Abstract
Abstract In many manufacturing settings, an item may require repair at one stage before it is passed on to the next manufacturing operation. This paper examines a single-stage manufacturing system in which all items require a processing operation, they are then inspected, and a fraction (1-p) require rework. Two priority-based scheduling rules, motivated by the goal of minimizing the mean flow time in the repair system, are considered- The LST of the flow time PDF for a random arrival is developed for each priority rule. From the LST, the mean and variance of customer flow times can be obtained. Computational experience with the two rules is reported along with a discussion of the preferability of each rule when both flow time mean and variance are considered as performance measures.
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