HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

A hybrid decomposition approach using increasing clusters for solving scheduling problems with minimal and maximal time lags

Freddy Deppner 1 Marie-Claude Portmann 1
1 MACSI - Industrial system modeling, analysis and operation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this article we present a priority rule construction algorithm couopled with a cluster decomposition method in order to construct feasible solutions for general scheduling problems with minimal and maximal time lag constraints. Algorithm performances have been tested on job shop scheduling problems and also a real chemical freeze-drying process.
Complete list of metadata

https://hal.inria.fr/inria-00114183
Contributor : Marie-Claude Portmann Connect in order to contact the contributor
Submitted on : Saturday, November 15, 2008 - 7:00:14 AM
Last modification on : Friday, February 4, 2022 - 3:29:49 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 10:47:48 PM

Identifiers

  • HAL Id : inria-00114183, version 1

Collections

Citation

Freddy Deppner, Marie-Claude Portmann. A hybrid decomposition approach using increasing clusters for solving scheduling problems with minimal and maximal time lags. Tenth International Workshop on Project Management and Scheduling (PMS 2006), EURO & University of Poznan, Apr 2006, Poznan/Poland, 4 p. ⟨inria-00114183⟩

Share

Metrics

Record views

83

Files downloads

81