2016
DOI: 10.1080/00207543.2016.1213451
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Decision support for design of reconfigurable rotary machining systems for family part production

Abstract: International audienceTo 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 pr… Show more

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Cited by 56 publications
(18 citation statements)
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“…Market demand has led manufacturing technologies to quickly be adapt current production requirements and market changes (Abdi 2009;Battaïa, Dolgui, and Guschinsky 2016). The former paradigms of manufacturing methods for medium-and high production quantities are dedicated (DMS) and flexible manufacturing system (FMS) (Katz 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Market demand has led manufacturing technologies to quickly be adapt current production requirements and market changes (Abdi 2009;Battaïa, Dolgui, and Guschinsky 2016). The former paradigms of manufacturing methods for medium-and high production quantities are dedicated (DMS) and flexible manufacturing system (FMS) (Katz 2006).…”
Section: Introductionmentioning
confidence: 99%
“…As a consequence, more refined mathematical models are developed in the present study. In our previous work (Battaïa et al, 2017), we studied a close problem for rotary machining systems and here we extend the obtained mathematical model to a more general machining system layout.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Some researchers also use strategic methods in different manufacturing research fields. For instance, Battaïa et al [17] applied expert systems (ES) to the machine selection problem to evaluate qualitative factors. Vafadar et al [8] used an expert system for technical feasibility analysis.…”
Section: Introductionmentioning
confidence: 99%