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Standardization, Commonality, Modularity: A Global Economic Perspective

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Date
2015
Notes
IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 459)
Link to item file
https://hal.archives-ouvertes.fr/hal-01417509
Dewey
Informatique générale
Sujet
Standardization; Management of diversity; Optimization; Product design; BOM definition
DOI
http://dx.doi.org/10.1007/978-3-319-22756-6_45
Conference name
Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth. IFIP WG 5.7 International Conference (APMS 2015)
Conference date
09-2015
Conference city
Tokyo
Conference country
Japan
Book title
IFIP International Conference on Advances in Production Management Systems (APMS)
Author
Umeda, Shigeki; Nakano, Masaru; Mizuyama, Hajime
Publisher
Springer
Publisher city
Cham
Year
2015
Pages number
743
ISBN
978-3-319-22756-6
Book URL
10.1007/978-3-319-22756-6
URI
https://basepub.dauphine.fr/handle/123456789/20857
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Chatras, Clément
Giard, Vincent
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
365-375
Abstract (EN)
This paper deals with the problem of simultaneous standardization of a set of modules and of multiple sets of components that may be combined in these modules. The aim is to minimize future costs. The components and modules, whether already existing or yet to be created are not related to predetermined BOMs. The problem takes into account coupling constraints between components because not all components included in a module may be coupled (coupling restriction), although some of the restrictions can be lifted through “junction components”. Our approach is readily implemented and significantly improves decisional consistency when compared to the standardization approaches that deal with the problem in isolation as opposed to globally. It also matches the level of detail used in large organizations for forecasting purposes. This approach is illustrated with a real case study of great dimension.

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