A DECISION MAKING SUPPORT SYSTEM IN LOGISTICS COOPERATION USING A MODIFIED VIKOR METHOD UNDER AN INTUITUINISTIC FUZZY ENVIRONMENT

Background: This paper proposes a novel hybrid group decision making methodology to solve a coalition-formation problem for cooperative replenishment with multiple firms to achieve operational efficiency. We consider a case of horizontal cooperation between firms, and we investigate the profitability of horizontal cooperation when designing collaborative contracts.

Methods: This study presents the application of a hybrid approach for group decision support for the coalition -formation problem. Multi-criteria decision making (MCDM) and intuitionistic fuzzy set (IFS) theory have been integrated to provide group decision support under consensus achievement. In addition, this study employs the entropy method to identify the weights of the decision makers.

Results: The proposed integrated approach has been further studied through an illustrative example. The decision procedure used here is simply structured so that it may easily be implemented with a computer.

Conclusions: This research may be beneficial to decision makers, researchers and organizations in helping them to understand project based evaluation in order to design and plan better horizontal cooperation.

   A part of this study was presented as oral presentation at the „8th International Logistics Scientific Conference  WSL FORUM 2019” in  Poznan (Poland),    18th-19th of November 2019.