International Journal of Industrial Engineering and Management

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut ero labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco.

GUIDE FOR AUTHORS SUBMIT MANUSCRIPT
Vol. 7 No. 4 (2016)
Original Research Article

Finding Suitable Amount of Variety for Product Platforms

Slavomir Bednar
Technical University of Kosice, Faculty of Manufacturing Technologies
Bio
Vladimir Modrak
Technical University of Kosice, Faculty of Manufacturing Technologies
Bio

Published 2016-12-30

abstract views: 9 // FULL TEXT ARTICLE (PDF): 0


Keywords

  • complexity,
  • customization,
  • design,
  • platform,
  • product

How to Cite

Bednar, S., & Modrak, V. (2016). Finding Suitable Amount of Variety for Product Platforms. International Journal of Industrial Engineering and Management, 7(4), 195–203. https://doi.org/10.24867/IJIEM-2016-4-122

Abstract

The development of methods to identify the optimal product variety of a product platform is an important research issue in mass customization. A product platform which includes a wide portfolio of modules or components allows customers to customize their product by expressing a lot of different requirements. However, certain requirements may be constrained each other thus bringing customers to be disappointed by unfeasible product configurations. The present article explores the possibility of using entropy-based measures for quantifying the complexity induced by product variety in the context of constrained product configuration. More specifically, this article proposes a method which usesentropy-based measures to decide the optimal variety for product platforms. This method characterises a given product platform comparing the entropy associated to the feasible productconfigurations with the entropy associated to the unfeasible product configurations. Computational experiments performed on two case applications show that the proposed method can be effectively used to quantify variety-induced complexity and to assist product managers to choose optimal product variety.

 

Article history: Received (09.11.2016); Revised (25.11.2016); Accepted (21.12.2016)  

PlumX Metrics

Dimensions Citation Metrics