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Approaches to Product Variety Management Assuming Configuration Conflict Problem
Kosice Faculty of Manufacturing Technologies, Slovakia.
Linköping University, Department of Management and Engineering, Fluid and Mechanical Engineering Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2315-0680
Technical University of Kosice Faculty of Manufacturing Technologies,Slovakia.
2015 (English)In: FME Transactions, ISSN 1451-2092, Vol. 43, no 4, 271-277 p.Article in journal (Refereed) Published
Abstract [en]

Complexity problems in mass customized manufacturing are frequently discussed and analysed in order to find suitable methods to optimize extent of product varietes. Moreover, product designers have to consider also constraint satisfaction problem, since some serious conflicts may occur when requirements of the customer are specified based on a wide portfolio of modules or components and given configurations cannot be found. The main scope of this paper is to explore the possibilities of using axiomatic design theory and entropy based measures for quantifying product variety induced complexity. For this purpose, two approaches will be applied on a real case. Then a comparison and analysis of obtained results are included. Computational experiments showed that proposed approaches offer comparable results and can be effectively used to quantify varietyinduced complexity in terms of mass-customized manufacturing.

Place, publisher, year, edition, pages
Belgrade, 2015. Vol. 43, no 4, 271-277 p.
Keyword [en]
information entropy, complexity, configuration, variety, axiomatic design
National Category
Production Engineering, Human Work Science and Ergonomics Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-123625DOI: 10.5937/fmet1504271OAI: oai:DiVA.org:liu-123625DiVA: diva2:890157
Available from: 2015-12-31 Created: 2015-12-31 Last updated: 2016-01-12

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Publisher's full texthttp://www.mas.bg.ac.rs/_media/istrazivanje/fme/vol43/4/01_modrak_et_al.pdf

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Krus, Petter
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Fluid and Mechanical Engineering SystemsFaculty of Science & Engineering
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