A QFD-based optimization method for scalable product platform

Xinggang Luo, Jiafu Tang, Chun Kit Kwong

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

5 Citations (Scopus)


In order to incorporate customer into the early phase of the product development cycle and to better satisfy customers’ requirements, this research adopts quality function deployment (QFD) for optimal design of scalable product platform and product family. A five-step QFD-based method is proposed to determine the optimal values for platform engineering characteristics (ECs) and non-platform ECs of the products within a product family. First of all, the houses of quality (HoQs) for all product profiles are developed and a QFD-based optimization approach is used to determine the optimal ECs for each product profile. Sensitivity analysis is performed for each EC with respect to overall customer satisfaction (OCS). Based on the obtained sensitivity indices of ECs, a mathematical model is established to simultaneously optimize the values of the platform and the non-platform ECs. Finally, by comparing and analyzing the optimal solutions with different number of platform ECs, the ECs with which the worst OCS loss can be avoided are selected as platform ECs. An illustrative example is used to demonstrate the feasibility of this method. A comparison between the proposed method and a two-step approach is conducted on the example.
Original languageEnglish
Title of host publicationAdvances in Product Family and Product Platform Design
Subtitle of host publicationMethods and Applications
PublisherSpringer New York
Number of pages23
ISBN (Electronic)9781461479376
ISBN (Print)9781461479369
Publication statusPublished - 1 Jan 2014

ASJC Scopus subject areas

  • Engineering(all)


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