A resilient global supplier selection strategy-a case study of an automotive company

Disaster studies have recently received considerable attention. Determining how to build a resilient supply chain to mitigate uncertainty is the priority for automotive companies. Supplier selection strategies have been identified as vital for mitigating this uncertainty. This study sought to verify the criteria for selecting suppliers by using global performance measurements to identify optimal supply resources and locations in an uncertain disaster environment. The study focuses on an automotive company case study and evaluates the results through weighted goal programming (WGP) and preemptive goal programming (PGP) methods. The findings are as follows: (1) The investigated automotive company must arrange additional supply resources in the involved region by using a global supplier selection strategy, (2) an appropriate location in the involved region is identified through a global performance measurement and evaluation, and (3) disaster damage mitigation is determined to be a priority in long-term business strategies. This case study improves the preparedness of the automotive industry to manage unpredictable disasters in the supply chain through the effective use of a global selection strategy.