Decision support for design of reconfigurable rotary machining systems for family part production

Autor: Nikolai Guschinsky, Alexandre Dolgui, Olga Battaïa
Přispěvatelé: Centre National de la Recherche Scientifique - CNRS (FRANCE), Ecole Centrale de Nantes (FRANCE), Ecole des Mines de Nantes (FRANCE), Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Université de Nantes (FRANCE), National Academy of Sciences of Belarus (BELARUS), Université Nantes Angers Le Mans - UNAM (FRANCE), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Systèmes Logistiques et de Production (SLP ), Laboratoire des Sciences du Numérique de Nantes (LS2N), 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), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Automatique, Productique et Informatique (IMT Atlantique - DAPI), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), United Institute of Informatics Problems (UIIP [Minsk]), National Academy of Sciences of Belarus (NASB)
Rok vydání: 2016
Předmět:
Zdroj: International Journal of Production Research
International Journal of Production Research, Taylor & Francis, 2017, 55 (5), pp.1368-1385. ⟨10.1080/00207543.2016.1213451⟩
ISSN: 1366-588X
0020-7543
DOI: 10.1080/00207543.2016.1213451
Popis: International audience; To remain competitive in currently unpredictable markets, the enterprises must adapt their manufacturing systems to frequent market changes and high product variety. Reconfigurable manufacturing systems (RMSs) promise to offer a rapid and cost-effective response to production fluctuations under the condition that their configuration is attentively studied and optimised. This paper presents a decision support tool for designing reconfigurable machining systems to be used for family part production. The objective is to elaborate a cost-effective solution for production of several part families. This design issue is modelled as a combinatorial optimization problem. An illustrative example and computational experiments are discussed to reveal the application of the proposed methodology. Insight gained would be useful to the decision makers managing the configuration of manufacturing systems for diversified products.
Databáze: OpenAIRE