ERP–MIS Integration for Intelligent Apparel Production Planning

The apparel industry is undergoing rapid digital transformation driven by global competition, fast-changing consumer demand, and increasing sustainability requirements. To remain competitive, manufacturers must optimize production planning through intelligent, data-driven systems. Enterprise Resource Planning (ERP) and Management Information Systems (MIS) represent two core digital infrastructures in apparel manufacturing. ERP platforms provide transactional efficiency across procurement, inventory, and order management, while MIS solutions enable analytical insights for decision-making. However, their independent and often siloed use creates inefficiencies, limits transparency, and prevents manufacturers from responding effectively to dynamic market shifts.This paper proposes a framework for ERP–MIS integration that combines operational data streams with intelligent analytics to support real-time apparel production planning. The integration is designed around three components: a data synchronization layer that enables seamless information flow between ERP and MIS; an intelligent planning engine that applies predictive analytics and constraint-based scheduling; and a decision-support dashboard that enhances managerial visibility across the production cycle. A case-based simulation using apparel industry datasets demonstrates that the integrated system reduces production lead time by 18%, increases resource utilization by 23%, and improves order accuracy by 15% compared to traditional ERP-only approaches. The findings highlight that ERP–MIS integration not only improves operational efficiency but also contributes to sustainability goals through reduced waste and better resource allocation. The study concludes that such integration is a critical enabler of Industry 4.0 adoption in the apparel sector.