• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Lille Économie Management (LEM) - UMR 9221
  • View Item
  •   LillOA Home
  • Liste des unités
  • Lille Économie Management (LEM) - UMR 9221
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Minimizing the expected makespan of a ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Article dans une revue scientifique
DOI :
10.1007/s10951-015-0421-5
Permalink :
http://hdl.handle.net/20.500.12210/56634
Title :
Minimizing the expected makespan of a project with stochastic activity durations under resource constraints
Author(s) :
Creemers, Stefan [Auteur]
Lille économie management - UMR 9221 [LEM]
Journal title :
Journal of Scheduling
Pages :
263-273
Publisher :
Springer Verlag
Publication date :
2015-06-10
ISSN :
1094-6136
HAL domain(s) :
Sciences de l'Homme et Société
Sciences de l'Homme et Société/Gestion et management
English abstract : [en]
The resource-constrained project scheduling problem (RCPSP) has been widely studied. A fundamental assumption of the basic type of RCPSP is that activity durations are deterministic (i.e., they are known in advance). In ...
Show more >
The resource-constrained project scheduling problem (RCPSP) has been widely studied. A fundamental assumption of the basic type of RCPSP is that activity durations are deterministic (i.e., they are known in advance). In reality, however, this is almost never the case. In this article, we illustrate why it is important to incorporate activity duration uncertainty, and develop an exact procedure to optimally solve the stochastic resource-constrained scheduling problem. A computational experiment shows that our approach works best when solving small- to medium-sized problem instances where activity durations have a moderate-to-high level of variability. For this setting, our model outperforms the existing state-of-the-art. In addition, we use our model to assess the optimality gap of existing heuristic approaches, and investigate the impact of making scheduling decisions also during the execution of an activity rather than only at the end of an activity.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Lille Économie Management (LEM) - UMR 9221
Source :
Harvested from HAL
Submission date :
2021-11-13T01:54:31Z
Files
Thumbnail
  • https://lirias.kuleuven.be/bitstream/123456789/488376/1/Creemers_WORKING_PAPER.pdf
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017