Decision support for design of reconfigurable rotary machining systems for family part production
Autor: | Nikolai Guschinsky, Alexandre Dolgui, Olga Battaïa |
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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: |
Reconfigurable machining systems
0209 industrial biotechnology Engineering Decision support system Combinatorial optimization Strategy and Management 0211 other engineering and technologies Production system design 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering [SPI.AUTO]Engineering Sciences [physics]/Automatic 020901 industrial engineering & automation Combinatorial design Machining Production (economics) Family part production 021103 operations research business.industry Combinatorial optimization problem [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Manufacturing engineering Combinatorial optimisation Variety (cybernetics) Product (business) Rotary machine business Recherche opérationnelle |
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 |
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