NDLI: Manufacturing mode selection in knowledgeable manufacturing during product life cycle

Content Provider	Springer Nature Link
Author	Ma, K. P. Yan, H. S.
Copyright Year	2007
Abstract	Despite certain unpredictable factors, a mapping relationship can be constructed between the manufacturing mode and the characters of product life cycle (PLC). The PLC data and the corresponding manufacturing modes of similar products can be stored in a chronological knowledge base for later reference or application, thereby providing a reliable basis for the selection of optimal manufacturing modes for new products. Product demand, production lead time and inventory are defined as the PLC characters, which can be approximated by unimodal or antiunimodal functions. The approximate matching functions, whose monotonicity and ranges are demonstrated by the proofs of propositions 1–3, are constructed to normalize the PLC characters and match the sample data of the new product with those of the original. Three algorithms for clustering, approximate matching and re-matching are proposed for the matching of the characteristic values of a new product with those of a similar one in the knowledge base for optimal mode selection. The validity of this method has been tested by a practical example.
Starting Page	1191
Ending Page	1199
Page Count	9
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	37
Issue Number	11-12
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-06-14
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Knowledgeable manufacturing Product life cycle Manufacturing mode Self-learning Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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