Summary: | 碩士 === 中原大學 === 工業工程研究所 === 81 === The main difference between flexible manufacturing system and
the other production systems is its property of flexibi- lity
. Flexibility could represent the ability of system to cope
with the changing circumstances. It will improve effec- tively
the system performance to make fully use of flexibility. Among
the various types of flexibility ,it's the processing
fleixbility including process plan flexibility and routing
flexibility that has a significant impacts on the performance
of system.This study is about the design of dynamic parts rou
ting.The purpose is to design dynamic parts routing rules so
that the system's processing flexibility can be made fully use.
Firstly,We take the parts routing control as a two-period
decision problem and use Decision Theory to analyze a real
time parts routing decision process . It shows when there is
uncertainty in the system ,it should consider flexibility (the
number of alternative machines that each operation has) as a
criterion in the decision process.Secondly, according to the
analytic result, we make a flexibility measurement through the
entropy function in Information Theory and construct a
decision variable composing loss factor and flexibility factor
for parts routing.Based on the principle of minmum loss in
entropy ,two decision rules are established ,including part
selction rule and machine slection rules. Finally, we evaluate
how these rules effect on the system performance through a
simulation model and compared with the rule of shortest
operation time.It is found that the rules established perform
well in part flow time and machine utilization.
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