Analysis of visual representation techniques for product configuration systems in industrial companies

S. Shafiee, K. Kristjansdottir, L. Hvam, A. Felfernig, A. Myrodia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, there has been an increasing demand for customized products. Product configuration systems (PCS) are introduced as one of the most successful systems of artificial intelligent for providing customized products. One of the main challenges in PCSs projects are described in relation with knowledge representations and communications with domain experts. The results presented in the paper are therefore aimed to provide insight into the impact from using visual knowledge representations techniques in PCSs projects. The findings indicate that use of visual knowledge representations techniques in PCSs projects will result in improved quality of maintenance and development support for the knowledge base and improved quality of the communication with domain experts.

Original languageEnglish
Title of host publication2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PublisherIEEE Computer Society
Pages793-797
Number of pages5
ISBN (Electronic)9781509036653
DOIs
Publication statusPublished - 27 Dec 2016
Externally publishedYes
Event2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia
Duration: 4 Dec 20167 Dec 2016

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
CountryIndonesia
CityBali
Period4/12/167/12/16

Keywords

  • Product configuration system (PCS)
  • product modelling
  • visual knowledge representation techniques

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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