Flexible Job Shop Scheduling In Semiconductor Back-End Manufacturing. A Simulation Study

Abstract

The Flexible Job Shop Scheduling Problem (FJSSP) requires managing two distinct entities simultaneously. This research evaluates priority decision rules for scheduling tasks efficiently in the dynamin environment within the FJSSP framework and compares their performance with real-world scenarios. Drawing from existing literature, diverse priority rules including Composite Dispatching Rules (CDRs) and Multi-Criteria Decision Making (MCDM) methodologies like WASPAS, COPRAS, WAM, PSI, and PIV are selected and refined using fuzzy SWARA. The study finds the dynamic approach consistently outperforms other versions, showcasing its adaptability to evolving conditions. Both MCDM-fixed and MCDM-dynamic approaches significantly impact tardiness compared to CDRs, highlighting their efficacy in addressing critical scheduling objectives. This analysis offers insights for optimizing scheduling strategies in complex manufacturing environments, enhancing operational efficiency