Designing a sustainable agile retail supply chain using multi-objective optimization methods (Case study: SAIPA Company)

Abstract

This paper aimed to design a sustainable agile retail supply chain using multi-objective optimization methods. To this end, a mathematical model was presented for the sustainable agile supply chain with five objectives, including "minimizing costs", "minimizing unanswered demand", "maximizing the quality of goods purchased from suppliers", "maximizing social responsibility or social benefits", and "minimizing environmental impacts". The NSGA-II, PESA, and SPEA-II algorithms were used to solve the proposed model, which was run in MATLAB software. After collecting data from the SAIPA Company's supply chain, the model was solved using the three algorithms. The results indicate that the SPEA-II algorithm produces more high quality responses, compared to the other two algorithms. Furthermore, it is found that the SPEA-II algorithm belongs to the Pareto front response. A decrease in environmental impacts did not affect on the problem responses due to the lack of a specific structure in the current system.