A fuzzy soft approach toward power influences in supply chain performance in Electronics Manufacturing Industry

Abstract

Companies create supply chains (SC) to gain added value, but collaborative relationships don't do not mean they all receive a balanced share of this value due to power asymmetry. The success of an SC depends on its ability to deliver the required products/services to the customer with specific quality and characteristics on time and in the right place. We study SC performance measures as the decision-making criteria given the primary goal of profit maximization in SC management. Different kinds of power are classified, and a process is proposed to choose the most appropriate form of power for companies at each level of SC. Using a mixed Best-Worst Method (BWM) Fuzzy soft set approach, the suitable power form for each company is determined. The results show there is not one best power form to be prescribed for all firms, so each company may need different strategies to achieve different power positions depending on its relationship with other SC echelons. We also present a sensitivity analysis to demonstrate the robustness of our proposed approach.