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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Optimal
Scheduling Of Two-Stage Reentrant Hybrid Flow Shop For Heat Treatment Process |
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Authors: |
Noppachai
Chalardkid, Tuanjai Somboonwiwat, Chareonchai Khompatraporn |
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Published in:
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(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
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Citation
format: |
Noppachai
Chalardkid, Tuanjai Somboonwiwat, Chareonchai Khompatraporn (2016). Optimal Scheduling Of Two-Stage
Reentrant Hybrid Flow Shop For Heat Treatment Process, ECMS 2016 Proceedings
edited by: Thorsten Claus, Frank Herrmann, Michael Manitz,
Oliver Rose
European Council for Modeling and Simulation. doi:10.7148/2016-0515 |
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DOI: |
http://dx.doi.org/10.7148/2016-0515 |
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Abstract: |
The reentrant hybrid flow shop for a
heat treatment process is considered in this study. We consider job scheduling
in a reentrant hybrid flow shop problem that consists of two statges in series. The first stage is washing, followed
by heat treating in the second stage. Each job
passes through the first and second stages, respectively, and then re-enter
the first stage one more time. Since the first stage must process the jobs
twice (with different processing times depending upon the type of the jobs),
it becomes the bottleneck in this flow shop problem. To resolve this problem,
the jobs needed to be better sequenced to balance the load among
the first and the second stages. The objective is to minimize makespan of a set of jobs and increase the utilization of
the both stages. This problem was formulated as a mixed integer program
(MIP). The results from the data set show that the utilization of the second
stage (heat treating) increased from 79.5% to their full capacity at 100%,
exceeding the target set by the company at 95%. |
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