Taguchi Method to Analyze the Impacts of Commonalities in Multistage Production under Bottleneck and Uncertainty: An Overview
This chapter aims to measure the individual and combined impacts of common components and machines in manufacturing, under bottleneck and uncertain conditions. Simulation models have developed for multiple products, multi-period and multistage dependent demand system based on a live case from a Malaysian company. Machine breakdown and quality variation have incorporated in the models to create uncertainty. The delivery performances like (i) throughput of the finished products, (ii) average production time and (iii) work-in-progress (WIP) in the system for different experimental scenarios have examined. Taguchi approaches for orthogonal array were employed in designing experiments and these were executed in WITNESS, a simulation modeling software. The models corroborated historical data from the company by face validity. It was determined that batch size of 12 in bottleneck, 2 common components and 4 common machines ensure the best outcomes of the system under the storm of uncertainties. The focus of this chapter is determination of the best batch size in bottleneck point under uncertainties, commonalities (components and machines) and capacity constraint.
Author (s) Details
M. A. Wazed
Ascent Pharmaceuticals Inc, Central Islip, NY 11722, USA.
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