National Changhua University of Education Institutional Repository : Item 987654321/15834
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6507/11669
Visitors : 30054487      Online Users : 619
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/15834

Title: A Constrained Evolutionary Search Formalism for Remote Design with Modules
Authors: Liang, Wen-Yau;O'Grady, Peter
Contributors: 資訊管理學系
Date: 2000
Issue Date: 2013-03-12T04:15:05Z
Publisher: Taylor&Francis
Abstract: The potential benefits of modular design over conventional design include economies of scale, increased feasibility of product/component change, increased product variety, and reduced order lead-time. The benefits of modular design have not gone unnoticed, and it is becoming evident that companies are increasingly seeking to use this modular approach. Important research issues in the area of design with modules center around the central theme of selecting modules to satisfy customer requirements. However, while modular product design would appear to be an attractive proposition, little work has been done on these research issues, particularly for the relatively common design environment where modules may be available from one or more geographically dispersed sources, and where data concerning the modules may be in a multitude of databases scattered across the globe. Under these circumstances, it becomes necessary to search through the databases using a network, such as the Internet, for feasible subsets of the set of candidate modules. Such a search can be difficult due to the heavily constrained environment that encompasses much design activity. This paper addresses these issues by proposing a design with modules algebra and new constrained crossover and constrained mutation operators that aim to permit an evolutionary approach to operate effectively in such an environment, and thus to produce a population of feasible designs that aim to maximize (or minimize) a given objective function. The implementation of this approach is described with an example of personal computer design, where the designer is remote from the databases and communication is carried out over the Internet. Some results on the convergence of the approach are shown.
Relation: International Journal of Computer Integrated Manufacturing, 13(2): 65-79
Appears in Collections:[Department of Information Management] Periodical Articles

Files in This Item:

File SizeFormat
index.html0KbHTML552View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback