Abstract

Nowadays, sustainable supply chain management (SSCM) has received considerable attention because of strict government requirements and increased pressure from the public. In the SSCM, selecting suitable suppliers plays a significant role in improving the overall sustainability performance of a company. Therefore, this article aims to develop a modified VIKOR (in Serbian: VlseKriterijumska Optimizacija I Kompromisno Resenje) technique for sustainable supplier evaluation and selection, that uses ordered weighted distance operators in the aggregation of picture fuzzy information. Concretely, we first propose the picture fuzzy-ordered weighted standardized distance (PFOWSD) operator and the picture fuzzy Euclidean-ordered weighted standardized distance (PFEOWSD) operator, and extended them by using the hybrid average operator. Then, we develop a sustainable supplier selection approach by combining the picture fuzzy distance operators and the VIKOR method. The new approach can manipulate attitudinal character of the classical VIKOR method, so that a decision maker can take decisions according to his or her preference. Further, by using the PFOWSD operator, one can parametrize the VIKOR method from the maximum to the minimum result. Thus, the information obtained using the new sustainable supplier selection approach is much more complete. Finally, a practical case example in the beef supply chain is given to explain the proposed picture fuzzy-ordered weighted distance (PFOWD)-VIKOR model, and the results are compared with current relevant representative approaches to verify its feasibility and superiority.

Highlights

  • In the competitive global marketplace, companies have started to look after sustainability issues throughout their supply chain activities because of strict environmental legislation, scarcity of natural resources, and growing consumer awareness of environmental issues [1,2]

  • The fundamental characteristic of the picture fuzzy-ordered weighted distance (PFOWD)-VIKOR technique is that it calculates the separation measures from the best and the worst values with the developed distance operators, and the sustainable supplier selection problem can be addressed by the decision maker according to more complete information

  • The process to follow in evaluating sustainable suppliers with the PFOWD-VIKOR approach is based on the procedure developed in [15,51], with the differences that the criteria values are given in the form of picture fuzzy number (PFN) and the separation measures are calculated with the picture fuzzy-ordered weighted standardized distance (PFOWSD) operator

Read more

Summary

Introduction

In the competitive global marketplace, companies have started to look after sustainability issues throughout their supply chain activities because of strict environmental legislation, scarcity of natural resources, and growing consumer awareness of environmental issues [1,2] Organizations are expecting their suppliers or partners to boost up sustainability in their collective work. The fundamental characteristic of the PFOWD-VIKOR technique is that it calculates the separation measures from the best and the worst values with the developed distance operators, and the sustainable supplier selection problem can be addressed by the decision maker according to more complete information.

Literature Review
Picture Fuzzy Sets
The OWAD Operator
Picture Fuzzy Distance Operators
The Proposed Approach for Sustainable Supplier Selection
Acceptable stability in decision making
Case Study
Background Description
Implementation Results
Managerial Implications
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.