Development Of A Quantitative Model For Optimization And Disruption Mitigation In A Fuzzy Three-Level Multi-Products Supply Chain (Case Study: Auto Spare Parts Supply Chain)

The recent boycotts of the automotive industry further showed that, despite widespread investment in the automotive industry, the companies and supply chains of this industry did not have a satisfactory performance. In this research, a three-level chain of production, each of which includes manufacturing plants, distributors and retailers, is considered in the high demand segment of spare parts. The database of two active companies in this section is used for five strategic products in one year. First, the three-level chain is modeled in an ideal condition (non-disturbance) for a limited planning horizon and is mathematically modeled as a curriculum problem. Then, the mathematical model has been solved by considering disruptions based on three deferred sales policies, lost sales and outsourcing, with the aim of minimizing the total cost of the chain in the event of a variety of disturbances. The results show that the proposed algorithm of this research can neutralize the effect of disturbances and cause a significant reduction in the total cost of the system. The model is useful for helping decision-makers adopt an active approach to maintaining business benefits when disruptions occur (such as sanctions) in the chain