Manufacturing system performance sensitivity to selection of product design metrics

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Abstract

How and to what level the choice of design metrics influences manufacturing system performance measures is examined for three different types of manufacturing systems. The manufacturing systems were modeled using digital simulation for an electronics assembly case study. The design metrics examined were: (1) part density, (2) part variety, and (3) level of automation. System performance was evaluated using: (1) percentage of time for value-adding process functions, (2) production rate, and (3) nonconformance ratio. Regression modeling suggested that design metrics which affect quality influenced system performance measures the most. The design metric having the highest impact was the level of automation.

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