A new RCPSP variant for scheduling research activities in a nuclear laboratory

Abstract : There are not many research works dedicated to the optimization of scheduling activities in research laboratories. In this paper, we consider the weekly scheduling problem of activities within a nuclear research laboratory. We show that this problem can be modeled as a preemptive multi-skill variant of the Resource-Constraint Project Scheduling Problem where the preemption of some activities is allowed and induces a penalty every time the activity is preempted. We propose two integer linear programs to find exact solutions. Computational tests are carried out and described.
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Communication dans un congrès
47th International Conference on Computers & Industrial Engineering (CIE47), Oct 2017, Lisbonne, Portugal. 8p., 2017
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https://hal.laas.fr/hal-01630977
Contributeur : Pierre Lopez <>
Soumis le : mercredi 8 novembre 2017 - 17:31:47
Dernière modification le : mercredi 28 février 2018 - 10:23:14
Document(s) archivé(s) le : vendredi 9 février 2018 - 12:55:42

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  • HAL Id : hal-01630977, version 1

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Oliver Polo Mejia, Marie-Christine Anselmet, Christian Artigues, Pierre Lopez. A new RCPSP variant for scheduling research activities in a nuclear laboratory. 47th International Conference on Computers & Industrial Engineering (CIE47), Oct 2017, Lisbonne, Portugal. 8p., 2017. 〈hal-01630977〉

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