Back to Search Start Over

Equipment location in machining transfer lines with multi-spindle heads

Authors :
Evgeny Gurevsky
Alexandre Dolgui
Olga Battaïa
Fatme Makssoud
Systèmes Logistiques et de Production (SLP )
Laboratoire des Sciences du Numérique de Nantes (LS2N)
IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)
Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST)
Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)
Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)
Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST)
Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)
Source :
Journal of Mathematical Modeling and Algorithms in Operations Research, Journal of Mathematical Modeling and Algorithms in Operations Research, 2013, 12 (2), ⟨10.1007/s10852-012-9196-2⟩
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

The considered problem appears when a machining line must be configured. It is necessary to define the number of workstations and the number of spindle heads at each workstation to be put in the line in order to produce a given part. This problem is known to be \(\mathcal{NP}\)-hard and, as a consequence, the solution time increases exponentially with the size of the problem. A number of pre-processing procedures are suggested in this article in order to decrease the initial problem size and thus shorten the solution time. A new algorithm for calculating a lower bound on the number of required equipment is also presented. A numerical example is given.

Details

Language :
English
Database :
OpenAIRE
Journal :
Journal of Mathematical Modeling and Algorithms in Operations Research, Journal of Mathematical Modeling and Algorithms in Operations Research, 2013, 12 (2), ⟨10.1007/s10852-012-9196-2⟩
Accession number :
edsair.doi.dedup.....73f2ba05a2d0a66703d6724ce7090a22