Document Type : Original Article

Authors

• Masoud Rabbani ¹
• Maryam Hemmati ²
• mohammadReza mehregan ³

¹ professor, college of Engineering, university of Tehran

² Kish International Campus, University of Tehran, Kish, Iran,

³ Industrial Management, Faculty of Management, University of Tehran

Abstract

Purpose: One of the biggest challenges of the 21st century is meeting the needs of the growing world population. The supply chain of perishable goods, including food, dairy products, medicines, and blood products, have recently received attention due to their impact on human life. In this article, the design of a sustainable supply chain network for perishable items has been discussed. To optimize this supply chain, a multi-objective mixed integer linear programming (MILP) model has been developed to formulate the problem. Fixed deterioration rate (expiration date) is considered.

Methodology: To perform the research calculations, GAMS software and the combined method of Bander's analysis and Lagrange coefficient were used, and based on the data, results were obtained, and the relative weight of the stability of the solution (ω) was equal to 0.5 and the relative weight of the stability of the model was ( ω) equal to 5000 has been developed to meet the proposed objectives. These comparisons show that the presented network was robust in all performance objectives.

Findings: The results obtained from the combined method regarding the three objective functions defined for the main model show this fact. The results of the first iteration provide us with better answers compared to the other iterations.

Originality/Value: This research can be considered as one of the first optimization paper that presented a multi-level and multi-product-multi-period supply chain with uncertainty in the parameters in the dairy and pharmaceutical industries and the environmental costs of production and transportation, and sustainable social costs such as reported accidents and incidents, job satisfaction, safety, reduction of dispatch time and lost working days simultaneously with the economic dimension in management-related decisions. Allocation combines location and routing.

Keywords

• Supply chain network design
• Perishable sustainable supply chain,,
• Disruption risk,
• Food, Uncertainty,
• , robust programing

Main Subjects

• supply chain management analyzing/modelling