A decisional framework for concurrent planning of multiple projects and supply chain network

Shadan Gholizadeh Tayyar 1 Jacques Lamothe 1 Lionel Dupont 1 Jean-Pierre Loustau 2
1 CGI - Centre Génie Industriel
2 SYRTHEA Enterprise
Abstract : This paper studies scheduling of multiple projects under generalized precedence relation between activities and limited availability of resources. The proposed mixed integer model considers two types of the resources including renewable and non-renewable ones. The renewable resources are available in initial quantity at projects’ worksites. Nevertheless, it is possible to rent limited supplementary quantity of them over periods in which requirement for the resources may exceed the initial availability. With considering the due-dates that are given for the activities, the assumption makes the model able to decide optimally, either to pay for renting additional resources and not to pay for high penalty costs, or vice versa. In order to satisfy the activities’ demand for the nonrenewable resources, it defines a production-transportation plan by planning supply chain which supplies the resources to the projects’ worksites. The application of the model is investigated on a use-case from a French project called CRIBA.
Keywords : Generalized Resource Constrained Multi Project Scheduling Problem Supply Chain Planning Optimization Mixed Integer Programming
Type de document :
Communication dans un congrès
ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain, Jun 2016, Bordeaux, France. 2016
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https://hal-mines-albi.archives-ouvertes.fr/hal-01618647
Contributeur : Delphine Guillon <>
Soumis le : mercredi 18 octobre 2017 - 11:45:24
Dernière modification le : vendredi 10 novembre 2017 - 11:10:02

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  • HAL Id : hal-01618647, version 1

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Shadan Gholizadeh Tayyar, Jacques Lamothe, Lionel Dupont, Jean-Pierre Loustau. A decisional framework for concurrent planning of multiple projects and supply chain network. ILS 2016 - 6th International Conference on Information Systems, Logistics and Supply Chain, Jun 2016, Bordeaux, France. 2016. 〈hal-01618647〉

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