Optimization of product changeover becomes difficult when manufacturing systems capable of producing multiple part types vary in uptime efficiency and changeover time, supply and delivery of parts are not constant. This is a continuation of the structured process improvement methodology proposed by Shortt, et al. [1], where simulation-based methods are used to reduce the Cost of Ownership (CoO) through the reduction of WIP. This research will utilize discrete event simulation to determine the optimal number of changeovers of a multi-part manufacturing system, with a continued focus to reduce the CoO. The developed methodology was applied to a multi-part engine block machining system used previously, to prove its validity.
A Structured Simulation-Based Methodology of Batch Size Optimization to Minimize Unit Cost
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