| Title | A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry |
|---|---|
| ID_Doc | 76461 |
| Authors | Akhtar, M; Gunasekaran, A; Kayikci, Y |
| Title | A novel stochastic fuzzy decision model for agile and sustainable global manufacturing outsourcing partner selection in footwear industry |
| Year | 2023 |
| Published | Journal Of Enterprise Information Management, 36, 4 |
| Abstract | 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. |
| https://shura.shu.ac.uk/31699/1/JEIM-12-2021-0537.R2_Proof_hi.pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
75104
|
Kao, JC; Wang, CN; Nguyen, VT; Husain, ST A Fuzzy MCDM Model of Supplier Selection in Supply Chain Management(2022)Intelligent Automation And Soft Computing, 31, 3 | |
| 75252
|
Wang, CN; Nguyen, TL; Dang, HT Two-Stage Fuzzy MCDM for Green Supplier Selection in Steel Industry(2022)Intelligent Automation And Soft Computing, 33, 2 | |
| 22528
|
Ali, H; Zhang, JW; Shoaib, M A hybrid approach for sustainable-circular supplier selection based on industry 4.0 framework to make the supply chain smart and eco-friendly(2024)Environment Development And Sustainability, 26.0, 9 | |
| 17013
|
Liu, C; Rani, P; Pachori, K Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach(2022)Journal Of Enterprise Information Management, 35, 4/5 | |
| 75267
|
Saputro, TE; Rosiani, TY; Mubin, A; Dewi, SK; Baroto, T Green supplier selection under supply risks using novel integrated fuzzy multi-criteria decision making techniques(2024) | |
| 76346
|
Büyükselçuk, EÇ; Tozan, H; Vayvay, Ö A Multi-Criteria Decision-Making Approach For Greenovative Supplier Selection(2022)International Journal Of Industrial Engineering-Theory Applications And Practice, 29, 2 | |
| 69342
|
Kara, K; Acar, AZ; Polat, M; Önden, I; Yalcin, GC Developing a hybrid methodology for green-based supplier selection: Application in the automotive industry(2024) | |
| 32828
|
Alrasheedi, M; Mardani, A; Mishra, AR; Rani, P; Loganathan, N An extended framework to evaluate sustainable suppliers in manufacturing companies using a new Pythagorean fuzzy entropy-SWARA-WASPAS decision-making approach(2022)Journal Of Enterprise Information Management, 35, 2 | |
| 66896
|
Bas, SA A Hybrid Approach Based on Consensus Decision Making for Green Supplier Selection in Automotive Industry(2024)Sustainability, 16, 7 | |
| 75493
|
Fallahpour, A; Nayeri, S; Sheikhalishahi, M; Wong, KY; Tian, GD; Fathollahi-Fard, AM A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry(2021) |