Developing a reconfigurability index using multi-attribute utility theory

Kapil Gumasta Santosh Kumar Gupta Lyes Benyoucef 1 Manoj Kumar Tiwar
1 COSTEAM - Optimal and secure management of manufacturing systems
Inria Nancy - Grand Est, UPVM - Université Paul Verlaine - Metz
Abstract : Reconfigurable manufacturing systems (RMSs) have been acknowledged as a promising means of providing manufacturing companies with the required production capacities and capabilities. This is accomplished through reconfiguring the system elements over the time for a diverse set of individualised products often required in small quantities and with short delivery lead time. This necessitates the requirement of mapping the manufacturing system capabilities and other characteristics by developing a suitable index. In this paper an index has been developed to measure the reconfigurability of RMSs keeping in mind their various core characteristics such as modularity, scalability, convertibility and diagnosability. These characteristics have been mapped together using multi-attribute utility theory. One could easily use this index to find the reconfigurability of a system possessing different characteristics. An illustrative example is provided to reveal the application of the proposed methodology on a given system. Insight gained would be of much interest to the decision makers managing the complexity of a manufacturing system for diversified products.
Keywords : reconfigurable manufacturing system (RMS) modularity convertibility scalability diagnosability reconfigurability multi-attribute utility theory
Type de document :
Article dans une revue
International Journal of Production Research, Taylor & Francis, 2009, 49 (6), pp.1669 - 1683. 〈10.1080/00207540903555536〉
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https://hal.inria.fr/inria-00600898
Contributeur : Ist Inria Nancy Grand Est <>
Soumis le : jeudi 16 juin 2011 - 09:39:20
Dernière modification le : jeudi 16 mars 2017 - 01:06:18

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Kapil Gumasta, Santosh Kumar Gupta, Lyes Benyoucef, Manoj Kumar Tiwar. Developing a reconfigurability index using multi-attribute utility theory. International Journal of Production Research, Taylor & Francis, 2009, 49 (6), pp.1669 - 1683. 〈10.1080/00207540903555536〉. 〈inria-00600898〉

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