NDLI: Integrated approach to modularize the conceptual product family architecture

Content Provider	Springer Nature Link
Author	Zhuo, Liu Yoke San, Wong Kim Seng, Lee
Copyright Year	2006
Abstract	To meet the increasingly heterogeneous market, a product family strategy is needed to determine how customized variants can be derived from a common product platform within acceptable cost and time. Toward this, a suitably conceived and developed product family architecture (PFA) is important for implementing mass customization. In this paper, we present a systematic approach to modularize PFA at the early design phase, which is the conceptual design stage. The PFA can be viewed as a conceptual structure with the following three interrelated elements: module, variant, and coupling interface. Identifying variant as the external driver of architectural variation, this paper develops a variety index (VI) method to estimate effects of customization on the conceptual modules. Rather than just identification of module boundary in the product architecture, the proposed modularization method translates the variety source generated from requirements analysis into a dynamic configuration of the conceptual PFA, involving variety analysis, product modularization, and generation of product portfolio architecture. An example of a power tool design is used to demonstrate the proposed method.
Starting Page	83
Ending Page	96
Page Count	14
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	36
Issue Number	1-2
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-11-18
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Functional modeling Mass customization Modularization Product family architecture 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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