Digital Twin-based Demand-Driven Production Planning and Scheduling System: A New Conceptual Framework

In the ever-evolving manufacturing landscape, companies are increasingly confronted with both external and internal uncertainties. These challenges necessitate a responsive and agile production planning and scheduling system. While adopting digital twin (DT) technology has enhanced dynamic scheduling at the operational level, there remains a notable gap in the literature regarding tactical-level production planning. This crucial aspect involves determining what and how much to produce and directly addressing customer demands while efficiently managing inventory. This paper introduces a novel conceptual framework that synergistically integrates Demand-Driven Material Requirements Planning (DDMRP) with DT-based scheduling and optimization. Our framework is developed to execute tactical production planning as well as operational-level scheduling seamlessly. It employs a genetic algorithm to refine the scheduling process, aiming to significantly improve production performance. Moreover, the framework is adept at managing rescheduling, effectively addressing both external and internal disturbances. By bridging the gap between high-level planning and operational execution, this framework presents a holistic approach to modern manufacturing challenges, ensuring effective inventory management, demand fulfillment, and enhanced production performance.