Framework for Engineering Supply Chain Performance in Manufacturing Sector

Supply chain disruptions caused by COVID-19 have dramatically altered the performance of the supply chain as measured. Some companies were unable to keep their supply chain running despite being rated as “excellent” in the traditional supply chain performance rating system. Taking into account modern dynamics, this study develops a standard framework for measuring integrated supply chain performance. The developed framework consists of six elements that are flexibility, quality, resource utilization, customer satisfaction, delivery lead time, and reduced cost as an ideal parameters. This framework is validated by taking two large-scale manufacturing industries as the case. The collected data is then analyzed using a regression method to show the correlation between Supply chain performance and the six parameters in the sustainable supply chain network. Finally, a paired comparison matrix is produced using an AHP multicriteria decision analysis to evaluate the outcomes across important parameters like reduced cost, quality, flexibility, customer satisfaction, delivery lead time, and resource utilization. The purpose of this analysis is to determine how Pakistan's industrial sectors are positioned in a thematic conceptual framework.