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Corresponding Author

Sawaqed, Naseem

Subject Area

Mechanical Power Engineering

Article Type

Original Study

Abstract

This paper aims to investigate the effects of system parameters on cellular shop performance. Mean flow time, standard deviation of flow time, work-in-process, and standard deviation of work-in-process are the shop performance measures considered. Simulation modeling using SLAMII is used as a vehicle to generate experimental data. Five system parameters (factors) are considered in this study: job movement among shop cells, job batch sizing, job processing time variability, machine setup index, and variability in machine time between breakdowns. It was found that shop performance measures are correlated, and are highly affected by the experimental conditions considered. System parameters interactions were also found to be significant in terms of their impact on shop performance.

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