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Identification of reconfigurability enablers and weighting of reconfigurability characteristics based on a case study

Article dans une revue avec comité de lecture
Article dans une revue avec comité de lecture
Author
BEAUVILLE DIT EYNAUD, Amélie
DURVILLE, Laurent
7736 PSA Peugeot - Citroën [PSA]
ccROUCOULES, Lionel
93484 Université de Technologie de Troyes [UTT]
175453 Arts et Métiers ParisTech
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
1685 Laboratoire des Systèmes Mécaniques et d'Ingénierie Simultanée [LASMIS]
ccKLEMENT, Nathalie
490706 Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS]
ccGIBARU, Olivier
104752 Centre Inria de l'Université de Lille
107490 Laboratoire de Métrologie et de Mathématiques Appliquées [L2MA]
432039 Non-Asymptotic estimation for online systems [NON-A]

URI
http://hdl.handle.net/10985/14437
DOI
10.1016/j.promfg.2018.12.016
Date
2019
Journal
Procedia Manufacturing

Abstract

Today manufacturing systems face a volatile demand with varying customer needs in terms of both volume and product mix ratio. The highly automated dedicated production lines can not fulfil the demand diversity which needs quick adaptation of the production system. Market fluctuations for the next years are unknown and products have shorter lifecycles. In order to specify precisely needs of factories regarding flexibility, this paper presents a methodology using a qualitative analysis and its application to a use case company. The aim is identification of current needs regarding reconfigurability of production systems and following research directions. To do so, decision makers from various fields and decision levels are identified and interviewed individually using a questionnaire. An Analytic Hierarchy Process (AHP) is also applied to identify weights of the six characteristics of reconfigurability: modularity, integrability, customization, convertibility, scalability and diagnosability; based on the experience of the interviewed decision-makers. Indeed, there is no standardized reconfigurability indicator for the assessment of a production system regarding its changeability capacity. Weighting of these characteristics is the first step before computing numerical values for each characteristic based on a mathematical model proposed in literature.

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