Individualized product design by evolutionary algorithms

Maik Maurer, Udo Lindemann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The steady trend towards product customization requires new strategies in product design. A promising approach aims at the creation of predesigned product structures optimized for later component adaptations. Thus, if customer demands turn up, change impacts are minimized and can be easier handled in order to diminish delivery time and costs. As available methods of structure planning show disadvantages in comprehensive considerations of interdependency networks, an evolutionary algorithm based process has been developed for mediating case specific structural characteristics to the designer. In this context a fitness function has been implemented to meet the selection demands. Further, the new approach permits automated structure optimization by modifying single product dependencies. The designer obtains propositions for useful product adaptation regarding product's aptitude for later customization.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PublisherSpringer Verlag
Pages1359-1365
Number of pages7
ISBN (Print)3540288961, 9783540288961
DOIs
StatePublished - 2005
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 14 Sep 200516 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3683 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Country/TerritoryAustralia
CityMelbourne
Period14/09/0516/09/05

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