New strategies for stochastic resource-constrained project scheduling

Rostami, Salim; Creemers, Stefan; Leus, Roel

Document type :

Article dans une revue scientifique

DOI :

10.1007/s10951-016-0505-x

Title :

New strategies for stochastic resource-constrained project scheduling

Author(s) :

Rostami, Salim [Auteur]
Creemers, Stefan [Auteur]
Lille économie management - UMR 9221 [LEM]
Leus, Roel [Auteur]
Catholic University of Leuven - Katholieke Universiteit Leuven [KU Leuven]

Journal title :

Journal of Scheduling

Pages :

349–365

Publisher :

Springer Verlag

Publication date :

2017-01-12

ISSN :

1094-6136

HAL domain(s) :

Sciences de l'Homme et Société/Gestion et management

English abstract : [en]

We study the stochastic resource-constrained project scheduling problem or SRCPSP, where project activities have stochastic durations. A solution is a scheduling policy, and we propose a new class of policies that is a ...
Show more >We study the stochastic resource-constrained project scheduling problem or SRCPSP, where project activities have stochastic durations. A solution is a scheduling policy, and we propose a new class of policies that is a generalization of most of the classes described in the literature. A policy in this new class makes a number of a priori decisions in a preprocessing phase, while the remaining scheduling decisions are made online. A two-phase local search algorithm is proposed to optimize within the class. Our computational results show that the algorithm has been efficiently tuned toward finding high-quality solutions and that it outperforms all existing algorithms for large instances. The results also indicate that the optimality gap even within the larger class of elementary policies is very small.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Lille Économie Management (LEM) - UMR 9221

Source :

Harvested from HAL

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