A Stochastic Mathematical Programming Approach to Resilient Supplier Selection and Order Allocation Problem: A Case Study in Iran Khodro Supply Chain

Abstract

Suppliers as one of the main sources of vulnerability may lead to disruption and risk in supply chains. Thus, resilient supplier selection can lead to an increase in the resilience of the supply process, especially in automotive supply chains. The goal of this study is to select a set of resilient suppliers and optimal demand allocation in an automotive supply chain under risk. For this purpose, a bi-objective two-stage stochastic programming model is presented. In contrast to previous mathematical models, our model includes a new objective function to consider the supplier's delivery performance as one of the criteria of resilient supplier selection and also the k-means clustering method is used to cluster and decrease the number of disruption scenarios. In the proposed model, due to the uncertainty of demand, chance-constrained programming approach has been utilized. The augmented Ɛ-constraint method is implemented to solve the presented model. Finally, sensitivity analysis has been done to determine the effect of parameter changes on the final results. The results of the research indicate that contingency planning can reduce the effect of disruption risks. The findings also show that the strategy of the supply chain regionalization is important in reducing the effects of environmental disruption.

Exploring resilient supplier selection in the automotive parts supply chain using the MABAC method: A case study at EZAM factory

“…• The third step: formation of the weighted normal decision matrix (V ) Since the criteria have different weights in the evaluation process, in this step, the weighted normal matrix components should be calculated based on the equation (15).…”

“…The results of this research show that the most influential criteria are management, financial status, and culture. Bakhtiari-Tavana et al [15] designed a two-stage, two-objective stochastic planning model to consider supplier delivery performance as one of the flexible supplier selection criteria. Also, the k-means clustering method was used to cluster and reduce the number of disruption scenarios.…”

A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem

“…However, in the GSS, the environmental dimension is crucially more important than other aspects [43]. In the RSS, the focus is on the resiliency and flexibility of suppliers [44]. The criteria of the RSS can be divided into four categories of benefits, opportunities, costs, and risks [6].…”