Template-Type: ReDIF-Article 1.0 Author-Name: Bundid Kungwannarongkun Author-X-Name-First: Bundid Author-X-Name-Last: Kungwannarongkun Author-Name: Jirapan Liangrokapart Author-X-Name-First: Jirapan Author-X-Name-Last: Liangrokapart Title: Collaborative purchasing framework for medical product procurement in Thai hospitals Abstract: An increase in business competition and the cutting price has occurred in every industry globally. Organisations have shifted their awareness to the efficiency of their procurement processes and the significance of collaboration with other organisations to save costs. Hospitals also require an efficient procurement process and cultivate partnerships with their stakeholders to secure and control hospital expenses. We conducted exploratory research investigating factors for developing a collaborative purchasing framework for medical product procurement in Thai hospitals. The key messages were extracted from stakeholders who had direct and indirect experience in medical product procurement through in-depth interviews. The triangulation method was applied in this study to assure the research validity. Eight factors including government intervention, ethical components, corporate governance, expertise, corporate strategy, information technology infrastructure, educational environment, and general agreement between suppliers and purchasers are identified as the essential factors for the collaborative purchasing framework in this study. Journal: Int. J. of Logistics Systems and Management Pages: 312-335 Issue: 3 Volume: 49 Year: 2024 Keywords: collaborative purchasing; medical product procurement; hospital; exploratory research; triangulation. File-URL: http://www.inderscience.com/link.php?id=142612 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:3:p:312-335 Template-Type: ReDIF-Article 1.0 Author-Name: Sunny Saha Author-X-Name-First: Sunny Author-X-Name-Last: Saha Title: Impact of supply chain management tools on customer satisfaction: a study on readymade garments industry of Bangladesh Abstract: Bangladesh ready-made garments (RMG) industry is the leading source of foreign currency and also the second leading contributor to GDP in Bangladesh. The paper scrutinises the impact of supply chain management (SCM) tools (flexibility, delivery, quality and cost) on customer satisfaction (CS) concentrating on Bangladesh readymade garments industry. This topic was the focused factor for various scholarly studies. However, no paper tested the influence of SCM tools on CS based on the Bangladesh RMG industry. This study will concentrate on the stated research gap. In this paper, 170 customers of garments sectors were surveyed to collect primary data. For data analysis, I used SPSS and AMOS. From the analysis, I find that flexibility, delivery and cost have a direct impact on CS. I expect that the paper facilitates the concerned business persons who are related to garments business in effective and efficient decision making for the betterment of SCM tools implementation. Journal: Int. J. of Logistics Systems and Management Pages: 357-371 Issue: 3 Volume: 49 Year: 2024 Keywords: ready-made garments; RMG; supply chain management; SCM; Bangladesh; customer satisfaction; flexibility; delivery; quality; cost; Bangladesh. File-URL: http://www.inderscience.com/link.php?id=142613 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:3:p:357-371 Template-Type: ReDIF-Article 1.0 Author-Name: César Perusso Author-X-Name-First: César Author-X-Name-Last: Perusso Author-Name: Guilherme Bergmann Borges Vieira Author-X-Name-First: Guilherme Bergmann Borges Author-X-Name-Last: Vieira Author-Name: Mateus Panizzon Author-X-Name-First: Mateus Author-X-Name-Last: Panizzon Author-Name: Pietro Cunha Dolci Author-X-Name-First: Pietro Cunha Author-X-Name-Last: Dolci Author-Name: Gabriel Vidor Author-X-Name-First: Gabriel Author-X-Name-Last: Vidor Title: Analysis of critical success factors in supply chain management based on different market scenarios: a systematic literature review Abstract: This article presents a systematic literature review about critical success factors in supply chain management related to different market scenarios. For the selection of studies, the search terms were supply chain, scenarios, market scenarios, success factors, critical success factors and some combinations among these terms. We used Science Direct, Web of Science and Emerald databases. The selected articles were submitted to bibliometric and content analysis procedures. From the results of the review, we identified the success factors most mentioned in the supply chain management literature and defined the main market scenarios to which such supply chains may be related. The analysis of the relationship between critical success factors and market scenarios in supply chains proved to be an incipient theme, indicating a gap and a research opportunity to be explored. Journal: Int. J. of Logistics Systems and Management Pages: 336-356 Issue: 3 Volume: 49 Year: 2024 Keywords: supply chain management; critical success factors; CSF; market scenarios; systematic literature review; SLR. File-URL: http://www.inderscience.com/link.php?id=142614 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:3:p:336-356 Template-Type: ReDIF-Article 1.0 Author-Name: Hendrigo Venes Author-X-Name-First: Hendrigo Author-X-Name-Last: Venes Author-Name: Rodrigo de Alvarenga Rosa Author-X-Name-First: Rodrigo de Alvarenga Author-X-Name-Last: Rosa Author-Name: Leandro Colombi Resendo Author-X-Name-First: Leandro Colombi Author-X-Name-Last: Resendo Author-Name: Rodrigo Pirola Pestana Author-X-Name-First: Rodrigo Pirola Author-X-Name-Last: Pestana Title: Planning the distribution of empty wagon batches from marshalling yards to meet mine loading demand Abstract: The daily management of empty wagons is one of the key factors to improve the railway network performance and to manage the railway facilities. The aim of this paper is to propose a mathematical model of mixed integer linear programming to manage the distribution of empty wagons from marshalling yards to meet the demand in iron ore mines, reducing the breaking up of trains in the marshalling and origin yards and minimising the travel time. Using real data from EFVM, an important Brazilian railway, it was possible to obtain the optimum solution with CPLEX at very low execution times. The results showed that CPLEX was able to reduce 40.42% of the trains breaking ups when compared to the plan proposed by the EFVM planners. Journal: Int. J. of Logistics Systems and Management Pages: 389-411 Issue: 3 Volume: 49 Year: 2024 Keywords: railway operations; railway transportation; empty wagon distribution. File-URL: http://www.inderscience.com/link.php?id=142615 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:3:p:389-411 Template-Type: ReDIF-Article 1.0 Author-Name: Mansureh Mohammadi Author-X-Name-First: Mansureh Author-X-Name-Last: Mohammadi Author-Name: Mohammad Reza Gholamian Author-X-Name-First: Mohammad Reza Author-X-Name-Last: Gholamian Title: Vendor managed inventory model in a supply chain with single vendor and multiple retailers considering price and shelf space aspects Abstract: Coordination decisions in the supply chain is challenging especially for manufacturers who are looking for a minimum cost and reaching to maximum profit. There are many policies for achieving coordination and integration in supply chain. Vendor managed inventory (VMI) is one of the most practical policies in this area. In VMI, retailers share their inventory data with a vendor and instead, vendor manages the retailers' inventory level through the provided information. In this study, a new VMI model with price- and shelf space-dependent demand has been presented. Meanwhile, role of brand and promotional effects have been considered in this demand function. The general research method employed in the study, is based on mathematical modelling and numerical analysis. In this regard, a supply chain with one manufacturer and two retailers has been examined. Numerical results show the performance improvement of the supply chain, by means of revenue-sharing contract in VMI policy. Journal: Int. J. of Logistics Systems and Management Pages: 291-311 Issue: 3 Volume: 49 Year: 2024 Keywords: vendor managed inventory; VMI; shelf-space; brand image; advertising; revenue-sharing contract; Stackelberg game. File-URL: http://www.inderscience.com/link.php?id=142616 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:3:p:291-311 Template-Type: ReDIF-Article 1.0 Author-Name: Volkan Yavas Author-X-Name-First: Volkan Author-X-Name-Last: Yavas Author-Name: Yesim Deniz Ozkan-Ozen Author-X-Name-First: Yesim Deniz Author-X-Name-Last: Ozkan-Ozen Title: Air logistics in the digital era: a content analysis for current trends and future directions Abstract: Digitalisation through the new industrial revolution results in a great transformation in all stages of the supply chains, and air logistics industry under logistics need to embrace these changes to achieve smarter processes and higher efficiency. Current literature related to digitalisation in air logistics lacks in providing a holistic perspective in the field. From this perspective, this study reveals current approaches and future trends in digitalised air logistics by conducting a two-staged content analysis. First, using VOSViewer software, a visualisation is performed with co-occurrence network analysis through keywords in related studies in WOS and SCOPUS databases, respectively. Then, qualitative data analysis is carried out with MAXQDA and related studies were evaluated in detail. Because of the evaluation of all three analyses together, the keywords 'air logistics, digital, ICT, RFID and technology' stand out. These are followed by the keywords 'blockchain, cloud, collaboration, freight, future, innovation, intelligence, IoT, simulation and smart'. At the end of the study a framework for digitalised air logistics industry that includes research trends, i.e., policy development, technology development and sustainable development is structured and implications are integrated with results. Journal: Int. J. of Logistics Systems and Management Pages: 439-461 Issue: 4 Volume: 49 Year: 2024 Keywords: air logistics; digitalisation; Industry 4.0; content analysis. File-URL: http://www.inderscience.com/link.php?id=143384 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:4:p:439-461 Template-Type: ReDIF-Article 1.0 Author-Name: Konstantin Muehlbauer Author-X-Name-First: Konstantin Author-X-Name-Last: Muehlbauer Author-Name: Sebastian Meissner Author-X-Name-First: Sebastian Author-X-Name-Last: Meissner Author-Name: Stephanie Baeuml Author-X-Name-First: Stephanie Author-X-Name-Last: Baeuml Title: Current state of process automation in internal logistics: a Germany-wide expert survey Abstract: The ongoing digitalisation enables the use of new technologies for automation within material and information flow to make them more efficient and effective. For the future development and implementation of process automation technologies, it is important to evaluate the current state and identify obstacles as well as further potentials. The article presents the results of a Germany-wide survey of companies with regard to process automation in material flow and information processing within logistics systems. The results indicate that the material flow in the areas of storage and internal transport are already frequently automated. The generated data in these areas offers new potential for the implementation of further automation technologies in information processing for more efficient and higher-quality planning and control. Journal: Int. J. of Logistics Systems and Management Pages: 372-388 Issue: 3 Volume: 49 Year: 2024 Keywords: automation technology; artificial intelligence; expert survey; information processing; internal logistics; logistics systems; materials handling; process automation; Germany. File-URL: http://www.inderscience.com/link.php?id=142617 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:3:p:372-388 Template-Type: ReDIF-Article 1.0 Author-Name: Thanapong Champahom Author-X-Name-First: Thanapong Author-X-Name-Last: Champahom Author-Name: Panuwat Wisutwattanasak Author-X-Name-First: Panuwat Author-X-Name-Last: Wisutwattanasak Author-Name: Rabil Ponphai Author-X-Name-First: Rabil Author-X-Name-Last: Ponphai Author-Name: Sajjakaj Jomnonkwao Author-X-Name-First: Sajjakaj Author-X-Name-Last: Jomnonkwao Author-Name: Ampol Karoonsoontawong Author-X-Name-First: Ampol Author-X-Name-Last: Karoonsoontawong Author-Name: Vatanavongs Ratanavaraha Author-X-Name-First: Vatanavongs Author-X-Name-Last: Ratanavaraha Title: Modelling of truck logistics provider based on attitude of truck operators and drivers: mixed method approach Abstract: Current transportation problems are challenging. Service qualities and policies of third-party logistics derive from the executives or the directors' visions, from which all concepts originate without any driver's participation. This study aims to build the transport indicators generated from visions of the operators consisting of controllers and drivers. This research uses mixed methods research including qualitative and quantitative analysis. For the qualitative analysis, the interviews were conducted by transport controllers. The questionnaires were used with truck drivers for quantitative analysis. Regarding the results from the quantitative method, this study illustrated that the components of operation consist of four factors including safety, revenue, transport, and policy. The results indicated that these factors are statistically significant. This study can be used as a guideline to provide improved policies for organisations within the public and private sectors that are involved in truck transportation. Journal: Int. J. of Logistics Systems and Management Pages: 554-578 Issue: 4 Volume: 49 Year: 2024 Keywords: mixed method; confirmatory factor analysis; CFA; exploratory factor analysis; EFA; truck agency. File-URL: http://www.inderscience.com/link.php?id=143385 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:4:p:554-578 Template-Type: ReDIF-Article 1.0 Author-Name: Chuks Medoh Author-X-Name-First: Chuks Author-X-Name-Last: Medoh Author-Name: Arnesh Telukdarie Author-X-Name-First: Arnesh Author-X-Name-Last: Telukdarie Title: Predictive modelling for smart and sustainable logistics Abstract: Logistics systems (LS) are complex networks that are indiscriminately interconnected and comprising facilities, data, raw material, and product. Quantifying the performance of LS requires a comprehensive understanding of the structure and behaviour of these systems. This is subject to technological complexities. This paper aims to develop a predictive modelling suitable to quantify the performance of LS. The components of the SSLM consist of, business process based, influencing factors and associated activities. This paper adopts a mixed-method approach to quantify the relative performance of each factor via simulation and design of experiment (DOE) approach. The approach provides for the modelling of the statistical significance of the interactions and effect of each factor. The results demonstrate the ability to integrate LS in forecasting the SSLM network optimisation. The innovations reinforce the context of smart and sustainable logistics practices. The SSLM facilitates managers' capacities beyond traditional approaches to quantifying the performance of LS. Journal: Int. J. of Logistics Systems and Management Pages: 462-485 Issue: 4 Volume: 49 Year: 2024 Keywords: logistics; sustainability; simulation; smart and sustainable logistics model; SSLM; logistics systems; LS. File-URL: http://www.inderscience.com/link.php?id=143386 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:4:p:462-485 Template-Type: ReDIF-Article 1.0 Author-Name: Bijoy Krishna Debnath Author-X-Name-First: Bijoy Krishna Author-X-Name-Last: Debnath Author-Name: Pinki Majumder Author-X-Name-First: Pinki Author-X-Name-Last: Majumder Author-Name: Uttam Kumar Bera Author-X-Name-First: Uttam Kumar Author-X-Name-Last: Bera Title: EOQ model in uncertain environment by using generalised intuitionistic fuzzy Laplace transformation Abstract: This paper investigates an intuitionistic fuzzy economic order quantity (EOQ) inventory model under trade credit policy where initial order quantity is considered as triangular intuitionistic fuzzy number (TrIFN) and generalised fuzzy Laplace transform method is applied to solve intuitionistic fuzzy differential equation. The rate of demand varies with the selling price and inflation over time. Furthermore, the generalised Hukuhara derivative approach to convert the fuzzy differential equation into crisp differential equation is employed. The purpose of this paper is to determine the time that maximises the retailer's total profit per unit. Since, initial order quantity is assumed to be TrIFN and by using of (<i>α</i>, <i>β</i>)-cut of intuitionistic fuzzy number, then four objective profit functions are derived. Therefore, multi-objective genetic algorithm is used to obtain the solutions. Finally, a numerical example is considered for different cases in order to illustrate the theoretical results and a sensitivity analysis of parameters on the solutions is conducted. Journal: Int. J. of Logistics Systems and Management Pages: 412-437 Issue: 3 Volume: 49 Year: 2024 Keywords: intuitionistic fuzzy number; multi-objective genetic algorithm; MOGA; intuitionistic fuzzy differential equation; gH derivative. File-URL: http://www.inderscience.com/link.php?id=142619 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:3:p:412-437 Template-Type: ReDIF-Article 1.0 Author-Name: Maryam Aliei Author-X-Name-First: Maryam Author-X-Name-Last: Aliei Author-Name: Mansoureh Hoorali Author-X-Name-First: Mansoureh Author-X-Name-Last: Hoorali Title: Operational solutions to improve relief logistics management Abstract: The Islamic Republic of Iran, with its climate, geography, socio-economic characteristics, and coordination of its military security policy context, is very much prone to natural and human-made disasters. International statistics available indicate that in the past 40 years, the country has undergone a great disaster, and suffered heavy personal injury and economic losses are huge. This paper has a brief review of the applications, container transport logistics, rescue and temporary accommodation trauma, and design studies and strategies implemented derived from this concept in rescue operations in the disaster, innovative development 'container rescue' as a solution for rescue of innovative offers. The relief container is a concept whose design is based on the application of changes in the forty-foot shipping container and has the ability to provide transportation, storage, residential and service functions in disaster communities. Journal: Int. J. of Logistics Systems and Management Pages: 529-553 Issue: 4 Volume: 49 Year: 2024 Keywords: disaster; natural disasters; rescue housing; rescue logistics; transport container; rescue container. File-URL: http://www.inderscience.com/link.php?id=143387 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:4:p:529-553 Template-Type: ReDIF-Article 1.0 Author-Name: Chaima Benabdallah Author-X-Name-First: Chaima Author-X-Name-Last: Benabdallah Author-Name: Adnen El-Amraoui Author-X-Name-First: Adnen Author-X-Name-Last: El-Amraoui Author-Name: François Delmotte Author-X-Name-First: François Author-X-Name-Last: Delmotte Author-Name: Ahmed Frikha Author-X-Name-First: Ahmed Author-X-Name-Last: Frikha Title: New approach for sustainable and resilient dairy farmer selection under uncertainty Abstract: In this paper, we propose a hybrid multi-criteria decision-making (MCDM) model under fuzzy environment to select sustainable and resilient suppliers for a real case study of dairy industry in Tunisia. Initially, 12 criteria are applied for categorising of suppliers into four indexes including social, environmental, economic, and resiliency index through literature review and experts' opinions. A fuzzy analytic hierarchy process (FAHP) is proposed to calculate the weight of each criterion, which is used as input in a new fuzzy multi-attribute border approximation area comparison (FMABAC) method for ranking suppliers. The proposed approach may help decision-makers to naturally express their preferences for evaluating supplier selection criteria and to identify the most efficient dairy farmers. Finally, obtained results are discussed by using two sensitivity analysis methods, namely, changing the weights of criteria and comparative analysis with other fuzzy MCDM methods. Journal: Int. J. of Logistics Systems and Management Pages: 486-528 Issue: 4 Volume: 49 Year: 2024 Keywords: sustainable-resilient supplier selection; fuzzy sets; fuzzy AHP; fuzzy MABAC; dairy farmers. File-URL: http://www.inderscience.com/link.php?id=143388 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:4:p:486-528 Template-Type: ReDIF-Article 1.0 Author-Name: Ngoc Vu-Thi-Minh Author-X-Name-First: Ngoc Author-X-Name-Last: Vu-Thi-Minh Author-Name: Linh Bui-Duy Author-X-Name-First: Linh Author-X-Name-Last: Bui-Duy Author-Name: Luan Thanh Le Author-X-Name-First: Luan Thanh Author-X-Name-Last: Le Author-Name: Giang Hoang-Huong Author-X-Name-First: Giang Author-X-Name-Last: Hoang-Huong Author-Name: Son Ta-Anh Author-X-Name-First: Son Author-X-Name-Last: Ta-Anh Title: Supply chain disruption for crude oil due to the effect of COVID-19 pandemic: evidence from Vietnam Abstract: The operation of the crude oil supply chain under the influence of the pandemic has not been extensively examined, despite its importance as a strategic commodity. Based on a powerful simulation model using real-time data parameters, this study investigates the effects of a worldwide pandemic on the crude oil supply chain. The study indicates a downturn in performance and a disruption in the supply chain, as revealed by the outcome of key performance indicators (KPIs). Green field analysis (GFA) experiments are furtherly implemented for different scenarios to investigate the variation of KPIs. As a result, we propose contingency rerouting as a potentially proactive solution that can support crude oil businesses in the resilience process during the pandemic. Journal: Int. J. of Logistics Systems and Management Pages: 326-349 Issue: 3 Volume: 48 Year: 2024 Keywords: supply chain disruption; COVID-19 pandemic; simulation models; greenfield analysis; key performance indicator; financial KPI; customer KPI; crude oil; Vietnam; contingency rerouting. File-URL: http://www.inderscience.com/link.php?id=140061 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:3:p:326-349 Template-Type: ReDIF-Article 1.0 Author-Name: Kanagi Kanapathy Author-X-Name-First: Kanagi Author-X-Name-Last: Kanapathy Author-Name: Azmin Azliza Aziz Author-X-Name-First: Azmin Azliza Author-X-Name-Last: Aziz Author-Name: Arsalan Najmi Author-X-Name-First: Arsalan Author-X-Name-Last: Najmi Title: Industry 4.0 and its enablers and barriers: a systematic and bibliometric review of literature Abstract: Industry 4.0 is highly debated and discussed among academicians and practitioners with respect to its nature, scope, and practicality. With a high involvement of digitisation and technology, the transformation of an organisation from conventional to Industry 4.0 is highly complex especially during current organisational operations. By the help of in-depth systematic and bibliometric analysis, this study highlights the significant contributions made by the authors, institutions and countries across 1,554 studies which further lead to the identification of the important phenomena and areas that can further expand the literature. In addition to this, the review also identified essential components, key enablers and barriers, whereas key enablers identified will complement the adoption. Since Industry 4.0 is still at the introduction stage, the barriers that may hinder the industrial transformation are accentuated; practitioners need to work on reducing these barriers, for the success and sustainability of Industry 4.0. Journal: Int. J. of Logistics Systems and Management Pages: 297-325 Issue: 3 Volume: 48 Year: 2024 Keywords: Industry 4.0; digitisation; components; enablers; barriers. File-URL: http://www.inderscience.com/link.php?id=140062 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:3:p:297-325 Template-Type: ReDIF-Article 1.0 Author-Name: Luca Urciuoli Author-X-Name-First: Luca Author-X-Name-Last: Urciuoli Author-Name: Thi Thu Hien Phan Author-X-Name-First: Thi Thu Hien Author-X-Name-Last: Phan Author-Name: Juha Hintsa Author-X-Name-First: Juha Author-X-Name-Last: Hintsa Title: Managing supply chain risks in emerging economies - the case of timber supply chains in Vietnam Abstract: This paper performs an exploratory case study with Vietnamese timber firms, to discover what supply chain risks are perceived by companies. Emerging economies like Vietnam enjoy important advantages like low labour and production costs, access to internal resources, favourable geographic position and trading schemes issued by the European Union. Yet, diverse supply chain risks may hinder further growth, including risks related to access to supplies, compliance management, infrastructure, obsolete production machinery, and lack of skilled workforce. Compared to previous research, this paper contextualises existing knowledge in supply chain risks and mitigation strategies in an emerging economy like Vietnam. From a practitioner viewpoint, decision makers can boost the timber sector through targeted investments in modern infrastructure and adapting timber plantations to existing quality standards. Journal: Int. J. of Logistics Systems and Management Pages: 350-374 Issue: 3 Volume: 48 Year: 2024 Keywords: supply chain risks; risk mitigation strategies; international trade; timber supply chain management; Vietnam supply chain risks; emerging economies supply chain; Vietnam. File-URL: http://www.inderscience.com/link.php?id=140063 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:3:p:350-374 Template-Type: ReDIF-Article 1.0 Author-Name: Narathip Titlo Author-X-Name-First: Narathip Author-X-Name-Last: Titlo Author-Name: Apichat Sopadang Author-X-Name-First: Apichat Author-X-Name-Last: Sopadang Author-Name: Nilubon Chonsawat Author-X-Name-First: Nilubon Author-X-Name-Last: Chonsawat Title: Performance measurement of cold chain exporting: fresh longan exporting Abstract: Thai fresh longan is a significant product from Northern Thailand, of which the biggest export is to China. Poor performance of cold chain exporting will lose the potential and quality of a perishable product. In this sense, this research aimed to develop the cold chain performance measurement for Thai fresh longan exporting and identify the critical performance factors. To achieve the research objective, the researchers developed the hierarchy of cold chain performance factors. Then, five experts in the fresh longan export supply chain are interviewed to identify the weight factors prioritisation using the fuzzy AHP technique. After that, this performance measurement was applied with two case studies exporters in Thailand. The result indicated that the most critical cold chain performance efficiency factors were quality and safety, cost, traceability, and reliability. It was concluded that this performance measurement was practical and could support decision-makers on export cold chain logistics performance. Journal: Int. J. of Logistics Systems and Management Pages: 414-436 Issue: 3 Volume: 48 Year: 2024 Keywords: cold chain; exporting; fuzzy analytic hierarchy process; logistics performance; north-south economic corridor; performance measurement; perishable products. File-URL: http://www.inderscience.com/link.php?id=140064 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:3:p:414-436 Template-Type: ReDIF-Article 1.0 Author-Name: Santosh Satyanarayan Baheti Author-X-Name-First: Santosh Satyanarayan Author-X-Name-Last: Baheti Title: International Journal of Logistics Systems and Management (2004-2020): an analytical retrospective Abstract: <i>International Journal of Logistics Systems and Management</i> (<i>IJLSM</i>) is a journal of international repute that publishes original and peer-reviewed research in the business, management, accounting, and decision sciences domain. The journal reached its 18th year of publishing in 2021. This study provides a comprehensive overview of 962 publications using the bibliometric data analysis technique. The study focuses on the contribution of <i>IJLSM</i> to the knowledge domain through publishing trends, authorship patterns, dominant authors, prominent articles, nature of studies, and thematic analysis. Cooccurrence of all keywords, co-authorship, citation and co-citation analysis of authors, countries, and institutions is performed through VOS viewer software. The findings of the study emphasise the relationship of <i>IJLSM</i> to different fields. The analysis also provides key insights into the evolution of the domain over time. Journal: Int. J. of Logistics Systems and Management Pages: 375-413 Issue: 3 Volume: 48 Year: 2024 Keywords: bibliometrics; scopus; logistic management; VOS viewer. File-URL: http://www.inderscience.com/link.php?id=140065 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:3:p:375-413 Template-Type: ReDIF-Article 1.0 Author-Name: Mahmoud Barakat Author-X-Name-First: Mahmoud Author-X-Name-Last: Barakat Author-Name: Ahmed Hussein Ali Author-X-Name-First: Ahmed Hussein Author-X-Name-Last: Ali Author-Name: Tarek Madkour Author-X-Name-First: Tarek Author-X-Name-Last: Madkour Author-Name: Ahmed Eid Author-X-Name-First: Ahmed Author-X-Name-Last: Eid Title: Enhancing operational performance through supply chain integration: the mediating role of resilience capabilities under COVID-19 pandemic Abstract: Today's business environment is characterised by rapid market fluctuations because of COVID-19. Drawing on resources-based view and resilience theory, this research proposes a framework in which supply chain integration (SCI) (internal, supplier and customer integration) can be used to enhance operational performance (OP) through four resilience capabilities (flexibility, redundancy collaboration and visibility) under COVID-19. Structural equation modelling was used to investigate the relationships among the research variables using 468 questionnaires from SMEs in the Egyptian market. Results indicated that there is a lack of direct impact from SCI to OP, except for internal integration and cost performance. In addition, resilience capabilities can significantly mediate the relationship between SCI and OP. Testing the relationships among the research variables under COVID-19 conditions will help in extending the theories. In addition, this will offer in depth understanding of the interrelationships between supply chain integration, resilience and operational performance. Journal: Int. J. of Logistics Systems and Management Pages: 161-184 Issue: 2 Volume: 47 Year: 2024 Keywords: operational performance; supply chain resilience; SCR; supply chain integration; SCI; environmental uncertainty. File-URL: http://www.inderscience.com/link.php?id=136486 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:2:p:161-184 Template-Type: ReDIF-Article 1.0 Author-Name: Sangeeth P. Das Author-X-Name-First: Sangeeth P. Author-X-Name-Last: Das Author-Name: C.R. Vishnu Author-X-Name-First: C.R. Author-X-Name-Last: Vishnu 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 Author-Name: P.N. Ram Kumar Author-X-Name-First: P.N. Ram Author-X-Name-Last: Kumar Title: Reliable and flexible supplier selection problem: a genetic algorithm inspired simulation approach Abstract: Strategic decision making in a supply chain commences with a proper sourcing plan. Disruptions in the supply side will certainly inflict cascading effects throughout the chain. To minimise this vulnerability, the procurement system should be incorporated with strategic risk mitigation capabilities like reliability and flexibility. However, the financial implications for improving risk management capabilities and the absence of a suitable decision support system to handle the inherent computational complexities restrained enterprises from upgrading their systems. The present research intends to meet this requirement by proposing a novel multi-objective mathematical model to prepare a procurement plan that optimises reliability and flexibility together with different cost components. Since the proposed model contains nonlinear constraints and mixed-integer variables, we present a simulation-based optimisation methodology inspired by genetic algorithm to solve the model. An illustrative problem is solved, and the managerial implications are discussed to exhibit the scope of the proposed model. Journal: Int. J. of Logistics Systems and Management Pages: 185-209 Issue: 2 Volume: 47 Year: 2024 Keywords: supplier selection; order allocation; multi-objective; reliability; flexibility; simulation. File-URL: http://www.inderscience.com/link.php?id=136487 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:2:p:185-209 Template-Type: ReDIF-Article 1.0 Author-Name: Varinder M. Sharma Author-X-Name-First: Varinder M. Author-X-Name-Last: Sharma Author-Name: Ajay K. Aggarwal Author-X-Name-First: Ajay K. Author-X-Name-Last: Aggarwal Author-Name: Dinesh S. Dave Author-X-Name-First: Dinesh S. Author-X-Name-Last: Dave Title: COVID-19 pandemic supply chain disruption and simulation of retail store resilience Abstract: The uncontrollable spread of the COVID-19 pandemic and countries' countervailing responses to mitigate its impact on their people led to prolonged stockouts of essential consumer products, resulting in consumer panic buying, which further exacerbated the stockout crisis. The retail stores were unable to mitigate this crisis. This study offers a conceptual framework for retail stores to become resilient to such disruptions in the future using their existing resources and capabilities. Later, we illustrate the testing of the framework using simulation methodology. The results demonstrate that stores can quickly and cost-effectively mitigate stockouts by deploying appropriate substitute products, discounts, return policies, demand containment, and effective communication with consumers. Finally, we furnish implications for supply chain resilience and retail managers and describe the study's limitations. Journal: Int. J. of Logistics Systems and Management Pages: 143-160 Issue: 2 Volume: 47 Year: 2024 Keywords: supply chain resilience; prolonged stockout; high consequence disruptions; HCDs; simulation of resilience; extant resources and capabilities. File-URL: http://www.inderscience.com/link.php?id=136488 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:2:p:143-160 Template-Type: ReDIF-Article 1.0 Author-Name: Khaoula Sahraoui Author-X-Name-First: Khaoula Author-X-Name-Last: Sahraoui Author-Name: Samia Aitouche Author-X-Name-First: Samia Author-X-Name-Last: Aitouche Author-Name: Karima Aksa Author-X-Name-First: Karima Author-X-Name-Last: Aksa Title: Deep learning in logistics: a systematic review Abstract: Logistics is one of the main tactics that countries and businesses are improving in order to increase profits. Another prominent theme in today's logistics is emerging technologies. Today's developments in logistics and industry are how to profit from collected and accessible data to use it in various processes such as decision making, production plan, logistics delivery programming, and so on, and more specifically deep learning methods. The aim of this paper is to identify the various applications of deep learning in logistics through a systematic literature review. A set of research questions had been identified to be answered by this article. Journal: Int. J. of Logistics Systems and Management Pages: 246-266 Issue: 2 Volume: 47 Year: 2024 Keywords: logistics; deep learning; state of the art; systematic literature review; SLR. File-URL: http://www.inderscience.com/link.php?id=136489 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:2:p:246-266 Template-Type: ReDIF-Article 1.0 Author-Name: Said Echchakoui Author-X-Name-First: Said Author-X-Name-Last: Echchakoui Author-Name: Jean-Philippe Dion Author-X-Name-First: Jean-Philippe Author-X-Name-Last: Dion Author-Name: Noureddine Barka Author-X-Name-First: Noureddine Author-X-Name-Last: Barka Author-Name: Sasan Sattarpanah Karganroudi Author-X-Name-First: Sasan Sattarpanah Author-X-Name-Last: Karganroudi Title: Maintenance excellence and CMMS criteria choice in the context of small hospital and healthcare organisations Abstract: As medical equipment has become more complex and expensive, the maintenance of this equipment requires special attention to improve outcomes and reduce costs notably in the small hospital and healthcare organisations (SHHOC). This research explores how SHHOC can improve maintenance management according to the maintenance employees' views, and what characteristics of CMMS can help these organisations to reach maintenance excellence. Based on qualitative research method, specifically a multi-case study, the research is conducted on 43 of 68 maintenance employees of small material maintenance services in three regions in the Est of Quebec. This research is a very beneficial source of information both for maintenance managers and stakeholders in making decisions about the maintenance excellence program and selection of CMMS. To the best of the authors' knowledge, this paper is the first to address maintenance excellence and CMMS software selection criteria from the maintenance employees' perspective in the SHHOC context. Journal: Int. J. of Logistics Systems and Management Pages: 210-245 Issue: 2 Volume: 47 Year: 2024 Keywords: maintenance excellence; small hospital and healthcare organisations; SHHOC; computerised maintenance management system; CMMS; maintenance employees; multi-case study. File-URL: http://www.inderscience.com/link.php?id=136490 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:2:p:210-245 Template-Type: ReDIF-Article 1.0 Author-Name: Eggo Henrique Freire Pinheiro Author-X-Name-First: Eggo Henrique Freire Author-X-Name-Last: Pinheiro Author-Name: Enrico Silva Miranda Author-X-Name-First: Enrico Silva Author-X-Name-Last: Miranda Author-Name: Glaubos Clímaco Author-X-Name-First: Glaubos Author-X-Name-Last: Clímaco Author-Name: Alexandre C.M. de Oliveira Author-X-Name-First: Alexandre C.M. de Author-X-Name-Last: Oliveira Title: A clustering search approach for the train timetabling problem Abstract: Freight railways are the major means of transportation of bulk material. Since for the last few years there has been a fast-growing demand and railway infrastructure capacity increasing is very expensive, the improvement of the train scheduling process is needed to ensure the quality of services. This work deals with the train timetabling problem (TTP) composed of mixed traffic railways - both cargo and passenger trains sharing the same resources with different priorities. We propose a new formulation for the TTP, which considers the parallel multi-track context and overtaking in a planning horizon for ongoing and just planned trains. Besides, a novel application of an evolutionary clustering search (ECS) is presented to solve large TTP instances. Finally, we have built a new set of instances derived from real-world scenarios. The findings encourage the future development of ECS-based expert systems that can provide information to decision-making teams of mining companies. Journal: Int. J. of Logistics Systems and Management Pages: 437-464 Issue: 4 Volume: 48 Year: 2024 Keywords: genetic algorithm; evolutionary clustering search; ECS; metaheuristic; train timetabling problem; TTP. File-URL: http://www.inderscience.com/link.php?id=140397 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:4:p:437-464 Template-Type: ReDIF-Article 1.0 Author-Name: Achraf Berrajaa Author-X-Name-First: Achraf Author-X-Name-Last: Berrajaa Title: Deep learning-based genetic algorithm for the robust hub allocation problem with discrete scenarios Abstract: Over the last decade, big data have changed the work and research strategies of several areas, in particular the hub location problems (HLP). The HLP have been extended to handle uncertain data, giving rise to robust HLPs. In a RHLP with discrete scenarios, the unique set of requests is replaced by a set of discrete scenarios. In a robust optimisation approach, making appropriate decisions for all scenarios must be intelligent and optimal. The purpose of this study is to show that such problems can be solved in a reasonable computing time and with an intelligent solution, using a RNN based on GA to approximately solve the problem. The proposed RNN has been trained on a big dataset of 20,000 instances. The performances of the proposed RNN are very interesting such that the success rate is 91% and able to resolve large instances while the traditional approaches are fail to resolve them. Journal: Int. J. of Logistics Systems and Management Pages: 489-507 Issue: 4 Volume: 48 Year: 2024 Keywords: robust HLP; discrete scenarios; deep learning; recurrent neural network; RNN; genetic algorithm. File-URL: http://www.inderscience.com/link.php?id=140398 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:4:p:489-507 Template-Type: ReDIF-Article 1.0 Author-Name: Sirion Son-ong Author-X-Name-First: Sirion Author-X-Name-Last: Son-ong Author-Name: Bhuk Kiranantawat Author-X-Name-First: Bhuk Author-X-Name-Last: Kiranantawat Author-Name: Santi Ditsathaporncharoen Author-X-Name-First: Santi Author-X-Name-Last: Ditsathaporncharoen Author-Name: Mohd Rizaimy Shaharudin Author-X-Name-First: Mohd Rizaimy Author-X-Name-Last: Shaharudin Author-Name: Anchalee Hiranphaet Author-X-Name-First: Anchalee Author-X-Name-Last: Hiranphaet Title: Risk factors related to vegetable wholesalers' opportunistic behaviours influencing relationship termination amongst business partners in a vegetable supply chain Abstract: This study aims to analyse the risk factors related to vegetable wholesalers' opportunistic behaviours influencing relationship termination amongst business partners in a leafy vegetable supply chain. Three key variables were explored, which were the opportunistic behaviours, impact of opportunistic behaviours, and relationship termination. The quantitative research method was employed. The sample was selected from vegetable farmers of the top five most cultivated leafy vegetables in the Nakhon Pathom and Ratchaburi provinces, Thailand which was 146 vegetable farmers. A questionnaire survey was conducted for data collection. The data analysis was performed using descriptive and inferential statistics. The results indicated that the opportunistic behaviours of vegetable wholesalers directly and indirectly influence the relationship termination of business partners. In addition, opportunistic behaviours of vegetable wholesalers directly influence the impact of opportunistic behaviours of vegetable wholesalers and the impact of the opportunistic behaviours of vegetable wholesalers directly affects the relationship termination of business partners. Journal: Int. J. of Logistics Systems and Management Pages: 465-488 Issue: 4 Volume: 48 Year: 2024 Keywords: structural equation modelling; SEM; risk factor; leafy vegetable; buyer opportunistic behaviours; supply chain management; relationship termination; vegetable wholesaler; vegetable farmers; vegetable supply chain; business partner relationship termination. File-URL: http://www.inderscience.com/link.php?id=140399 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:4:p:465-488 Template-Type: ReDIF-Article 1.0 Author-Name: Sepideh Alavi Author-X-Name-First: Sepideh Author-X-Name-Last: Alavi Author-Name: Matthew E.H. Petering Author-X-Name-First: Matthew E.H. Author-X-Name-Last: Petering Author-Name: Anthony Ross Author-X-Name-First: Anthony Author-X-Name-Last: Ross Title: Responsive production planning and replenishment consolidation scheduling for a two-echelon supply chain Abstract: This paper introduces a new mathematical model for production planning and replenishment scheduling in a two-echelon supply chain. The problem addresses production and replenishment coordination, and shipment consolidation decisions in a supply chain that consists of a manufacturer who provides inventory replenishments to multiple distribution centres (DCs). The consolidation activities in this problem are not restricted to specific policies such as aggregation of shipments at regular times or consolidating when a predetermined quantity has accumulated. Rather, we consider the construction of a detailed shipment consolidation schedule over a planning horizon. The problem sheds light on the trade-off between transportation costs, manufacturer inventory holding costs, DC inventory holding costs, and DC backorder costs. We develop a mixed-integer quadratic optimisation model to identify the shipment consolidation schedule that minimises total cost. A genetic algorithm is developed to handle large problem instances. Experimental results show the effectiveness of the proposed solution methods. Journal: Int. J. of Logistics Systems and Management Pages: 508-531 Issue: 4 Volume: 48 Year: 2024 Keywords: inventory; shipment consolidation; coordinated inventory replenishment; inventory control; supply chain management; consolidation schedule; production. File-URL: http://www.inderscience.com/link.php?id=140400 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:4:p:508-531 Template-Type: ReDIF-Article 1.0 Author-Name: Gaurav Kumar Singh Author-X-Name-First: Gaurav Kumar Author-X-Name-Last: Singh Author-Name: Manish Dadhich Author-X-Name-First: Manish Author-X-Name-Last: Dadhich Title: Assessment of multidimensional drivers of blockchain technology in sustainable supply chain management of Indian cement industry: a novel PLS-SEM approach Abstract: This research investigates the multidimensional drivers of blockchain technology in sustainable supply chain management (SSCM). A sample of 185 industrial suppliers was taken. The information is gathered through a structured questionnaire based on a five-point Likert range and convenience sampling. Six constructs with 31 items are discovered, hypotheses are evaluated using factor analysis, and the model fit is achieved through structural equation modelling (SEM). It is evident that supply chain transparency, flexibility, SCM operation, sustainable haulage, competitiveness, and relative advantage are the positive and major constructs for blockchain technology utilisation (BTU). Thus, modern blockchain technology will positively impact the supply chain of the cement industry since it offers anonymity, security, scalability, and immutability. As a result, blockchain models should be implemented throughout the supply chain, which would benefit all stakeholders. The results also reveal that implementing blockchain in SCM netted novel insights that significantly benefited users, policymakers, and stakeholders. Journal: Int. J. of Logistics Systems and Management Pages: 560-579 Issue: 4 Volume: 48 Year: 2024 Keywords: blockchain technology; BoT; PLS-SEM; supply chain flexibility; sustainable haulage; supply chain management; SCM. File-URL: http://www.inderscience.com/link.php?id=140401 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:4:p:560-579 Template-Type: ReDIF-Article 1.0 Author-Name: Şükrü İmre Author-X-Name-First: Şükrü Author-X-Name-Last: İmre Author-Name: Dilay Çelebi Author-X-Name-First: Dilay Author-X-Name-Last: Çelebi Title: A systematic review of motivators, determinants and parameters for the adoption of electric freight vehicles Abstract: The objective of this article is to contribute to the understanding of factors playing a role in the wider adoption of EFVs in commercial fleets by exploring motivational factors leading to fleet managers adopting EFVs. This exploration is based on a review and analysis of the electric vehicles literature, particularly related to commercial fleets and freight transport. Our study differs from the previous studies by providing a more comprehensive literature review and by identifying the factors impacting systems of EFVs over a two-dimensional framework, including financial, operational and behavioural issues. The highlights of the study are that it provides a comprehensive literature review about the diffusion of electric freight vehicles in commercial fleets, suggests a two-dimensional framework for identifying the factors in adoption of electric freight vehicles in commercial fleets, and gives a summary of factors which is corresponding to the adoption of electric freight vehicles. Journal: Int. J. of Logistics Systems and Management Pages: 534-552 Issue: 4 Volume: 47 Year: 2024 Keywords: electric vehicles; freight transportation; literature review; electric vehicle adoption. File-URL: http://www.inderscience.com/link.php?id=138866 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:4:p:534-552 Template-Type: ReDIF-Article 1.0 Author-Name: Naveen Anand Daniel Author-X-Name-First: Naveen Anand Author-X-Name-Last: Daniel Author-Name: Rahul Sindhwani Author-X-Name-First: Rahul Author-X-Name-Last: Sindhwani Author-Name: Ravinder Kumar Author-X-Name-First: Ravinder Author-X-Name-Last: Kumar Author-Name: K. Mathiyazhagan Author-X-Name-First: K. Author-X-Name-Last: Mathiyazhagan Title: Identifying the drivers and barriers for the implementation of sustainable manufacturing Abstract: Manufacturing units have contributed for the economic growth and development of the country in a significant amount. The success of any organisation depends on its efficient manufacturing performance. As most of the manufacturing units use non-renewable resources of energy which generate large amount of wastes during the processes leading to various types of pollution, it has become essential that the sustainable manufacturing practices are adopted by these units. The present study aims to identify various drivers and barriers for implementation of sustainable manufacturing practices in the manufacturing units across the globe. For this a systematic literature review is carried out where the scholarly work done by the researchers on sustainable manufacturing was analysed, synthesised and critically evaluated. Based on the analysis, the authors have put forward the propositions for drivers and barriers of sustainable manufacturing. Journal: Int. J. of Logistics Systems and Management Pages: 532-559 Issue: 4 Volume: 48 Year: 2024 Keywords: sustainable manufacturing; drivers; barriers; green manufacturing. File-URL: http://www.inderscience.com/link.php?id=140402 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:4:p:532-559 Template-Type: ReDIF-Article 1.0 Author-Name: Leandro Pereira Author-X-Name-First: Leandro Author-X-Name-Last: Pereira Author-Name: Letícia Quental Author-X-Name-First: Letícia Author-X-Name-Last: Quental Author-Name: Renato Lopes da Costa Author-X-Name-First: Renato Lopes da Author-X-Name-Last: Costa Author-Name: Álvaro Dias Author-X-Name-First: Álvaro Author-X-Name-Last: Dias Author-Name: Rui Gonçalves Author-X-Name-First: Rui Author-X-Name-Last: Gonçalves Title: Customer loyalty to the retail pharmacy: present and future of the Portuguese market Abstract: Pharmacies should retain their customers to ensure their sustainability. The most relevant factors for this are store experience, technological evolution, digital presence, portfolio of services and quality of counselling. The analysis of the methodology was carried out by the 'Pereira problem solving research methodology' and with the research goals, it was intended to understand the causes of the lack of loyalty, the trend, loyalty strategies, its benefits, and the impact of the loss of proximity. The results allow us to understand that there is less customer loyalty. The main impact of the loss of proximity is the lack of pharmaceutical advice. The main reason for the lack of loyalty is the greater convenience in making purchases in other places. The best strategy to retain customers is to guarantee the quality of the counselling provided. There are benefits in this loyalty, like a greater knowledge of the customer's consumption history. Journal: Int. J. of Logistics Systems and Management Pages: 92-119 Issue: 1 Volume: 48 Year: 2024 Keywords: pharmacy; customer; engagement; communication; proximity; loyalty. File-URL: http://www.inderscience.com/link.php?id=138867 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:1:p:92-119 Template-Type: ReDIF-Article 1.0 Author-Name: S. Kirutiga Author-X-Name-First: S. Author-X-Name-Last: Kirutiga Author-Name: Bharath Kumar Sridharan Author-X-Name-First: Bharath Kumar Author-X-Name-Last: Sridharan Author-Name: K.S. Balaji Author-X-Name-First: K.S. Author-X-Name-Last: Balaji Author-Name: K. Karthick Author-X-Name-First: K. Author-X-Name-Last: Karthick Author-Name: M.S. Narassima Author-X-Name-First: M.S. Author-X-Name-Last: Narassima Author-Name: S.P. Anbuudayasankar Author-X-Name-First: S.P. Author-X-Name-Last: Anbuudayasankar Title: Sustainable urban planning using green logistics and effective garbage disposal Abstract: Green logistics relates the social, economic, and environmental aspects that form a significant part of the sustainable development model. Considering the aforementioned aspects, the present study examines the use of electric commercial vehicles as part of the 'green' transportation framework that can be utilised for day-to-day garbage disposal in urban areas. The linear programming model approach with a genetic algorithm is used to optimise the routing using MATLAB. This paper applies vehicle routing for garbage disposal through electric vehicles to achieve much greater ecological and financial sustainable development. The model is demonstrated by a real-time case study in a city in Andhra Pradesh, India, to address vehicle routing and waste disposal logistics. The results indicate the benefits of this approach in sustainable planning in terms of placement of charging depots with respect to the traffic, cost-effective routing and the maximum traffic concentration. Journal: Int. J. of Logistics Systems and Management Pages: 411-431 Issue: 4 Volume: 47 Year: 2024 Keywords: green logistics; sustainable cities; green vehicle routing problem; G-VRP; electric commercial vehicles; ECVs. File-URL: http://www.inderscience.com/link.php?id=138869 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:4:p:411-431 Template-Type: ReDIF-Article 1.0 Author-Name: Abhijit Baidya Author-X-Name-First: Abhijit Author-X-Name-Last: Baidya Title: Application of grey number to solve multi-stage supply chain networking model Abstract: The grey number is an indeterminate number that takes the value within an interval under probability. In this paper, taking multiple time periods, multi-stage solid transportation problem (MSSTP) are formulated and solved under crisp and grey environment. The deterministic forms of the grey constraints of the grey model are so obtained taking six different situations of grey inequality. The interval objective function renewed into two different objective functions and these multi-objectives converted into a single-objective using mean-width technique. The models are illustrated with numerical examples and solved using the LINGO.13.0 optimisation solver. Journal: Int. J. of Logistics Systems and Management Pages: 494-518 Issue: 4 Volume: 47 Year: 2024 Keywords: time-varying network; multi-stage transportation; solid transportation problem; STP; grey number. File-URL: http://www.inderscience.com/link.php?id=138873 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:4:p:494-518 Template-Type: ReDIF-Article 1.0 Author-Name: Raj Singh Malik Author-X-Name-First: Raj Singh Author-X-Name-Last: Malik Author-Name: Manoj Kumar Srivastava Author-X-Name-First: Manoj Kumar Author-X-Name-Last: Srivastava Author-Name: Shailendra K. Rai Author-X-Name-First: Shailendra K. Author-X-Name-Last: Rai Author-Name: Imlak Shaikh Author-X-Name-First: Imlak Author-X-Name-Last: Shaikh Title: Identifying and modelling focus and control drivers for transporter's performance in downstream logistics of the Indian oil sector Abstract: The objectives of this research are to develop an integrated model by identifying and classifying the focus and control drivers for transporters' performance in the oil industry of India and establish their contextual relationships using interpretive structural modelling (ISM) and MICMAC analysis. Sequential mix method design is used for the study. The expanding petroleum sector and increased completion in Indian markets, has motivated the oil companies to bring in effectiveness in performance to reduce costs to improve their bottom-line. Down-stream logistics cost, that is cost of delivery of product from terminals depots to the retail network and bulk customers, is in focus and exemplary performing transportation system shall ensure the same. The model designed, shall enable the oil industry management to move from Performance measurement to performance management with clear directions for interventions for exemplary transporters performance as the linkages between the focus and control drivers of transporters performance will help managers to know what is to be focused and how to control and the academicians shall understand the complexity of transporters performance in oil industry in India and instigate them for further research. Journal: Int. J. of Logistics Systems and Management Pages: 468-493 Issue: 4 Volume: 47 Year: 2024 Keywords: transportation; interpretive structural modelling; ISM; performance management; focus drivers; control drivers. File-URL: http://www.inderscience.com/link.php?id=138874 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:4:p:468-493 Template-Type: ReDIF-Article 1.0 Author-Name: Shamine Moganathan Author-X-Name-First: Shamine Author-X-Name-Last: Moganathan Author-Name: Siti Noor Asyikin Mohd Razali Author-X-Name-First: Siti Noor Asyikin Mohd Author-X-Name-Last: Razali Author-Name: Nabeel Naeem Hassan Almaalei Author-X-Name-First: Nabeel Naeem Hassan Author-X-Name-Last: Almaalei Author-Name: Kavikumar Jacob Author-X-Name-First: Kavikumar Author-X-Name-Last: Jacob Title: Comparison of metaheuristic approaches for parcel delivery problem Abstract: Ever since the coronavirus disease-2019 (COVID-19) outbreak, people plump for e-shopping, and it causes the delivery company to receive bulks to be delivered to customers. The complication arises when the delivery man needs to transport parcels to a vast number of houses in a trip. Due to this, they seek the shortest path in the trip to minimise the delivery cost and also the time. Hence, this study aims to scrutinise the shortest path, including runtime because the delivery problem has been categorised as an NP-hard problem. Thus, we proposed two metaheuristic techniques to be compared in this study which are ant-colony optimisation (ACO) and genetic algorithm (GA). In a nutshell, the results show that the GA technique performs better than the ACO technique in terms of distance, price, and runtime for moderate data size, which is less than 50 locations, as there were some enhancements on the methods used. Journal: Int. J. of Logistics Systems and Management Pages: 67-91 Issue: 1 Volume: 48 Year: 2024 Keywords: ant-colony optimisation; ACO; genetic algorithm; delivery problem; comparison; cost; runtime. File-URL: http://www.inderscience.com/link.php?id=138876 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:1:p:67-91 Template-Type: ReDIF-Article 1.0 Author-Name: Khalid Alzoubi Author-X-Name-First: Khalid Author-X-Name-Last: Alzoubi Author-Name: Esraa Abdelall Author-X-Name-First: Esraa Author-X-Name-Last: Abdelall Author-Name: Bahaa Al-Migdady Author-X-Name-First: Bahaa Author-X-Name-Last: Al-Migdady Title: Evaluation of green suppliers in garment industry in Jordan using multi-criteria decision making methods in fuzzy environment Abstract: This study utilises a comprehensive fuzzy multi-criteria decision making (FMCDM) approach to evaluate and select green suppliers considering environmental criteria. In this work, two approaches were used to calculate the weights of environmental criteria used in the evaluation of suppliers; fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS). Seven green criteria and three alternative suppliers were considered in this study. The two methods have revealed that supplier 2 was the most favourable supplier with the highest weighted score. The sensitivity analysis has shown that both FAHP and FTOPSIS produce robust results. However, FTOPSIS method has proven lower variability with fewer computational steps. Journal: Int. J. of Logistics Systems and Management Pages: 120-139 Issue: 1 Volume: 48 Year: 2024 Keywords: fuzzy analytic hierarchy process; FAHP; FTOPSIS; green supply chain; supplier selection; multi-criteria decision making; MCDM; supply chain management. File-URL: http://www.inderscience.com/link.php?id=138877 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:1:p:120-139 Template-Type: ReDIF-Article 1.0 Author-Name: Ilias Vlachos Author-X-Name-First: Ilias Author-X-Name-Last: Vlachos Title: The COVID-19 pandemic impact on supply chains: a systematic literature review Abstract: This study conducts a comprehensive literature review of 259 studies investigating the pandemic impact on supply chain across the globe. This study provides a thematic analysis of the pandemic impact at: 1) countries; 2) sectors (manufacturing, services, maritime); 3) product supply chains (food, pharmaceutical); 4) sustainability (social, environmental). It further uncovers four areas of interest: 1) increased awareness of supply chain vulnerabilities; 2) lack of appropriate supply chain designs; 3) the potential benefits from the right usage of technology; 4) a supply chain paradigm shift on how consumers, companies, and governments perceive supply chains. The study discusses the managerial implications of the pandemic impact. Although there is literature reviews published in this topic to our knowledge, this is the first study that reviews comprehensively the relevant literature from different fields and disciplines. Journal: Int. J. of Logistics Systems and Management Pages: 17-66 Issue: 1 Volume: 48 Year: 2024 Keywords: supply chains; COVID-19; pandemic; impact; literature review. File-URL: http://www.inderscience.com/link.php?id=138878 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:1:p:17-66 Template-Type: ReDIF-Article 1.0 Author-Name: Manpreet Singh Author-X-Name-First: Manpreet Author-X-Name-Last: Singh Author-Name: Vinod Yadav Author-X-Name-First: Vinod Author-X-Name-Last: Yadav Author-Name: Milind K. Sharma Author-X-Name-First: Milind K. Author-X-Name-Last: Sharma Title: Modelling of energy conservation and carbon reduction indicators for the hotel industry Abstract: Recently, environmental issues in the hospitality sector have gained more attention. This study identifies and selects the most relevant energy conservation and carbon reduction (ECCR) indicators for the hospitality industry. The ECCR indicators' interrelationships and priorities assess using an integrated interpretive structural modelling - analytical network process (ISM-ANP) technique. The findings show that the effectiveness of ECCR procedures is primarily determined by indicators such as top management support through delegating responsibility to department heads, energy, water conservation, measurement techniques, and communication with employees. The use of relevant indicators can assist specified hotel operators in working more efficiently in the environmental conservation sector and gaining a competitive advantage. The framework can further help other hotel operators and managers to solve decision-making problems in selecting the right ECCR indicators. Journal: Int. J. of Logistics Systems and Management Pages: 274-290 Issue: 2 Volume: 49 Year: 2024 Keywords: hospitality sector; energy indicators; carbon reduction; environment management; ISM-ANP integrated approach; energy conservation and carbon reduction; ECCR. File-URL: http://www.inderscience.com/link.php?id=141696 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:2:p:274-290 Template-Type: ReDIF-Article 1.0 Author-Name: G. Yoganandan Author-X-Name-First: G. Author-X-Name-Last: Yoganandan Author-Name: M. Vasan Author-X-Name-First: M. Author-X-Name-Last: Vasan Title: Is logistics service quality a pathway to customer loyalty in the international freight forwarding industry? Abstract: This study aims to examine the quality of services rendered by freight forwarders. The respondents of this study comprised 220 regular business to business (B2B) customers of freight forwarders in Chennai. The service quality measurement instrument developed by Parasuraman et al. (1988) was suitably modified and used in this study. The study proved that the dimensions such as tangibles and responsiveness highly influenced the perceived service quality (PeSQ). Also, an attempt was made to find out the inter-relation among the dimensions of PeSQ by using bivariate correlation. It was found that there existed a significant interlink between PeSQ, customer satisfaction (CSAT) and customer loyalty (CL). It indicated that the COVID-19 pandemic scenario and subsequent lockdowns did not affect the service rendered by the freight forwarders. Based on key study findings, we recommend the allocation of more funds for the improvement of logistics infrastructure to deliver enhanced quality services. Journal: Int. J. of Logistics Systems and Management Pages: 1-16 Issue: 1 Volume: 48 Year: 2024 Keywords: customer satisfaction; freight forwarders; logistics services; loyalty; shipping agent; perceived service quality; PeSQ; service quality. File-URL: http://www.inderscience.com/link.php?id=138881 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:1:p:1-16 Template-Type: ReDIF-Article 1.0 Author-Name: Mukesh Kumar Author-X-Name-First: Mukesh Author-X-Name-Last: Kumar Author-Name: Vikas Kumar Choubey Author-X-Name-First: Vikas Kumar Author-X-Name-Last: Choubey Title: Analysis of sustainable performance indicators in dairy supply chain using fuzzy-DEMATEL Abstract: Sustainability has been always a major issue in businesses over the years, as it integrates the triple bottom line goals of the environment, social, and economic aspects. Dairy is an important sector in many nations since it generates a large number of jobs and economic activity. This article identifies key sustainable performance indicators (SPIs) that may be used as a decision-making variable in the assessment of dairy supply chain performance. The fuzzy decision-making trial and evaluation laboratory (DEMATEL) approaches has been utilised to analyse the SPIs. The total supply chain cost is the most significant SPI, with a weightage of 6.32% which is influenced by all indicators. Profit sharing and stakeholder relationship management are regarded as the least significant SPIs, with a weight of 4.28%. The findings might be used to further understand the SPIs along with sustainability measurement. Journal: Int. J. of Logistics Systems and Management Pages: 213-239 Issue: 2 Volume: 49 Year: 2024 Keywords: sustainable dairy supply chain; sustainable performance indicators; SPIs; decision-making trial; evaluation laboratory; DEMATEL. File-URL: http://www.inderscience.com/link.php?id=141697 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:2:p:213-239 Template-Type: ReDIF-Article 1.0 Author-Name: Hakim Lyngstadaas Author-X-Name-First: Hakim Author-X-Name-Last: Lyngstadaas Author-Name: Terje Berg Author-X-Name-First: Terje Author-X-Name-Last: Berg Title: The C-suite of supplier collaboration: a configurational analysis of the how's and why's Abstract: This study empirically investigates how supplier collaboration (SC) can be configured for developing competitive capability. The configurational solutions are classified according to Lejeune and Yakova's (2005) typology of supply chain management and value creation as explanatory channel mechanism. This makes it possible to explain why competitive capabilities are effective. A survey with 159 respondents from the Norwegian manufacturing sector is analysed by using a fuzzy set qualitative comparative analysis. The survey was conducted in 2018. Three types in Lejeune and Yakova's (2005) typology are verified through competitive capability based on product quality, while all four types are verified in competitive capability based on low cost. However, there are several equally effective ways of configuring different types to achieve competitive capabilities. The results may be ascribed and theorised according to different value creation channels. Journal: Int. J. of Logistics Systems and Management Pages: 188-212 Issue: 2 Volume: 49 Year: 2024 Keywords: supply chain management; supplier collaboration; performance; configurational analysis; fuzzy set qualitative comparative analysis; fsQCA; factorial analysis. File-URL: http://www.inderscience.com/link.php?id=141698 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:2:p:188-212 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Said Obeidat Author-X-Name-First: Mohammed Said Author-X-Name-Last: Obeidat Author-Name: Muna K. Beliah Author-X-Name-First: Muna K. Author-X-Name-Last: Beliah Title: The reliability of green supply chain management practices in the printing industry based on the PSI and IPA approaches Abstract: This paper aims to determine the most reliable green supply chain management (GSCM) practices, which could positively affect the environmental performance (EP), and the operational performance (OP) of organisations. The most reliable practice is that of higher level in both its importance and applicability. Seven GSCM practices are evaluated by integrating the preference selection index (PSI) multi criteria decision-making with the importance-performance analysis (IPA) approaches. These GSCM practices were the internal environmental management (IEM), cooperation with customers (CC), green procurement (GP), green manufacturing (GM), green warehousing (GW), green transportation (GT), and waste management (WM). A printing firm in Jordan was selected as a case study. The opinions of several experts were collected. Based on the results of both the PSI and the IPA approaches, the GW and GP GSCM practices were of high contribution to the improvement of the EP and OP in the printing industry. Journal: Int. J. of Logistics Systems and Management Pages: 240-254 Issue: 2 Volume: 49 Year: 2024 Keywords: green supply chain; environmental performance; operational performance; printing industry; preference selection index; PSI; importance-performance analysis; IPA. File-URL: http://www.inderscience.com/link.php?id=141699 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:2:p:240-254 Template-Type: ReDIF-Article 1.0 Author-Name: Abyson Scaria Author-X-Name-First: Abyson Author-X-Name-Last: Scaria Author-Name: Brijesh Paul Author-X-Name-First: Brijesh Author-X-Name-Last: Paul Title: An integrated production and distribution model for the supply of relief kits in flood relief supply chains Abstract: Relief supply chains should provide the relief supplies quickly and efficiently to maximise the survival rate, and hence, the integration of supply chain operations is extremely critical. In this work, we consider a single echelon relief supply chain for the supply of relief kits and model it as an integrated production and outbound distribution scheduling (IPODS) problem. The mixed integer programming model formulated is solved using a mathematical solver to obtain optimal solutions. For realistic sized problems, a heuristically initialised genetic algorithm (HIGA), using a nearest first greedy (NFG) heuristic is proposed. The data from the massive floods that occurred in 2018 in the State of Kerala, India is used to evaluate the model. The proposed new algorithm produces near optimal solutions for the test problems in relatively short computation times and is fast enough to be used interactively in a decision support system. Journal: Int. J. of Logistics Systems and Management Pages: 173-187 Issue: 2 Volume: 49 Year: 2024 Keywords: relief supply chain; integrated production and outbound distribution scheduling; IPODS; nearest first greedy; NFG heuristic; heuristically initialised genetic algorithm; HIGA; decision support system. File-URL: http://www.inderscience.com/link.php?id=141700 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:2:p:173-187 Template-Type: ReDIF-Article 1.0 Author-Name: Zineb Aboutalib Author-X-Name-First: Zineb Author-X-Name-Last: Aboutalib Author-Name: Bruno Agard Author-X-Name-First: Bruno Author-X-Name-Last: Agard Title: Improvement of freight consolidation through a data mining-based methodology Abstract: Freight consolidation is a complex logistics practice supported by a broad spectrum of strategies and methods to improve supply chain cost-effectiveness. It consists of grouping products in a single batch to reduce distribution costs. Literature review revealed that operational research (OR) is typically used for freight consolidation, and their inputs are often aggregated over time. While necessary to accommodate computationally expensive OR algorithms, such data simplifications are responsible for losing valuable data patterns. Our contribution is a novel data mining methodology that uses association rules to leverage data patterns in the context of intermittent demand. Our approach is compared to a typical operational research approach from a literature case study. Simple to implement, our methodology gives good results and can flexibly accommodate and exploit data patterns while being able to scale to a much larger amount of data, making it a more suitable approach for the big data world. Journal: Int. J. of Logistics Systems and Management Pages: 255-273 Issue: 2 Volume: 49 Year: 2024 Keywords: transportation; association rules; cost reduction; data mining; freight consolidation; intermittent data; decision making; logistics; big data; pattern extraction. File-URL: http://www.inderscience.com/link.php?id=141701 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:2:p:255-273 Template-Type: ReDIF-Article 1.0 Author-Name: Kim Yoke Ong Author-X-Name-First: Kim Yoke Author-X-Name-Last: Ong Author-Name: Suhaiza Zailani Author-X-Name-First: Suhaiza Author-X-Name-Last: Zailani Author-Name: Kanagi Kanapathy Author-X-Name-First: Kanagi Author-X-Name-Last: Kanapathy Title: Annotated methodological review of freight logistics supply chain risk management Abstract: The content analysis approach was used in the literature review paper, which focused on freight logistics supply chain risk management. Several aspects of the literature review were investigated and analysed. The goal of the study, years of publishing, journal names or publications, techniques, theories used, country of study, crucial success elements, obstacles and barriers, and article contributions by universities were all thoroughly reviewed. The analysis uncovered ten key findings, including: a high proportion of empirical (survey interview and modelling) based studies in the field of freight logistics supply chain risk management; a lack of empirical validity on the fusion of freight logistics and supply chain risk management; a lack of theoretical based studies, and so on. Journal: Int. J. of Logistics Systems and Management Pages: 145-172 Issue: 2 Volume: 49 Year: 2024 Keywords: freight logistics; logistics; supply chain; supply chain risks; supply chain risk management; SCRM. File-URL: http://www.inderscience.com/link.php?id=141702 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:2:p:145-172 Template-Type: ReDIF-Article 1.0 Author-Name: Sunny Saha Author-X-Name-First: Sunny Author-X-Name-Last: Saha Author-Name: S.S.M. Sadrul Huda Author-X-Name-First: S.S.M. Sadrul Author-X-Name-Last: Huda Author-Name: Nurun Naher Popy Author-X-Name-First: Nurun Naher Author-X-Name-Last: Popy Title: Impact of COVID-19 on supply chain management: a study on the food industry Abstract: Pandemics always have their disastrous impact on global economy. COVID-19 has paralysed the world economy by obstructing supply chain harmony. Considering the food supply chain (SC) which is one of the major sectors of economy, our paper scrutinises the impact of COVID-19 on the different factors (import uncertainty, change of diet, panic buying and long lockdown) that can affect the food products' supply chain of Bangladesh. Numerous scholarly studies were completed on COVID-19 topic. However, no paper tested the impact of COVID-19 on food SC of Bangladesh. This paper will concentrate on the mentioned research gap. In this paper, 250 retailers of food products were surveyed to collect primary data. For analysing the data, the study used SPSS and AMOS. From the analysis, we find all the mentioned factors have direct impact on food SC of Bangladesh. The study can help the concerned business persons in making effective decisions. Journal: Int. J. of Logistics Systems and Management Pages: 519-533 Issue: 4 Volume: 47 Year: 2024 Keywords: COVID-19; food supply chain; supply chain; SC; Bangladesh; import uncertainty; change of diet; panic buying; long lockdown. File-URL: http://www.inderscience.com/link.php?id=138890 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:4:p:519-533 Template-Type: ReDIF-Article 1.0 Author-Name: Priscilla Cristina Cabral Ribeiro Author-X-Name-First: Priscilla Cristina Cabral Author-X-Name-Last: Ribeiro Author-Name: Helder Gomes Costa Author-X-Name-First: Helder Gomes Author-X-Name-Last: Costa Author-Name: Thamires Eis Duarte Author-X-Name-First: Thamires Eis Author-X-Name-Last: Duarte Author-Name: Vítor Meirelles dos Reis Almeida Author-X-Name-First: Vítor Meirelles dos Reis Author-X-Name-Last: Almeida Title: Evaluation of suppliers' performance of a cosmetic company in Brazil Abstract: The outsourcing of manufacturing activities has been used as a vertical disintegration manner that aims to yield advantages like cost reduction and flexibility gains. A problem that arises in this subject is to evaluate the suppliers' performance. In this regard, this study applies modelling to evaluate the performance of contract manufacturing suppliers that produce promotional kits for a multinational company in the cosmetics industry in Brazil by some criteria. To that end, qualitative and quantitative research was conducted with semi-structured interviews in areas of the company that interface with three suppliers, analysing the results by the constructs found in the literature review, and by the software ELECTRE TRI ME. It could be concluded that suppliers had a low evaluation in criteria such as flexibility and that one supplier's performance is considerably lower when compared to the others. We could also identify integration issues between teams. Journal: Int. J. of Logistics Systems and Management Pages: 140-163 Issue: 1 Volume: 48 Year: 2024 Keywords: outsourcing; suppliers' evaluation performance; criteria; contract manufacturing suppliers; Brazil; cosmetics industry; quali-quanti approach; ELECTRE TRI ME. File-URL: http://www.inderscience.com/link.php?id=138894 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:1:p:140-163 Template-Type: ReDIF-Article 1.0 Author-Name: Imane Tronnebati Author-X-Name-First: Imane Author-X-Name-Last: Tronnebati Author-Name: Fouad Jawab Author-X-Name-First: Fouad Author-X-Name-Last: Jawab Title: The impact of green and sustainable supply chain management practices on sustainable performance: a comparative analysis Abstract: The objective of this paper is to provide a comparative analysis of the impact of green supply chain management (GSCM) and sustainable supply chain management (SSCM) practices on sustainable performance (SP) (economic, environmental and social). This analysis will help companies to choose between GSCM and SSCM practices according to their needs. This study has provided a classification of the 16 supply chain (SC) practices influences on the three performances. Another categorisation of GSCM and SSCM practices among 16 SC practices was established based on literature articles. Finally, a comparison was made between the effects of GSCM and SSCM practices on each sustainable performance. The results found a positive relationship between SSCM practices and the three dimensions performance: economic (50%), environmental (34%), and social performance (33%). Moreover, the GSCM practices have a significant impact on the environmental performance (58%) and economic performance (29%), but no influence on social performance was discovered. Journal: Int. J. of Logistics Systems and Management Pages: 267-294 Issue: 3 Volume: 47 Year: 2024 Keywords: green; sustainable; supply chain management; SCM; supply chain; SC; GSCM; SSCM; practices; social; economic; environmental; performance. File-URL: http://www.inderscience.com/link.php?id=136855 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:3:p:267-294 Template-Type: ReDIF-Article 1.0 Author-Name: Elen Yanina Aguirre Rodríguez Author-X-Name-First: Elen Yanina Aguirre Author-X-Name-Last: Rodríguez Author-Name: Elias Carlos Aguirre Rodríguez Author-X-Name-First: Elias Carlos Aguirre Author-X-Name-Last: Rodríguez Author-Name: Aneirson Francisco da Silva Author-X-Name-First: Aneirson Francisco da Author-X-Name-Last: Silva Author-Name: Paloma Maria Silva Rocha Rizol Author-X-Name-First: Paloma Maria Silva Rocha Author-X-Name-Last: Rizol Author-Name: Rafael de Carvalho Miranda Author-X-Name-First: Rafael de Carvalho Author-X-Name-Last: Miranda Author-Name: Fernando Augusto Silva Marins Author-X-Name-First: Fernando Augusto Silva Author-X-Name-Last: Marins Title: Analysis of machine learning integration into supply chain management Abstract: The application of machine learning (ML) techniques in supply chain (SC) processes has been gaining popularity over the last years, because ML significantly helps making the SC faster and more efficient, automatising its processes, improving decision making, and mitigating risks, among other benefits that results in cost savings or more profits. The goal of this work was to analyse the existing studies about the integration of ML into supply chain management (SCM), exploring gaps and trends, from a bibliometric analysis of the articles published. The analysis consisted of assessing the total number of published documents between 2000 and 2020. The main contribution of this research was the identification of significant details about the studies conducted involving the integration of ML and SCM, which will help in the development of new studies in this important area. Journal: Int. J. of Logistics Systems and Management Pages: 327-355 Issue: 3 Volume: 47 Year: 2024 Keywords: machine learning; supply chain management; SCM; classification; trends; gaps. File-URL: http://www.inderscience.com/link.php?id=136856 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:3:p:327-355 Template-Type: ReDIF-Article 1.0 Author-Name: Vahid Ghomi Author-X-Name-First: Vahid Author-X-Name-Last: Ghomi Author-Name: Farnaz Ghazi Nezami Author-X-Name-First: Farnaz Ghazi Author-X-Name-Last: Nezami Author-Name: Sina Shokoohyar Author-X-Name-First: Sina Author-X-Name-Last: Shokoohyar Author-Name: Mina Ghofrani Esfahani Author-X-Name-First: Mina Ghofrani Author-X-Name-Last: Esfahani Title: An optimisation model to increase the cross-dockings operational utilisation Abstract: Introducing a new version of a cross-docking assignment problem when forklifts carry bulk materials, we address an operational solution to reduce the impact of forklifts congestion in centre of terminals. We develop a mixed-integer bilinear programming model, a Tabu-search algorithm, where the main objective of the model is still to minimize the total transshipment costs, and additionally trying to minimize the weighted forklifts travelled distance (WTD) and the weighted unloading/loading labour costs at inbound and outbound doors (WLC). We hypothesize that longer WTD could shift the location of weighted forklift congestion concentration from the centre of the terminal toward the sides. We assuming four cost pattern's distributions, all are supposed to lead high flows to doors with low labour costs, which ultimately impact the total WTD, WLC, and TTC. The proposed Tabu-search outperform CPLEX by finding a set of a diverse and high-quality solution within a reasonable computing time. Journal: Int. J. of Logistics Systems and Management Pages: 356-387 Issue: 3 Volume: 47 Year: 2024 Keywords: cross-docking assignment problem; CDAP; Tabu-search algorithm; optimisations. File-URL: http://www.inderscience.com/link.php?id=136857 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:3:p:356-387 Template-Type: ReDIF-Article 1.0 Author-Name: Deepak Kumar Pathak Author-X-Name-First: Deepak Kumar Author-X-Name-Last: Pathak Author-Name: Ajay Verma Author-X-Name-First: Ajay Author-X-Name-Last: Verma Author-Name: Vimal Kumar Author-X-Name-First: Vimal Author-X-Name-Last: Kumar Title: GSCM barriers to sustainable development in Indian manufacturing organisations: a mixed-method approach Abstract: The objective of this study is to identify the major roadblocks to green supply chain management (GSCM) techniques in order to achieve India's industrial sectors' long-term development goals. MICMAC analysis and an interpretive structural modelling (ISM)-based methodology were utilised to categorise the reciprocal interaction of these identified barriers into four groups. Fifteen significant hurdles have been identified based on previous research and expert comments from industry professionals in order to achieve sustainable development goals in GSCM processes. The findings of this study reveal that, of the 15 barriers identified, the absence of government support systems (AGSS) is the most dependent and influential barrier, while the lack of innovative green practices is the least important barrier. This research also aids in establishing a key foundation for developing a greener manufacturing platform. The findings of the study will aid practitioners, policymakers, and managers in making informed decisions about how to improve the long-term sustainability of Indian manufacturing sectors using GSCM techniques. These GSCM barriers will be implemented with an emphasis on GSCM techniques for a better knowledge of how to prevent significant bottlenecks in today's manufacturing sectors. The uniqueness of this study stems from the necessity of GSCM since most manufacturing companies set up their facilities to be sensitive to economic, social, and environmental changes in order to improve organisational performance. Journal: Int. J. of Logistics Systems and Management Pages: 388-410 Issue: 3 Volume: 47 Year: 2024 Keywords: green supply chain management; GSCM; MICMAC; analysis; driver dependence power analysis; interpretive structural modelling; Indian manufacturing industry. File-URL: http://www.inderscience.com/link.php?id=136858 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:3:p:388-410 Template-Type: ReDIF-Article 1.0 Author-Name: Abdennour Ilyas Benfriha Author-X-Name-First: Abdennour Ilyas Author-X-Name-Last: Benfriha Author-Name: Lamia Triqui-Sari Author-X-Name-First: Lamia Author-X-Name-Last: Triqui-Sari Author-Name: Aimade Eddine Bougloula Author-X-Name-First: Aimade Eddine Author-X-Name-Last: Bougloula Author-Name: Mohammed Bennekrouf Author-X-Name-First: Mohammed Author-X-Name-Last: Bennekrouf Title: Dynamic planning design of three level distribution network with horizontal and vertical exchange Abstract: Inventory management in distribution networks remains a challenging task due to the demand nature and the limited storage capacity. In this work, we study a three-level, a multi-product and a multi-period distribution network consisting of a central warehouse, three distribution centres and six wholesalers. Each of them faces a random demand. In order to optimise the inventory management in the distribution network, we first propose to make a horizontal cooperation between actors of the same level in the form of product exchange; then we propose a second approach based on vertical-horizontal cooperation. Both approaches are modelled as a MIP model and solved using the CPLEX solver. The objective of this study is to analyse the performance in terms of costs, quantities in stock and customer satisfaction. Journal: Int. J. of Logistics Systems and Management Pages: 295-326 Issue: 3 Volume: 47 Year: 2024 Keywords: inventory management; distribution network; supply chain; product exchange; cooperation. File-URL: http://www.inderscience.com/link.php?id=136859 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:3:p:295-326 Template-Type: ReDIF-Article 1.0 Author-Name: Leandro Pereira Author-X-Name-First: Leandro Author-X-Name-Last: Pereira Author-Name: Ricardo Nobre Author-X-Name-First: Ricardo Author-X-Name-Last: Nobre Author-Name: Álvaro Dias Author-X-Name-First: Álvaro Author-X-Name-Last: Dias Author-Name: Renato Lopes da Costa Author-X-Name-First: Renato Lopes da Author-X-Name-Last: Costa Author-Name: Rui Gonçalves Author-X-Name-First: Rui Author-X-Name-Last: Gonçalves Title: Artificial intelligence and project management: exploring the contributions and implications Abstract: With the exponential advancement of technology, most companies are starting to adopt these innovative systems to improve their performance and a major player in this advancement is artificial intelligence (AI). This research explores the application of AI in project resource management in order to understand how this technology can support and improve the management of human and physical resources in projects. The study was conducted through the application of a questionnaire divided into three sections, and it was obtained 127 valid responses with a confidence level of 95%. By taking a sample of professional project managers, it was identified their major difficulties in different project management processes and the main benefits of AI, in particular, the way they manage resources in projects. It was possible to understand that most project managers had relevant difficulties in human resource management and physical resource acquisition; most of them were solved with AI technologies. Journal: Int. J. of Logistics Systems and Management Pages: 432-467 Issue: 4 Volume: 47 Year: 2024 Keywords: artificial intelligence; project management; resource management. File-URL: http://www.inderscience.com/link.php?id=138916 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:4:p:432-467 Template-Type: ReDIF-Article 1.0 Author-Name: Maurício Randolfo Flores da Silva Author-X-Name-First: Maurício Randolfo Flores da Author-X-Name-Last: Silva Author-Name: Enzo Morosini Frazzon Author-X-Name-First: Enzo Morosini Author-X-Name-Last: Frazzon Author-Name: Vanina Macowski Durski Silva Author-X-Name-First: Vanina Macowski Durski Author-X-Name-Last: Silva Title: Design of flexible truck appointment system based on machine learning approach Abstract: Smart ports are adopting Industry 4.0 concepts and technologies so that more efficient and resilient operations emerge. Real-time data acquired from smart technologies can be deployed to anticipate disruptions and to actively manage hinterland port flows. In this context, the flexible rescheduling of truck flows in response to unpredictable circumstances allows for congestion mitigation and reduced cycle time. This paper investigates the literature regarding smart ports, scheduling methods, and machine learning approaches, in order to propose a conceptual model for flexible truck appointment systems, able to consider a continuous stream of real-time data from smart technologies to identify disruptive events and to dynamically reschedule truck appointments, ensuring the synchronisation of hinterland port truck flows. Journal: Int. J. of Logistics Systems and Management Pages: 244-266 Issue: 2 Volume: 48 Year: 2024 Keywords: smart ports; smart logistics system; truck appointment system; TAS; flexible schedule; machine learning. File-URL: http://www.inderscience.com/link.php?id=139958 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:2:p:244-266 Template-Type: ReDIF-Article 1.0 Author-Name: Saleh Fahed Saleh Alkhatib Author-X-Name-First: Saleh Fahed Saleh Author-X-Name-Last: Alkhatib Title: Logistics performance index: internal influential approach Abstract: This study aims to analyse the influencing factors of the logistics performance index (LPI) based on the system theory approach, to further enhance the superb uses of this index to support economic growth and competitiveness. This study constructs the LPI influencing factors system, and then analyses the comprehensive influence degree, causal relationships, and establishes the first LPI influential relationships map using the fuzzy DEMATEL method. This new perspective helps to understand the LPI influencing impact relationships and how each factor affects and affected by the logistics system. International shipment and logistics service quality are the most important factors; infrastructure, logistics service quality, and customs are causal factors. Tracking and tracing, timeliness, and international shipment are effect factors. A new weighting system has been developed and compared with the normal LPI and other studies ranking approaches. New insights for academia, business, and policymakers have been highlighted. Journal: Int. J. of Logistics Systems and Management Pages: 165-194 Issue: 2 Volume: 48 Year: 2024 Keywords: logistics performance index; LPI; fuzzy DEMATEL; logistics factors influential map; logistics and transport policy. File-URL: http://www.inderscience.com/link.php?id=139959 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:2:p:165-194 Template-Type: ReDIF-Article 1.0 Author-Name: Juan Camilo Paz Author-X-Name-First: Juan Camilo Author-X-Name-Last: Paz Author-Name: John Willmer Escobar Author-X-Name-First: John Willmer Author-X-Name-Last: Escobar Author-Name: Rafael Guillermo García-Cáceres Author-X-Name-First: Rafael Guillermo Author-X-Name-Last: García-Cáceres Title: Exact approach for the aggregate production plan problem of machine-dependent production systems by considering stochastic parameters Abstract: This paper considers the variability of specific parameters in the aggregate production plan (APP) problem for machine-dependent production systems. The core issue emerges when assessing the APP's configuration by considering such decisions as the staff size, overtime and subcontracting, and inventory accumulation while reducing the overall production costs. We developed a deterministic mathematical model (MILAPP) and a stochastic mathematical model (SMILAPP) with the minimisation cost as the objective function. The stochastic model's decisions are performed in one stage, considering a penalised objective function for unsatisfied and surplus demand due to demand variation. The stochastic model's solution strategy is referred to as the sample average approximation (SAA). The effectiveness of the proposed approach is tested in the case of a Colombian multinational corporation. The results show that the proposed approach, which considers the predicted contribution of products and the uncertainty of many parameters, is a strong reference for decision support of APP problems. Journal: Int. J. of Logistics Systems and Management Pages: 195-224 Issue: 2 Volume: 48 Year: 2024 Keywords: aggregate production planning; APP; production systems; variability of parameters; sample average approximation; SAA; stochastic linear programming. File-URL: http://www.inderscience.com/link.php?id=139960 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:2:p:195-224 Template-Type: ReDIF-Article 1.0 Author-Name: Nguyen Vu Quynh Nhu Author-X-Name-First: Nguyen Vu Quynh Author-X-Name-Last: Nhu Author-Name: Nguyen Van Hop Author-X-Name-First: Nguyen Van Author-X-Name-Last: Hop Title: New fuzzy subtractive clustering approach: an application of order allocation in e-supply chain system Abstract: This study proposes a so-called new fuzzy subtractive clustering (NFSC) algorithm to allocate orders to the appropriate hub with three criteria, namely, travelling distance, delivery time, order quantity. The main contribution of this paper is that the proposed clustering method improves the previous subtractive clustering algorithm by using mean squared error (MSE) instead of the ratio for accepting or rejecting cluster centres. Besides, the cluster radius is adapted automatically to get the minimum MSE with the fixed cluster centres in advance. A case study of a multinational company in Vietnam is investigated to compare the proposed algorithm with K-means clustering. The obtained results are very promising to give distinction clusters of delivery points. Journal: Int. J. of Logistics Systems and Management Pages: 279-295 Issue: 2 Volume: 48 Year: 2024 Keywords: order allocation; K-means clustering; subtractive clustering. File-URL: http://www.inderscience.com/link.php?id=139961 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:2:p:279-295 Template-Type: ReDIF-Article 1.0 Author-Name: Sebastiano Di Luozzo Author-X-Name-First: Sebastiano Di Author-X-Name-Last: Luozzo Author-Name: Michela Vincenzi Author-X-Name-First: Michela Author-X-Name-Last: Vincenzi Author-Name: Massimiliano M. Schiraldi Author-X-Name-First: Massimiliano M. Author-X-Name-Last: Schiraldi Title: Distribution in the large-scale retail trade industry: requirements for vehicle routing problems Abstract: The purpose of this paper is to outline and establish the characteristics and requirements of vehicle routing problem (VRP) in the large-scale retail trade (LSRT) industry. Characteristics and operational constraints of the VRP for the LSRT industry are described after analysing some variants of the state-of-the-art models in the present literature. Successively, a comprehensive definition for this specific class of problems is provided, along with taxonomy and a new VRP formulation. The research reveals that state-of-the-art VRP models often fail to thoroughly describe real-world LSRT instances, leading to seldomly applicable models. For this reason, the paper provides guidance to design and apply a model for solving real-world transportation problems in the LSRT industry. Hence, our paper establishes requirements and criteria for obtaining a VRP applicable to real-world instances of the LSRT industry. Journal: Int. J. of Logistics Systems and Management Pages: 18-50 Issue: 1 Volume: 47 Year: 2024 Keywords: distribution; logistics; routing; nonlinear programming; retailing. File-URL: http://www.inderscience.com/link.php?id=135889 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:1:p:18-50 Template-Type: ReDIF-Article 1.0 Author-Name: Man Mohan Siddh Author-X-Name-First: Man Mohan Author-X-Name-Last: Siddh Author-Name: Gunjan Soni Author-X-Name-First: Gunjan Author-X-Name-Last: Soni Author-Name: Rakesh Jain Author-X-Name-First: Rakesh Author-X-Name-Last: Jain Author-Name: Milind Kumar Sharma Author-X-Name-First: Milind Kumar Author-X-Name-Last: Sharma Author-Name: Vinod Yadav Author-X-Name-First: Vinod Author-X-Name-Last: Yadav Author-Name: Om Ji Shukla Author-X-Name-First: Om Ji Author-X-Name-Last: Shukla Author-Name: Pravendra Tyagi Author-X-Name-First: Pravendra Author-X-Name-Last: Tyagi Title: Agri-fresh food supply chain quality and organisational sustainability: an empirical investigation Abstract: The purpose of this paper is to cultivate a base for agri-fresh food supply chain quality (AFSCQ) and organisational sustainability (OS) and to present a paradigm that incorporates the effect of AFSCQ practices on AFSCQ and OS. AFSCQ practices were defined from literature survey. These practices were grouped as: upstream side management (USM), logistics management (LM), downstream side management (DSM) and supporting practices like top management leadership (TML) and supply chain coordination using IT (SCCIT). The study promotes an innovative framework for AFSCQ and OS regarding the learning phase. The conceptual model was empirically tested with the help of structural equation modelling (SEM) approach and results provide support to consider the AFSCQ practices as a trustworthy mode for AFSCQ and OS. Journal: Int. J. of Logistics Systems and Management Pages: 125-141 Issue: 1 Volume: 47 Year: 2024 Keywords: sustainability; supply chain quality; food; review; framework; model; blockchain. File-URL: http://www.inderscience.com/link.php?id=135890 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:1:p:125-141 Template-Type: ReDIF-Article 1.0 Author-Name: João Henrique Brunow Barbosa Author-X-Name-First: João Henrique Brunow Author-X-Name-Last: Barbosa Author-Name: Jéssica Salomão Lourenção Author-X-Name-First: Jéssica Salomão Author-X-Name-Last: Lourenção Author-Name: Rodrigo de Alvarenga Rosa Author-X-Name-First: Rodrigo de Alvarenga Author-X-Name-Last: Rosa Title: Planning the fuel distribution in urban centres using multi-compartment trucks under restrictions on the delivery period and the model of the truck Abstract: Distribution companies need to improve their distribution strategies to meet the increasing fuel stations demand, respecting restrictions on the delivery period and on the truck's model, both defined by fuel stations and/or local authorities. Currently, these companies plan one trip per truck and divide the whole distribution region in several small regions, on the other hand, our paper proposes to plan several trips per truck and consider one global distribution region. We propose a mathematical model and an algorithm integrating in the fuel replenishment problem characteristics as: multi-compartment, multi-trip, site dependent, time windows and heterogeneous fleet. Tests were done using data from a Brazilian fuel distribution company. Results showed that planning considering a global distribution region brought financial gains for the company. The access constraint highly impacted the transport costs. Journal: Int. J. of Logistics Systems and Management Pages: 51-81 Issue: 1 Volume: 47 Year: 2024 Keywords: fuel replenishment problem; FRP; city logistics; urban logistics; vehicle routing problem; fuel distribution company; truck transport; management. File-URL: http://www.inderscience.com/link.php?id=135891 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:1:p:51-81 Template-Type: ReDIF-Article 1.0 Author-Name: Rajat Latt Author-X-Name-First: Rajat Author-X-Name-Last: Latt Author-Name: Rajiv Kumar Sharma Author-X-Name-First: Rajiv Kumar Author-X-Name-Last: Sharma Title: A hybrid approach to examine the potential of additive manufacturing to cope with supply chain disruptions during COVID-19 pandemic Abstract: The COVID-19 pandemic has created lots of uncertainties, one of which is dealing with the ripple effect (supply chain disruptions) across multiple industries (like automotive, healthcare, aerospace, etc.). This work proposes a hybrid approach for identifying various enablers across three supply chain decision-making phases (strategic, tactical and operational) that aid in the organisation's implementation of additive manufacturing. The work is divided into three phases: first, the variables are identified through a literature review; second, the questionnaire's validity and reliability are checked; and third, the variables are prioritised using fuzzy entropy and fuzzy technique of order preference by similarity to ideal solution (TOPSIS) methods, which convert linguistic values (obtained via questionnaire survey) to crisp values for the research variable dimensions. The outcomes of this discussion assist managers in making more informed and effective decisions about how to implement additive manufacturing in their organisation in order to minimise supply chain disruptions. Journal: Int. J. of Logistics Systems and Management Pages: 82-104 Issue: 1 Volume: 47 Year: 2024 Keywords: additive manufacturing; supply chain disruptions; fuzzy entropy; fuzzy TOPSIS; strategic; tactical; operational. File-URL: http://www.inderscience.com/link.php?id=135893 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:1:p:82-104 Template-Type: ReDIF-Article 1.0 Author-Name: Youness Frichi Author-X-Name-First: Youness Author-X-Name-Last: Frichi Author-Name: Fouad Jawab Author-X-Name-First: Fouad Author-X-Name-Last: Jawab Title: A review and classification of ambulance deployment and redeployment models in emergencies Abstract: This paper is a literature review of ambulance deployment and redeployment modelling approaches in emergency medical services (EMS): mathematical programming, queuing theory, and simulation. The three approaches are presented and compared, highlighting their applications, advantages, and limitations. Mathematical programming has undergone considerable evolution over the years in a continuous effort to propose models considering stochastic aspects of the environment. Therefore, this paper pays special attention to mathematical models and their solution methods. Queueing and simulation models are descriptive and allow the evaluation of the system performance. Recent trends in modelling tend to combine several approaches, sequentially or iteratively, to take advantage of the benefits of each approach. Journal: Int. J. of Logistics Systems and Management Pages: 1-35 Issue: 1 Volume: 49 Year: 2024 Keywords: emergency medical service; ambulances; deployment; redeployment; modelling; location models; mathematical programming; queuing theory; simulation. File-URL: http://www.inderscience.com/link.php?id=141528 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:1:p:1-35 Template-Type: ReDIF-Article 1.0 Author-Name: Rajiv Kumar Sharma Author-X-Name-First: Rajiv Kumar Author-X-Name-Last: Sharma Title: Conceptual framework to model and analyse the distribution structure decisions in logistics Abstract: The purpose of this research paper is to present a conceptual framework to model and analyse the structural relationship among various dimensions which affect distribution structure decisions in logistics. Based upon the critical scrutiny of literature studies eight dimensions associated with the selection of distribution structure decisions in logistics are identified. These dimensions are validated through questionnaire survey followed by the hypothesis testing using non-parametric statistical tests. The dimensions are used to build the structural relationship model using interpretive structure modelling. From the ISM model it is observed that demand level, service level, logistics cost, and business strategy are placed at the topmost level in the ISM model followed by product characteristics and labour and land availability at middle level and location accessibility, and organisational factors at bottom level of the model. MICMAC analysis depicts the driving and dependence power among the dimensions. Further, based upon fuzzy logic approach the effect of dependent dimensions on the selection of distribution structure is analysed. It is evident from the simulation experiments that the proposed model successfully narrows down the intricacies involved in distribution structure selection. Journal: Int. J. of Logistics Systems and Management Pages: 36-65 Issue: 1 Volume: 49 Year: 2024 Keywords: logistics; distribution networks selection; structural model; supply chain management. File-URL: http://www.inderscience.com/link.php?id=141529 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:1:p:36-65 Template-Type: ReDIF-Article 1.0 Author-Name: Lucas Daniel Del Rosso Calache Author-X-Name-First: Lucas Daniel Del Rosso Author-X-Name-Last: Calache Author-Name: Ana Carolina Bertassini Author-X-Name-First: Ana Carolina Author-X-Name-Last: Bertassini Author-Name: Lauro Osiro Author-X-Name-First: Lauro Author-X-Name-Last: Osiro Author-Name: Luiz Cesar Ribeiro Carpinetti Author-X-Name-First: Luiz Cesar Ribeiro Author-X-Name-Last: Carpinetti Title: Sustainable strategies applied to supply chains: a literature review Abstract: Sustainability in the supply chain becomes strategic for organisations because social pressure has increased about environmental and human rights issues, supply chain risks have become more relevant, and laws about packing and end-of-life products toughened up. Over the years, studies about sustainable supply chain development have increased, in the most varied organisational contexts, but none of the studies present a review of the papers that address sustainable strategic decisions in supply chain issues. Therefore, this study aims to identify the sustainable strategies and strategic actions used in supply chains. A systematic literature review was used as a method to accomplish the research goal. The results highlight the state of the art since the analysed papers were classified according to the research method, year of publication, country, application field, multi-criteria technique applied, sustainable strategies used, and type of data collected. Besides, some opportunities for future studies in the subject are presented. Journal: Int. J. of Logistics Systems and Management Pages: 225-243 Issue: 2 Volume: 48 Year: 2024 Keywords: sustainable strategies; supply chain; decision making; systematic literature review; multi-criteria techniques. File-URL: http://www.inderscience.com/link.php?id=139994 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:2:p:225-243 Template-Type: ReDIF-Article 1.0 Author-Name: Divya Agarwal Author-X-Name-First: Divya Author-X-Name-Last: Agarwal Author-Name: Aditi Sharma Author-X-Name-First: Aditi Author-X-Name-Last: Sharma Title: Optimisation of logistics operations in healthcare systems using predictive data analytics Abstract: Healthcare organisations worldwide are under continuous pressure to provide the best treatment to patients yet keeping in mind the cost of treatment. Predictive analysis is an approach towards the efficient management of logistics where algorithms are performed on the data collected from electronic health records, wearable medical devices or from any trusted sources. Later, optimisation can be done by analysing the result. This would result in positive patient outcomes and ensure the smooth functioning of healthcare systems worldwide without putting extra pressure on them. Importance of predictive data analytics in healthcare and various ways to optimise patient outcomes are discussed in this paper. Journal: Int. J. of Logistics Systems and Management Pages: 82-97 Issue: 1 Volume: 49 Year: 2024 Keywords: predictive data analytics; logistics; healthcare systems; supply chain; operations management; algorithms; optimisation; patient stay; hospital resources; analysis. File-URL: http://www.inderscience.com/link.php?id=141530 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:1:p:82-97 Template-Type: ReDIF-Article 1.0 Author-Name: M. Selvakumar Author-X-Name-First: M. Author-X-Name-Last: Selvakumar Title: Critical assessment of supply chain risk, vulnerability and uncertainties in Indian agriculture during pandemic Abstract: The developing countries are highly dependent on agriculture and agriculture businesses whereas agricultural supply chain in all these countries is facing unpredicted risks due to COVID-19. The objective of this research is to identify the supply chain risk in agriculture business, problems in agriculture supply chain business faced during COVID-19 and to explore the drivers of supply chain sustainability that tackles the supply chain disruptions in India. Based on the purposive sampling method, this paper describes the various factors and risks involved in agriculture supply chain business and the data obtained various districts of Tamil Nadu in India. The results have shown that supply chain risk is measured by six constructors: monetary risk, lack of infrastructure, demand and supply, quality control, climate and food safety risks. COVID-19 highlighted the need for resilient supply chains and sustainable procurement. Direct farmer-consumer connections, smart farming practices, infrastructure investments, and improved financial support are essential for achieving agricultural sustainability. Journal: Int. J. of Logistics Systems and Management Pages: 66-81 Issue: 1 Volume: 49 Year: 2024 Keywords: agriculture business; sustainability; supply chain risks; factor analysis; COVID-19; sustainable procurement. File-URL: http://www.inderscience.com/link.php?id=141531 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:1:p:66-81 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Said Obeidat Author-X-Name-First: Mohammed Said Author-X-Name-Last: Obeidat Author-Name: Oraib AlShraiedeh Author-X-Name-First: Oraib Author-X-Name-Last: AlShraiedeh Author-Name: Dua'a Al-Quran Author-X-Name-First: Dua'a Author-X-Name-Last: Al-Quran Author-Name: Hala Alsliti Author-X-Name-First: Hala Author-X-Name-Last: Alsliti Title: The effects of COVID-19 pandemic on the e-shopping logistics in Jordan Abstract: Since its inception, e-shopping has grown rapidly around the world. People's attitudes about e-shopping have shifted with the COVID-19 pandemic and as a result of the quarantine imposed in countries. This paper explores the relationship between COVID-19 and the resurgence of e-commerce in Jordan. The data were statistically examined and based on the analytical hierarchy process. According to the findings, the most important factors prior to the COVID-19 pandemic were age and bad e-shopping experience. During the pandemic, however, bad experiences in e-shopping remained significant, and people's belief in virus transmission with orders and logistics variable was borderline significant. Furthermore, gender was the main significant factor contributing to the change in the consumer's shopping behaviour during the pandemic. Precisely, females were significantly different than males regarding the change in consumers' shopping behaviour due to the COVID-19 pandemic. Moreover, throughout the pandemic, consumers' preferences were mainly food and grocery products, with a focus on fast delivery. This was not the situation before the pandemic when their primary focus was on high-end products. Journal: Int. J. of Logistics Systems and Management Pages: 123-143 Issue: 1 Volume: 49 Year: 2024 Keywords: e-shopping; COVID-19; decision-making; category data analysis; Jordan. File-URL: http://www.inderscience.com/link.php?id=141532 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:1:p:123-143 Template-Type: ReDIF-Article 1.0 Author-Name: Moema Pereira Nunes Author-X-Name-First: Moema Pereira Author-X-Name-Last: Nunes Author-Name: Dusan Schreiber Author-X-Name-First: Dusan Author-X-Name-Last: Schreiber Author-Name: Guilherme Bergmann Borges Vieira Author-X-Name-First: Guilherme Bergmann Borges Author-X-Name-Last: Vieira Author-Name: Alexandre Querino da Rosa Author-X-Name-First: Alexandre Querino da Author-X-Name-Last: Rosa Title: Innovation in ports - a systematic literature review Abstract: Over time, ports have ceased to be mere cargo handling agents to become key elements and transforming agents. The need for innovation has become fundamental. Given this relevance, port innovation was addressed in this study through a systematic literature review of articles indexed in Scopus database from 2000 to 2021. An initial sample of 212 articles was identified. We applied inclusion and exclusion criteria to analyse the documents. A final sample of 86 articles was selected. We conducted an in-depth analysis of the sample. The analysis indicated that most publications consider the port innovation in a broader way and the container port logistics chain as the main research subjects. However, other emerging port-innovation subjects were also found, such as environmental aspects, personnel development, and skills management. Journal: Int. J. of Logistics Systems and Management Pages: 98-122 Issue: 1 Volume: 49 Year: 2024 Keywords: port; innovation; port innovation; systematic literature review; innovation management; logistics innovation; container; container logistics; technology; port management; innovative environment; environmental concerns; human resources; skills; transport management. File-URL: http://www.inderscience.com/link.php?id=141533 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:49:y:2024:i:1:p:98-122 Template-Type: ReDIF-Article 1.0 Author-Name: Tzong-Ru Lee Author-X-Name-First: Tzong-Ru Author-X-Name-Last: Lee Author-Name: Yenming Chen Author-X-Name-First: Yenming Author-X-Name-Last: Chen Title: Distribution system and logistics centres planning for agricultural products Abstract: This research starts from understanding the demand for agricultural logistics centres of the relevant agricultural entities to define such demand. Moreover, this study aims to employ scientific management methods to determine the appropriate number of regional agricultural logistics centres required to be established, as well as the classification of and cooperation modes for these logistics centres. We also introduce the concept of modern logistics and employ the mathematical planning result as a feasible major direction for adoption and integration into the current logistics system based on the current conditions of specific manufacturers. Furthermore, we recommend the coaching model in discussing the plan of establishing logistics centre systems in agricultural production areas from a realistic perspective. Journal: Int. J. of Logistics Systems and Management Pages: 1-17 Issue: 1 Volume: 47 Year: 2024 Keywords: distribution system; logistics centres; agricultural products; modern logistics; mathematical planning. File-URL: http://www.inderscience.com/link.php?id=135907 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:1:p:1-17 Template-Type: ReDIF-Article 1.0 Author-Name: Angi E. Skhvediani Author-X-Name-First: Angi E. Author-X-Name-Last: Skhvediani Author-Name: Svetlana S. Gutman Author-X-Name-First: Svetlana S. Author-X-Name-Last: Gutman Author-Name: Maria A. Rodionova Author-X-Name-First: Maria A. Author-X-Name-Last: Rodionova Author-Name: Julia A. Perfilova Author-X-Name-First: Julia A. Author-X-Name-Last: Perfilova Title: Being green as an instrument for increasing firm value: case of US transport and logistics companies Abstract: The article investigates the factors that affect the corporate value (Tobin's Q) of 57 US logistics companies. The research considers financial indicators such as ROI, ROTE, P/E ratio, company's operating efficiency, financial leverage, EPS and net income suggestive of a firm's earning capacity and a non-financial dummy variable 'green' which indicates whether a particular logistics company implements green practices and technologies in its operations. The results of the research indicate that there is a positive and significant relationship between Tobin's Q and P/E ratio, ROA and a green indicator. A negative and significant relationship was found between Tobin's Q and ROI and EPS. Also, the article investigated individual interaction effects with the 'green' variable and other financial indicators. The results indicate a negative and significant relationship between Tobin's Q and value of ROTE and EPS of green logistics companies. Journal: Int. J. of Logistics Systems and Management Pages: 105-124 Issue: 1 Volume: 47 Year: 2024 Keywords: green logistics; firm value; sustainable logistics; environment. File-URL: http://www.inderscience.com/link.php?id=135921 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:47:y:2024:i:1:p:105-124 Template-Type: ReDIF-Article 1.0 Author-Name: Hokey Min Author-X-Name-First: Hokey Author-X-Name-Last: Min Author-Name: Sunil Hwang Author-X-Name-First: Sunil Author-X-Name-Last: Hwang Author-Name: Seong-Jong Joo Author-X-Name-First: Seong-Jong Author-X-Name-Last: Joo Title: Blockchain technology for the seafood cold supply chain: lessons from Samsung SDS Abstract: A blockchain technology (BT) has been at the forefront of the latest fourth industrial revolution due to its breakthrough ideas and concepts defying conventional wisdom. The BT is known to bring various potential benefits including safe record keeping, contract fraud detection, asset tracking, secure information processing, and enhanced supply chain visibility. Despite these benefit potentials, the full utilisation of BT for real-world practices has been rarely reported in the literature. To develop specific BT implementation guidelines and create the best-case BT practice, this paper undertook qualitative analysis drawn from the structured observation of a processed seafood company that leveraged BT as an enabler of supply chain visibility. This paper also constructs the BT architecture and reports its implementation outcomes based on the real-world case study. Through this case study, we found that BT enabled the processed seafood company to track every shipment after authenticating its origin and destination. As a result, the enhanced product tracing capability allowed the processed seafood company to identify the potential sources of seafood contamination, poisoning, or spoilage problems thanks to safe record keeping, seafood tracking, secure information processing, and enhanced supply chain visibility. Journal: Int. J. of Logistics Systems and Management Pages: 267-278 Issue: 2 Volume: 48 Year: 2024 Keywords: blockchain technology; cold supply chain; food safety; case study. File-URL: http://www.inderscience.com/link.php?id=140027 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:48:y:2024:i:2:p:267-278