A robust basic cyclic scheduling problem
This paper addresses the Basic Cyclic Scheduling Problem where the processing times are affected by uncertainties. We formulate the problem as a two-stage robust optimization problem with a budgeted uncertainty set. More precisely, we consider the uncertainty set introduced by Bertsimas and Sim (Ope...
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2018
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oai:doaj.org-article:15acdbc9b02f4ffdb5ab61490b1f53a82021-12-02T05:01:08ZA robust basic cyclic scheduling problem2192-440610.1007/s13675-018-0100-3https://doaj.org/article/15acdbc9b02f4ffdb5ab61490b1f53a82018-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2192440621001040https://doaj.org/toc/2192-4406This paper addresses the Basic Cyclic Scheduling Problem where the processing times are affected by uncertainties. We formulate the problem as a two-stage robust optimization problem with a budgeted uncertainty set. More precisely, we consider the uncertainty set introduced by Bertsimas and Sim (Oper Res 52(1):35–53, 2004) where the activity durations are subject to interval uncertainty and the level of robustness is controlled by a parameter. We propose three exact algorithms for solving the problem. Two of them use a negative circuit detection algorithm as a subroutine, and the last one is a Howard’s algorithm adaptation. Results of numerical experiments on randomly generated instances show that the Howard’s algorithm adaptation yields efficient results and opens perspectives on more difficult robust cyclic scheduling problems.Idir HamazLaurent HoussinSonia CafieriElsevierarticle90-0890B3590B36Applied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 6, Iss 3, Pp 291-313 (2018) |
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90-08 90B35 90B36 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 |
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90-08 90B35 90B36 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 Idir Hamaz Laurent Houssin Sonia Cafieri A robust basic cyclic scheduling problem |
description |
This paper addresses the Basic Cyclic Scheduling Problem where the processing times are affected by uncertainties. We formulate the problem as a two-stage robust optimization problem with a budgeted uncertainty set. More precisely, we consider the uncertainty set introduced by Bertsimas and Sim (Oper Res 52(1):35–53, 2004) where the activity durations are subject to interval uncertainty and the level of robustness is controlled by a parameter. We propose three exact algorithms for solving the problem. Two of them use a negative circuit detection algorithm as a subroutine, and the last one is a Howard’s algorithm adaptation. Results of numerical experiments on randomly generated instances show that the Howard’s algorithm adaptation yields efficient results and opens perspectives on more difficult robust cyclic scheduling problems. |
format |
article |
author |
Idir Hamaz Laurent Houssin Sonia Cafieri |
author_facet |
Idir Hamaz Laurent Houssin Sonia Cafieri |
author_sort |
Idir Hamaz |
title |
A robust basic cyclic scheduling problem |
title_short |
A robust basic cyclic scheduling problem |
title_full |
A robust basic cyclic scheduling problem |
title_fullStr |
A robust basic cyclic scheduling problem |
title_full_unstemmed |
A robust basic cyclic scheduling problem |
title_sort |
robust basic cyclic scheduling problem |
publisher |
Elsevier |
publishDate |
2018 |
url |
https://doaj.org/article/15acdbc9b02f4ffdb5ab61490b1f53a8 |
work_keys_str_mv |
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_version_ |
1718400814834253824 |