A Multi-Criteria Decision Approach to Select Contract Manufacturer for Sustainable Development of Automotive Products: an Integrated Framework

Singh, Prashant Kumar; Sarkar, Prabir

doi:10.1007/s41660-021-00181-8

Cited by 4 publications

(2 citation statements)

References 51 publications

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“…Wang et al (2019b) proposed a clustering and searching model of a web outsourcing service based on Ontology Web Language for Services and an ANN and improved Shuffled Frog Leaping Algorithm for cement equipment manufacturing outsourcing in cloud manufacturing. Singh and Sarkar (2021) applied integrated AHP and VIKOR method for sustainable contract manufacturer selection in automotive industry. Wang et al (2021) adopted F-AHP, F-TOPSIS and DEA for manufacturing outsourcing selection in apparel and textile SC.…”

Section: Outsourcing Partner Selection Criteriamentioning

confidence: 99%

A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry

Akhtar

Gunasekaran

Kayıkçı

2023

JEIM

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PurposeThe decision-making to outsource and select the most suitable global manufacturing outsourcing partner (MOP) is complex and uncertain due to multiple conflicting qualitative and quantitative criteria as well as multiple alternatives. Vagueness and variability exist in ratings of criteria and alternatives by group of decision-makers (DMs). The paper provides a novel Stochastic Fuzzy (SF) method for evaluation and selection of agile and sustainable global MOP in uncertain and volatile business environment.Design/methodology/approachFour main selection criteria for global MOP selection were identified such as economic, agile, environmental and social criteria. Total 16 sub-criteria were selected. To consider the vagueness and variability in ratings by group of DMs, SF method using t-distribution or z-distribution was adopted. The criteria weights were determined using the Stochastic Fuzzy-CRiteria Importance Through Intercriteria Correlation (SF-CRITIC), while MOP selection was carried out using Stochastic Fuzzy-VIseKriterijumskaOptimizacija I KompromisnoResenje (SF-VIKOR) in the case study of footwear industry. Sensitivity analysis was performed to test the robustness of the proposed model. A comparative analysis of SF-VIKOR and VIKOR was made.FindingsThe worker’s wages and welfare, product price, product quality, green manufacturing process and collaboration with partners are the most important criteria for MOP selection. The MOP3 was found to be the best agile and sustainable global MOP for the footwear company. In sensitivity analysis, significance level is found to have important role in MOP ranking. Hence, the study concluded that integrated SF-CRITIC and SF-VIKOR is an improved method for MOP selection problem.Research limitations/implicationsIn a group decision-making, ambiguity, impreciseness and variability are found in relative ratings. Fuzzy variant Multi-Criteria Decision-Making methods cover impreciseness in ratings but not the variability. On the other hand, deterministic models do not cover either. Hence, the stochastic method based on the probability theory combining fuzzy theory is proposed to deal with decision-making problems in imprecise and uncertain environments. Most notably, the proposed model has novelty as it captures and reveals both the stochastic perspective and the fuzziness perspective in rating by group of DMs.Practical implicationsThe proposed multi-criteria group decision-making model contributes to the sustainable and agile footwear supply chain management and will help the policymakers in selecting the best global MOP.Originality/valueTo the best of the authors’ knowledge, SF method has not been used to select MOP in the existing literature. For the first time, integrated SF-CRITIC and SF-VIKOR method were applied to select the best agile and sustainable MOP under uncertainty. Unlike other studies, this study considered agile criteria along with triple bottom line sustainable criteria for MOP selection. The novel method of SF assessment contributes to the literature and put forward the managerial implication for improving agility and sustainability of global manufacturing outsourcing in footwear industry.

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Section: Outsourcing Partner Selection Criteriamentioning

confidence: 99%

A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry

Akhtar

Gunasekaran

Kayıkçı

2023

JEIM

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“…To determine priority rankings using a multi-criteria decision-making method, since the input to make a decision is based on human perception, their consistencies should be verified through sensitivity analysis (Prakash and Barua, 2016; Singh and Sarkar, 2021). Sensitivity analysis is therefore used to evaluate the influence of the change in weight of the disaster preparedness criteria against the sequence of the priority ranking choice (Ahmadi et al ., 2017).…”

Section: Integrating Statistical Variance and Piv – The Proposed Modelmentioning

confidence: 99%

Disaster readiness assessment model using integrated statistical variance and proximity value index

Sutrisno

Wuisang

Yusupa

2023

IJES

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PurposeThe regular occurrence of natural disasters elevates the need for an effective method to measure organizational preparedness in responding to the adverse impact of disasters. In this context, this paper presents a new decision support model to assess organizational disaster preparedness using both subjective and objective disaster preparedness criteria in a multi-criteria decision-making context.Design/methodology/approachThe statistical variance method is integrated with the proximity value index (PVI) technique to determine priority scores in order to rank organizational disaster readiness.FindingsThe results of applying the integrated model developed herein enable decision-makers to make informed decisions for assigning priority ranking of organizational disaster preparedness in a simpler and more efficient way.Research limitations/implicationsHuman resource is the most impacting criterion affecting hospital preparedness in undertaking action to cure disaster victims.Practical implicationsThis paper offers an exemplar of a simple and efficient decision-making process considering the subjectivity associated with decision-making as well as the objectivity of data used for determining the priority ranking of organizational disaster preparedness.Originality/valueIntegrating statistical variance method with the PVI technique is novel and it has not been presented in previous studies. In fact, this study is the first to integrate both methods for selecting the priority ranking of organizational disaster preparedness.

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Prioritisation of criteria for sustainable and agile global manufacturing outsourcing partner selection using simulation based stochastic fuzzy PIPRECIA method

Akhtar

2023

Prod.

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Paper aims:To develop an effective and novel decision making method to assess the strategic priority of the criteria for sustainable and agile global manufacturing outsourcing partner (GOP) selection Originality:The PIPRECIA Simplified method using random number based stochastic and triangular fuzzy number is applied for setting priority of the GOP selection criteria Research method: Sustainable and agile criteria were adopted for global manufacturing outsourcing partner selection from the literature review and discussion with industry experts. Criteria weight and strategic priority was determined using a novel stochastic fuzzy PIPRECIA Simplified method using triangular fuzzy number and random number based uniform distribution of each criterion minimum-maximum ratings. This method will overcome the impreciseness, uncertainty and randomness in subjective group rating.Main findings: Customer driven innovation, worker's training and career development, multi-skilled and flexible workforce, delivery flexibility, collaboration with partners, green manufacturing process, and worker's occupational health and safety are found to be the most important criteria in GOP selection in footwear industry. Main criteria in decreasing order of strategic priority are agile, social, environmental and economic.Implications for theory and practice: The proposed novel method was applied with a case study of footwear industry to determine the criteria weight and priority, which will enhance supply chain agility and sustainability. The managers in the footwear industry can use the agile and sustainable criteria and proposed method easily.

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A Multi-Criteria Decision Approach to Select Contract Manufacturer for Sustainable Development of Automotive Products: an Integrated Framework

Cited by 4 publications

References 51 publications

A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry

A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry

Disaster readiness assessment model using integrated statistical variance and proximity value index

Prioritisation of criteria for sustainable and agile global manufacturing outsourcing partner selection using simulation based stochastic fuzzy PIPRECIA method

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