optimization of closed-loop supply chain with stability approach using multi objective decision making and DANP method in food industry: case study in dairy industry

Subject Areas : Industrial Management

azam khabooshani ¹ , ommolbanin yousefi ² , mahdi fadaee ³ , Iraj Soltani ⁴

1 - Department of Management, Azad university of Isfahan, Isfahan, Iran
2 - Department of Industrial Engineering, Malek Ashtar University of Technology, Isfahan, Iran
3 - Assistant professor, Department of Economic, Payamenoor University, Iran
4 - Department of Management, Azad Universty of Isfahan, Isfahan, Iran

Received: 2020-03-27 Accepted : 2020-09-26 Published : 2020-09-30

Keywords: DANP, L-P metric, Multi Objective Decision Making, Sustainable, Closed-loop supply chain,

Abstract :

This paper presents a multi-purpose, multi-product mixed integer planning model considering the sustainability criteria to plan production, distribution, transportation in the food industry’s closed-loop supply chain. After reviewing the literature on the subject and using the opinions of university and food industry experts determining the most important sustainability indices with the three economic, environmental and social dimensions in the food industry, the relationship structure and effectiveness and impressionability levels of each indices were determined by DEMATEL technique and The technique is combined with a analysis network process to determine the weights of dimensions and their indices. In the second step, a mixed integer mathematical model was presented for planning the production, distribution, transportation of sustainable closed-loop supply chain dimensions with the above three dimensions, in which indicators from the DANP technique. Total cost of economic dimension of weighting 0/0101, for environmental dimension water consumption and energy consumption with weightings of 0/0578, 0/0580 and job opportunities of social dimension for weighting of 0/0911 modeled as goal functions. Then with the L-P metric method was solved by using GAMS and some optimal Pareto solutions were obtained. At the end, a case study was performed on the dairy industry with the help of Real data. Based on the solutions obtained, the lowest cost was found to be about 68 million rial per month, the lowest consumption rate of water was found to be about 660 m3 per month and the highest employment opportunities was found to be 39,000 man hours per month.

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