Template-Type: ReDIF-Article 1.0
Author-Name: Deepak Kumar
Author-X-Name-First: Deepak
Author-X-Name-Last: Kumar
Author-Name: G.S. Dangayach
Author-X-Name-First: G.S.
Author-X-Name-Last: Dangayach
Author-Name: P.N. Rao
Author-X-Name-First: P.N.
Author-X-Name-Last: Rao
Title: An experimental investigation to optimise injection moulding process parameters for plastic parts by using Taguchi method and multi-objective genetic algorithm
Abstract:
Plastic injection moulding is a useful method to produce plastic parts with high-quality surface finish. Improper process parameter settings can cause many production troubles namely defective products, reduce dimensional precision and scrap. Thus, determining the optimal processing parameters is regularly performed in injection moulding industry. In this paper, to determine the initial range of process parameters steady state experiments were performed. Taguchi method and multi objective genetic algorithm are used to optimise the process parameters of electric meter box and to reduce its shrinkage and warpage and to enhance its impact strength. For this purpose L<SUB align="right"><SMALL>27</SMALL></SUB> orthogonal array was used. The modified linear graph was used with the line separation method to assign the parameters and interactions to various columns of the orthogonal array. The confirmation experiments show that the errors associated with prediction of shrinkage, warpage and impact strength are 5.11%, 5.91% and 1.171% respectively.
Journal: Int. J. of Process Management and Benchmarking
Pages: 1-26
Issue: 1
Volume: 9
Year: 2019
Keywords: injection moulding; process parameters; Taguchi method; multi-objective genetic algorithm; steady state experiments; modified linear graph; prediction; shrinkage; warpage and impact strength.
File-URL: http://www.inderscience.com/link.php?id=97818
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:1:p:1-26

Template-Type: ReDIF-Article 1.0
Author-Name: Michael Sony
Author-X-Name-First: Michael
Author-X-Name-Last: Sony
Author-Name: Nandakumar Mekoth
Author-X-Name-First: Nandakumar
Author-X-Name-Last: Mekoth
Title: The relationship between workplace spirituality, job satisfaction and job performance
Abstract:
The paper aims to study the impact of four dimensions of workplace spirituality (compassion, meaningful work, mindfulness and transcendence) proposed by Petchsawang and Duchon (2009, 2012) on job satisfaction. The impact of moderating variables like gender, chronological age and work experience is also considered in this research. Finally, job satisfaction is also studied as a mediating variable between workplace spirituality and job performance. A cross-section research was conducted on 262 employees working in western India, which is a non-Western educated industrialised rich democratic (WEIRD) sample. The data is analysed by using structural equation modelling. The research results indicate that there is a positive relationship between various dimensions of workplace spirituality and job satisfaction. These findings deepen the understanding of workplace spirituality, job satisfaction and job performance. This study brings new insights into the noteworthy role spirituality plays in the context of the workplace.
Journal: Int. J. of Process Management and Benchmarking
Pages: 27-46
Issue: 1
Volume: 9
Year: 2019
Keywords: workplace spirituality; job satisfaction; job performance; compassion; mindfulness; meaningful work and transcendence.
File-URL: http://www.inderscience.com/link.php?id=97819
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:1:p:27-46

Template-Type: ReDIF-Article 1.0
Author-Name: Somvir Singh Nain
Author-X-Name-First: Somvir Singh
Author-X-Name-Last: Nain
Author-Name: Dixit Garg
Author-X-Name-First: Dixit
Author-X-Name-Last: Garg
Author-Name: Sanjeev Kumar
Author-X-Name-First: Sanjeev
Author-X-Name-Last: Kumar
Title: Modelling and analysis for the machinability evaluation of Udimet-L605 in wire-cut electric discharge machining
Abstract:
The intention of this research is to examine and analyse the machinability of Udimet-L605 in wire-cut electric discharge machining. The pulse-on time, pulse-off time, peak current, wire tension, spark gap voltage, wire feed have been considered as input variables and two response variables as material removal rate and surface roughness. The four models, such as support vector machine using two different kernels, nonlinear regression and multi-linear regression have been proposed to check the variation among the experimental and predicted consequences. In addition to this, the sensitivity analyses test has been performed on prominent model to examine the influence of input variables on the material removal rate and surface roughness in wire electric discharge machining and epitomised that pulse-on time is the momentous parameter for both material removal rate and surface roughness. The support vector regression based on the polynomial kernel model has conferred enhanced resulting in a contest with other models.
Journal: Int. J. of Process Management and Benchmarking
Pages: 47-72
Issue: 1
Volume: 9
Year: 2019
Keywords: support vector machine; SVM; regression; sensitivity analysis; material removal rate; surface roughness; Udimet-L605.
File-URL: http://www.inderscience.com/link.php?id=97820
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:1:p:47-72

Template-Type: ReDIF-Article 1.0
Author-Name: Alireza Taheri-Moghadam
Author-X-Name-First: Alireza
Author-X-Name-Last: Taheri-Moghadam
Author-Name: Jafar Razmi
Author-X-Name-First: Jafar
Author-X-Name-Last: Razmi
Author-Name: Mohammed Fazle Baki
Author-X-Name-First: Mohammed Fazle
Author-X-Name-Last: Baki
Title: Designing and planning a sustainable supply chain network considering economic aspects, environmental impact, fixed job opportunities and customer service level
Abstract:
In this paper, a sustainable supply chain (SSND) problem is developed which contains economic aspects, environmental issues, social impacts and customer service level. The economic objective is minimising total cost of the whole network (production, transportation, inventory holding/stock-out and investment). CO<SUB align="right"><SMALL>2</SMALL></SUB> emission is considered as environmental issue and the social objective is fixed job opportunities. The customer satisfaction objective contains lead time and stock-out ratio. All of the objectives are in contrast and there is a need for using multi-objective approaches for solving the problem. Normalised normal constraint method is used to capture trade-off between objectives. Simulated numerical examples are considered to evaluate the model and solution approach. Impact of some parameters on customer service level is analysed by sensitivity analysis. The results show that the proposed model performance is acceptable and it can prepare good managerial decisions for real cases by considering four aspects of business environments simultaneously.
Journal: Int. J. of Process Management and Benchmarking
Pages: 73-100
Issue: 1
Volume: 9
Year: 2019
Keywords: sustainable supply chain network design; SSND; multi-objective optimisation; normalised normal constraint; NNC; social impacts; fixed job opportunities; customer service level.
File-URL: http://www.inderscience.com/link.php?id=97821
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:1:p:73-100

Template-Type: ReDIF-Article 1.0
Author-Name: Krishnapriya Vankireddy
Author-X-Name-First: Krishnapriya
Author-X-Name-Last: Vankireddy
Author-Name: Rupashree Baral
Author-X-Name-First: Rupashree
Author-X-Name-Last: Baral
Title: Organisational and inter-organisational competencies for supply chain integration
Abstract:
The purpose of the paper is to integrate human resource management with supply chain management by examining the role of inter-organisational competencies (information sharing) as a mediator between the organisational competencies (cross-functional information sharing, participative culture and learning orientation) and supply chain integration (SCI). To test the hypotheses of interest, data were collected on 80 manufacturing firms from India through a structured questionnaire and analysed using partial least squares (PLS) method. The findings revealed that participative culture and learning orientation were positively related to SCI and were fully and partially mediated by information sharing (IS) respectively. The study provides evidence for linking competencies with SCI in the literature that are otherwise scarce in the form of empirical studies in the context of supply chain. It also succeeds in examining the role of inter-organisational competency as a mediator, thus providing in-depth insights into such competencies. This study is probably one of the first in studying competencies required for SCI in the Indian context.
Journal: Int. J. of Process Management and Benchmarking
Pages: 101-123
Issue: 1
Volume: 9
Year: 2019
Keywords: inter-organisational competencies; organisational competencies; supply chain integration; SCI; India.
File-URL: http://www.inderscience.com/link.php?id=97822
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:1:p:101-123

Template-Type: ReDIF-Article 1.0
Author-Name: Kewal Krishan Nailwal
Author-X-Name-First: Kewal Krishan
Author-X-Name-Last: Nailwal
Author-Name: Deepak Gupta
Author-X-Name-First: Deepak
Author-X-Name-Last: Gupta
Author-Name: Kawal Jeet
Author-X-Name-First: Kawal
Author-X-Name-Last: Jeet
Author-Name: Sameer Sharma
Author-X-Name-First: Sameer
Author-X-Name-Last: Sharma
Title: An improvement heuristic for permutation flow shop scheduling
Abstract:
An improvement heuristic algorithm is proposed in this paper for solving flow shop scheduling problem (<i>F<SUB align="right"><SMALL>m</SMALL></SUB></i> / <i>prmu</i> / <i>C</i><SUB align="right"><SMALL>max</SMALL></SUB>). To test its efficiency, firstly the performance of the proposed algorithm is done against the six heuristics existing in the literature including the best NEH heuristic on 120 Taillard benchmarks. Further, this set of 120 Taillard instances is increased to 266 benchmark problem instances which include Carlier's, some Reeves and some new hard VRF instances from Vallada et al. (2015). On these instances, the performance of the proposed algorithm is tested against the best NEH and the famous CDS heuristic with the best known upper bounds. Further, a brief analysis of the other heuristics and metaheuristics existing in literature is done on Taillard problem instances. The proposed heuristic outperforms all the heuristics reported in this paper.
Journal: Int. J. of Process Management and Benchmarking
Pages: 124-148
Issue: 1
Volume: 9
Year: 2019
Keywords: flow shop scheduling; makespan; heuristic; algorithm.
File-URL: http://www.inderscience.com/link.php?id=97823
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:1:p:124-148

Template-Type: ReDIF-Article 1.0
Author-Name: Mushtaq Taleb
Author-X-Name-First: Mushtaq
Author-X-Name-Last: Taleb
Author-Name: Razamin Ramli
Author-X-Name-First: Razamin
Author-X-Name-Last: Ramli
Author-Name: Ruzelan Khalid
Author-X-Name-First: Ruzelan
Author-X-Name-Last: Khalid
Title: Measuring the efficiency of community colleges using super efficiency approach for the case of non-discretionary factors in data envelopment analysis with sensitivity analysis
Abstract:
Malaysian community colleges play a significant role in achieving Malaysia's vision to be a developed country in 2020. For this reason, their efficiency should appropriately be measured. However, their efficiency measurement using a conventional data envelopment analysis (DEA) model is not appropriate since some of their inputs; e.g., entrant and enrolment students are non-discretionary while a part of output of their graduate employability is discretionary. This paper thus proposes an alternative approach of super efficiency slack-based measure for the case of non-discretionary factors in DEA. The proposed approach was used to evaluate the efficiency of 25 main campuses of Malaysian community colleges from 2012 to 2013. The results support the decision maker of Malaysian community colleges to discriminate and rank efficient and inefficient community colleges in the presence of both super efficiency and non-discretionary factors. The significance of inputs-outputs on efficiency status was tested by sensitivity analysis.
Journal: Int. J. of Process Management and Benchmarking
Pages: 149-172
Issue: 2
Volume: 9
Year: 2019
Keywords: data envelopment analysis; DEA; non-discretionary factors; slack-based measure; SBM; super efficiency.
File-URL: http://www.inderscience.com/link.php?id=99326
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:2:p:149-172

Template-Type: ReDIF-Article 1.0
Author-Name: C.D. Nandakumar
Author-X-Name-First: C.D.
Author-X-Name-Last: Nandakumar
Author-Name: S. Srinivasan
Author-X-Name-First: S.
Author-X-Name-Last: Srinivasan
Author-Name: R. Sathiyamoorthi
Author-X-Name-First: R.
Author-X-Name-Last: Sathiyamoorthi
Title: Optimal reserve inventory from output of one machine to input of two machines when inter-arrival breakdown is a random variable
Abstract:
In this paper, a two stage production process is considered such that there is only one machine <i>M</i><SUB align="right"><SMALL>1</SMALL></SUB> in the first stage and two machines <i>M</i><SUB align="right"><SMALL>2</SMALL></SUB>′, <i>M</i><SUB align="right"><SMALL>2</SMALL></SUB>″ in the second stage. It is assumed that the output of <i>M</i><SUB align="right"><SMALL>1</SMALL></SUB> is the input for <i>M</i><SUB align="right"><SMALL>2</SMALL></SUB>′, <i>M</i><SUB align="right"><SMALL>2</SMALL></SUB>″. During the breakdown time of <i>M</i><SUB align="right"><SMALL>1</SMALL></SUB>, a reserve inventory is suggested for <i>M</i><SUB align="right"><SMALL>2</SMALL></SUB>′, <i>M</i><SUB align="right"><SMALL>2</SMALL></SUB>″, to prevent the idle time, which is costlier. An inventory model is derived here based on certain assumptions to find the optimum size of the reserve inventory of the semi-finished product of the machine <i>M</i><SUB align="right"><SMALL>1</SMALL></SUB> to supply the machines <i>M</i><SUB align="right"><SMALL>2</SMALL></SUB>′, <i>M</i><SUB align="right"><SMALL>2</SMALL></SUB>″ till <i>M</i><SUB align="right"><SMALL>1</SMALL></SUB> resumes the function. Numerical illustrations are provided.
Journal: Int. J. of Process Management and Benchmarking
Pages: 173-192
Issue: 2
Volume: 9
Year: 2019
Keywords: breakdowns; repair time; inventory; change point; SCBZ property; production; shortages.
File-URL: http://www.inderscience.com/link.php?id=99329
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:2:p:173-192

Template-Type: ReDIF-Article 1.0
Author-Name: P. Rajadurai
Author-X-Name-First: P.
Author-X-Name-Last: Rajadurai
Title: A study on M/G/1 preemptive priority retrial queue with Bernoulli working vacations and vacation interruption
Abstract:
This paper deals with steady state analysis of single server priority retrial queue with Bernoulli working vacation, where the regular busy server can be subjected to breakdown and repair. There are two types of customers are considered, which are priority customers and ordinary customers. As soon as orbit becomes empty, the server goes for a working vacation (WV). The server works at a lower service rate during working vacation period. If there are customers in the system at the end of each vacation, the server becomes idle and ready for serving new arrivals with probability p (single WV) or it remains on vacation with probability q (multiple WVs). Using the supplementary variable technique, we obtained the steady state probability generating functions for the system and its orbit. Important system performance measures, the mean busy period and the mean busy cycle are discussed. Finally, some numerical examples are presented.
Journal: Int. J. of Process Management and Benchmarking
Pages: 193-215
Issue: 2
Volume: 9
Year: 2019
Keywords: retrial queue; preemptive priority queue; working vacations; supplementary variable technique.
File-URL: http://www.inderscience.com/link.php?id=99331
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:2:p:193-215

Template-Type: ReDIF-Article 1.0
Author-Name: Sarat Kumar Sahoo
Author-X-Name-First: Sarat Kumar
Author-X-Name-Last: Sahoo
Author-Name: Sunita Singh Naik
Author-X-Name-First: Sunita Singh
Author-X-Name-Last: Naik
Author-Name: Jaydev Rana
Author-X-Name-First: Jaydev
Author-X-Name-Last: Rana
Title: Optimisation of WEDM process parameters during machining of HCHCr steel using TOPSIS method
Abstract:
Wire electrical discharge machining (WEDM) is an advanced non-conventional machining process specifically used for obtaining complex 3D shape objects in hard materials with high accuracy. The present study investigates the effect of various process parameters viz. pulse on time, pulse off time, wire feed and servo voltage on response variables such as cutting speed, material removal rate, kerf width and surface roughness on machining of high carbon high chromium steel. Taguchi's L9 orthogonal array for four factors and three levels has been used for designing the experiment. A novel technique for order preference by similarity to ideal solution (TOPSIS) approach has been applied to select the optimal level of machining parameters. Analysis of variance (ANOVA) has been conducted for investigating the effect of process parameters on overall machining performance. The effectiveness of proposed optimal condition is validated through the confirmatory test. The result of this study highlights that the parameters like pulse on time and servo voltage are significantly influencing to the machining performance.
Journal: Int. J. of Process Management and Benchmarking
Pages: 216-231
Issue: 2
Volume: 9
Year: 2019
Keywords: wire EDM; electrical discharge machining; high carbon high chromium steel; material removal rate; metal cutting; microscopic view; productivity; Taguchi; TOPSIS; ANOVA; multi-response optimisation.
File-URL: http://www.inderscience.com/link.php?id=99332
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:2:p:216-231

Template-Type: ReDIF-Article 1.0
Author-Name: Sanjay Kumar
Author-X-Name-First: Sanjay
Author-X-Name-Last: Kumar
Author-Name: Sunil Luthra
Author-X-Name-First: Sunil
Author-X-Name-Last: Luthra
Author-Name: Abid Haleem
Author-X-Name-First: Abid
Author-X-Name-Last: Haleem
Author-Name: Dixit Garg
Author-X-Name-First: Dixit
Author-X-Name-Last: Garg
Title: Qualitative analysis of drivers of poka-yoke in small and medium enterprises of Indian automobile sector
Abstract:
Poka-yoke has been recognised as a proven approach towards achieving 'error free' environment, especially in manufacturing. In this paper, an attempt has been made to justify importance of poka-yoke in SMEs, identify and analyse important drivers for successful implementation of poka-yoke concept. Literature review methodology has been utilised to identify important drivers for successful implementation of poka-yoke concept in SMEs of Indian automobile. Analytical hierarchy process (AHP) methodology has been used for the ranking of identified drivers. 'Management attitude' driver has been identified as top ranked driver to responsible to implement poka-yoke in Indian automobile SMEs. Further, DEMATEL methodology has also been used to understand and categorise these identified drivers of poka-yoke implementation into cause group and effect group of drivers. This paper may help production engineers and managers to identify errors and further rectify them for gaining competitive advantage over domestic and international automobile market players.
Journal: Int. J. of Process Management and Benchmarking
Pages: 232-249
Issue: 2
Volume: 9
Year: 2019
Keywords: analytical hierarchy process; AHP; decision making trial and evaluation laboratory; DEMATEL; drivers of poka-yoke; Indian automobile industry; poka-yoke; small and medium enterprises; SMEs; India.
File-URL: http://www.inderscience.com/link.php?id=99333
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:2:p:232-249

Template-Type: ReDIF-Article 1.0
Author-Name: Rupal Rautdesai
Author-X-Name-First: Rupal
Author-X-Name-Last: Rautdesai
Author-Name: Ujwal Nandekar
Author-X-Name-First: Ujwal
Author-X-Name-Last: Nandekar
Author-Name: Aditya Kedari
Author-X-Name-First: Aditya
Author-X-Name-Last: Kedari
Author-Name: Yogesh Patil
Author-X-Name-First: Yogesh
Author-X-Name-Last: Patil
Title: Big data and privacy - a legal perspective and comparative study of the USA and India
Abstract:
Due to advancement of science and technology a new concept called big data has emerged. Its utility has attracted not only the private companies and organisations but also governmental authorities. But at the same time it has also raised certain ethical, moral and legal concerns. This paper looks at the threats to individuals privacy caused due to big data. This paper compares the US laws with Indian laws with respect to privacy and data protection and attempts to offer a solution to safeguard individuals' privacy against such threats. The research methodology used by the researchers is doctrinal method along with armchair, exploratory, analytical and comparative method. The authors argue that individuals' privacy can be safeguarded through a holistic approach wherein apt technology standards, management practices along with force of law are adopted. Companies and organisations should adopt self-regulating operating standards and practices too. The concept of privacy in this paper has been restricted to mean the individual privacy and does not include national security concerns or confidential data of corporations. The authors also suggest a framework for the protection of individual privacy and its implementation in India.
Journal: Int. J. of Process Management and Benchmarking
Pages: 250-275
Issue: 2
Volume: 9
Year: 2019
Keywords: big data; privacy laws; data protection; sensitive personal information; right to privacy; USA; India.
File-URL: http://www.inderscience.com/link.php?id=99334
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:2:p:250-275

Template-Type: ReDIF-Article 1.0
Author-Name: Suman Gothwal
Author-X-Name-First: Suman
Author-X-Name-Last: Gothwal
Author-Name: Tilak Raj
Author-X-Name-First: Tilak
Author-X-Name-Last: Raj
Title: A comparative study of multi-criteria decision-making approaches for prioritising the manufacturing systems
Abstract:
Globalisation and modern lifestyle trends have put up tremendous challenges to manufacturing industries. To meet the challenges imposed by today's dynamic market conditions it is the right time for the manufacturing companies to move from traditional manufacturing system to advanced manufacturing system. This paper highlights four areas of manufacturing systems, i.e., humanised flexible manufacturing system (HFMS), flexible manufacturing system (FMS), computer integrated manufacturing (CIM) and computer numerical control (CNC) systems. The purpose of this paper is to provide a framework to proactively select the best manufacturing system. This study is an effort for identifying the factors affecting the manufacturing system and to find out the best manufacturing system. For this purpose a comparative study of multicriteria decision-making approaches, analytic network process (ANP) and analytic hierarchy process (AHP) techniques has been used for prioritisation of alternatives. The shortcomings of the research are stated and future directions are proposed.
Journal: Int. J. of Process Management and Benchmarking
Pages: 277-299
Issue: 3
Volume: 9
Year: 2019
Keywords: measures; humanised flexible manufacturing system; HFMS; flexible manufacturing system; FMS; computer integrated manufacturing; CIM; computer numerical control; CNC; analytic network process; ANP; analytic hierarchy process; AHP.
File-URL: http://www.inderscience.com/link.php?id=100962
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:3:p:277-299

Template-Type: ReDIF-Article 1.0
Author-Name: Alka Arya
Author-X-Name-First: Alka
Author-X-Name-Last: Arya
Author-Name: Shiv Prasad Yadav
Author-X-Name-First: Shiv Prasad
Author-X-Name-Last: Yadav
Title: Development of optimistic and pessimistic models using FDEA to measure performance efficiencies of DMUs
Abstract:
In this paper, we develop optimistic and pessimistic models using fuzzy data envelopment analysis (FDEA). We find the fuzzy optimistic and fuzzy pessimistic efficiencies by using the <i>α</i>-cut method. By using super-efficiency technique, we develop models to obtain the complete ranking of the DMUs when fuzzy optimistic and pessimistic models are considered separately. Further, to rank the DMUs when both fuzzy optimistic and pessimistic models are taken simultaneously as hybrid approach. To address the overall performance using fuzzy optimistic and pessimistic situations together in FDEA, we propose a hybrid FDEA using <i>α</i>-cut efficiencies decision model. Finally, these developed optimistic and pessimistic FDEA models and ranking models are illustrated with two examples. The proposed model is applied to a real world problem of health sector. We determine the performance efficiencies of hospitals in Meerut District, Uttar Pradesh state, India for the calendar year 2013-2014 using the proposed model. Number of health superintendents and number of health workers are taken as input variables, and number of inpatients and number of outpatients as output variables.
Journal: Int. J. of Process Management and Benchmarking
Pages: 300-322
Issue: 3
Volume: 9
Year: 2019
Keywords: hospitals; performance efficiency; optimistic and pessimistic; super-efficiency; fuzzy data envelopment analysis; FDEA.
File-URL: http://www.inderscience.com/link.php?id=100964
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:3:p:300-322

Template-Type: ReDIF-Article 1.0
Author-Name: R. Uthayakumar
Author-X-Name-First: R.
Author-X-Name-Last: Uthayakumar
Author-Name: S. Hemapriya
Author-X-Name-First: S.
Author-X-Name-Last: Hemapriya
Title: Integrated vendor-buyer inventory model in a supply chain with variable lead time and setup cost reduction
Abstract:
The single vendor single-buyer integrated production inventory system has been an object of study for a long time but little is known about the effect of investing in reducing setup cost on the integrated inventory models with variable lead time and production lot size dependent lead time and transportation time. A mathematical model is derived to investigate the effects of setup cost reduction on the integrated inventory system by reducing the total cost system. A numerical example is included to illustrate the results of the model. Finally, graphical representation is presented to illustrate the model. The solution procedure is furnished to determine the optimal solution and the sensitivity analysis has been carried out to illustrate the behaviours of the proposed model.
Journal: Int. J. of Process Management and Benchmarking
Pages: 323-350
Issue: 3
Volume: 9
Year: 2019
Keywords: integrated inventory model; supply chain management; setup cost reduction.
File-URL: http://www.inderscience.com/link.php?id=100965
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:3:p:323-350

Template-Type: ReDIF-Article 1.0
Author-Name: Anuj Singla
Author-X-Name-First: Anuj
Author-X-Name-Last: Singla
Author-Name: I.P.S. Ahuja
Author-X-Name-First: I.P.S.
Author-X-Name-Last: Ahuja
Author-Name: A.P.S. Sethi
Author-X-Name-First: A.P.S.
Author-X-Name-Last: Sethi
Title: Technology push strategies and their consequences on sustainable development in manufacturing industries
Abstract:
The objective behind the review is to have an insight of technology push (TP) activities to escalate the essential capabilities in manufacturing ventures and analyse the experiences of the developed and developing countries. Themes and relevant articles have been identified from the various journals and linked with issues related to technology push for sustainable development in manufacturing industries. The study reveals that adjustment of viable TP strategies may help towards reckoning key skills in the framework of a company. In addition to this, the review emphasises that the TP strategies has significant impact on the sustainable development of the manufacturing industries. It has been observed that the role of TP in manufacturing companies has not been much reported. A synthesis can be established with satisfaction levels of TP strategies, which may help to secure concrete objectives and interests of an organisation. The paper reviews various attributes of TP through a number of publications in this field.
Journal: Int. J. of Process Management and Benchmarking
Pages: 351-376
Issue: 3
Volume: 9
Year: 2019
Keywords: technology push; sustainable development; manufacturing industries; technology management.
File-URL: http://www.inderscience.com/link.php?id=100966
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:3:p:351-376

Template-Type: ReDIF-Article 1.0
Author-Name: Rajeev Kumar
Author-X-Name-First: Rajeev
Author-X-Name-Last: Kumar
Author-Name: Madhawanand Mishra
Author-X-Name-First: Madhawanand
Author-X-Name-Last: Mishra
Title: Simulation analysis of multi-node manufacturing system under design and scheduling strategies
Abstract:
To cater for dynamic and variable performance matrices, manufacturing industries use automation tools and technologies to impart manufacturing flexibility in their processes. To successfully cater for its performance, manufacturing requirements should be designed into the system and then appropriate planning and operational policies need to be followed to support it. This research work validates this using an industrial size flexible manufacturing system (FMS) as a multi-node manufacturing framework having eight machines. While FMS design spectrum is modelled by different levels of its routing flexibility (RF) and number of pallets (NP), planning and operational strategies are implemented through various combinations of dispatching and sequencing rules (DR/SR). This work is a simulation study to evaluate FMS performance for which makes time (MST) and machine utilisation have been used as a performance metric. This research provides a framework for the decision makers in identifying the appropriate levels of routing flexibility, number of pallets and appropriate combination of dispatching and sequencing rules for optimising system performance under a given manufacturing environment.
Journal: Int. J. of Process Management and Benchmarking
Pages: 377-398
Issue: 3
Volume: 9
Year: 2019
Keywords: routing flexibility; sequencing rule; dispatching rule; scheduling strategies; flexible manufacturing system; FMS.
File-URL: http://www.inderscience.com/link.php?id=100967
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:3:p:377-398

Template-Type: ReDIF-Article 1.0
Author-Name: Kamal Kumar Mittal
Author-X-Name-First: Kamal Kumar
Author-X-Name-Last: Mittal
Author-Name: Pramod Kumar Jain
Author-X-Name-First: Pramod Kumar
Author-X-Name-Last: Jain
Author-Name: Dinesh Kumar
Author-X-Name-First: Dinesh
Author-X-Name-Last: Kumar
Title: Optimal sequencing of part families and configuration selection for process improvement in reconfigurable manufacturing system
Abstract:
Reconfigurable manufacturing systems (RMS) are considered as next generation manufacturing systems that are capable of providing the functionality and capacity as and when required. Products are classified into several part families as per customer requirement and each of them are a set of similar products. In a shop floor, the manufacturers have to deal with varied number of orders for multiple part families and after completing the orders of a particular family, they need to change over to the orders of a different part family. Shifting from one part family to another may require the system's reconfiguration, which is a complicated method and requires tremendous cost and efforts. The complexity, effort and cost from changing one configuration to another depends on the existing initial configuration and the new configuration required for subsequent production of orders belonging to a different part family. There are different models available for process improvement. This paper focuses on determining optimal sequencing of part families formation and configuration selection for process improvement in RMS on the basis of minimum loss occurred for a given system configuration. The proposed methodology is explained and an example is given for illustration.
Journal: Int. J. of Process Management and Benchmarking
Pages: 399-417
Issue: 3
Volume: 9
Year: 2019
Keywords: RMS; configuration selection; part family; reconfiguration cost; process; order state.
File-URL: http://www.inderscience.com/link.php?id=100975
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:3:p:399-417

Template-Type: ReDIF-Article 1.0
Author-Name: Anjana Viswanath
Author-X-Name-First: Anjana
Author-X-Name-Last: Viswanath
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: Hybrid genetic algorithm for multi-objective flow shop scheduling problem with sequence dependent setup time: parameter design using Taguchi's robust design method
Abstract:
This paper determines optimal parameters of the proposed hybrid genetic algorithm for solving the multi-objective flow shop scheduling problem with sequence dependent setup time. The objectives considered in this study are minimisation of makespan and mean tardiness. In order to achieve these objectives, genetic algorithm is used in combination with a local search method to obtain Pareto-optimal solutions. The best parameters of the proposed algorithm are determined using the Taguchi's robust design method and the concept of utility index value. The set of parameters corresponding to the highest utility value is selected as the optimal parameters for the proposed algorithm. The analysis of results reveals that crossover type is the most influential parameter. The other parameters in the order of importance are mutation probability, crossover probability, mutation type and initial population. The hybrid genetic algorithm is applied to the benchmark problems of flow shop scheduling with sequence dependent setup time.
Journal: Int. J. of Process Management and Benchmarking
Pages: 419-446
Issue: 4
Volume: 9
Year: 2019
Keywords: permutation flow shop; hybrid genetic algorithm; Taguchi method; utility concept.
File-URL: http://www.inderscience.com/link.php?id=103415
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:4:p:419-446

Template-Type: ReDIF-Article 1.0
Author-Name: Sandhya Dixit
Author-X-Name-First: Sandhya
Author-X-Name-Last: Dixit
Author-Name: Tilak Raj
Author-X-Name-First: Tilak
Author-X-Name-Last: Raj
Title: Quantifying the influence of FMS on the productivity of a firm
Abstract:
The manufacturing organisations adopt flexible manufacturing systems to meet the challenges imposed by today's volatile market standards. An FMS is designed to combine the efficiency of a mass production line and the flexibility of a job shop to produce a variety of products on a group of machines. Productivity is a key factor in a flexible manufacturing system performance. Despite the advantages offered, the implementation of FMS has not been very popular especially in developing countries as it is very difficult to quantify the factors favouring FMS implementation. For its successful implementation, technological considerations, cost justification as well as strategic benefits are to be weighted. Therefore an attempt has been made in the present work to identify and categorise various productivity factors influenced by the implementation of FMS in a firm, further these factors are quantitatively analysed to find their inhibiting strength using graph theoretic approach (GTA). GTA is a powerful approach which synthesises the inter-relationship among different variables or subsystems and provides a synthetic score for the entire system. So using this approach a numerical index is proposed in this work to evaluate and rank the various productivity factors so that the practising managers can have better focus.
Journal: Int. J. of Process Management and Benchmarking
Pages: 447-468
Issue: 4
Volume: 9
Year: 2019
Keywords: manufacturing; flexible manufacturing systems; FMS; productivity; graph theoretic approach; GTA.
File-URL: http://www.inderscience.com/link.php?id=103416
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:4:p:447-468

Template-Type: ReDIF-Article 1.0
Author-Name: Reem Alkadeem
Author-X-Name-First: Reem
Author-X-Name-Last: Alkadeem
Author-Name: Soheir Backar
Author-X-Name-First: Soheir
Author-X-Name-Last: Backar
Author-Name: Heba Haddad
Author-X-Name-First: Heba
Author-X-Name-Last: Haddad
Author-Name: Mohamed Eldardiry
Author-X-Name-First: Mohamed
Author-X-Name-Last: Eldardiry
Title: Project behaviour in different types of project management organisations: a system dynamics approach
Abstract:
Developing new products is a highly dynamic complex process. Managing such dynamic projects is not an easy task. In this research, different scenarios of NPD projects' work systems are examined. The capability of these projects' work systems to deal with the dynamic nature of NPD projects to mitigate the negative impacts of this nature on NPD project' performance. This study shows that, the most suitable organisational work environment for moderate and high complex projects is the highly flexible work system environment. While it is appropriate for low complex projects to provide a formal work system environment. This study tries to use systems dynamic modelling to model the work system characteristics and managerial styles in interaction with projects behaviour. It provides a step towards the understanding of how both work systems characteristics and managerial styles would influence projects performance and their probability of success. It serves as a guide for projects managers suggesting proper ways to better manage different NPD projects with different levels of complexities.
Journal: Int. J. of Process Management and Benchmarking
Pages: 499-521
Issue: 4
Volume: 9
Year: 2019
Keywords: project behaviour; work system design; managerial styles; formality; system dynamics; scenario planning.
File-URL: http://www.inderscience.com/link.php?id=103425
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:4:p:499-521

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Mahdi Nasiri
Author-X-Name-First: Mohammad Mahdi
Author-X-Name-Last: Nasiri
Author-Name: Foruzan Naseri
Author-X-Name-First: Foruzan
Author-X-Name-Last: Naseri
Title: Metaheuristic algorithms for the generalised cell formation problem considering machine reliability
Abstract:
In this paper, we use two metaheuristic algorithms, i.e., artificial bee colony (ABC) and covariance matrix adaptation revolution strategies (CMA-ES), for solving the generalised cell formation problem considering machine reliability. The purpose is to choose the best process routing for each part and to allocate the machines to the manufacturing cells in order to minimise the total cost, which is composed of intracellular movement cost, intercellular movement cost and machines breakdown cost. To evaluate the metaheuristic algorithms, eight numerical examples in three different sizes are solved. The results of the two algorithms are compared with each other and with the results of solving the MIP model. Both the MIP solver and metaheuristics find the optimal solutions for the small size problem instances while by increasing the problem size, metaheuristics show higher performance. The results illustrate that the CMA-ES algorithm outperforms the ABC algorithm in both solution quality and CPU time.
Journal: Int. J. of Process Management and Benchmarking
Pages: 469-484
Issue: 4
Volume: 9
Year: 2019
Keywords: group technology; generalised cell formation problem; reliability; artificial bee colony; ABC; covariance matrix adaptation revolution strategies; CMA-ES.
File-URL: http://www.inderscience.com/link.php?id=103426
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:4:p:469-484

Template-Type: ReDIF-Article 1.0
Author-Name: Shilpy Tayal
Author-X-Name-First: Shilpy
Author-X-Name-Last: Tayal
Author-Name: S.R. Singh
Author-X-Name-First: S.R.
Author-X-Name-Last: Singh
Author-Name: Amit Kumar Attri
Author-X-Name-First: Amit Kumar
Author-X-Name-Last: Attri
Title: Two levels of storage model for deteriorating items, stock dependent demand and partial backlogging with both rented warehouses
Abstract:
In this paper an inventory model for deteriorating items with two warehouses has been developed, where both the warehouses considered are rented. The demand rate for both the warehouses is different. Since the demand for the products increases due to stock up to a certain level and after that it becomes constant. In this model it is assumed that the demand in first warehouse is stock dependent and after that when the extra stock is filled in second warehouse the demand rate becomes constant for that. Due to different storage conditions the deterioration rate is also different in both the warehouse. A numerical example and sensitivity analysis is also presented to illustrate the study. The main objective of this paper is to find out the optimal total cost of the system.
Journal: Int. J. of Process Management and Benchmarking
Pages: 485-498
Issue: 4
Volume: 9
Year: 2019
Keywords: rented warehouses; deterioration; stock dependent demand; partial backlogging; inventory.
File-URL: http://www.inderscience.com/link.php?id=103427
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:4:p:485-498

Template-Type: ReDIF-Article 1.0
Author-Name: Faisal Talib
Author-X-Name-First: Faisal
Author-X-Name-Last: Talib
Author-Name: Mohammad Asjad
Author-X-Name-First: Mohammad
Author-X-Name-Last: Asjad
Title: Prioritisation and selection of non-traditional machining processes and their criteria using analytic hierarchy process approach
Abstract:
In this study, a model is developed using analytic hierarchy process (AHP) methodology to help the process engineers and decision makers in prioritising and ranking the various NTM processes and their criteria identified from literature review and selecting the most appropriate NTM process and its criteria for typical machining process. The methodology also assists in identifying the most significant NTM processes and their criteria that could help the process engineers and decision makers for higher productivity and industry performance. Analysis of the present study shows that NTM process 'based on the source of energy' has ranked at first place followed by 'based on the medium of the energy transfer', 'based on the type of energy used' and 'based on the mechanism of material removal'. Further, the study also prioritised the various NTM processes criteria consisting of 27 criteria. The priority criteria that ranked on top are: voltage, current, ions and ionised particles. The findings of the present study will help process engineers, decision makers and practitioners in selecting the best NTM process and its criteria and then implementing them in their industry for improved performance.
Journal: Int. J. of Process Management and Benchmarking
Pages: 522-546
Issue: 4
Volume: 9
Year: 2019
Keywords: criteria; analytic hierarchy process; AHP; voltage; current; energy; non-traditional machining processes; NTM.
File-URL: http://www.inderscience.com/link.php?id=103429
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:4:p:522-546

Template-Type: ReDIF-Article 1.0
Author-Name: Badr Elwardi
Author-X-Name-First: Badr
Author-X-Name-Last: Elwardi
Author-Name: Anwar Meddaoui
Author-X-Name-First: Anwar
Author-X-Name-Last: Meddaoui
Author-Name: Ahmed En-nhaili
Author-X-Name-First: Ahmed
Author-X-Name-Last: En-nhaili
Author-Name: Ahmed Mouchtachi
Author-X-Name-First: Ahmed
Author-X-Name-Last: Mouchtachi
Title: Towards a new model of industrial performance improvement for SMEs: a case study of TPM implementation in an industrial SME
Abstract:
In a competitive economic environment, manufacturers are forced to face delay, quality and cost challenges. Hence, emergence of lean manufacturing and total productive maintenance (TPM) concepts came to resolve this problem by improving productivity. However, for many manufacturers, especially small and medium-sized enterprises (SME), these concepts remain very difficult to implement and maintain. In this perspective, this work aims at clarifying some failure factors and proposes a model to improve both productivity and performance. This model has been implemented in the plastics industry through a case study relating basic concepts of TPM and management by objectives (MBO). Nevertheless, few research works are interested to develop lean model for manufacturing SMEs. This paper aims to enrich this research axis by an industrial case study in a Moroccan SME. Further researches can exploit the findings of this work in order to implement the proposed model in other industries.
Journal: Int. J. of Process Management and Benchmarking
Pages: 547-561
Issue: 4
Volume: 9
Year: 2019
Keywords: total productive maintenance; TPM; lean manufacturing; key performance indicators; data collection; small and medium-sized enterprises; SMEs.
File-URL: http://www.inderscience.com/link.php?id=103432
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Handle: RePEc:ids:ijpmbe:v:9:y:2019:i:4:p:547-561