An integrated modeling framework for capacity planning and production scheduling

Efficient system modeling can eliminate capacity discrepancy between mid-term capacity planning and anies by consistently delivering promised capacity. This paper proposes an integrated modeling framework which consists of capacity constraints and configurable constraints for capacity planning and production scheduling to address the issue of capacity discrepancy. The capacity constraints that derived from machine timeline, production rate and machine allocation preference matrix can resolve the conflicting objectives in capacity planning and production scheduling; whereas the configurable constraints that are designed and implemented for special concerns in planning and scheduling functions will facilitate the pursuing of optimized production plans and schedules. The paper will finally depict an implementation of the proposed framework in the semiconductor backend assembly environment.