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A Mathematical Model for Cyclic Scheduling With Assembly Tasks and Work-In-Process Minimization

Authors :
Amar M.A, Ben
Camus, Hubert
Korbaa, O.
Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS)
Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)
LAGIS-OSL
Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)
Source :
IEEE International Symposium on Assembly and Manufacturing, ISAM 2009, IEEE International Symposium on Assembly and Manufacturing, ISAM 2009, Nov 2009, Suwon, South Korea
Publication Year :
2009
Publisher :
HAL CCSD, 2009.

Abstract

International audience; In this paper, we deal with the cyclic scheduling problem. More precisely, we consider the cyclic job shop with assembly tasks. Such a problem is made of several jobs, each job consisting of tasks (assembly/disassembly tasks and transformation tasks) being assigned to machines in a cyclic way. This kind of scheduling problem is well fitted to medium and large production demands, since the cyclic behavior can avoid the scheduling of the whole tasks by considering only a small temporal window (cycle). Thus, cyclic scheduling is a heuristic to solve the scheduling problems whose complexity is NP-hard in the general case. Many methods have been proposed to solve the cyclic scheduling problem. Among them, we focus on the mathematical programming approach. We will propose here a mathematical model for cyclic scheduling with assembly tasks and Work-In-Process minimization, and we illustrate this approach with an example from literature.

Details

Language :
English
Database :
OpenAIRE
Journal :
IEEE International Symposium on Assembly and Manufacturing, ISAM 2009, IEEE International Symposium on Assembly and Manufacturing, ISAM 2009, Nov 2009, Suwon, South Korea
Accession number :
edsair.dedup.wf.001..deabf91c774ded6f6e20b7c4d241c4e5