Title of article :
Sustainable supplier selection and order allocation: An integrated delphi method, fuzzy TOPSIS, and multi-objective programming model
Author/Authors :
Rabieh, M. Faculty of Management and Accounting - Shahid Beheshti University, Tehran, Iran , Fadaei Rafsanjani, A. Faculty of Management and Accounting - Shahid Beheshti University, Tehran, Iran , Babaei, L. Faculty of Management and Accounting - Shahid Beheshti University, Tehran, Iran , Esmaeili, M. Faculty of Management and Accounting - Allameh Tabataba'i University, Tehran, Iran
Abstract :
The purpose of the current study is to select suppliers and determine
their order allocation in a way that the performance of the sustainability of the supply
process gets optimized on the whole. In this research, after reviewing the literature and
investigating the supply chain of the case study (Iran Khodro's supply chain) through
Delphi method, a set of evaluation criteria related to the performance of the suppliers in
economic, social, and environmental terms was identied. In the next stage, by using the
identied criteria, the multi-objective mathematical integer programming was presented to
solve the problems of supplier selection and order allocation. The suggested mathematical
programming in this research is designed to be multi-product, single-period, and multiple
sourcing. Fuzzy TOPSIS method is applied to calculate the qualitative parameters that are
used in the suggested mathematical programming. Ultimately, the mathematical model
suggested in the research is solved by two methods, i.e., epsilon constraint method and
weighted sum method. Moreover, the Total Value of Sustainable Purchasing (TVSP) is
calculated for both cases. The comparison of these two methods indicates that, in this
research, the results of the weighted sum method are more ecient than those of the
epsilon constraint method.
Keywords :
Sustainable supplier selection , Order allocation , Fuzzy TOPSIS , Multi-objective programming , Epsilon constraint method , Weighted sum method
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)