Single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates
碩士 === 國立中央大學 === 工業管理研究所 === 93 === We consider a single machine scheduling problem to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates. Each of n jobs is to be processed without interruption on a single machine which can handle only one job at a time. I...
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ndltd-TW-093NCU050410292015-10-13T11:53:58Z http://ndltd.ncl.edu.tw/handle/07770307802136678919 Single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates 具工件釋放時間限制下最小化提早與延遲成本之單機排程問題 Jeou-jer Luo 羅久哲 碩士 國立中央大學 工業管理研究所 93 We consider a single machine scheduling problem to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates. Each of n jobs is to be processed without interruption on a single machine which can handle only one job at a time. In our problem, each job becomes available for processing at its release date. All jobs have common due date and each job has different weights for earliness and tardiness. The objective is to find an optimal schedule that minimizes the sum of job-dependent earliness and job-dependent tardiness. For this problem, a branch-and-Bound Algorithm is proposed to find an optimal schedule in this article, and some propositions are used to eliminate a large of infeasible solutions. Computational experiments are proposed to validate and evaluate our algorithm. In validation, a special case and enumeration are compared with our algorithm. In evaluation, we compare effectiveness between our algorithm and enumeration. In average, more than 99% of nodes are eliminated in test problems. Gwo-ji Sheen 沈國基 2005 學位論文 ; thesis 83 en_US |
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碩士 === 國立中央大學 === 工業管理研究所 === 93 === We consider a single machine scheduling problem to minimize job-dependent
weighted earliness and tardiness penalties with distinct release dates. Each of n jobs is
to be processed without interruption on a single machine which can handle only one
job at a time. In our problem, each job becomes available for processing at its release
date. All jobs have common due date and each job has different weights for earliness
and tardiness. The objective is to find an optimal schedule that minimizes the sum of
job-dependent earliness and job-dependent tardiness.
For this problem, a branch-and-Bound Algorithm is proposed to find an optimal
schedule in this article, and some propositions are used to eliminate a large of
infeasible solutions. Computational experiments are proposed to validate and evaluate
our algorithm. In validation, a special case and enumeration are compared with our
algorithm. In evaluation, we compare effectiveness between our algorithm and
enumeration. In average, more than 99% of nodes are eliminated in test problems.
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author2 |
Gwo-ji Sheen |
author_facet |
Gwo-ji Sheen Jeou-jer Luo 羅久哲 |
author |
Jeou-jer Luo 羅久哲 |
spellingShingle |
Jeou-jer Luo 羅久哲 Single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates |
author_sort |
Jeou-jer Luo |
title |
Single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates |
title_short |
Single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates |
title_full |
Single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates |
title_fullStr |
Single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates |
title_full_unstemmed |
Single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates |
title_sort |
single machine scheduling to minimize job-dependent weighted earliness and tardiness penalties with distinct release dates |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/07770307802136678919 |
work_keys_str_mv |
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