NDLI: An Approach to the Application of the Design Structure Matrix for Assessing Reconfigurability of Distributed Manufacturing Systems

Content Provider	IEEE Xplore Digital Library
Author	Farid, A.M. McFarlane, D.C.
Copyright Year	2006
Description	Author affiliation: Inst. for Manuf., Cambridge Univ. (Farid, A.M.)
Abstract	In recent years, a large number of approaches to developing distributed manufacturing systems have been proposed. One of the principle reasons for these developments has been to enhance the reconfigurability of a manufacturing operation; allowing it to readily adapt to changes over time. However, to date, there has only been a limited assessment of the resulting reconfigurability properties and hence it remains inconclusive as to whether a distributed manufacturing system design approach does in fact improve reconfigurability. Recently, the "design structure matrix" has been proposed as a tool for assessing the modularity of elements in a distributed manufacturing system by Farid, A. and McFarlane, D. (2006). However, a clear and systematic approach to its application to distributed manufacturing systems has yet to be developed. This paper outlines such an approach in three phases: 1) definition of system boundary and functionality 2) identification of system components and finally 3) identification of interfaces between components. The use of the design structure matrix is illustrated in assessing a robot assembly cell designed on distributed manufacturing system principles
Sponsorship	IEEE Syst., Man and Cybernetics Soc. Czech Tech. Univ. in Prague
Starting Page	121
Ending Page	126
File Size	505290
Page Count	6
File Format	PDF
ISBN	076952589X
DOI	10.1109/DIS.2006.10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-15
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production systems Job shop scheduling Decision making Materials handling Control systems Software agents Intelligent agent Machine intelligence Manufacturing automation Manufacturing systems
Content Type	Text
Resource Type	Article

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