Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8082
Title: A QFD-based optimization method for a scalable product platform
Authors: Luo, X
Tang, J
Kwong, CK 
Keywords: Customer satisfaction
Optimization
Product platform
Quality function deployment (QFD)
Issue Date: 2010
Publisher: Taylor & Francis
Source: Engineering optimization, 2010, v. 42, no. 2, p. 141-156 How to cite?
Journal: Engineering optimization 
Abstract: In order to incorporate the customer into the early phase of the product development cycle and to better satisfy customers' requirements, this article adopts quality function deployment (QFD) for optimal design of a scalable product platform. 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 variants are developed and a QFD-based optimization approach is used to determine the optimal ECs for each product variant. 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 analysing 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. The comparison shows that, as a kind of single-stage approach, the proposed method yields better average degree of customer satisfaction due to the simultaneous optimization of platform and non-platform ECs.
URI: http://hdl.handle.net/10397/8082
ISSN: 0305-215X
DOI: 10.1080/03052150903104333
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