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 Author (s) Details
Ascent Pharmaceuticals Inc, Central Islip, NY 11722, USA.
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