Abstract
This paper evaluates the scheduling of parts in a Flexible Job Shop (FJS) with non-zero setup costs, varying arrival rates and multiple objective functions. The Shortest Processing Time (SPT), Longest Processing Time (LPT), First-in, First-out (FIFO) and Earliest Due Date (EDD) scheduling rules are evaluated with respect to minimising the number of early jobs and optimising the due-date performance while simultaneously approximating Just-in-Time (JIT) inventory levels. We show in this paper that when the setup costs are not zero, depending on which objective is given priority, different machine loading configurations optimise system performance.
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