Abstract
This simulation study integrates the reliability-centered preventive maintenance approach and job-shop scheduling in a stochastic environment with energy consideration. Five reliability levels are considered ranging from 0.74 to 0.90 in the step of 0.04. The shop consists of six job types and ten distinct machines with dynamic job arrival. The system performance was measured by maximum flow-time, maximum-tardiness, mean-consumed operational energy, and mean-consumed ideal energy. The results indicate that each performance measure's value increases as the reliability levels increase. However, from a maintenance planning viewpoint, lower levels of reliability (i.e., 0.74, 0.78, and 0.82) are recommended for all performance metrics.
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