Track: Decision Sciences
Abstract
As one of the world’s largest and most impactful industries, Ready Made Garments (RMG) sector employs millions of people. However, despite its significant workforce contribution, the industry is also known for its poor safety record, characterized by frequent accidents and fatalities reported at factories. This research utilizes Interpretive Structural Modeling (ISM) and MICMAC techniques to identify twelve critical factors for implementing safety measures in the RMG industry. Categorized as independent, linked, autonomous and dependent variables, these factors were analyzed for their interrelationships and impact levels. The findings offer valuable insight for policymakers and industry leaders, guiding the effective implementation of safety measures in the RMG sector. This research also contributes to ensuring workers well-being and promoting sustainable economic growth.