Download PDFOpen PDF in browser
FR
Switch back to the title and the abstract
in French

Mixed-Integer/Linear and Constraint Programming Approaches for a Multi-Skill Project Scheduling Problem with Partial Preemption

EasyChair Preprint 2694

2 pagesDate: February 18, 2020

Abstract

This paper addresses the multi-skill project scheduling problem and the study of a new variant of this problem that uses the concept of partial preemption where it is possible to release only a subset of resources during preemption periods. To solve the problem, we propose two formulations, one based on integer linear programming, the other based on constraint programming.

Keyphrases: Ordonnancement de projet multi-compétences, Préemption partielle, Programmation linéaire en nombres entiers, Programmation par contraintes

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:2694,
  author    = {Oliver Polo Mejía and Christian Artigues and Pierre Lopez},
  title     = {Mixed-Integer/Linear and Constraint Programming Approaches for a Multi-Skill Project Scheduling Problem with Partial Preemption},
  howpublished = {EasyChair Preprint 2694},
  year      = {EasyChair, 2020}}
Download PDFOpen PDF in browser