Integrated multi-criteria group decision-making model for supplier selection in an uncertain environment

References

• Akcan, S., & Gülde¸s, M. (2019). Integrated multicriteria decision-making methods to solve supplier selection problem: A case study in a hospital. Journal of Healthcare Engineering, Vol. 2019, Article ID 5614892, 1–30. https://doi.org/10.1155/2019/5614892
   Web of Science ®Google Scholar
• Ataei, Y., Mahmoudi, A., Feylizadeh, M. R., & Li, D.-F. (2020). Ordinal priority approach (opa) in multiple attribute decision-making. Applied Soft Computing, 86, 105893. https://doi.org/10.1016/j.asoc.2019.105893
   Web of Science ®Google Scholar
• Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96. https://doi.org/10.1016/S0165-0114(86)80034-3
   Web of Science ®Google Scholar
• Baki, R. (2016) Personnel selection through fuzzy electre i method. The Journal of Macro Trends in Applied Science, 41, 38–54.
   Google Scholar
• Boran, F. E., Genç, S., Kurt, M., & Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with topsis method. Expert Systems with Applications, 36(8), 11363–11368. https://doi.org/10.1016/j.eswa.2009.03.039
   Web of Science ®Google Scholar
• Brahma, A. K., & Mitra, D. K. (2019). Fuzzy ahp and fuzzy vikor approach modelling for flood control project selection. International Journal of Applied Engineering Research, 14(17), 3579–35889, ISSN 0973-4562, http://www.ripublication.com/.
   Google Scholar
• Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9
   Web of Science ®Google Scholar
• Chakraborty, S., Chattopadhyay, R., & Chakraborty, S. (2020). An integrated d-marcos method for supplier selection in an iron and steel industry. Decision Making: Applications in Management and Engineering, 3(2), 49–69. https://doi.org/10.31181/dmame2003049.
   Google Scholar
• Chatterjee, P., & Stevi´c, Ž. (2019). A two-phase fuzzy ahp-fuzzy topsis model for supplier evaluation in manufacturing environment. Operational Research in Engineering Sciences: Theory and Applications, 2(1), 72–90. https://doi.org/10.31181/oresta1901060c.
   Google Scholar
• Ðali´c, I., Stevi´c, Ž., Karamasa, C., & Puška, A. (2020). A novel integrated fuzzy piprecia–interval rough saw model: Green supplier selection. Decision Making: Applications in Management and Engineering, 3(1), 126–145. https://doi.org/10.31181/dmame2003114d.
   Google Scholar
• De Felice, F., Deldoost, M. H., Faizollahi, M., & Petrillo, A. (2015). Performance measurement model for the supplier selection based on ahp. International Journal of Engineering Business Management, 7(Godište 2015), 7–17. https://doi.org/10.5772/61702
   Google Scholar
• De Santis, R. B., Golliat, L., & de Aguiar, E. P. (2017). Multi-criteria supplier selection using fuzzy analytic hierarchy process: Case study from a brazilian railway operator. Brazilian Journal of Operations & Production Management, 14(3), 428–437. https://doi.org/10.14488/BJOPM.2017.v14.n3.a15
   Web of Science ®Google Scholar
• Djunaidi, M., Utami, C. D., Alghofari, A. K., & Munawir, H. (2019). Selection of furniture raw material suppliers using fuzzy analytical hierarchy process. Jurnal Teknik Industri, 20(1), 12–21. https://doi.org/10.22219/JTIUMM.Vol20.No1.12-21
   Google Scholar
• Fazlollahtabar, H., Smailbaši´c, A., & Stevi´c, Ž. (2019). Fucom method in group decision-making: Selection of forklift in a warehouse. Decision Making: Applications in Management and Engineering, 2(1), 49–65. https://doi.org/10.31181/dmame1901065f
   Google Scholar
• Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of dematel. In Battelle Geneva (pp. 1–8). Research Center.
   Google Scholar
• Jing, S., Tang, Y., & Yan, J. (2018). The application of fuzzy vikor for the design scheme selection in lean management. Mathematical Problems in Engineering, Vol. 2018, Article ID 9253643, 1–15. https://doi.org/10.1155/2018/9253643
   Google Scholar
• Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). SELECTION OF RATIONAL DISPUTE RESOLUTION METHOD BY APPLYING NEW STEP-WISE WEIGHT ASSESSMENT RATIO ANALYSIS (SWARA). Journal of Business Economics and Management, 11(2), 243–258. https://doi.org/10.3846/jbem.2010.12
   Web of Science ®Google Scholar
• Kobza, V., Janiš, V., & Montes, S. (2017). Divergence measures on hesitant fuzzy sets. Journal of Intelligent & Fuzzy Systems, 33(3), 1589–1601. https://doi.org/10.3233/JIFS-161430
   Web of Science ®Google Scholar
• Komsiyah, S., Wongso, R., & Pratiwi, S. W. (2019). Applications of the fuzzy electre method for decision support systems of cement vendor selection. Procedia Computer Science,157, 479–488. https://doi.org/10.1016/j.procs.2019.09.003
   Google Scholar
• Kore, M. N. B., Ravi, K., & Patil, A. (2017). A simplified description of fuzzy topsis method for multi criteria decision making. International Research Journal of Engineering and Technology, 4(5), 2047–2050. https://www.irjet.net.
   Google Scholar
• Kumari, R., & Mishra, A. R. (2020). Multi-criteria copras method based on parametric measures for intuitionistic fuzzy sets: Application of green supplier selection. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 44(4), 1645–1662. https://doi.org/10.1007/s40998-020-00312-w
   Web of Science ®Google Scholar
• Liu, J., Liu, P., Liu, S.-F., Zhou, X.-Z., & Zhang, T. (2015). A study of decision process in mcdm problems with large number of criteria. International Transactions in Operational Research, 22(2), 237–264. https://doi.org/10.1111/itor.12102
   Web of Science ®Google Scholar
• Lo, H.-W., Liou, J. J., Wang, H.-S., & Tsai, Y.-S. (2018). An integrated model for solving problems in green supplier selection and order allocation. Journal of Cleaner Production, 190, 339–352. https://doi.org/10.1016/j.jclepro.2018.04.105
   Web of Science ®Google Scholar
• Lu, H., Jiang, S., Song, W., & Ming, X. (2018). A rough multi-criteria decision-making approach for sustainable supplier selection under vague environment. Sustainability, 10(8), 2622. https://doi.org/10.3390/su10082622
   Web of Science ®Google Scholar
• Mahmoudi, A., Sadi-Nezhad, S., & Makui, A. (2016). An extended fuzzy vikor for group decision making based on fuzzy distance to supplier selection. Scientia Iranica, 23(4), 1879–1892. https://doi.org/10.24200/sci.2016.3934
   Web of Science ®Google Scholar
• Mahmoudi, A., Deng, X., Javed, S. A., & Zhang, N. (2021a). Sustainable supplier selection in megaprojects: Grey ordinal priority approach. Business Strategy and the Environment, 30(1), 318–339. https://doi.org/10.1002/bse.2623
   Web of Science ®Google Scholar
• Mahmoudi, A., Javed, S. A., & Mardani, A. (2021b). Gresilient supplier selection through fuzzy ordinal priority approach: Decision-making in post-covid era. Operations Management Research, 1–25. https://doi.org/10.1007/s12063-021-00178-z
   Google Scholar
• Mishra, A. R., & Rani, P. (2021). Assessment of sustainable third party reverse logistic provider using the single-valued neutrosophic combined compromise solution framework. Cleaner and Responsible Consumption, 2, 100011. https://doi.org/10.1016/j.clrc.2021.100011
   Google Scholar
• Mishra, A. R., Rani, P., Pardasani, K. R., & Mardani, A. (2019). A novel hesitant fuzzy waspas method for assessment of green supplier problem based on exponential information measures. Journal of Cleaner Production, 238(20), 117901. https://doi.org/10.1016/j.jclepro.2019.117901
   Google Scholar
• Mishra, A. R., Rani, P., Krishankumar, R., Zavadskas, E. K., Cavallaro, F., & Ravichandran, K. S. (2021). A hesitant fuzzy combined compromise solution framework-based on discrimination measure for ranking sustainable third-party reverse logistic providers. Sustainability, 13(4), 2064. https://doi.org/10.3390/su13042064
   Web of Science ®Google Scholar
• Pamuˇcar, D., Stevi´c, Ž., & Sremac, S. (2018). A new model for determining weight coefficients of criteria in mcdm models: Full consistency method (fucom). Symmetry, 10(9), 393. https://doi.org/10.3390/sym10090393
   Google Scholar
• Panchal, D., Chatterjee, P., Pamucar, D., & Yazdani, M. (2021). A novel fuzzy-based structured framework for sustain- able operation and environmentally friendly production in coal-fired power industry. International Journal of Intelligent Systems, 2022(37), 2706–2738. https://doi.org/10.1002/int.22507
   Google Scholar
• Petrovi´c, G., Mihajlovi´c, J., C´ojbaši´c, Ž., Madi´c, M., & Marinkovi´c, D. (2019). Comparison of three fuzzy MCDM methods for solving the supplier selection problem. Facta Universitatis, Series: Mechanical Engineering, 17(3), 455–469. https://doi.org/10.22190/FUME190420039P
   Web of Science ®Google Scholar
• Quan, J., Zeng, B., & Liu, D. (2018). Green supplier selection for process industries using weighted grey incidence decision model. Complexity, 2018, Article ID 4631670, 1–12. https://doi.org/10.1155/2018/4631670
   Google Scholar
• Rani, P., Mishra, A. R., Krishankumar, R., Mardani, A., Cavallaro, F., Soundarapandian Ravichandran, K., & Bala- Subramanian, K. (2020). Hesitant fuzzy swara-complex proportional assessment approach for sustainable supplier selection (hf-swara-copras). Symmetry, 12(7), 1152. https://doi.org/10.3390/sym12071152
   Google Scholar
• Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega,53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009
   Web of Science ®Google Scholar
• Rezaei, J., Nispeling, T., Sarkis, J., & Tavasszy, L. (2016). A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method. Journal of Cleaner Production, 135, 577–588. https://doi.org/10.1016/j.jclepro.2016.06.125
   Web of Science ®Google Scholar
• Saaty, T. (1980). The analytic hierarchy process.McGraw-Hill, New York.
   Google Scholar
• Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. J. (2011). A fuzzy vikor method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160–12167. https://doi.org/10.1016/j.eswa.2011.03.027
   Web of Science ®Google Scholar
• Shu, M.-H., Cheng, C.-H., & Chang, J.-R. (2006). Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly. Microelectronics Reliability, 46(12), 2139–2148. https://doi.org/10.1016/j.microrel.2006.01.007
   Web of Science ®Google Scholar
• Silalahi, A., Sukwadi, R., Pramesjwari, D. A. H., Wahyu, C., & Oktavia, C. N. (2019). Integrated analytic hierarchy process and mixed integer programming for supplier selection in mold and dies industry. Jurnal Sistem Dan Manajemen Industri, 3(2), 124–133. https://doi.org/10.30656/jsmi.v3i2.1765
   Google Scholar
• Stevi´c, Ž., Stjepanovi´c, Ž., Božiˇckovi´c, Z., Das, D. K., & Stanujki´c, D. (2018). Assessment of conditions for implementing information technology in a warehouse system: A novel fuzzy piprecia method. Symmetry, 10(11), 586. https://doi.org/10.3390/sym10110586
   Google Scholar
• Stevi´c, Ž., Pamuˇcar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new mcdm method: Measurement of alternatives and ranking according to compromise solution (marcos). Computers & Industrial Engineering, 140, 106231. https://doi.org/10.1016/j.cie.2019.106231
   Web of Science ®Google Scholar
• Van, L. H., Yu, V. F., Dat, L. Q., Dung, C. C., Chou, S.-Y., & Loc, N. V. (2018). New integrated quality function deployment approach based on interval neutrosophic set for green supplier evaluation and selection. Sustainability, 10(3), 838. https://doi.org/10.3390/su10030838
   Web of Science ®Google Scholar
• Yazdani, M., Chatterjee, P., Pamucar, D., & Abad, M. D. (2019a). A risk-based integrated decision-making model for green supplier selection: A case study of a construction company in Spain. Kybernetes, 49(4), 1229–1252. https://doi.org/10.1108/K-09-2018-0509
   Web of Science ®Google Scholar
• Yazdani, M., Gonzalez, E. D., & Chatterjee, P. (2019b). A multi-criteria decision-making framework for agriculture supply chain risk management under a circular economy context. Management Decision, 59(8), 1–27. Emerald Publishing Limited. https://doi.org/10.1108/MD-10-2018-1088
   Web of Science ®Google Scholar
• Yazdani, M., Torkayesh, A. E., & Chatterjee, P. (2020). An integrated decision-making model for supplier evaluation in public healthcare system: The case study of a spanish hospital. Journal of Enterprise Information Management, 33(5), 965–989. https://doi.org/10.1108/JEIM-09-2019-0294
   Web of Science ®Google Scholar
• Yazdani, M., Pamucar, D., Chatterjee, P., & Torkayesh, A. E. (2021a). A multi-tier sustainable food supplier selection model under uncertainty. Operations Management Research,1–30. https://doi.org/10.1007/s12063-021-00186-z.
   Google Scholar
• Yazdani, M., Torkayesh, A. E., Stevi´c, Ž., Chatterjee, P., Ahari, S. A., & Hernandez, V. D. (2021b). An interval valued neutrosophic decision-making structure for sustainable supplier selection. Expert Systems with Applications, 183, 115354. https://doi.org/10.1016/j.eswa.2021.115354
   Web of Science ®Google Scholar
• Zavadskas, E. K., Turskis, Z., Stevi´c, Ž., & Mardani, A. (2020). Modelling procedure for the selection of steel pipes sup- plier by applying fuzzy ahp method. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 39–53. https://doi.org/10.31181/oresta2003034z
   Google Scholar
• Zeydan, M., Çolpan, C., & Çobanog˘lu, C. (2011). A combined methodology for supplier selection and performance evaluation. Expert Systems with Applications, 38(3), 2741–2751. https://doi.org/10.1016/j.eswa.2010.08.064
   Web of Science ®Google Scholar
• Žižovi´c, M., & Pamucar, D. (2019). New model for determining criteria weights: Level based weight assessment (lbwa) model. Decision making: Applications in management and. Engineering, 2(2), 126–137. https://doi.org/10.31181/dmame1902102z.
   Google Scholar