APPLYING THE ANALYTIC HIERARCHY PROCESS (AHP) MODEL TO EVALUATE AND CLASSIFY THE SUPPLY CHAIN PERFORMANCE OF THE TEXTILE AND GARMENT INDUSTRY IN HO CHI MINH CITY DURING THE COVID-19 PANDEMIC

Abstract

This study aims to provide an academic perspective on the application of the Analytical Hierarchy Process (AHP) model to evaluate and classify the supply chain efficiency of the textile and garment industry in Ho Chi Minh City, within the context of the COVID-19 pandemic. The research method is a combination of qualitative and quantitative methods. The author interviewed and surveyed 15 experts who are textile and garment enterprise managers to identify and evaluate the importance of 19 performance criteria. The study applies situation theory, combined with measurement theory, to better understand the uncertainties of the pandemic and make optimal choices, serving as a basis for data analysis using the AHP method. The research results show that the criterion "Accurate demand forecasting" has the highest weight (0.2426), followed by "Cash cycle time to generate cash", "Problem solving support", and "Resource utilization level". In contrast, criteria such as "Production Capacity Utilization Level", "Route Optimization", and "Customer Query Time" have the lowest weight (0.0071). From there, the study proposes managerial implications to help businesses prioritize resources and improve supply chain efficiency in the post-pandemic context and other future crises.