ABSTRACT
Incorporating maintenance in scheduling problems has a significant impact on real-time scheduling problems. In this simulation study, reliability-centered preventive maintenance (RCPM) approach and job shop scheduling were integrated in a stochastic environment. The simulation model was constructed using Pro-Model simulation software. The manufacturing system consisted of six job types and ten different machines. The performance of the system was evaluated using four performance measures: makespan (C max), mean flow time (MFT), mean tardiness (MT), and number of tardy jobs (NOTJ). Results demonstrated that lower levels of reliability, viz. 0.74, 0.78, and 0.82, are recommended for MFT and C max performance measures. A 0.82 level of reliability is recommended for MT and NOTJ performance measures. Considering maintenance with scheduling, providing real-time scheduling work represents the novelty of the present study.
