Reentrant Flow Shop Scheduling Problems in Two-Machine Systems
碩士 === 元智工學院 === 工業工程學系 === 84 === This research focuses on investigating the reentrant flow shop scheduling problem in two-machine systems. We assume throughout this research that all jobs are different, the buffers' capacities...
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ndltd-TW-084YZU000300202016-02-03T04:32:09Z http://ndltd.ncl.edu.tw/handle/50287990308703072258 Reentrant Flow Shop Scheduling Problems in Two-Machine Systems 於二部機器重加工之生產排程問題探討 Weng, Cheng-Yi 翁正宜 碩士 元智工學院 工業工程學系 84 This research focuses on investigating the reentrant flow shop scheduling problem in two-machine systems. We assume throughout this research that all jobs are different, the buffers' capacities are infinite, and all jobs are ready for processing at the beginning of the processing period. The objective is to minimize the makespan . This problem is strongly NP hard. In this research,we develop a branch and bound method by which we could obtain the optimal schedule more quickly. Furthermore, we develop a heuristic method to deal with the large scale problem. By experimenting, we find the error between the optimal solution and heuristic solution is small. We also compare our heuristic method with the traditional rules of scheduling and discover that our heuristic method has a much better performance. In particular, we consider the situation that every job is identical and each processing time of jobs is the same but could be different in two machines. We find the policy“the job with more processes to be processed should be processed first”could obtain the smallest makespan. Moreover, if the processing time of the two machines are the same, this policy could also extend to the systems in which the number of machines are larger than two. Guu Sy-Ming 古思明 學位論文 ; thesis 37 zh-TW |
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碩士 === 元智工學院 === 工業工程學系 === 84 === This research focuses on investigating the reentrant flow
shop scheduling problem in two-machine systems. We assume
throughout this research that all jobs are different, the
buffers' capacities are infinite, and all jobs are ready for
processing at the beginning of the processing period. The
objective is to minimize the makespan . This problem is
strongly NP hard. In this research,we develop a
branch and bound method by which we could obtain the optimal
schedule more quickly. Furthermore, we develop a heuristic
method to deal with the large scale problem. By experimenting,
we find the error between the optimal solution and heuristic
solution is small. We also compare our heuristic method with
the traditional rules of scheduling and discover that our
heuristic method has a much better performance. In
particular, we consider the situation that every job is
identical and each processing time of jobs is the same but
could be different in two machines. We find the policy“the
job with more processes to be processed should be processed
first”could obtain the smallest makespan. Moreover, if the
processing time of the two machines are the same, this policy
could also extend to the systems in which the number of
machines are larger than two.
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author2 |
Guu Sy-Ming |
author_facet |
Guu Sy-Ming Weng, Cheng-Yi 翁正宜 |
author |
Weng, Cheng-Yi 翁正宜 |
spellingShingle |
Weng, Cheng-Yi 翁正宜 Reentrant Flow Shop Scheduling Problems in Two-Machine Systems |
author_sort |
Weng, Cheng-Yi |
title |
Reentrant Flow Shop Scheduling Problems in Two-Machine Systems |
title_short |
Reentrant Flow Shop Scheduling Problems in Two-Machine Systems |
title_full |
Reentrant Flow Shop Scheduling Problems in Two-Machine Systems |
title_fullStr |
Reentrant Flow Shop Scheduling Problems in Two-Machine Systems |
title_full_unstemmed |
Reentrant Flow Shop Scheduling Problems in Two-Machine Systems |
title_sort |
reentrant flow shop scheduling problems in two-machine systems |
url |
http://ndltd.ncl.edu.tw/handle/50287990308703072258 |
work_keys_str_mv |
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