Template-Type: ReDIF-Article 1.0 Author-Name: Rajdeep Singh Author-X-Name-First: Rajdeep Author-X-Name-Last: Singh Author-Name: Chandan Deep Singh Author-X-Name-First: Chandan Deep Author-X-Name-Last: Singh Author-Name: Talwinder Singh Author-X-Name-First: Talwinder Author-X-Name-Last: Singh Title: Qualitative analysis of core functional competencies in Indian manufacturing industry Abstract: Core functional competencies play a major role in the organisations for better competitiveness in the market. These provide a firm's capabilities so that it can perform quickly, with greater flexibility, or with a higher calibre of reliability than competitors. For analysing these factors, various tools and techniques are used like quantitative and qualitative analysis tools. This paper explores the study and analysis of the core functional competencies using various qualitative tools in multi criteria decision making techniques. During the analysis different factors have been identified and categorised on the priority basis using the MCDM techniques which can help the organisation through better insight of core functional competencies. Journal: Int. J. of Process Management and Benchmarking Pages: 310-331 Issue: 3 Volume: 15 Year: 2023 Keywords: technical competency; VIKOR; TOPSIS; EDAS; MOORA; SMART. File-URL: http://www.inderscience.com/link.php?id=134145 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:3:p:310-331 Template-Type: ReDIF-Article 1.0 Author-Name: Pawan Kumar Author-X-Name-First: Pawan Author-X-Name-Last: Kumar Author-Name: Deergha Sharma Author-X-Name-First: Deergha Author-X-Name-Last: Sharma Title: Benchmarking the financial performance of Indian commercial banks by a hybrid MCDM approach Abstract: The current research has presented a hybrid multi-criteria decision making (MCDM) strategy to assess the financial performance of the ten major commercial banks operating in India from 2016-2017 to 2020-2021. The essential financial performance indicators were obtained from secondary literature and subsequently prioritised using a fuzzified rating scale by applying the fuzzy analytical hierarchy process (AHP) approach. The financial condition of chosen institutions was weighted using the technique for order of preference by similarity to ideal solution (TOPSIS). The cumulative ranking of the selected banks was eventually determined via interval-valued TOPSIS (IV-TOPSIS). The analysis found that return on equity is the most essential of all the financial performance measures, and Bandhan Bank is the top performer among all the examined banks. The study results have proposed specific financial performance standards and provided a requirement for trailing institutions to improve their financial status. The breadth of the study is crucial for bank management and policymakers in the field of strategic decision-making for sustainable banking systems. Journal: Int. J. of Process Management and Benchmarking Pages: 285-309 Issue: 3 Volume: 15 Year: 2023 Keywords: financial performance; fuzzy AHP; TOPSIS; interval-valued TOPSIS; Indian commercial banks. File-URL: http://www.inderscience.com/link.php?id=134147 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:3:p:285-309 Template-Type: ReDIF-Article 1.0 Author-Name: Rajdeep Singh Author-X-Name-First: Rajdeep Author-X-Name-Last: Singh Author-Name: Chandan Deep Singh Author-X-Name-First: Chandan Deep Author-X-Name-Last: Singh Author-Name: Talwinder Singh Author-X-Name-First: Talwinder Author-X-Name-Last: Singh Title: Fuzzy TOPSIS and fuzzy VIKOR-based justification of factors affecting the performance of the manufacturing industry in North India Abstract: Manufacturing industries in India are under high pressure for their sustainability because of the competition given by other global giants in the market. To fight the competition, companies are adopting various innovative ideas and new technologies. At this stage, core functional competencies can play a better role for the selection of optimal parameters. To find the influential factors, various decision-making methods are used. This paper deals with the selection of the alternatives which are important for the manufacturing industry in North India by using fuzzy TOPSIS and fuzzy VIKOR techniques. Nine factors have been used for the study. Using the techniques, ranking of alternatives has been done and preference is given. Journal: Int. J. of Process Management and Benchmarking Pages: 400-420 Issue: 3 Volume: 15 Year: 2023 Keywords: fuzzy TOPSIS; fuzzy VIKOR; core functional competency; sustainability; India. File-URL: http://www.inderscience.com/link.php?id=134148 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:3:p:400-420 Template-Type: ReDIF-Article 1.0 Author-Name: M. Naveen Srinivas Author-X-Name-First: M. Naveen Author-X-Name-Last: Srinivas Author-Name: K.E.K. Vimal Author-X-Name-First: K.E.K. Author-X-Name-Last: Vimal Title: Benchmarking the metal additive manufacturing processes using integrated AHP-PROMETHEE approach Abstract: The purpose of this paper is to propose an integrated MCDM approach for the selection of the best process from the five-metal additive manufacturing (MAM) processes namely selective laser melting, direct metal laser sintering, laser engineered net shaping, electron beam melting, and wire arc additive manufacturing process at low production volume and high production volume scenarios. An integrated approach of the analytical hierarchy process (AHP) and preference ranking organisation method for enrichment evolution (PROMETHEE) is applied for the selection process. Twenty-four criteria have been identified from the literature and divided into five criteria groups namely process capability, mechanical properties, process efficiency, process economics, and sustainability. Results have shown that the proposed integrated approach can accomplish the goal of this study. According to the authors' knowledge there is no study considering both traditional criteria and sustainable criteria for the selection of the MAM process. This study will help the manufacturer to attain sustainable development goals. Journal: Int. J. of Process Management and Benchmarking Pages: 332-358 Issue: 3 Volume: 15 Year: 2023 Keywords: metal additive manufacturing; MAM; AHP; PROMETHEE; traditional criteria; sustainable criteria. File-URL: http://www.inderscience.com/link.php?id=134149 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:3:p:332-358 Template-Type: ReDIF-Article 1.0 Author-Name: Soumil Mukherjee Author-X-Name-First: Soumil Author-X-Name-Last: Mukherjee Author-Name: Amber Batwara Author-X-Name-First: Amber Author-X-Name-Last: Batwara Author-Name: Vikram Sharma Author-X-Name-First: Vikram Author-X-Name-Last: Sharma Title: Modelling the critical criteria for leagile production system using hybrid approach Abstract: Competition and demand for readily feasible, durable, and sustainable goods are increasing worldwide. The last few months have been challenging for the manufacturing organisations world over. Organisations are turning to approaches such as computer-integrated manufacturing, lean, agile, Industry 4.0, and supply chain management to address these challenges. Leagile manufacturing combines the concepts of lean and agile production systems. Using popular relational techniques such as interpretive structural modelling (ISM) and interpretive ranking process (IRP), this paper aims to assess and present the critical criteria for implementing the leagile production system. ISM and IRP have been employed to examine the contextual relationship among the requirements for a leagile production system and suggest a prioritised implementation of these criteria concerning relevant key performance indicators. This study is among the first to employ two interpretive methodologies to establish contextual relationships among the critical criteria of the leagile production system and provide a leagile implementation framework. Journal: Int. J. of Process Management and Benchmarking Pages: 435-460 Issue: 4 Volume: 15 Year: 2023 Keywords: agile; interpretive structural modelling; ISM; interpretive ranking process; IRP; leagile; manufacturing. File-URL: http://www.inderscience.com/link.php?id=134661 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:4:p:435-460 Template-Type: ReDIF-Article 1.0 Author-Name: Nguyen Thi Khanh Chi Author-X-Name-First: Nguyen Thi Khanh Author-X-Name-Last: Chi Author-Name: Phong Le Author-X-Name-First: Phong Author-X-Name-Last: Le Author-Name: Nguyen Thi Hoa Hong Author-X-Name-First: Nguyen Thi Hoa Author-X-Name-Last: Hong Author-Name: Nguyen Thuy Anh Author-X-Name-First: Nguyen Thuy Author-X-Name-Last: Anh Author-Name: Thai Thanh Ha Author-X-Name-First: Thai Thanh Author-X-Name-Last: Ha Title: The role of technology, governance mechanisms, and training in building digital platforms for disabled people's employment Abstract: This study aims to examine the impact of determinants on digital platform for disabled people and their satisfaction. Data was gathered from 215 disabled people in Vietnam, and structural equation analysis was used to test the relationship. The result reveals that people with disabilities need appropriate training, technology, and governance mechanisms to be able to access digital platforms and be satisfied with working. Out of three factors, governance mechanism is found to be the key determinant impacting digital platform implementation and job satisfaction of disabled persons. Meanwhile, technology has a direct positive influence on building digital platforms but has an indirect impact on job satisfaction. Journal: Int. J. of Process Management and Benchmarking Pages: 359-372 Issue: 3 Volume: 15 Year: 2023 Keywords: digital platforms; people with disabilities; training; technology; governance mechanism; job satisfaction. File-URL: http://www.inderscience.com/link.php?id=134150 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:3:p:359-372 Template-Type: ReDIF-Article 1.0 Author-Name: Tara Prasad Padhy Author-X-Name-First: Tara Prasad Author-X-Name-Last: Padhy Author-Name: Subhasish Das Author-X-Name-First: Subhasish Author-X-Name-Last: Das Author-Name: L.P. Panda Author-X-Name-First: L.P. Author-X-Name-Last: Panda Title: Workplace empowerment and employee involvement: empowering workplace conditions Abstract: This study highlights the impact of workplace empowerment (WPEM) on employee involvement (EI) with an emphasis on quality of work life (QOWL) acting as a mediator to the research. This paper has adopted a quantitative approach and used a structured questionnaire to collect data from the managerial level employees, executives, and other staffs working in the energy sector of twin cities, Bhubaneswar and Cuttack, in Odisha. The findings suggest that by providing favourable and empowering workplace conditions along with higher QOWL can substantially enhance EI levels. A triadic link was affirmed that lays novel insights on organisational empowerment through the mediator QOWL in place. A better QOWL enhances the morale of the existing employees to perform their jobs more effectively, promotes the achievement of organisational strategies and alleviating the decision-making process, thereby adding novelty to the study. Journal: Int. J. of Process Management and Benchmarking Pages: 461-478 Issue: 4 Volume: 15 Year: 2023 Keywords: workplace empowerment; quality of work life; employee involvement; mediation; energy sector. File-URL: http://www.inderscience.com/link.php?id=134662 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:4:p:461-478 Template-Type: ReDIF-Article 1.0 Author-Name: Sertse Abebe Author-X-Name-First: Sertse Author-X-Name-Last: Abebe Author-Name: Hossana Twinomurinzi Author-X-Name-First: Hossana Author-X-Name-Last: Twinomurinzi Title: Identifying business services from small and micro enterprises' collaboration: the activity-based service identification framework Abstract: In a service-oriented (SO) development paradigm, service identification (SI) occurs earlier to describe service requirements from a business process (BP). There exist several SI strategies. However, they have been devised to identify services from mature BP. There is, therefore, a need for SI strategies that cater to identify services from the emerging heterogeneous collaborative environments such as exist for small and micro enterprises (SMEs). This paper has developed the activity-based SI framework (ASIF) from activity-theory (AT) using design science research (DSR) methods. Guiding the selection and scoping of the collaboration activity, analysing goals and goal-oriented activity (actions), analysing objects, analysing stakeholders and their interactions, analysing rules and division of labour (DOL) within the collaboration processes, and identifying reusable, granular, and composable services are the contextual design principles of ASIF. The framework has been exemplified using a case study on SMEs' peer-to-peer collaborative lending activities in the Ethiopian context. Journal: Int. J. of Process Management and Benchmarking Pages: 373-399 Issue: 3 Volume: 15 Year: 2023 Keywords: collaboration service identification; collaboration service requirement analysis; activity-based service identification; SMEs' collaboration process. File-URL: http://www.inderscience.com/link.php?id=134151 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:3:p:373-399 Template-Type: ReDIF-Article 1.0 Author-Name: Thomas Lager Author-X-Name-First: Thomas Author-X-Name-Last: Lager Author-Name: Per Storm Author-X-Name-First: Per Author-X-Name-Last: Storm Title: From product supplier to solution provider - integrating a service perspective in the product innovation work process for non-assembled products Abstract: In a survey mode of inquiry with informants in 19 global manufacturing companies in six sectors of the process industries, integration of product-service offerings (PSO) in the product innovation work process for non-assembled products has been examined. The results reveal that the case-companies have already come far on what one could characterise as a <i>service infusion</i> journey. The findings further indicate that it is advisable not only to articulate and institutionalise a PSO strategy during the contextualisation phase of a work process but also to include service development early in conceptualisation during pre-product development. A novel three-phase PSO sub-process has been developed and is proposed to be integrated in the product innovation work process. Apart from the confirmation of a need to deploy proper product launch strategies, a more general process-industrial dilemma has been identified related to the extremely long 'time-to-break-even' for product introductions during the post-launch phase. Journal: Int. J. of Process Management and Benchmarking Pages: 479-506 Issue: 4 Volume: 15 Year: 2023 Keywords: product-service offerings; PSO; product innovation; application development; product innovation work process; non-assembled products; process industries. File-URL: http://www.inderscience.com/link.php?id=134663 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:4:p:479-506 Template-Type: ReDIF-Article 1.0 Author-Name: Saloni Chitkara Author-X-Name-First: Saloni Author-X-Name-Last: Chitkara Author-Name: Saboohi Nasim Author-X-Name-First: Saboohi Author-X-Name-Last: Nasim Author-Name: Susmi Routray Author-X-Name-First: Susmi Author-X-Name-Last: Routray Title: Impact of return policies on the buying behaviour of the customers in e-commerce industry: a study from emerging economy Abstract: E-commerce is gaining significant importance as customers' preferences for online buying continue to change. The buying and selling of goods and services through the internet is known as e-commerce (or electronic commerce). E-commerce business comprises a variety of information, frameworks, and tools for both online buyers and sellers, ranging from mobile shopping to online payment encryption and beyond. The majority of e-commerce businesses use a web-based platform to manage logistics and performance, as well as conduct online marketing and sales. Because of today's extremely competitive market, a big percentage of whatever is sold has a potential of being returned, which adds to the manufacturer's costs. As a result, in this highly competitive global market with shrinking profit margins and ever-changing customer's preferences, e-commerce organisations are being obliged to establish an effective and well managed return process management. As a result, the objective of our research was to determine the level of customer awareness about return policies, and further research into the impact of e-tailers' return policies on customers' purchasing behaviour. A well-structured questionnaire was distributed among internet shopping regulars for this purpose. Various statistical tools, such as SPSS, were used to analyse the data. Journal: Int. J. of Process Management and Benchmarking Pages: 421-434 Issue: 3 Volume: 15 Year: 2023 Keywords: e-commerce; e-tailers; return policies; online shopping. File-URL: http://www.inderscience.com/link.php?id=134152 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:3:p:421-434 Template-Type: ReDIF-Article 1.0 Author-Name: Manish Kaushik Author-X-Name-First: Manish Author-X-Name-Last: Kaushik Author-Name: Devendra Choudhary Author-X-Name-First: Devendra Author-X-Name-Last: Choudhary Title: Essential factors for seru implementation using ANP and AHP method Abstract: In this paper, factors essential for implementing seru production are ranked according to their priority according to analytic network process (ANP) and analytic hierarchy process (AHP) technology. From the literature review, four main factors and 16 sub-factors were picked out and are validated by industrial experts and academia. Then, both ANP and AHP methods were applied to find the most influencing factors for seru implementation and also the results are validated through sensitivity analysis. The analysis carried out concludes that for implementing seru production, 'moveable workstation', (MW) 'light equipment' (LTE) 'multi-skilled labour' and 'cross-training of labour', are the most influencing and enabling factors that managers of industries should focus on. The process followed in this paper can be utilised by industries for seru production implementation. The approach followed in this paper is of the first few to be carried out for factor analysis for implementing seru production system (SPS). Journal: Int. J. of Process Management and Benchmarking Pages: 524-550 Issue: 4 Volume: 15 Year: 2023 Keywords: seru production system; SPS; factor analysis; ANP and AHP. File-URL: http://www.inderscience.com/link.php?id=134664 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:4:p:524-550 Template-Type: ReDIF-Article 1.0 Author-Name: Maitri Author-X-Name-First: Author-X-Name-Last: Maitri Author-Name: Samarth Singh Author-X-Name-First: Samarth Author-X-Name-Last: Singh Title: Talent analytics and customer performance: insights from the Indian banking sector Abstract: The study focuses on inspecting the impact of talent analytics or human resource analytics (HRAs) on customers' performance in the Indian banking sector. Empirical data was obtained using quantitative analysis with 500 Indian banking professionals'. The technology acceptance model and diffusion of innovation theory led to the evolution of the questionnaire. The outcome of this analysis shows using of HRA in an organisation improves the ability of an organisation to assess the data of the customer, reduces the cost of analysing customer data, helps in fast handling of customer queries, and control managers' manipulation to substantially assess customer satisfaction. Further, the study finding affirms banking professionals are in favour of accepting the HRA through the elements of TAM theory. Journal: Int. J. of Process Management and Benchmarking Pages: 507-523 Issue: 4 Volume: 15 Year: 2023 Keywords: talent analytics; human resource analytics; HRAs; customer retention; customer satisfaction; customer performance; Indian banking. File-URL: http://www.inderscience.com/link.php?id=134665 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:4:p:507-523 Template-Type: ReDIF-Article 1.0 Author-Name: Chandan Deep Singh Author-X-Name-First: Chandan Deep Author-X-Name-Last: Singh Author-Name: Harleen Kaur Author-X-Name-First: Harleen Author-X-Name-Last: Kaur Title: Role of sustainable green development through AMMT in improving performance of manufacturing industries Abstract: Today, many production strategies are influenced by quality, cost, delivery, design, and responsiveness. Firms have traditionally pursued these goals through the adoption of production practices, such as simultaneous engineering, increased efficiency by eliminating errors, reducing setups, etc., and staff development. This paper analyses the data. Describes the analysis done to get the results you want. PASW is a mathematical tool used to apply different mathematical strategies. The various mathematical methods used are: t-test, ANOVA, chi-square, factor analysis, correlation, and regression. Recent developments in the industry suggest another way to achieve better productivity, i.e., industrial regulators and trained organisations must encourage innovation in a variety of high-tech production environment. Success in the industry depends on the production facilities and competitive advantage gained by the industry due to better quality and reliability. Journal: Int. J. of Process Management and Benchmarking Pages: 488-526 Issue: 4 Volume: 13 Year: 2023 Keywords: t-test; ANOVA; chi-square; factor analysis; correlation; regression; sustainable development; green engineering; advanced manufacturing techniques; advanced maintenance techniques; SPSS; PASW. File-URL: http://www.inderscience.com/link.php?id=129820 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:4:p:488-526 Template-Type: ReDIF-Article 1.0 Author-Name: Chandan Deep Singh Author-X-Name-First: Chandan Deep Author-X-Name-Last: Singh Title: Case study based MCDM evaluation of manufacturing competency and strategic success Abstract: Presently, the industry is facing good competition due to the emergence of foreign manufacturing players in the country. There is a large base for manufacturing industries in India and thus, wide ranges of products are produced. In present times, organisations are facing drastic and aggressive competition for developing technologically sound innovative products, meeting stringent customer requirements, adopting IT-based design and production systems, evolving new organisation structures and evolving safe working environments. Thus, organisations need to accrue strategic skills to be able to succeed in the highly competitive environment. Organisational competitiveness results from the difference between the value that an organisation generates for its various stakeholders and the cost of creating that value. High level of competitiveness results from working with lower expenses than contenders for comparable advantages, or by offering customers with distinct advantages rather than incurring higher expenses. Journal: Int. J. of Process Management and Benchmarking Pages: 553-570 Issue: 4 Volume: 13 Year: 2023 Keywords: manufacturing competency; strategic success; analytical hierarchy process; AHP; TOPSIS; VIKOR; case study. File-URL: http://www.inderscience.com/link.php?id=129821 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:4:p:553-570 Template-Type: ReDIF-Article 1.0 Author-Name: Ashwarya Kapoor Author-X-Name-First: Ashwarya Author-X-Name-Last: Kapoor Author-Name: Rajiv Sindwani Author-X-Name-First: Rajiv Author-X-Name-Last: Sindwani Author-Name: Manisha Goel Author-X-Name-First: Manisha Author-X-Name-Last: Goel Title: Evaluating mobile wallet acceptance factors using best worst method Abstract: The aim of the present research is to propose a novel multi-criteria approach for assessment of mobile wallet (m-wallet) key acceptance factors. Six critical acceptance factors are identified through extensive literature review and discussion with an expert. A new important factor influencing acceptance of m-wallet called 'policy and regulatory measures' has been proposed by authors. This has resulted in total of seven key acceptance factors. A relatively new and efficacious multi-criteria decision-making technique named best worst method (BWM) has been applied to evaluate and rank the key acceptance factors. Sensitivity analysis has been conducted to examine the reliability of the study. Analysis revealed 'perceived security and trust' as the top most factor leading to acceptance of m-wallet among consumers. Examination of the literature indicates that this study is among the pioneer studies to prioritise key acceptance factors of m-wallet acceptance using BWM. The focus on key acceptance factors proposed in this study will help m-wallet service providers to improve their business processes. This will eventually help them to increase m-wallet acceptance. Journal: Int. J. of Process Management and Benchmarking Pages: 449-469 Issue: 4 Volume: 13 Year: 2023 Keywords: mobile wallet; key acceptance factors; best worst method; BWM; multi-criteria decision-making; MCDM; prioritisation. File-URL: http://www.inderscience.com/link.php?id=129822 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:4:p:449-469 Template-Type: ReDIF-Article 1.0 Author-Name: Savita Sodhi Author-X-Name-First: Savita Author-X-Name-Last: Sodhi Author-Name: Anupam Ghosh Author-X-Name-First: Anupam Author-X-Name-Last: Ghosh Title: Sustainability reports: a thematic analysis related to sustainability factors - manufacturing perspective Abstract: Globally many industries have realised the importance of sustainability and sustainable development. Nowadays problems that are caused by the manufactured products have compelled organisation to take the mandatory initiatives on triple bottom line. The sustainability approach shall be imbibed in the life cycle of the product to manufacture a sustainable product. Incorporation of sustainability factors not only leads to sustainable manufacturing but also leads to the improvement and development of sustainable product life cycle approach. The improvement in the sustainability factors will help manufacturing companies to draw a new perspective in achieving sustainable product life cycle approach during manufacturing (B2B). This further will make new pathways to establish relationship between various processes/systems at the manufacturing end, dealers, vendors, user end, etc., to make the business journey more sustainably profitable. The present research conducted helps the manufacturing senior management to develop policies to promote and to take care of the sustainability factors from product life cycle aspect. Journal: Int. J. of Process Management and Benchmarking Pages: 149-181 Issue: 2 Volume: 15 Year: 2023 Keywords: sustainability; product life cycle; manufacturing; sustainable product life cycle; thematic analysis; sustainability reports. File-URL: http://www.inderscience.com/link.php?id=133151 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:2:p:149-181 Template-Type: ReDIF-Article 1.0 Author-Name: Ashraf Bataineh Author-X-Name-First: Ashraf Author-X-Name-Last: Bataineh Author-Name: Ashraf Alrjoub Author-X-Name-First: Ashraf Author-X-Name-Last: Alrjoub Title: Impact of ERP systems on the internal auditing effectiveness in light of governance mechanisms: evidence from Jordan Abstract: This study aims to identify the impact of enterprise resource planning (ERP) systems on internal audit effectiveness, in light of governance mechanisms in Jordanian industrial companies. The study used the descriptive analysis method to extrapolate data from literature and previous studies related to the study topic. In addition, the analytical method was utilised in distributing (330) questionnaires to members of Jordanian industrial companies that implement ERP systems. Study results found an impact of the dimensions of ERP systems (conformity of organisational operations, supporting senior management, IT department efficiency, and business process reengineering) on the effectiveness of internal audit, in light of governance mechanisms, in Jordanian industrial companies. Therefore, the study recommended the need to generalise ERP systems in all business organisations and allow all employees to participate in every step of the implementation; and not just its users, the authorities and responsibilities of all parties related to the implementation of ERP systems in those companies should be specified. Journal: Int. J. of Process Management and Benchmarking Pages: 571-585 Issue: 4 Volume: 13 Year: 2023 Keywords: enterprise resource planning systems; ERP; governance mechanisms; internal audit; Jordanian industrial companies; Jordan. File-URL: http://www.inderscience.com/link.php?id=129823 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:4:p:571-585 Template-Type: ReDIF-Article 1.0 Author-Name: Harpreet Sharma Author-X-Name-First: Harpreet Author-X-Name-Last: Sharma Author-Name: Chandan Deep Singh Author-X-Name-First: Chandan Deep Author-X-Name-Last: Singh Author-Name: Kanwaljit Singh Author-X-Name-First: Kanwaljit Author-X-Name-Last: Singh Title: Analysis of objective criteria weighing techniques in different MCDM methods on technological competencies factor selection Abstract: Firms operate in a world that is becoming increasingly technologically advanced. The manufacturing market in India is currently witnessing healthy competition, particularly from global giants. A dynamic spectrum of possibly viable technologies exists to meet future production requirements. Organisations must be aware of the capacity and competency maturity stage of manufacturing technologies in order to sustain competitive advantages. This article examines data quality using a variety of multi-criteria decision making (MCDM) methodologies. Using a questionnaire survey, data was collected and different factors had been finalised. As a result of the analysis, the factors that have a significant impact on the company's performance and competitiveness were determined. The effects and priority of each item have been given a ranking. Journal: Int. J. of Process Management and Benchmarking Pages: 218-235 Issue: 2 Volume: 15 Year: 2023 Keywords: AHP; competitiveness; technical competency; principle eigenvalue; consistency ratio. File-URL: http://www.inderscience.com/link.php?id=133152 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:2:p:218-235 Template-Type: ReDIF-Article 1.0 Author-Name: N. Yuvaraja Author-X-Name-First: N. Author-X-Name-Last: Yuvaraja Author-Name: Swamy Perumandla Author-X-Name-First: Swamy Author-X-Name-Last: Perumandla Title: Financial knowledge and online payment decisions of Generation Z consumers: an empirical study using SEM approach Abstract: Generation Z is the future work force, and their decisions will influence the future of nations. A model was developed to explore the impact of financial knowledge on the online payment decisions of Generation Z. Using a structured questionnaire, data was collected from Generation Z individuals in India. Goodness of fit is estimated by structural equation modelling using AMOS. The study hypotheses were tested by employing path analysis. Study findings indicate financial knowledge and online payment decisions have a strong association among Generation Z. Path analysis results revealed that financial knowledge dimensions such as numerical ability and return calculating ability are positively associated and interestingly, risk-taking ability is negatively associated with online payment decisions, which indicates that Generation Z considers online payments are not risky. This paper provides the novel contribution of showing the association between financial knowledge and online payment decisions of Generation Z and outlines future research directions. Journal: Int. J. of Process Management and Benchmarking Pages: 198-217 Issue: 2 Volume: 15 Year: 2023 Keywords: decision science; financial knowledge; online payment decision; Generation Z; financial decision; financial behaviour; behavioural finance and financial literacy. File-URL: http://www.inderscience.com/link.php?id=133153 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:2:p:198-217 Template-Type: ReDIF-Article 1.0 Author-Name: Trinh Thi Thu Huong Author-X-Name-First: Trinh Thi Thu Author-X-Name-Last: Huong Author-Name: Nguyen Thuy Hanh Author-X-Name-First: Nguyen Thuy Author-X-Name-Last: Hanh Author-Name: Hoang Thi Doan Trang Author-X-Name-First: Hoang Thi Doan Author-X-Name-Last: Trang Author-Name: Nguyen Thi Khanh Chi Author-X-Name-First: Nguyen Thi Khanh Author-X-Name-Last: Chi Title: The impact of AI chatbots on customer experience in online retailing in an emerging economy Abstract: This study is undertaken to investigate whether companies can increase customer experience and satisfaction through AI chatbots in an emerging economy. This study uses customer data to test the impact of three chatbot dimensions on online experience. A questionnaire survey is used to collect data from 247 online customers in Vietnam. Empirical results indicate that chatbot customisation, perceived control, and interactive speed have a significant effect on cognitive experiential state while only chatbot customisation has impact on affective experiential state. Perceived control and interactive speed are found to have no effect on affective experience. Moreover, both components of customer experience (cognitive and affective experiential state) have significantly impacted online satisfaction. Based on these findings, this paper highlights the importance of chatbot on increasing customer satisfaction on the internet which further leads to their repurchase actions. Journal: Int. J. of Process Management and Benchmarking Pages: 182-197 Issue: 2 Volume: 15 Year: 2023 Keywords: AI chatbots; customer experience; online retailing; an emerging economy. File-URL: http://www.inderscience.com/link.php?id=133154 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:2:p:182-197 Template-Type: ReDIF-Article 1.0 Author-Name: Elia Oey Author-X-Name-First: Elia Author-X-Name-Last: Oey Author-Name: Wesley Yonathan Author-X-Name-First: Wesley Author-X-Name-Last: Yonathan Author-Name: Marcelino Dermawan Author-X-Name-First: Marcelino Author-X-Name-Last: Dermawan Author-Name: Johanes Ronaldy Polla Author-X-Name-First: Johanes Ronaldy Author-X-Name-Last: Polla Title: Fuzzy expert model for evaluating supply chain processes for Indonesian frozen tuna Abstract: Indonesia is well-known for its tuna production. To enrich its tuna processes and expand it to export markets, it is important for tuna industry players in Indonesia to have an assessment system for their processes. The study aims to develop guidelines for export quality frozen tuna for Indonesia tuna players. Data collection was done in Nizam Zachman Oceanic Fishing Port, one of the biggest ports in Indonesia. Critical activities in each of four key areas (catching, transporting, storing and processing) were identified by open questionnaires to tuna experts. The collected data was then cleansed and grouped as critical activities, and used as fuzzy input variables into a fuzzy expert system. The model was validated using analytical hierarchy process (AHP). The proposed FES model was then used as assessment tool for Indonesia tuna industry players in evaluating their processes to establish whether they are ready to serve export markets. Journal: Int. J. of Process Management and Benchmarking Pages: 236-266 Issue: 2 Volume: 15 Year: 2023 Keywords: analytical hierarchy process; AHP; export; fuzzy expert system; FES; tuna. File-URL: http://www.inderscience.com/link.php?id=133155 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:2:p:236-266 Template-Type: ReDIF-Article 1.0 Author-Name: Rasool Sahragard Author-X-Name-First: Rasool Author-X-Name-Last: Sahragard Author-Name: Reza Kamranrad Author-X-Name-First: Reza Author-X-Name-Last: Kamranrad Author-Name: Ehsan Mardan Author-X-Name-First: Ehsan Author-X-Name-Last: Mardan Title: Developing process mining approach to model the organised processes in a simulated system Abstract: Knowledge is a driving force for achieving strategic purposes of an organisation because it simplifies the decision-making process. Today, organisations need to identify their processes in competitive business environments so managing these processes acts that are customer-oriented, in case of necessity improves their processes, and makes a more agile environment for their business. Process mining has the ability to extract helpful information from business processes, evaluate them from various aspects, and finally use them to customer satisfaction. The purpose of this paper is the importance of recording information systems according to the process in an organisation, and explaining how to discover the process. To this aim, we investigate research assumptions and then perform simulation of visitor's organisational behaviours using MATLAB. Then we will refine the output data of simulated models and change them into an integrated and understandable data for process mining. Finally using DISCO software, we discover the processes and analyse them. Journal: Int. J. of Process Management and Benchmarking Pages: 470-487 Issue: 4 Volume: 13 Year: 2023 Keywords: data mining; process mining; business process; knowledge management; DISCO software. File-URL: http://www.inderscience.com/link.php?id=129833 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:4:p:470-487 Template-Type: ReDIF-Article 1.0 Author-Name: P. Vignesh Author-X-Name-First: P. Author-X-Name-Last: Vignesh Author-Name: S. Srinivasan Author-X-Name-First: S. Author-X-Name-Last: Srinivasan Author-Name: S. Maragatha Sundari Author-X-Name-First: S. Maragatha Author-X-Name-Last: Sundari Author-Name: C. Swedheetha Author-X-Name-First: C. Author-X-Name-Last: Swedheetha Title: Study on the queuing characteristics of MX/G/1 queuing model of stages of service with multi vacation policy and setup time phase Abstract: In this study, we look at a mass arrival queuing system that offers three levels of service to customers. The first-come, first-served (FCFS) principle applies to everyone who enters the queuing mechanism. The arrival process is supported by the Poisson distribution, and the service time continues to follow a general distribution. Between the phases of service in this queuing process, the concept of diverse vacation policy initiatives is pursued in two places, allowing the system to undertake necessary basic maintenance, resulting in the system running smoothly and without disruption. A stage of preparation time is spearheaded shortly before the third phase of service in order to accomplish the service as quickly as feasible. In this queuing system, the vacation policy and setup time are critical. The probability generating function is used to calculate the duration of the steady state of various system states in the aforementioned queuing problem. There are many other queue performance measures available. A review of the analysis report aids the system's efficiency and profitability. Journal: Int. J. of Process Management and Benchmarking Pages: 25-45 Issue: 1 Volume: 15 Year: 2023 Keywords: queuing strategy; phases of facility; server vacation; optional vacation; setup time and operational research method. File-URL: http://www.inderscience.com/link.php?id=132657 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:1:p:25-45 Template-Type: ReDIF-Article 1.0 Author-Name: Simanchala Das Author-X-Name-First: Simanchala Author-X-Name-Last: Das Author-Name: Yandrapragada Navya Sree Author-X-Name-First: Yandrapragada Navya Author-X-Name-Last: Sree Author-Name: Mehul Kumar Jain Author-X-Name-First: Mehul Kumar Author-X-Name-Last: Jain Author-Name: Gudiwada Gnana Venkata Sivasai Author-X-Name-First: Gudiwada Gnana Venkata Author-X-Name-Last: Sivasai Author-Name: Pasupuleti Vidya Author-X-Name-First: Pasupuleti Author-X-Name-Last: Vidya Title: Crisis leadership and automobile sector: an Indian perspective Abstract: The research aims to explore the concept of crisis leadership in the context of the automobile sector during the COVID-19 pandemic. Based on cues from extant literature, this study identified crisis leadership traits and behaviours. The opinion survey method was followed to draw responses from 223 employees of selected automobile manufacturing units in India. To meet the research objectives, the RIDIT technique was applied to prioritise and rank the identified dimensions. The empirical findings provide new insights regarding the crisis leadership domain and also aid effective strategy formulation from the organisational perspective. This study can help to understand the importance of crisis management capabilities to tackle complex and volatile business situations. Journal: Int. J. of Process Management and Benchmarking Pages: 267-284 Issue: 2 Volume: 15 Year: 2023 Keywords: crisis; leadership; COVID-19; automobiles; Indian market. File-URL: http://www.inderscience.com/link.php?id=133169 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:2:p:267-284 Template-Type: ReDIF-Article 1.0 Author-Name: Sunita Sethy Author-X-Name-First: Sunita Author-X-Name-Last: Sethy Author-Name: Rajesh Kumar Behera Author-X-Name-First: Rajesh Kumar Author-X-Name-Last: Behera Author-Name: Jaydev Rana Author-X-Name-First: Jaydev Author-X-Name-Last: Rana Author-Name: Kamalakanta Muduli Author-X-Name-First: Kamalakanta Author-X-Name-Last: Muduli Title: Experimental investigation on the performance variations of three different work piece materials in EDM with variation of thermo-physical properties Abstract: The machining performances of Ti-6Al-4V, SS316, and WC work pieces were investigated in this study employing electro-discharge machining (EDM) while taking various thermo-physical parameters into consideration. Surface roughness, material removal rate, tool wear rate, radial overcut, surface fracture density, and surface hardness have all been explored utilising a variety of input parameters, including discharge current, pulse on time, and pulse off time, to determine their respective values. In the present research work three different work-piece materials with different thermo-physical properties such as thermal conductivity, thermal diffusivity and melting point have been considered which is new as compared to earlier research work. Among the materials employed in the creation of the work pieces, there is a wide range of performance characteristics. When the current increases, the rate at which MRR, TWR, and radial overcut in SS316 go up is much faster than in Ti-6Al-4V and tungsten carbide. Journal: Int. J. of Process Management and Benchmarking Pages: 46-72 Issue: 1 Volume: 15 Year: 2023 Keywords: electro-discharge machining; EDM; material removal rate; MRR; tool wear rate; TWR; surface roughness; surface crack density; surface hardness. File-URL: http://www.inderscience.com/link.php?id=132659 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:1:p:46-72 Template-Type: ReDIF-Article 1.0 Author-Name: Minwir M. Al-Shammari Author-X-Name-First: Minwir M. Author-X-Name-Last: Al-Shammari Title: A case study analysis for implementing a BPR project at a global ICT company Abstract: This paper involves an in-depth analysis of implementing a business process reengineering (BPR) project at a global information and communications technology (GICT) services company in the Middle East. GICT dominated its market without real competition for decades but woke up in a very turbulent market full of strong competitors and fully aware customers who are demanding and selective at the same time. It undertook a review and improvement of its services to achieve excellent customer service standards and stay ahead of competitors. The paper analyses the BPR adopted framework, transformation journey, business results, and issues and challenges. The study employs an exploratory case study design, where in-depth interviews, field observations, and official records for data collection. The new process and structure design of GICT promoted an entirely new way of thinking and achievement of several benefits, such as functional collaboration, alignment of organisational objectives, and integrated and cross-functional customer service. Journal: Int. J. of Process Management and Benchmarking Pages: 90-106 Issue: 1 Volume: 15 Year: 2023 Keywords: business process; organisational structure; process reengineering; digital transformation; business process reengineering; BPR; ICT. File-URL: http://www.inderscience.com/link.php?id=132660 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:1:p:90-106 Template-Type: ReDIF-Article 1.0 Author-Name: Nguyen Hong Quan Author-X-Name-First: Nguyen Hong Author-X-Name-Last: Quan Author-Name: Vu Phuong Linh Author-X-Name-First: Vu Phuong Author-X-Name-Last: Linh Author-Name: Pham Ngoc Anh Author-X-Name-First: Pham Ngoc Author-X-Name-Last: Anh Author-Name: Vu Quynh Chi Author-X-Name-First: Vu Quynh Author-X-Name-Last: Chi Author-Name: Nguyen Kim Thanh Author-X-Name-First: Nguyen Kim Author-X-Name-Last: Thanh Author-Name: Duong Minh Hang Author-X-Name-First: Duong Minh Author-X-Name-Last: Hang Title: Workplace incivility and frontline employees' capacity to satisfy customers: what stands in-between? Abstract: Workplace incivility has exerted negative influences on employees' well-being and led to lower service quality, the mechanism of which is yet fully explained by existing literature. This research aims to investigate the effects of three kinds of workplace incivility on frontline employees' capacity to satisfy customers using conservation of resources (COR) theory and propose psychological capital (PsyCap) as a moderator. A questionnaire was distributed to 608 frontline employees in Vietnam working in four service sectors. Both CB-SEM and PLS-SEM were employed using SPSS, AMOS and SmartPLS softwares to analyse the measurement and structural models. Incivility from customers, coworkers, and supervisors has significant negative influences on FLEs' capacity to satisfy customers that are partially mediated by emotional exhaustion and exhausted perceived organisational support. PsyCap partially moderates the effect of supervisor incivility on emotional exhaustion. The results recommend policies and intervention programs related to enhancing FLEs' PsyCap. Journal: Int. J. of Process Management and Benchmarking Pages: 107-130 Issue: 1 Volume: 15 Year: 2023 Keywords: frontline employees; FLEs; workplace incivility; emotional exhaustion; perceived organisational support; POS; psychological capital; PsyCap; capacity to satisfy customers; CSC. File-URL: http://www.inderscience.com/link.php?id=132666 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:1:p:107-130 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Mohsen Mirbagher Author-X-Name-First: Mohammad Mohsen Author-X-Name-Last: Mirbagher Author-Name: Sayyed Mohsen Allameh Author-X-Name-First: Sayyed Mohsen Author-X-Name-Last: Allameh Author-Name: Seyed Ali Siadat Author-X-Name-First: Seyed Ali Author-X-Name-Last: Siadat Title: Designing and obtaining an organisational DNA model (case study: public organisations and companies in Isfahan province) Abstract: The present study aimed to design a model for organisational DNA in public companies and organisations in Isfahan. The statistical population of the qualitative section included 15 public companies and organisations of Isfahan province, which were selected by a purposive sampling approach, and 384 employees were included in the quantitative section that were selected by the stratified random sampling method. Results of the data analysis showed that information block could be explained in four dimensions (organic approach, optimal information monitoring, and conformity of the general evaluation of the organisation with the existential nature of the organisation), developing practical measures to evaluate performance, functional feedback, and information). Structure block could be explained in three dimensions (integrated process-focused structure, organic structure with the knowledge management approach, development based on the organisation's mission). The motivational block and the right decision-making block could be respectively explained in one dimension (optimal motivation system) and two dimensions (participatory decision-making to develop employees and the organisation and implement a meritocracy system based on the real interest of the organisation and organisational stakeholders). Journal: Int. J. of Process Management and Benchmarking Pages: 73-89 Issue: 1 Volume: 15 Year: 2023 Keywords: organisational DNA; information; structure; motivators; decision making. File-URL: http://www.inderscience.com/link.php?id=132667 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:1:p:73-89 Template-Type: ReDIF-Article 1.0 Author-Name: A. Ranjith Raj Author-X-Name-First: A. Ranjith Author-X-Name-Last: Raj Author-Name: S. Vinodh Author-X-Name-First: S. Author-X-Name-Last: Vinodh Title: Application of interpretive structural modelling for analysis of factors of friction-based additive manufacturing Abstract: Friction-based additive manufacturing (FBAM) has gained popularity in recent years, with applications in a wide range of domains. FBAM process is highly suitable for aluminium alloys. Due to the high strength to weight property, aluminium alloy has significant applications in industry such as aerospace, marine and automotive domains. A structural model illustrating the interrelationship of factors could be developed to improve the effectiveness of FBAM. In this regard, this article describes the development of a structural model for FBAM using interpretive structural modelling (ISM) approach. The development of a structural model and MICMAC analysis revealed key influencing factors. According to the derived model, the factors 'no usage of consumable electrode', 'no problems with hot cracking, porosity', and 'no post processing' are dominant. The implications for additive manufacturing practitioners are being highlighted. Journal: Int. J. of Process Management and Benchmarking Pages: 131-148 Issue: 1 Volume: 15 Year: 2023 Keywords: additive manufacturing; friction-based additive manufacturing; FBAM; interpretive structural modelling; ISM; modelling; MICMAC analysis. File-URL: http://www.inderscience.com/link.php?id=132671 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:1:p:131-148 Template-Type: ReDIF-Article 1.0 Author-Name: Porferio M. Almerino Jr. Author-X-Name-First: Porferio M. Almerino Author-X-Name-Last: Jr. Author-Name: Celbert M. Himang Author-X-Name-First: Celbert M. Author-X-Name-Last: Himang Author-Name: Reylan G. Capuno Author-X-Name-First: Reylan G. Author-X-Name-Last: Capuno Author-Name: Dennis L. Capuyan Author-X-Name-First: Dennis L. Author-X-Name-Last: Capuyan Author-Name: Raymond C. Espina Author-X-Name-First: Raymond C. Author-X-Name-Last: Espina Author-Name: Randy C. Mangubat Author-X-Name-First: Randy C. Author-X-Name-Last: Mangubat Author-Name: Eric R. Villarin Author-X-Name-First: Eric R. Author-X-Name-Last: Villarin Author-Name: Ramil P. Manguilimotan Author-X-Name-First: Ramil P. Author-X-Name-Last: Manguilimotan Author-Name: Veronica O. Calasang Author-X-Name-First: Veronica O. Author-X-Name-Last: Calasang Author-Name: Angelito L. Marsan Author-X-Name-First: Angelito L. Author-X-Name-Last: Marsan Author-Name: Janneka Fae C. Capuno Author-X-Name-First: Janneka Fae C. Author-X-Name-Last: Capuno Author-Name: Joedel B. Bellete Author-X-Name-First: Joedel B. Author-X-Name-Last: Bellete Author-Name: Dharyll Prince M. Abellana Author-X-Name-First: Dharyll Prince M. Author-X-Name-Last: Abellana Author-Name: Lanndon A. Ocampo Author-X-Name-First: Lanndon A. Author-X-Name-Last: Ocampo Title: The roles of demographic attributes on technical design practices: a case of curtain wall systems Abstract: With the need to integrate green solutions in the construction industry, the design of curtain wall systems has become more relevant due to their tendency to reduce energy costs and carbon emissions in high-rise buildings. However, with the limited attention given to these systems' technical design practices, developing a more comprehensive framework for evaluating them is a current gap in the literature. To address this gap, this paper evaluates the technical design practices of a fully framed aluminium curtain wall in the Philippines using a purposive survey. Furthermore, the paper seeks to infer whether an association between the identified profile and design practices exists. This work contributes significantly to the current literature. It is the first to evaluate the technical design practices of curtain wall systems in the Philippines to the best of our knowledge. The findings in this study would be beneficial for stakeholders as they can be used to develop benchmarks for evaluating CWS in the country. Journal: Int. J. of Process Management and Benchmarking Pages: 335-356 Issue: 3 Volume: 13 Year: 2023 Keywords: aluminium fabrication; aluminium installation; American Society for Testing and Materials; ASTM; fully framed curtain wall; installation specification. File-URL: http://www.inderscience.com/link.php?id=129602 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:3:p:335-356 Template-Type: ReDIF-Article 1.0 Author-Name: Nagamani Subramanian Author-X-Name-First: Nagamani Author-X-Name-Last: Subramanian Author-Name: M. Suresh Author-X-Name-First: M. Author-X-Name-Last: Suresh Title: Assessment framework for lean-sustainable HRM practices Abstract: Stakeholders' greater pressure on the businesses to gain maximum profits, to improve the social condition, and to restore the planet's health has forced the firms to adopt sustainable, innovative, and people-oriented strategies in their business operations. For the successful implementation of any strategies, firms need to focus on the HRM practices since, human resource is the one who initiates, implements, and makes any improvement sustainable. The study aims to assess the lean-sustainable HRM practices of the Indian retail industry by using multi-grade fuzzy. Four enablers, 22 criteria, and 84 attributes were identified through extensive literature review and expert opinion. The calculated overall lean-sustainability HRM index 6.7, reveals that the case retail store 'focuses lean-sustainable HRM practices'. The study also offered necessary suggestions for improving the identified weaker attributes. This framework will help the managers to periodically assess their store's lean-sustainable HRM practices and make necessary actions for enhancing its overall performance. Journal: Int. J. of Process Management and Benchmarking Pages: 527-552 Issue: 4 Volume: 13 Year: 2023 Keywords: lean HRM; sustainable HRM; HRM practices; retail store; multi-grade fuzzy; importance performance analysis; IPA. File-URL: http://www.inderscience.com/link.php?id=129863 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:4:p:527-552 Template-Type: ReDIF-Article 1.0 Author-Name: Rajesh Attri Author-X-Name-First: Rajesh Author-X-Name-Last: Attri Author-Name: Vikas Author-X-Name-First: Author-X-Name-Last: Vikas Title: Prioritisation of key readiness factors to adopt Industry 4.0 in manufacturing organisations using select MCDM approaches Abstract: Industry 4.0 is the utmost substantial matter of concern for manufacturing organisation these days. Every manufacturing organisation's readiness for Industry 4.0 can be measured by a list of necessary factors (known as key readiness factors). Finding the key readiness factors (KRFs) is not the only required task but it is also an extremely important job to prioritise those KRFs because the importance and requirement of KRFs is different for different industries. So, the main objective of this project is to explore and prioritise the KRFs of Industry 4.0 based on certain performance measures, i.e., benefits of adopting Industry 4.0. For this purpose, KRFs and performance measures (benefits) have been explored through literature study and experts' opinions. Afterwards, weightage of performance measures have been computed using fuzzy best worst method. Then, different MCDM approaches namely ORESTE, OCRA, ARAS, and CODAS have been used to prioritise the identified KRFs based on certain performance measures. The obtained results of current work will serve as information bank for the top management of manufacturing organisation to know and deploy the significant KRFs of Industry 4.0 in their implementation strategy. Journal: Int. J. of Process Management and Benchmarking Pages: 303-334 Issue: 3 Volume: 13 Year: 2023 Keywords: Industry 4.0; key readiness factor; KRFs; ranking; ORESTE; operational competitiveness rating analysis; OCRA; ARAS; CODAS. File-URL: http://www.inderscience.com/link.php?id=129610 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:3:p:303-334 Template-Type: ReDIF-Article 1.0 Author-Name: P. Ramesh Author-X-Name-First: P. Author-X-Name-Last: Ramesh Author-Name: S. Vinodh Author-X-Name-First: S. Author-X-Name-Last: Vinodh Title: Benchmarking COPRAS and TOPSIS approaches for optimisation of FDM process parameters: a case of an automotive component Abstract: Fused deposition modelling (FDM)-based additive manufacturing (AM) process is inevitable for new product development and prototype fabrication. This paper presents the fabrication of bevel gear for an automotive application using FDM technology. This article aims to develop a sustainable automotive prototype component through FDM-based AM process with optimised process parameters. In this study, build time (BT), energy consumption (EC), and support material consumption (SMC) have been optimised for the FDM process. Four input parameters with two levels have been investigated for the automotive component manufactured using FDM process. For optimisation, Taguchi L<SUB align="right"><SMALL>16</SMALL></SUB> orthogonal array has been done, and ANOVA statistical tool was used to find significant factors and contribution percentage. Complex proportional assessment (COPRAS)-based MCDM methodology was used to find the best experimental run. Technique for order preference by similarity to ideal solution (TOPSIS) was used to validate the results. Journal: Int. J. of Process Management and Benchmarking Pages: 357-383 Issue: 3 Volume: 13 Year: 2023 Keywords: fused deposition modelling; FDM; additive manufacturing; multicriteria decision making; MCDM; Taguchi method; TOPSIS; complex proportional assessment; COPRAS; energy consumption; FDM; optimisation; build time; material consumption. File-URL: http://www.inderscience.com/link.php?id=129611 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:3:p:357-383 Template-Type: ReDIF-Article 1.0 Author-Name: Dheeraj Nimawat Author-X-Name-First: Dheeraj Author-X-Name-Last: Nimawat Author-Name: B.D. Gidwani Author-X-Name-First: B.D. Author-X-Name-Last: Gidwani Title: Efficient response by manufacturing industries towards core technologies, benefits, current status and barriers to implementing Industry 4.0 concept Abstract: In the manufacturing sector, the Industry 4.0 concept is viewed as the contemporary avenue. Industry 4.0 is the latest innovation in an organisation's mechanisation and information exchange capabilities. Fortunately, very few understand how industries, particularly in emerging economies, view the positive impact of Industry 4.0 core technologies on improving industrial efficiency. The study's analysis approach was examined by employing the questionnaire as a data collection instrument by surveying and interviewing experts from 175 Indian manufacturing industries. This survey examines the level of execution of Industry 4.0's core technologies and the level of readiness of manufacturing industries. It also rates barriers towards Industry 4.0 implementation and benefits gained through implementing Industry 4.0 by the Indian manufacturing sector. The survey's preeminent purpose is to examine the level of execution and awareness of Industry 4.0 in Indian manufacturing industries, the evolution of effective approaches, relevant individuals, and alertness. This research serves as unique inception for executives/stakeholders to grasp the Industry 4.0 concept and highlight the key barriers, core technologies, readiness, and benefits of Industry 4.0 implementation. Journal: Int. J. of Process Management and Benchmarking Pages: 423-448 Issue: 3 Volume: 13 Year: 2023 Keywords: advanced manufacturing technologies; fourth industrial revolution; readiness; challenges; augmented reality; big data and analytics; manufacturing industries; developing countries. File-URL: http://www.inderscience.com/link.php?id=129615 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:3:p:423-448 Template-Type: ReDIF-Article 1.0 Author-Name: Simranjit Singh Sidhu Author-X-Name-First: Simranjit Singh Author-X-Name-Last: Sidhu Author-Name: Kanwarpreet Singh Author-X-Name-First: Kanwarpreet Author-X-Name-Last: Singh Author-Name: Inderpreet Singh Ahuja Author-X-Name-First: Inderpreet Singh Author-X-Name-Last: Ahuja Title: The strategic framework of a three-phase implementation model for maintenance practices in Indian small and medium enterprises Abstract: Maintenance practices have emerged as key enablers for manufacturing industries to realise competitive advantage in the global competitive marketplace. The present study presents a phase-by-phase maintenance implementation methodology for all relevant maintenance practices in the Indian small and medium enterprises (SMEs) for achieving sustainability. Options field methodology (OFM), options profile methodology (OPM), analytic hierarchy process (AHP), and fuzzy set theory (FST) have been deployed in strategic modelling for development if this integrated maintenance framework. After performing survey, several input maintenance practices and output measures related attributed have been enumerated. Business performance-related challenges have been turned into options, which are then divided into six clusters using OFM. Maintenance practices implementation dimensions concerns have been translated by OPM into eight profiles or courses of action. AHP methodology has been deployed to compute the weights of different profiles created by OPM. Finally, FST technique is used to rank clusters generated using OFM approaches. Journal: Int. J. of Process Management and Benchmarking Pages: 1-24 Issue: 1 Volume: 15 Year: 2023 Keywords: performance parameter; options field methodology; OFM; options profile methodology; OPM; analytic hierarchy process; AHP; fuzzy set theory; FST; small and medium enterprises; SMEs. File-URL: http://www.inderscience.com/link.php?id=132690 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:15:y:2023:i:1:p:1-24 Template-Type: ReDIF-Article 1.0 Author-Name: Rossana Flores Author-X-Name-First: Rossana Author-X-Name-Last: Flores Author-Name: Eileen Lazaro Author-X-Name-First: Eileen Author-X-Name-Last: Lazaro Author-Name: Edgar Ramos Author-X-Name-First: Edgar Author-X-Name-Last: Ramos Author-Name: Phillip S. Coles Author-X-Name-First: Phillip S. Author-X-Name-Last: Coles Title: Demand management process assessment in food supply chains: an empirical study in coffee supply chains from Peru Abstract: High demand management uncertainty and price volatility, food spoilage and other wastes affect operational performance across the food supply chain. The demand management process of the food supply chain can drive improved sourcing and demand fulfilment, minimising the effects of demand variability and meet customer demand. This research creates an evaluation tool based on a literature review of the main processes of demand management in the supply chain. This study evaluates aspects of three principal Peruvian production centres. Data was obtained from farmers, cooperatives, associations, suppliers, intermediaries, and exporters. The results show none of them has yet managed to cover all relevant aspects of demand management, that is, there are still strategic and operational areas in need of further development. Furthermore, with input of experts, we provide a greater understanding of the coffee industry, and other agribusiness sectors of other emerging market economies. Journal: Int. J. of Process Management and Benchmarking Pages: 261-283 Issue: 2 Volume: 14 Year: 2023 Keywords: demand management; supply chain; process assessment; food supply chain; coffee. File-URL: http://www.inderscience.com/link.php?id=130920 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:2:p:261-283 Template-Type: ReDIF-Article 1.0 Author-Name: Jasvinder Singh Author-X-Name-First: Jasvinder Author-X-Name-Last: Singh Author-Name: Chandan Deep Singh Author-X-Name-First: Chandan Deep Author-X-Name-Last: Singh Author-Name: Dharmpal Deepak Author-X-Name-First: Dharmpal Author-X-Name-Last: Deepak Title: Fuzzy MCDM approach for evaluating the drivers for green manufacturing implementation in Indian manufacturing industries Abstract: Environment friendly and green products are built on the foundation of green manufacturing companies. When it comes to adopting and enforcing renewable manufacturing standards through SMEs, most manufacturing industries face a variety of challenges. The regeneration of manufacturing processes and the implementation of environmentally friendly operations in the industrial sector are both examples of green technology. A number of studies have been undertaken in this area of green manufacturing, and researchers have recommended various elements that affect the manufacturing process; however, no studies exist that show how and in what order these elements must be adopted by manufacturing organisations. This study is unique in that it identifies the factors with the help of MCDM approach's that drive green manufacturing and suggests the steps that manufacturing companies should take to become green manufacturing organisations and, as a result, will be capable for producing green and environment friendly products. Journal: Int. J. of Process Management and Benchmarking Pages: 245-260 Issue: 2 Volume: 14 Year: 2023 Keywords: green manufacturing; GM; SME; multi-criteria decision-making; MCDM; fuzzy AHP; fuzzy TOPSIS. File-URL: http://www.inderscience.com/link.php?id=130921 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:2:p:245-260 Template-Type: ReDIF-Article 1.0 Author-Name: Rajiv Sanchez Author-X-Name-First: Rajiv Author-X-Name-Last: Sanchez Author-Name: Bryan Reyes Author-X-Name-First: Bryan Author-X-Name-Last: Reyes Author-Name: Edgar Ramos Author-X-Name-First: Edgar Author-X-Name-Last: Ramos Author-Name: Phillip S. Coles Author-X-Name-First: Phillip S. Author-X-Name-Last: Coles Title: Supplier relationship management process assessment in food supply chains: an empirical study in coffee supply chains from Peru Abstract: Supplier relationship management (SRM) best practices can improve supply chain performance and create competitive advantages by increasing customer value. The SRM process in food supply chains (FSC) enable closer customer relationships, promote trust and avoid potential problems, and enhance cooperation and problem solving, but SRM process studies in FSCs have been limited. The purpose of this paper is to measure and evaluate the SRM process in FSCs. Through a literature review and inputs from practitioners, the SRM process at three Peruvian coffee centres were evaluated. The results show that in order to successfully improve the SRM processes changes must be implemented. This paper contributes to better understanding of the SRM process within the Peruvian coffee supply chain. Journal: Int. J. of Process Management and Benchmarking Pages: 218-244 Issue: 2 Volume: 14 Year: 2023 Keywords: supplier relationship management; SRM; supply chain; process assessment; food supply chain; FSC; coffee. File-URL: http://www.inderscience.com/link.php?id=130924 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:2:p:218-244 Template-Type: ReDIF-Article 1.0 Author-Name: Marek Szelągowski Author-X-Name-First: Marek Author-X-Name-Last: Szelągowski Author-Name: Justyna Berniak-Woźny Author-X-Name-First: Justyna Author-X-Name-Last: Berniak-Woźny Title: The impact of hyperautomation on business processes in SMEs Abstract: An in-depth understanding of the nature of business processes becomes ever more critical as organisations worldwide enter the Industry 4.0 and may achieve a new level of competitiveness and efficiency through hyperautomation. The aim of the article is to present a theoretical reflection on this topic and case studies to eliminate the cognitive gap observed in this area. The authors present the current knowledge on the challenges faced by business process management in the era of hyperautomation, especially from the perspective of small and medium-sized enterprises (SMEs). They discuss theoretical aspects and, in the form of two case studies, present how hyperautomation reduces traditional business processes to tasks performed mainly automatically and increases the importance of dynamic business processes (BPs), which are difficult to copy as a source of competitive advantages. This is especially important in the case of SMEs, which usually do not use their size (effect of scale) as a competitive advantage, but rather, their knowledge, speed of adaptation, or flexibility of action. Journal: Int. J. of Process Management and Benchmarking Pages: 384-400 Issue: 3 Volume: 13 Year: 2023 Keywords: business process management; BPM; business process nature; Industry 4.0; hyperautomation; small and medium enterprises; SMEs; illustrative case study. File-URL: http://www.inderscience.com/link.php?id=129646 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:3:p:384-400 Template-Type: ReDIF-Article 1.0 Author-Name: Munish Pal Singh Author-X-Name-First: Munish Pal Author-X-Name-Last: Singh Author-Name: Satyendra Kumar Sharma Author-X-Name-First: Satyendra Kumar Author-X-Name-Last: Sharma Author-Name: Udayan Chanda Author-X-Name-First: Udayan Author-X-Name-Last: Chanda Title: Measuring service quality in Indian automobile aftersales: AutoIND scale Abstract: The purpose of this paper is to examine the existing service quality measurement scales in the literature on automobile after-sales service. It seeks to develop and validate a service quality measurement scale for Indian passenger car industry's after-sales segment, thereby enhancing service quality (SQ) and customer satisfaction. The study's research design consists of a combination of literature review, exploratory interview and a questionnaire survey conducted through interviews. This paper develops a pilot SQ measurement scale to assess SQ in the Indian passenger car industry's after-sales segment. Apart from the five SERVQUAL dimensions in the extant literature, two new dimensions of service failure and service recovery have been identified and included in the scale developed to address the specific features of the Indian automobile industry. The scale developed in this research will provide a framework towards the development of a measurement scale for after sales services in auto industry. Journal: Int. J. of Process Management and Benchmarking Pages: 401-422 Issue: 3 Volume: 13 Year: 2023 Keywords: service quality; customer satisfaction; service failure; service recovery. File-URL: http://www.inderscience.com/link.php?id=129652 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:3:p:401-422 Template-Type: ReDIF-Article 1.0 Author-Name: Bikash Ranjan Moharana Author-X-Name-First: Bikash Ranjan Author-X-Name-Last: Moharana Author-Name: Kasinath Das Mohapatra Author-X-Name-First: Kasinath Das Author-X-Name-Last: Mohapatra Author-Name: Kamalakanta Muduli Author-X-Name-First: Kamalakanta Author-X-Name-Last: Muduli Author-Name: Dillip Kumar Biswal Author-X-Name-First: Dillip Kumar Author-X-Name-Last: Biswal Author-Name: Tapas Kumar Moharana Author-X-Name-First: Tapas Kumar Author-X-Name-Last: Moharana Title: Multi-response optimisation of machining parameters in WEDM using hybrid desirability-based TOPSIS concept Abstract: The present study is aimed to find the optimum parameters combination, which influences the wire electrode discharge machining (WEDM) process during machining through the use of a hybrid optimisation technique, desirability-based technique for order of preference by similarity to ideal solution (TOPSIS). It is a new, fast and relatively simple method used for the optimisation of material removal rate (MRR) and kerf-width simultaneously. The results recorded a 13.78% of overall improvement in the machining performance, which may use as a benchmarking for this process. The R<SUP align="right"><SMALL>2</SMALL></SUP> and adj. R<SUP align="right"><SMALL>2</SMALL></SUP> values obtained from the analysis of variance (ANOVA) i.e., 87.74% and 80.07% respectively concludes the greatest adequacy of the model. Microstructural analysis of wire electrode shows that the formation of few cracks due to interaction of the sparks and the ultrasonic vibrational waves during the high-speed movement of wire electrode, resulting in improved circulation of the dielectric medium, thereby speeding up the ejection of the melted material from the workpiece. Journal: Int. J. of Process Management and Benchmarking Pages: 439-459 Issue: 4 Volume: 14 Year: 2023 Keywords: wire-EDM; material removal rate; MRR; kerf-width; analysis of variance; ANOVA; desirability-based TOPSIS. File-URL: http://www.inderscience.com/link.php?id=132214 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:4:p:439-459 Template-Type: ReDIF-Article 1.0 Author-Name: Jeyaraju Jayaprakash Author-X-Name-First: Jeyaraju Author-X-Name-Last: Jayaprakash Author-Name: E. Madhavan Pillai Author-X-Name-First: E. Madhavan Author-X-Name-Last: Pillai Author-Name: Vikrant Sharma Author-X-Name-First: Vikrant Author-X-Name-Last: Sharma Author-Name: Mukesh Kumar Author-X-Name-First: Mukesh Author-X-Name-Last: Kumar Title: Implementation framework for cellular manufacturing system using BWM multi-criteria decision making Abstract: Manufacturing industries are enhancing their production and supply chain in today's competitive market environment using the new manufacturing technology and system. The cellular manufacturing system (CMS) has been proven to be the most suitable technology for batch manufacturing organisations to enhance operational performance. The present study aims to rank the significant factor relevant to CMS implementation. Four dimensions and 17 CM factors validated by industry experts were identified based on a literature review. Then, in evaluating factors, the best worst method (BWM) is proposed. Using sensitivity analysis, the results are validated. The proposed model provides a simple and easy way for companies to deal with CMS effectively. The respondent managers found an essential factor to be employee training. The strength of the current study is that it is one of the first few to be carried out to analyse CM implementation factors. Journal: Int. J. of Process Management and Benchmarking Pages: 508-529 Issue: 4 Volume: 14 Year: 2023 Keywords: cellular manufacturing system; CMS; best worst method; BWM; critical factor. File-URL: http://www.inderscience.com/link.php?id=132215 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:4:p:508-529 Template-Type: ReDIF-Article 1.0 Author-Name: Manojit Das Author-X-Name-First: Manojit Author-X-Name-Last: Das Author-Name: Soumya Ranjan Parimanik Author-X-Name-First: Soumya Ranjan Author-X-Name-Last: Parimanik Author-Name: Trupti Ranjan Mahapatra Author-X-Name-First: Trupti Ranjan Author-X-Name-Last: Mahapatra Author-Name: Debadutta Mishra Author-X-Name-First: Debadutta Author-X-Name-Last: Mishra Title: Effect of graphene reinforcement on the mechanical characteristics and machining performance of aluminium metal matrix composite Abstract: This paper investigates the effect of graphene reinforcement on the mechanical properties and machinability of aluminium metal matrix composite (MMC). The MMCs are synthesised from pure aluminium matrix by reinforcing graphene particles with 0.5 wt. %, 1 wt. %, 2 wt. % and 3 wt. % using stir casting process. The load bearing capacity in compression and the hardness is observed to be improved with graphene reinforcement. The optimisation of multiple performance characteristics [material removal rate (MRR), surface roughness (Ra) and noise] is carried out in turning of graphene-based Al-MMC using polycrystalline diamond (PCD) carbide-insert tool under dry environment and compared with that of the pure aluminium. Cutting speed, feed rate, depth of cut and wt. % of graphene are considered as the controlled parameters. Response surface method (RSM) is used for the design of the experiment and optimisation. The wt. % of graphene reinforcement is found to improving the surface quality and reducing the noise during dry-turning. Journal: Int. J. of Process Management and Benchmarking Pages: 478-507 Issue: 4 Volume: 14 Year: 2023 Keywords: aluminium MMC; graphene; stir casting; dry turning; optimisation; response surface method; RSM. File-URL: http://www.inderscience.com/link.php?id=132216 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:4:p:478-507 Template-Type: ReDIF-Article 1.0 Author-Name: Kunal Sanjiv Rajurkar Author-X-Name-First: Kunal Sanjiv Author-X-Name-Last: Rajurkar Author-Name: Sanket Purushottam Khade Author-X-Name-First: Sanket Purushottam Author-X-Name-Last: Khade Author-Name: Onkar Madhav Sawant Author-X-Name-First: Onkar Madhav Author-X-Name-Last: Sawant Author-Name: Mangesh Pralhad Dobe Author-X-Name-First: Mangesh Pralhad Author-X-Name-Last: Dobe Author-Name: Avinash Gulabrao Kamble Author-X-Name-First: Avinash Gulabrao Author-X-Name-Last: Kamble Title: Selection of fighter aircraft by using multi attributes decision making methods Abstract: Fighter aircraft is one of the fundamental working resources of air force which plays a crucial role in the completion of operations and increasing the strength. Selection of fighter aircraft is one of the big tasks for defence ministry of any country. The quality of aircraft changes with the variation in attributes and a decision-making procedure is needed for selection. In order to make the process of fighter aircraft selection easy and precise, multi criteria decision-making methods can be applied effectively. The selection process is carried by considering specifications of fighter aircraft such as maximum speed, ferry range, maximum payload and acquisition cost. The present work gives the selection procedure for selection of best fighter aircraft using three selected methods viz: using analytical hierarchy process, multi-objective optimisation by ratio analysis method, and Viekriterijumsko Kompromisno Rangiranje, etc. for ranking the aircraft. The rankings of fighter aircraft are compared based on their properties. Thus, the proposed methods help to evaluate and rank the fighter aircrafts. Journal: Int. J. of Process Management and Benchmarking Pages: 460-477 Issue: 4 Volume: 14 Year: 2023 Keywords: fighter aircraft selection; analytical hierarchy process; multi-objective optimisation by ratio analysis method; viekriterijumsko kompromisno rangiranje method. File-URL: http://www.inderscience.com/link.php?id=132217 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:4:p:460-477 Template-Type: ReDIF-Article 1.0 Author-Name: Biswajit Mohapatra Author-X-Name-First: Biswajit Author-X-Name-Last: Mohapatra Author-Name: Adarsh Rajpal Author-X-Name-First: Adarsh Author-X-Name-Last: Rajpal Author-Name: Akash Tarasia Author-X-Name-First: Akash Author-X-Name-Last: Tarasia Author-Name: Deepak Singhal Author-X-Name-First: Deepak Author-X-Name-Last: Singhal Author-Name: Sushanta Tripathy Author-X-Name-First: Sushanta Author-X-Name-Last: Tripathy Title: Role of Industry 4.0 in manufacturing: an exhaustive literature review and future prospects Abstract: Industry 4.0 focuses on connecting the real world with the virtual world in real-time to increase production, boost productivity and increase growth exponentially all the while understanding and controlling every aspect of this production chain. The paper mainly illustrates the current advancements made in Industry 4.0 technologies and the possibility as well as the extent of its improvement in the near future while providing insights into the salient features of Industry 4.0 as well as comprehending and accomplishing the prerequisites of the same. A literature review was conducted systematically by taking into consideration the studies and findings of 222 academic articles. The paper explains most of the idolatry papers from many luminary researchers in the field based on the key components of Industry 4.0 diversely and descriptively along with graphs depicting the popularity of a trend for each key component of Industry 4.0. Journal: Int. J. of Process Management and Benchmarking Pages: 176-217 Issue: 2 Volume: 14 Year: 2023 Keywords: Industry 4.0; manufacturing system; cyber-physical system; CPS. File-URL: http://www.inderscience.com/link.php?id=130937 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:2:p:176-217 Template-Type: ReDIF-Article 1.0 Author-Name: Kamalakanta Muduli Author-X-Name-First: Kamalakanta Author-X-Name-Last: Muduli Author-Name: Shoeb Ahmed Syed Author-X-Name-First: Shoeb Ahmed Author-X-Name-Last: Syed Author-Name: Venkata P. Kommula Author-X-Name-First: Venkata P. Author-X-Name-Last: Kommula Author-Name: Bikash Ranjan Moharana Author-X-Name-First: Bikash Ranjan Author-X-Name-Last: Moharana Author-Name: Bikash Chandra Behera Author-X-Name-First: Bikash Chandra Author-X-Name-Last: Behera Title: Assessment of musculoskeletal disorder in food service industry in emerging economies Abstract: Workers in Papua New Guinea's (PNG) industries, like those in developed and developing countries, suffer from musculoskeletal disorders (MSD). However, in emerging economies like PNG, the issue of work-related musculoskeletal disorders (WMSDs) in industries/factories has gotten little attention. Following a critical inspection at a food service unit in PNG, relevant data was gathered. Knees have a higher MSD risk for all 15 samples that were interviewed, according to evaluation data based on Cornell questionnaires. According to full body analysis data, body parts below the hip have a higher MSD score for both male and females, while the right knee has a higher MSD score for females. According to the P-chart analysis, 26.67% of the 15 workers have a higher MSD prevalence, while 73.33% have a lower MSD prevalence. Males, on the other hand, had a higher risk of MSDs than females, according to the findings. Journal: Int. J. of Process Management and Benchmarking Pages: 558-580 Issue: 4 Volume: 14 Year: 2023 Keywords: musculoskeletal disorder; MSD; food catering units; rapid upper limb assessment; RULA; rapid office self-assessment; ROSA; workplace safety; risk assessment. File-URL: http://www.inderscience.com/link.php?id=132221 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:4:p:558-580 Template-Type: ReDIF-Article 1.0 Author-Name: Jasvinder Singh Author-X-Name-First: Jasvinder Author-X-Name-Last: Singh Author-Name: Chandan Deep Singh Author-X-Name-First: Chandan Deep Author-X-Name-Last: Singh Author-Name: Dharmpal Deepak Author-X-Name-First: Dharmpal Author-X-Name-Last: Deepak Title: Evaluation of effective parameters for green manufacturing implementation: case studies in an Indian manufacturing industries Abstract: The industrial development is having an increasingly negative impact on the natural environment, such as global warming. Green manufacturing systems, which aim to reduce the environmental impact of manufacturing processes and products, are becoming extremely important as we look to the future. Therefore, these case studies aim to find the effectiveness of green manufacturing (GM) parameters in 'Indian manufacturing industries'. For the same purpose, two manufacturing industries visited to collect the information of various strategies implemented by them with in their manufacturing units and accordingly the results, i.e., in the form of overall manufacturing performance, investment cost for implementation, etc. has been studied. Journal: Int. J. of Process Management and Benchmarking Pages: 530-543 Issue: 4 Volume: 14 Year: 2023 Keywords: green manufacturing; GM; Ministry of Environment and Forests; MOEF; multi-criteria decision-making; MCDM; critical success factors; CSFs. File-URL: http://www.inderscience.com/link.php?id=132225 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:4:p:530-543 Template-Type: ReDIF-Article 1.0 Author-Name: Arash Apornak Author-X-Name-First: Arash Author-X-Name-Last: Apornak Author-Name: Sadigh Raissi Author-X-Name-First: Sadigh Author-X-Name-Last: Raissi Author-Name: Abbas Keramati Author-X-Name-First: Abbas Author-X-Name-Last: Keramati Author-Name: Kaveh Khalili-Damghani Author-X-Name-First: Kaveh Author-X-Name-Last: Khalili-Damghani Title: Modelling new service development using Kano, QFD and mathematical programming in an emergency department healthcare unit Abstract: Today, service quality provided to patients is one of the most important criteria for obtaining patient satisfaction in medical and healthcare centres. A review of the work done in the field of quality improvement in healthcare centres shows the attention of researchers to provide quality in healthcare centres. In our research, we first identified the needs of patients, which was determined using a standard questionnaire, then using the Kano model and its evaluation table to classify the needs of patients into three categories: functional, basic and exciting, so by using QFD tool and goal programming, we examined the current situation of the hospital and compared it with other competitors and identified the elements that are considered as high priority. This method helps us to examine our position as a service unit in front of patients and in comparison with competitors, as well as the extent of our success in achieving the goal with little data. Therefore, during the process of technical language and operationalisation of these parameters, we have a safe way to improve patient satisfaction. Journal: Int. J. of Process Management and Benchmarking Pages: 1-18 Issue: 1 Volume: 13 Year: 2023 Keywords: quality function deployment; QFD; Kano model; goal programming model; new service development; emergency department healthcare. File-URL: http://www.inderscience.com/link.php?id=127879 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:1:p:1-18 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Reza Sadeghi Moghaddam Author-X-Name-First: Mohammad Reza Sadeghi Author-X-Name-Last: Moghaddam Author-Name: Ali Safari Author-X-Name-First: Ali Author-X-Name-Last: Safari Author-Name: Hossein Safari Author-X-Name-First: Hossein Author-X-Name-Last: Safari Author-Name: Taha Mansouri Author-X-Name-First: Taha Author-X-Name-Last: Mansouri Title: Scenario building and measurement of the business process maturity using fuzzy cognitive mapping technique: a case study in SAIPA company Abstract: One of the current concerns of managers is to develop the business process maturity and identify the conditions for improving the pertaining processes. This eventuates in increased customers, reduced costs along with mechanised business processes. In this regard, this paper unveils a two-stage approach to develop the maturity of business process management exploiting the fuzzy cognitive mapping technique. In the first stage, a systematic review of the relevant literature is carried out. The output of this stage encompasses the maturity levels, factors and indicators of the concerned business process model. Applying the fuzzy cognitive mapping technique, the second stage obtains macro causes and effects, in which, the dimensions of maturity and related relationships are identified to render the possibility of scenario building for the development of business process maturity. In a bid to validate and verify the proposed approach, a real case study is conducted, via which important insights are derived. Journal: Int. J. of Process Management and Benchmarking Pages: 19-46 Issue: 1 Volume: 13 Year: 2023 Keywords: business process maturity model; fuzzy cognitive map; scenario planning. File-URL: http://www.inderscience.com/link.php?id=127881 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:1:p:19-46 Template-Type: ReDIF-Article 1.0 Author-Name: Panasin Chungsawanant Author-X-Name-First: Panasin Author-X-Name-Last: Chungsawanant Author-Name: Parames Chutima Author-X-Name-First: Parames Author-X-Name-Last: Chutima Author-Name: Chaipong Pongpanich Author-X-Name-First: Chaipong Author-X-Name-Last: Pongpanich Title: Multi-criteria decision making and project portfolio management for transport infrastructure investment in Thailand Abstract: Transport project selection is always critical in government planning due to limited resources and diverse demands. Project portfolio management (PPM) was proposed in this study to suggest an optimal set of projects under predetermined constraints. With multiple conflicting criteria, comprehensive steps of multi-criteria decision making (MCDM) procedures were proposed in this study. The process begins with a step of pre-screening the projects and selecting the criteria for project evaluation. Sequential steps of: 1) weight determination process using the proportion method; 2) MCDM process using preference ranking organisation method for enrichment evaluations (PROMETHEE) II; 3) constraint consideration process using PROMETHEE V, was proposed to evaluate and select an optimal project portfolio. The study showed that decision making could be successfully done for the transport infrastructure investment with minimal complex calculation steps and questionnaire input from experts. Journal: Int. J. of Process Management and Benchmarking Pages: 47-72 Issue: 1 Volume: 13 Year: 2023 Keywords: decision making; multi-criteria decision making; MCDM; portfolio management; proportion method; Thailand; transport infrastructure; transport project evaluation; PROMETHEE. File-URL: http://www.inderscience.com/link.php?id=127882 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:1:p:47-72 Template-Type: ReDIF-Article 1.0 Author-Name: S. Giridar Author-X-Name-First: S. Author-X-Name-Last: Giridar Author-Name: P.G. Saleeshya Author-X-Name-First: P.G. Author-X-Name-Last: Saleeshya Author-Name: Sasi K. Kottayil Author-X-Name-First: Sasi K. Author-X-Name-Last: Kottayil Title: Energy conservation through lean initiative in a manufacturing company: a case study Abstract: Energy conservation is a significant concept due to global concern on climate change. Manufacturing sector is the major consumer of energy from overall electricity generation. The concept of lean manufacturing having its prime motive to eliminate non-value added wastes has a wide window of opportunity to save the energy. This paper is an outcome of a case study conducted in a solar water heater manufacturing industry in South India. This study combines the lean manufacturing and energy auditing techniques to assess the efficiency of the manufacturer. We implemented the concept of 5S and value stream mapping which reveal several non-value added activities present in the production system. Then the concept of Takt time is introduced to keep the company efficient to meet their demand. The backorders present in the system is addressed by introducing forecasting models. We have generated an optimum production mix through 'Heijunka' concept to obtain a levelled production schedule. The concept of leanness was also introduced in auditing the energy consumption of machineries present in the system, which was a novel attempt of applying lean concepts in electrical energy conservation. Journal: Int. J. of Process Management and Benchmarking Pages: 73-95 Issue: 1 Volume: 13 Year: 2023 Keywords: energy value stream mapping; EVSM; lean energy; lean energy management. File-URL: http://www.inderscience.com/link.php?id=127883 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:1:p:73-95 Template-Type: ReDIF-Article 1.0 Author-Name: Vikrant Sharma Author-X-Name-First: Vikrant Author-X-Name-Last: Sharma Title: A principal component analysis for barriers to cellular manufacturing system implementation in manufacturing industries Abstract: This paper seeks to recognise potential barriers affecting cellular manufacturing (CM) implementation in the Indian industry. First, nine barriers were identified based on an excessive and comprehensive review of the literature. Following that, an empirical survey of 42 Indian companies was conducted using a structured questionnaire. The principal component analysis (PCA) was used to analyse the data and find the most effective barriers to providing a practical solution. The study proposes three constructs: 'skill and design barrier', 'psychological and contextual barrier', and 'managerial barrier'. This is the first study of its kind in the Indian context, capturing professionals' perspectives from organisations implementing CM and the proposed conceptual framework. The paper's findings will help draw up a roadmap to identify and exterminate barriers to CM implementation. Journal: Int. J. of Process Management and Benchmarking Pages: 544-557 Issue: 4 Volume: 14 Year: 2023 Keywords: cellular manufacturing; barriers; principal component analysis; PCA; manufacturing industries; theoretical framework. File-URL: http://www.inderscience.com/link.php?id=132237 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:4:p:544-557 Template-Type: ReDIF-Article 1.0 Author-Name: Razieh Aghaei Author-X-Name-First: Razieh Author-X-Name-Last: Aghaei Author-Name: Dariush Mohamadi Author-X-Name-First: Dariush Author-X-Name-Last: Mohamadi Author-Name: Arash Shahin Author-X-Name-First: Arash Author-X-Name-Last: Shahin Title: Clustering and identifying the Lean Six Sigma projects: higher education institutes Abstract: Lean Six Sigma (LSS) is an effective quality improvement program. The deployment of LSS in organisations is done with significant investment as it has many benefits. As to higher education institutes (HEIs), this system has not been applied in the manner it should be. Identifying an appropriate project requires a precise analysis of the data to make all the selected projects in line with the organisation strategy objectives, and with the least uncertainty rate in implementation. Actually, the concern is not merely the application of LSS, but also the successful implementation of the best improving project. In this study, 133 main processes were identified in the determined four zones of the University of Isfahan, and assessed using the five Lean Six Sigma indicators clustered in SPSS Clementine 12.0 S/W based on the viewpoints of the managers and professionals of the zones. 19 out of 133 processes were found critical, with higher priorities in defining the Lean Six Sigma projects. While clustering is an appropriate approach for the identification of higher education institutes, it is not possible through the common methods. Based on the evaluation of the involved managers and professionals, the proposed approach is efficient, practical, and dynamic. Journal: Int. J. of Process Management and Benchmarking Pages: 145-156 Issue: 1 Volume: 13 Year: 2023 Keywords: Lean Six Sigma; LSS; higher education institutes; HEIs; identifying the LSS projects; clustering. File-URL: http://www.inderscience.com/link.php?id=127888 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:1:p:145-156 Template-Type: ReDIF-Article 1.0 Author-Name: Katelyn Thompson Author-X-Name-First: Katelyn Author-X-Name-Last: Thompson Author-Name: Johnathan Munn Author-X-Name-First: Johnathan Author-X-Name-Last: Munn Author-Name: Hari K. Rajagopalan Author-X-Name-First: Hari K. Author-X-Name-Last: Rajagopalan Title: Impact of COVID-19 on forecasting and aggregate production planning: a case study Abstract: Forecasting and aggregate production planning (APP) are interrelated. Forecasting is used to estimate demand. Aggregate production planning uses the demand forecast to balance capacity requirements and production quantities for medium-term planning horizons. These plans provide input for further planning steps. In 2020, COVID-19 disrupted the forecast and required a re-evaluation of the production plans for the rest of the year. This paper presents a case study investigating the impact of COVID-19 on the Aggregate Production Plan for Sonoco's Rigid Paper and Closures Division plant in the southern United States. The forecast for 2020 was developed using demand data from 2014-2019. The aggregate production plan was developed using linear programming formulation. Multiple scenarios were constructed with managerial implications on decisions made for 2020. Journal: Int. J. of Process Management and Benchmarking Pages: 155-175 Issue: 2 Volume: 14 Year: 2023 Keywords: time series forecasting; aggregate production planning; APP; decision support systems. File-URL: http://www.inderscience.com/link.php?id=130960 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:2:p:155-175 Template-Type: ReDIF-Article 1.0 Author-Name: Harsimran Singh Sodhi Author-X-Name-First: Harsimran Singh Author-X-Name-Last: Sodhi Title: An investigation towards identifying and analysing the failure factors for the implementation of scrap reduction techniques in Indian SMEs Abstract: Manufacturing organisations are implementing a number of scrap reduction (SR) techniques in their organisations for the purpose of making improvements in the processes. Some of such techniques are lean manufacturing, Six Sigma, Lean Six Sigma, total quality management, etc. In many cases the implementation of SR technique is found successful, whereas at the same time in many cases it found to be a failure one as well. There are a certain number of factors which are found to be responsible for the failure of SR. Present study concentrates towards the identification of critical failure factors contributing towards the failure of implementation of SR techniques in the manufacturing organisations. Total failure mode and effects analysis (TFMEA) and FMEA has also been done on the identified critical failure factors of SR techniques. Journal: Int. J. of Process Management and Benchmarking Pages: 139-154 Issue: 2 Volume: 14 Year: 2023 Keywords: scrap reduction techniques; Six Sigma; lean manufacturing; Lean Six Sigma; critical failure factors. File-URL: http://www.inderscience.com/link.php?id=130961 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:2:p:139-154 Template-Type: ReDIF-Article 1.0 Author-Name: Vineet Jain Author-X-Name-First: Vineet Author-X-Name-Last: Jain Author-Name: Puneeta Ajmera Author-X-Name-First: Puneeta Author-X-Name-Last: Ajmera Author-Name: Mohammed Suhaib Author-X-Name-First: Mohammed Author-X-Name-Last: Suhaib Title: Modelling the factors affecting the QoWL in the employees of manufacturing organisations in India using ISM approach Abstract: Quality of work life (QoWL) is a key aspect for workers to contribute both for their personal well-being and for their organisation's growth and sustainability. Literature indicates an urgent need for an optimised model that can anticipate linkages among the elements impacting QoWL. The aim of present study is to identify the key factors that affect the sensitivities of employees of the manufacturing sector regarding the quality of work-life. The factors that influence the QoWL have been analysed by ISM 'interpretive structural modelling' methodology. Driving and dependence power of factors is analysed by MICMAC analysis. The outcome reveals that fair and impartial compensation policy, welfare services and facilities in the organisation and safe and healthy working conditions are high-level factors. A comprehensive model of the relationship between these factors has been established in this research so that the QoWL of these employees can be improved. By enhancing working conditions and the culture, an organisation may improve its employees' quality of life and loyalty. Furthermore the employers will be benefitted more as efficient and effective production will lead to enormous outputs which would invariably impact on the profits of the organisation and make it an eternally sustainable venture. Journal: Int. J. of Process Management and Benchmarking Pages: 1-22 Issue: 1 Volume: 14 Year: 2023 Keywords: quality of work life; QoWL; interpretive structural modelling; ISM; MICMAC analysis; manufacturing organisations; India. File-URL: http://www.inderscience.com/link.php?id=130450 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:1:p:1-22 Template-Type: ReDIF-Article 1.0 Author-Name: S.V. Singh Padiyar Author-X-Name-First: S.V. Singh Author-X-Name-Last: Padiyar Author-Name: Naveen Bhagat Author-X-Name-First: Naveen Author-X-Name-Last: Bhagat Author-Name: S.R. Singh Author-X-Name-First: S.R. Author-X-Name-Last: Singh Author-Name: Neha Punetha Author-X-Name-First: Neha Author-X-Name-Last: Punetha Title: Multi echelon fuzzy inventory model for perishable items in a supply chain with imperfect production and exponential demand rate Abstract: In this paper, an integrated inventory model for perishable item is developed from the supplier, manufacturer and buyer's point of view. Generally, the value of perishable items is determined by its quality. Demand is a major factor in supply chain system and it may increase due to consumer's preference. In reality, it is seen that demand and production of perishable item is almost uncertain because at the time of production, there are possibilities of being imperfect production. So the parameters that are affecting the quantity of demand and production rate are taken as triangular fuzzy numbers. Three different methods are used to defuzzify the total profit function. This model has been accomplished with the different rate of deterioration for raw material and finished goods. The change in deterioration rate of finished goods leads to continuous increase in total profit and cycle time, and the change in deterioration rate for raw material leads to gradual decrease in total profit as well as cycle time. The setup has been detected numerically to obtain an optimal solution and also the sensitivity analysis is performed. Journal: Int. J. of Process Management and Benchmarking Pages: 23-51 Issue: 1 Volume: 14 Year: 2023 Keywords: supply chain; perishable item; deterioration; exponential demand rate; imperfect production; triangular fuzzy number; TFN. File-URL: http://www.inderscience.com/link.php?id=130451 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:1:p:23-51 Template-Type: ReDIF-Article 1.0 Author-Name: Harsimran Singh Sodhi Author-X-Name-First: Harsimran Singh Author-X-Name-Last: Sodhi Title: A study to identifying the motivational factors for Lean Six Sigma implementation in Indian SMEs Abstract: To remain competitive, organisations prefer the implementation of some of the effective waste management techniques for the purpose of increasing their profits. Lean Six Sigma is one of the most effective techniques identified for the purpose of waste reduction. In the present study the various motivational factors for the implementation of Lean Six Sigma has been identified and further a questionnaire on the licker scale of five has been floated among various manufacturing SMEs throughout India. The collected responses are further gathered in a compiled data sheet and further the analysis on the gathered data has been done. Mean values of the available data are calculated on the basis of which box plots, Interval plots and histogram plots were plotted by using Minitab software. Journal: Int. J. of Process Management and Benchmarking Pages: 125-138 Issue: 1 Volume: 14 Year: 2023 Keywords: Lean Six Sigma; histogram plot; interval plots. File-URL: http://www.inderscience.com/link.php?id=130452 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:1:p:125-138 Template-Type: ReDIF-Article 1.0 Author-Name: Denis Syromyatnikov Author-X-Name-First: Denis Author-X-Name-Last: Syromyatnikov Author-Name: Tatyana Sakulyeva Author-X-Name-First: Tatyana Author-X-Name-Last: Sakulyeva Author-Name: Marina Ermakova Author-X-Name-First: Marina Author-X-Name-Last: Ermakova Author-Name: Gulmira Samiyeva Author-X-Name-First: Gulmira Author-X-Name-Last: Samiyeva Author-Name: Rodion Rogulin Author-X-Name-First: Rodion Author-X-Name-Last: Rogulin Title: The ways for reducing food losses in supply chains Abstract: The article presents ways to reduce losses in supply chains using agricultural products supplies as a case study. The relevance of the topic under consideration stems from fact that, regardless of the region or the country, food losses can equal more than 30% throughout the supply chain. The study aimed to determine how important are individual components of the logistics infrastructure and information systems for managing food supply chains in developed and emerging markets. It was found that the structure of losses in developed and developing economies differs. The study hypothesis that the improvement of logistics services and supply chain manageability reduces losses in food supply chains was statistically confirmed. Using the example of Russia and Germany, it was revealed that an increase in investments in highly specialised supply chain management software and the advancement of logistics infrastructure are able to reduce losses in food supply chains. Journal: Int. J. of Process Management and Benchmarking Pages: 108-124 Issue: 1 Volume: 14 Year: 2023 Keywords: supply chains; food; SCM software; logistics infrastructure. File-URL: http://www.inderscience.com/link.php?id=130453 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:1:p:108-124 Template-Type: ReDIF-Article 1.0 Author-Name: Marjaneh Alsadat Seyyedrezaei Author-X-Name-First: Marjaneh Alsadat Author-X-Name-Last: Seyyedrezaei Author-Name: Mohsen Alvandi Author-X-Name-First: Mohsen Author-X-Name-Last: Alvandi Title: Improving the manufacturing process using Industry 4.0 tool: a simulation-based approach Abstract: One of the pillars of the progress in the <i>Fourth Industrial Revolution</i> is the use of decision support tools such as simulation. Therefore, this research aims to improve the manufacturing process based on lean solutions through simulating. The authors developed several models by a discrete event simulation approach to analyse the different scenarios and used the ranking method to select the best one. The findings showed that following lean solutions can increase the average throughput by 24.88%, reduce the distance travelled by the parts up to 63% and decrease the lead time by 52%. This research is the first attempt that evaluated the effects of the concurrent use of four lean manufacturing tools on the production process improvement in an auto parts supplier company. The simultaneous use both increases the complexity of simulation models and brings the results very close to reality. So, it gives the article significant value. Journal: Int. J. of Process Management and Benchmarking Pages: 52-83 Issue: 1 Volume: 14 Year: 2023 Keywords: discrete event simulation; DES; process improvement; scenario analysis; decision support tools; Fourth Industrial Revolution; lean principles; AnyLogic Simulator Software; cell production; value stream mapping; VSM; multi-skilled operator. File-URL: http://www.inderscience.com/link.php?id=130454 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:1:p:52-83 Template-Type: ReDIF-Article 1.0 Author-Name: Harsimran Singh Sodhi Author-X-Name-First: Harsimran Singh Author-X-Name-Last: Sodhi Title: A comparative analysis of lean manufacturing, Six Sigma and Lean Six Sigma for their application in manufacturing organisations Abstract: Manufacturing organisations are always on lookout for the best available way to keep control over the scraps and other industrial wastes in order to keep them competitive in the present scenario. Nowadays, there is a matter of discussion among various manufacturing organisations on which waste management technique is better among leading techniques such as lean manufacturing, Six Sigma and Lean Six Sigma. Various experts had recorded their viewpoints in this regard, but still there is confusion in the minds of the practitioners regarding the comparison of these leading techniques. Therefore, in the present study, a systematic comparative analysis of lean manufacturing, Six Sigma and Lean Six Sigma has been presented on various basis such as the history and growth of these techniques, important tools and techniques of these techniques, critical success factors, their areas of implementations, etc.; so that practitioners can identify the basic difference among these techniques and can choose the best available technique for implementation in their manufacturing organisations on the basis of the requirement of the situations. Journal: Int. J. of Process Management and Benchmarking Pages: 127-144 Issue: 1 Volume: 13 Year: 2023 Keywords: quality standards; waste management; lean manufacturing; Six Sigma; Lean Six Sigma. File-URL: http://www.inderscience.com/link.php?id=127902 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:1:p:127-144 Template-Type: ReDIF-Article 1.0 Author-Name: Mandeep Kaur Author-X-Name-First: Mandeep Author-X-Name-Last: Kaur Author-Name: Kanwarpreet Singh Author-X-Name-First: Kanwarpreet Author-X-Name-Last: Singh Author-Name: Doordarshi Singh Author-X-Name-First: Doordarshi Author-X-Name-Last: Singh Title: Strategic framework for successful implementation of synergistic approach SCQM (TQM-SCM) Abstract: Nowadays customers are very concerned about product and service quality, delivery and flexibility. Therefore, emphasis is given to improve the quality, flexibility and timely delivery of products through synergistic implementation of quality principles with supply chain management. However, the majority of the manufacturing firms hesitate to implement all parameters of TQM-SCM simultaneously because of some constraints. Therefore, the aim of this study is to purpose a phase wise approach to successfully implement TQM-SCM. For this, survey of 116 Indian manufacturing organisations has been carried out. Responses of this survey are utilised in identify various options, profiles and weights of multiple regression utilised in OFM, OPM, and FST. Afterwards, Academic experts and industry experts were consulted through specially drafted comparison scale questionnaire to obtain the weights of objectives with the help of AHP. Finally, results of this integrated OFM, OPM, AHP, FST are utilised to propose a strategic framework. Journal: Int. J. of Process Management and Benchmarking Pages: 96-126 Issue: 1 Volume: 13 Year: 2023 Keywords: synergistic approach; a phase wise approach; Indian manufacturing industries; competitive dimensions. File-URL: http://www.inderscience.com/link.php?id=127905 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:1:p:96-126 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Title: Perceived consumer issues associated with online vehicle purchase decisions Abstract: Being an informed buyer has assumed new meaning and companies, especially among especially among empowered supply chain professionals. In examining automobile online purchasing, there were ten significant clusters in creating the independent variable constructs, which were tested against a factor-based dependent variable construct, named new vehicle purchase incentives. These were statistically tested to determine the most important factors that impact a consumer's decision. The exploratory factor analysis and specific hypothesis testing illustrate that the major factors for online vehicle purchases are convenience, purchase agreements, and low-cost bargain searching are key factors for this segment of car buyers. It was found that there were no significant relationships among the various payment plans (i.e., credit or debit cards, direct funds transfer services), type of vehicles interested in (i.e., SUV, crossover, family sedan, mid-size, and compact/economy), and vehicle condition (i.e., new or used); the same was true for most demographics, except for price. Journal: Int. J. of Process Management and Benchmarking Pages: 84-107 Issue: 1 Volume: 14 Year: 2023 Keywords: auto industry; CRM; factor analysis; manufacturing; online vehicle purchases; supply chain; uses and gratification theory. File-URL: http://www.inderscience.com/link.php?id=130487 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:1:p:84-107 Template-Type: ReDIF-Article 1.0 Author-Name: Silva Karkoulian Author-X-Name-First: Silva Author-X-Name-Last: Karkoulian Author-Name: Kevin Sevag Kertechian Author-X-Name-First: Kevin Sevag Author-X-Name-Last: Kertechian Author-Name: Puzant Balozian Author-X-Name-First: Puzant Author-X-Name-Last: Balozian Author-Name: Matthieu Boulos Nahed Author-X-Name-First: Matthieu Boulos Author-X-Name-Last: Nahed Title: Employee voice as a mediator between leader-member exchange and creative performance: empirical evidence from the Middle East Abstract: This paper examines leader-member exchange (LMX), employee voice, and creative performance (CP) to investigate if the relationships between them still hold true in an international crisis. We collected 301 surveys from employees within the banking sector in Lebanon whose participation was voluntary and anonymous. We used structural equation modelling to analyse the collected data. The results indicate that voice is a full mediator between LMX and CP. Furthermore, in the mediation model, the relationship between LMX and CP becomes negative, indicating the existence of competitive mediation, which is a result not found in pre-pandemic times. Competitive mediation indicates that other factors are essential to employee performance during a pandemic. There is a need for something more than just a healthy LMX and employee voice, such as providing extra resources and training support for remote work and securing a healthy mental and emotional work environment. Journal: Int. J. of Process Management and Benchmarking Pages: 311-328 Issue: 3 Volume: 14 Year: 2023 Keywords: leader-member exchange; LMX; employee voice; creative performance; banking sector; Lebanon; COVID-19. File-URL: http://www.inderscience.com/link.php?id=131256 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:3:p:311-328 Template-Type: ReDIF-Article 1.0 Author-Name: Maryam Kolyaei Author-X-Name-First: Maryam Author-X-Name-Last: Kolyaei Author-Name: Adel Azar Author-X-Name-First: Adel Author-X-Name-Last: Azar Author-Name: Ali Rajabzadeh Ghatari Author-X-Name-First: Ali Rajabzadeh Author-X-Name-Last: Ghatari Title: An integrated robust optimisation approach to closed-loop supply chain network design under uncertainty: the case of the auto glass industry Abstract: In this paper, we propose an integrated model that has two stages. In the first stage, suppliers and subcontractors are evaluated with a fuzzy method based on proposed qualitative set of criteria. The outputs of this stage are utilised as the input of the next stage. In stage two, a multi-objective mixed-integer linear programming model is proposed considering four conflicting objectives. The model is developed using robust programming to investigate the effects of uncertainty in customer demand. The model is able to: 1) select the best suppliers and subcontractors based on established qualitative and quantitative criteria; 2) allocate orders to them; 3) determine the optimal number of parts and products in the network. To motivate the practical aspect of the model in real-world applications, we applied the model to an auto glass company. The results revealed that the model is cost-efficient for CLSC network designs and can control the supply chain uncertainties. Journal: Int. J. of Process Management and Benchmarking Pages: 285-310 Issue: 3 Volume: 14 Year: 2023 Keywords: closed-loop supply chain network; CLSC; supplier and subcontractor selection; robust optimisation; fuzzy approach. File-URL: http://www.inderscience.com/link.php?id=131257 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:3:p:285-310 Template-Type: ReDIF-Article 1.0 Author-Name: Ashraf Alrjoub Author-X-Name-First: Ashraf Author-X-Name-Last: Alrjoub Author-Name: Ashraf Bataineh Author-X-Name-First: Ashraf Author-X-Name-Last: Bataineh Author-Name: Ibrahem Al Bataineh Author-X-Name-First: Ibrahem Al Author-X-Name-Last: Bataineh Title: Impact of knowledge management on accounting information quality in light of electronic publishing at the Jordanian insurance companies Abstract: This study aims to reveal the impact of knowledge management (KM) on the accounting information quality in light of electronic publishing at the Jordanian insurance companies, by implementing three scales: one for KM; one for electronic publishing; and another one for the accounting information quality on a random sample that includes 263 members of company managers, assistant managers, heads of administrative and financial departments, and accountants working at Jordanian insurance companies. Results of the current study showed an impact of the KM dimensions on the accounting information quality, in light of electronic publishing. Therefore, the study recommended scientific and professional bodies the need to develop guidelines and issue proposals to ensure organising the electronic publishing mechanism, and guaranteeing the protection of accounting information published through websites, in order to achieve a reasonable degree of validity and reliability of accounting information. Journal: Int. J. of Process Management and Benchmarking Pages: 356-377 Issue: 3 Volume: 14 Year: 2023 Keywords: accounting information quality; electronic publishing; Jordanian insurance companies; knowledge generation; knowledge management; KM; knowledge transfer; store knowledge. File-URL: http://www.inderscience.com/link.php?id=131258 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:3:p:356-377 Template-Type: ReDIF-Article 1.0 Author-Name: Suraj Kumar Author-X-Name-First: Suraj Author-X-Name-Last: Kumar Author-Name: S. Vinodh Author-X-Name-First: S. Author-X-Name-Last: Vinodh Author-Name: Parthesh Agarwal Author-X-Name-First: Parthesh Author-X-Name-Last: Agarwal Author-Name: Pratyush Kumar Das Author-X-Name-First: Pratyush Kumar Author-X-Name-Last: Das Title: Assessment of fit manufacturing readiness in viewpoint of Industry 4.0 using Grey theory approach: a case study Abstract: Fit manufacturing was developed by combining lean, sustainable and agile manufacturing to tackle budding competition from low-labour cost countries and by considering shifting customer demands. Fit manufacturing also helped industries in making a successful shift towards Industry 4.0 thereby linking four manufacturing themes: strategy, leadership, process and technology. The goal of this study is to assess fit manufacturing readiness in a heavy engineering industry in viewpoint of Industry 4.0 utilising Grey theory approach. This paper presents readiness evaluation of fit manufacturing through 86 sub-dimensions identified from literature review clustered into nine dimensions. Expert inputs are obtained as linguistic terms which are converted into Grey numbers and used to calculate overall Grey performance index (OGPI). Grey performance importance index (GPII) was further calculated to recognise ill-performing areas in the industry. Finally, it was observed that based on readiness level assessment of fit manufacturing, the case industry required further improvements. Journal: Int. J. of Process Management and Benchmarking Pages: 378-399 Issue: 3 Volume: 14 Year: 2023 Keywords: fit manufacturing; Grey theory approach; GTA; heavy engineering industry; Industry 4.0; overall Grey performance index; OGPI; Grey performance importance index; GPII. File-URL: http://www.inderscience.com/link.php?id=131260 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:3:p:378-399 Template-Type: ReDIF-Article 1.0 Author-Name: Saloni Chitkara Author-X-Name-First: Saloni Author-X-Name-Last: Chitkara Author-Name: Saboohi Nasim Author-X-Name-First: Saboohi Author-X-Name-Last: Nasim Author-Name: Susmi Routray Author-X-Name-First: Susmi Author-X-Name-Last: Routray Author-Name: Sunayana Jain Author-X-Name-First: Sunayana Author-X-Name-Last: Jain Title: Prioritising critical success factors of sustainable reverse logistics for e-commerce organisations in India - MCDM approach Abstract: In today's global market, achieving cost leadership and quality assurance are the common concerns for every organisation including e-commerce, but there should be due consideration to reduce the negative effect on the environment. Hence, organisations should focus on sustainable reverse logistics using a triple bottom line approach. This study focuses on identifying and prioritising the critical success factors of sustainable reverse logistics with respect to e-commerce organisations. In the first phase ,a qualitative study was done to identify the critical success factors which enable organisations to attain potential benefits. In the second phase, they were prioritised using an analytical hierarchy process (AHP) approach. Through analysis, economic factors were found to be the most important factors followed by environmental and social factors. The results also provided an insight into the global ranking of all the critical success factors. Journal: Int. J. of Process Management and Benchmarking Pages: 417-437 Issue: 3 Volume: 14 Year: 2023 Keywords: reverse logistics; sustainability; e-commerce; analytical hierarchy process; AHP. File-URL: http://www.inderscience.com/link.php?id=131261 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:3:p:417-437 Template-Type: ReDIF-Article 1.0 Author-Name: K. Karthikeyan Author-X-Name-First: K. Author-X-Name-Last: Karthikeyan Author-Name: S. Maragathasundari Author-X-Name-First: S. Author-X-Name-Last: Maragathasundari Author-Name: P. Manikandan Author-X-Name-First: P. Author-X-Name-Last: Manikandan Title: Execution measures of a non-Markovian queuing system in avionic communication Abstract: In this queuing system of avionic communications, the clients (input) appear into the system in batches. Their arrival follows the Poisson ascension. Service time follows general distribution. The service here is provided in a single management phase. Before the main service, all clients must go through the two preparation phases of server management. Second stage pre-processing management is given after a delay. During this period, customers must queue up to receive service. In this model, an idea of reneging and restricted admissibility is proposed. To minimise the server interruption, vacation concept is introduced after the completion of service. This type of queuing situation is solved through supplementary variable strategies. Probabilistic generating function of the queue size, idle time of the server, utilisation factor and various execution measures are derived. Model is discussed in detail through numerical analysis, practical application and mathematical demarcation methods. The graphic survey gives an accurate measurement of the limits attempted in this survey. Journal: Int. J. of Process Management and Benchmarking Pages: 329-355 Issue: 3 Volume: 14 Year: 2023 Keywords: non-Markovian queuing problem; batch arrival; setup time stages; supplementary variable technique; reneging; restricted admissibility; vacation interruption; service interruption. File-URL: http://www.inderscience.com/link.php?id=131262 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:3:p:329-355 Template-Type: ReDIF-Article 1.0 Author-Name: Sanjaya Mayadunne Author-X-Name-First: Sanjaya Author-X-Name-Last: Mayadunne Author-Name: Elizabeth Sharer Author-X-Name-First: Elizabeth Author-X-Name-Last: Sharer Author-Name: Hari K. Rajagopalan Author-X-Name-First: Hari K. Author-X-Name-Last: Rajagopalan Title: Store closure during an economic downturn: a case study in retail pharmacy Abstract: The great recession in the first decade of the 21st century forced many retail chains to downsize operations. More recently, the global pandemic caused by the COVID-19 virus disrupted supply chains and severely diminished consumer spending. These events resulted in numerous store closings. When determining downsizing strategies, it is important for firms to understand the redistribution of demand that follows store closures. By taking a dynamic approach it is possible to influence the downsizing decisions of rival chains and thus recapture demand that may otherwise be lost. This paper is an extension of the study by Mayadunne et al. (2018) which introduced a solution approach to this problem based on a mixed integer-programming model. The model finds the equilibrium solution to the game between two chains that are forced to close stores in a given region. A heuristic that examines the effect of these decisions over multiple time-periods is then proposed. This paper extends both the model and application in order to glean additional insights that can be used to refine store-closing strategies. Journal: Int. J. of Process Management and Benchmarking Pages: 400-416 Issue: 3 Volume: 14 Year: 2023 Keywords: location analysis; store closing; integer linear programming; game theory. File-URL: http://www.inderscience.com/link.php?id=131266 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:14:y:2023:i:3:p:400-416 Template-Type: ReDIF-Article 1.0 Author-Name: Hamad AlDhaheri Author-X-Name-First: Hamad Author-X-Name-Last: AlDhaheri Author-Name: Mohd Faiz Hilmi Author-X-Name-First: Mohd Faiz Author-X-Name-Last: Hilmi Author-Name: Anas Abudaqa Author-X-Name-First: Anas Author-X-Name-Last: Abudaqa Author-Name: Rashed A. Alzahmi Author-X-Name-First: Rashed A. Author-X-Name-Last: Alzahmi Author-Name: Gouher Ahmed Author-X-Name-First: Gouher Author-X-Name-Last: Ahmed Title: The relationship between HRM practices, innovation, and employee productivity in UAE public sector: a structural equation modelling approach Abstract: The study examines the impact of human resource (HR) practices like salary, training and development, performance appraisal and along with remuneration and employee attitude on employee productivity among the government entities in United Arab Emirates (UAE). The data were collected through a structured questionnaire from 396 respondents of different government entities. The findings through structural equation model (SEM) indicates that there is a significant and positive impact of salary, training and development, performance appraisal, remuneration and employee attitude, and innovation on the employee productivity of governmental entities in UAE. This empirical research would be of great support to the HR managers, policymakers, and other stakeholders to make some strategic decisions to improve the productivity of the employees. Journal: Int. J. of Process Management and Benchmarking Pages: 157-176 Issue: 2 Volume: 13 Year: 2023 Keywords: HR practices; employee productivity; firm innovativeness; UAE. File-URL: http://www.inderscience.com/link.php?id=128471 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:2:p:157-176 Template-Type: ReDIF-Article 1.0 Author-Name: Fatemeh Mohammadi Author-X-Name-First: Fatemeh Author-X-Name-Last: Mohammadi Author-Name: Saeed Kazempourian Author-X-Name-First: Saeed Author-X-Name-Last: Kazempourian Author-Name: Iman Raeesi Vanani Author-X-Name-First: Iman Raeesi Author-X-Name-Last: Vanani Title: Process mining approach to performance analysis and bottleneck finding in electronic processes (case study: the billing process of hospital services) Abstract: Today, organisations are getting bigger and bigger. This creates a huge amount of event data. Using process-aware information systems such as enterprise resource planning, it is possible to record activities in the form of event logs. Organisations can use process mining to extract information from event logs and analyse business processes. Process mining is very important in terms of reducing costs, improving processes, and in particular reducing process time. This study focuses on practical features of process mining, namely process model discovery, performance analysis, and bottleneck finding. The case study is the billing process for healthcare services provided by a local hospital. The dataset was analysed using Disco. The results show that the process includes five main activities that had the most frequency. In addition, registering a new application to check the type of insurance is a bottleneck. Redesigning this pathway can have a significant impact on process efficiency. Journal: Int. J. of Process Management and Benchmarking Pages: 212-232 Issue: 2 Volume: 13 Year: 2023 Keywords: process mining; process analysis; performance analysis; bottleneck analysis; business process management; BPM; Disco. File-URL: http://www.inderscience.com/link.php?id=128472 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:2:p:212-232 Template-Type: ReDIF-Article 1.0 Author-Name: V. Anjana Author-X-Name-First: V. Author-X-Name-Last: Anjana Author-Name: M.N. Anish Author-X-Name-First: M.N. Author-X-Name-Last: Anish Author-Name: R. Sridharan Author-X-Name-First: R. Author-X-Name-Last: Sridharan Title: Modified multi-objective simulated annealing algorithm for scheduling a flow shop production system with setup times Abstract: The presence of setup times and multiple objectives makes the scheduling problem complex. This paper presents two algorithms namely: multi-objective simulated annealing (MOSA) and modified MOSA for the simultaneous minimisation of makespan and mean tardiness in scheduling a flow shop production system wherein setup times depend on processing sequence. The modified MOSA algorithm is developed by hybridising MOSA with variable neighbourhood search. Benchmark problems are used to conduct computational experiments. The analysis of the algorithms reveals that modified MOSA outperforms MOSA for the measures considered. Hybridisation improves the performance of MOSA. The proposed algorithms are applied on scheduling a real-world SDST flow shop and the results indicate superior performance of modified MOSA. Journal: Int. J. of Process Management and Benchmarking Pages: 177-211 Issue: 2 Volume: 13 Year: 2023 Keywords: flow shop production system; sequence dependent setup time; SDST; multi-objective simulated annealing; MOSA; variable neighbourhood search; VNS; hybridisation. File-URL: http://www.inderscience.com/link.php?id=128473 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:2:p:177-211 Template-Type: ReDIF-Article 1.0 Author-Name: Maryam Bahrami Author-X-Name-First: Maryam Author-X-Name-Last: Bahrami Author-Name: Mehdi Khashei Author-X-Name-First: Mehdi Author-X-Name-Last: Khashei Author-Name: Atefeh Amindoust Author-X-Name-First: Atefeh Author-X-Name-Last: Amindoust Title: Demand forecasting using modelling and comparison of series and parallel structures of SARIMA and SMLP Abstract: One of the problems in demand management is the change in demand, which causes uncertainty in the amount of production. Therefore, companies forecast demand in order to eliminate the uncertainty. There are several ways to predict demand. Series and parallel composition structures are the most important and accurate of these methods in prediction. The purpose of this paper is to model two series and parallel structures and compare the performance of these structures with each other and with their individual models. In this study, using a combination of seasonal autoregressive integrated moving average (SARIMA) and seasonal artificial neural network (SANN) widely used models, demand forecasting has been done in two Taiwan machinery dataset and soft drinks dataset. The results show that the performance of the proposed hybrid model is more accurate than the one-component models and also in the comparison of series and parallel structures, it is observed that on average the performance of the parallel structure in the field of demand forecasting produces more accurate results. Journal: Int. J. of Process Management and Benchmarking Pages: 282-301 Issue: 2 Volume: 13 Year: 2023 Keywords: demand forecasting; parallel model; series model; seasonal autoregressive integrated moving average; SARIMA; seasonal artificial neural network; SANN. File-URL: http://www.inderscience.com/link.php?id=128481 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:2:p:282-301 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Alawamleh Author-X-Name-First: Mohammad Author-X-Name-Last: Alawamleh Author-Name: Bushra Mahadin Author-X-Name-First: Bushra Author-X-Name-Last: Mahadin Author-Name: Layan Al Nimer Author-X-Name-First: Layan Al Author-X-Name-Last: Nimer Author-Name: Dana Suliman Marji Author-X-Name-First: Dana Suliman Author-X-Name-Last: Marji Title: Ecopreneurship: a systematic review Abstract: This paper explores how human activities relating to capitalism caused catastrophic environmental issues faced today, including pollution, global warming, desertification and diseases. It considers the potential solution of ecopreneurship to address climate change and other environmental issues with an extensive systematic literature review in the neglected research context of Jordan. The paper aims to encourage other researchers to study this topic further while taking into consideration Jordanian culture and market factors, identifying several gaps in the literature that need to be filled in future research, in order to enlarge knowledge on ecopreneurship. Journal: Int. J. of Process Management and Benchmarking Pages: 257-281 Issue: 2 Volume: 13 Year: 2023 Keywords: ecopreneurship; education; environment; sustainability. File-URL: http://www.inderscience.com/link.php?id=128485 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:2:p:257-281 Template-Type: ReDIF-Article 1.0 Author-Name: Raghuvir Pai Author-X-Name-First: Raghuvir Author-X-Name-Last: Pai Author-Name: Gopinath Chattopadhyay Author-X-Name-First: Gopinath Author-X-Name-Last: Chattopadhyay Author-Name: Gour Karmakar Author-X-Name-First: Gour Author-X-Name-Last: Karmakar Title: Maintenance and asset management practices of industrial assets: importance of tribological practices and digital tools Abstract: There are a large number of rotating and sliding parts in industrial assets. Tribological behaviour plays a significant role in influencing friction and wear, and in turn, the life of these parts. There are issues and challenges in understanding the tribological aspects and behaviour of machine components by maintenance professionals so that informed decisions can taken to improve performance and productivity. An understanding of tribology helps in developing and applying the tools and techniques necessary for better maintenance. In recent years, remote performance monitoring (RPM), internet of things (IoT), machine learning, artificial intelligence and data analytics have made a significant contribution to maintenance and asset management. This paper reviews the tribological aspects related to maintenance, reliability and asset management. The findings of this study will be useful to engineers and managers to understand and appreciate the relationship between tribology, maintenance, reliability and availability for better asset management. Journal: Int. J. of Process Management and Benchmarking Pages: 233-256 Issue: 2 Volume: 13 Year: 2023 Keywords: tribology; maintenance; asset management; internet of things; IoT; machine learning; artificial intelligence; data analytics. File-URL: http://www.inderscience.com/link.php?id=128508 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:13:y:2023:i:2:p:233-256