| Title | A novel two-phase group decision-making model for circular supplier selection under picture fuzzy environment |
|---|---|
| ID_Doc | 12177 |
| Authors | Kaya, SK |
| Title | A novel two-phase group decision-making model for circular supplier selection under picture fuzzy environment |
| Year | 2023 |
| Published | Environmental Science And Pollution Research, 30.0, 12 |
| Abstract | Circular supply chain management (CSCM), which incorporates circular thinking into supply chain management, promotes supply chain sustainability by offering a novel and compelling viewpoint. In the CSCM, supplier selection is crucial in establishing a competitive edge among businesses by decreasing environmental degradation and related supply chain expenses. This paper aims to propose a novel two-phase group decision-making approach, which combines the picture fuzzy Analytical Hierarchical Process (PF-AHP) and grey Measurement of Alternatives and Ranking According to Compromise Solution (MARCOS-G) model to select railway material suppliers within the scope of circular economy perspective. In group decision-making, a picture fuzzy number-based approach aggregates individual decision makers'(DMs) opinions and provides a lower level of computing complexity and a higher level of performance. The PF-AHP has been used to produce the weights of the criteria, and the MARCOS-G technique has been used to rank the suppliers and choose the most appropriate one. The results and verification of the novel method are carried out throughout a comprehensive sensitivity analysis. For this purpose, 50 scenarios with changes in the weight values of criteria were developed. In the validation analysis, a comparison with other grey COPRAS, TOPSIS, ARAS and WASPAS methods were performed. Due to the ranking results obtained from Spearman's correlation analyses, the MARCOS-G is almost consistent and it can be seen that the A4 remains the top supplier in all 50 scenarios. |
Similar Articles
| ID | Score | Article |
|---|---|---|
15464
|
Mishra, AR; Rani, P; Pamucar, D; Saha, A An integrated Pythagorean fuzzy fairly operator-based MARCOS method for solving the sustainable circular supplier selection problem(2023) | |
| 14622
|
Bai, L; Garcia, FJS; Mishra, AR Adoption of the sustainable circular supply chain under disruptions risk in manufacturing industry using an integrated fuzzy decision-making approach(2022)Operations Management Research, 15, 3-4 | |
| 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 | |
| 66896
|
Bas, SA A Hybrid Approach Based on Consensus Decision Making for Green Supplier Selection in Automotive Industry(2024)Sustainability, 16, 7 | |
| 1983
|
Zarbakhshnia, N; Govindan, K; Kannan, D; Goh, M Outsourcing logistics operations in circular economy towards to sustainable development goals(2023)Business Strategy And The Environment, 32, 1 | |
| 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 | |
| 2859
|
Xie, ZY; Tian, GX; Tao, YC A Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection in the Circular Economy and Industry 4.0 Era(2022)Sustainability, 14, 24 | |
| 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 | |
| 66873
|
Boutkhoum, O; Hanine, M; Boukhriss, H; Agouti, T; Tikniouine, A Multi-criteria decision support framework for sustainable implementation of effective green supply chain management practices(2016) | |
| 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 |