Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86338
Title: Novel Two-Phase Approach for Process Optimization of Customer Collaborative Design Based on Fuzzy-QFD and DSM
Authors: Liu, Aijun
Hu, Hesuan
Zhang, Xiao
Lei, Deming
Keywords: Coupled Activities
Customer Collaborative Design
Issue Date: 2017
Source: Liu, A., Hu, H., Zhang, X., & Lei, D. (2017). Novel Two-Phase Approach for Process Optimization of Customer Collaborative Design Based on Fuzzy-QFD and DSM. IEEE Transactions on Engineering Management, 64(2), 193-207.
Series/Report no.: IEEE Transactions on Engineering Management
Abstract: In response to fast-growing and rapidly changing global markets, launching new products faster than competitors does not only assist enterprises in acquiring a larger market share, but also in reducing development lead time. However, owing to the intrinsically uncertain properties of new product development management, manufacturing companies often struggle with the dilemma of whether to increase product variety or control manufacturing complexity. This paper proposes a novel two-phase method to assist an enterprise in achieving a customer collaborative product design. In the first phase, quality function deployment, which is based on fuzzy multicriteria decision making and suppliers' budget constraints, is presented to maximize customers' satisfaction. In the second phase, an effective approach is proposed to determine the appropriate sequence of several coupled activities with the minimum total feedback time in a design structure matrix. Finally, a real case is used to illustrate the overall applicability of the approach. The optimization results show the effectiveness and superiority of the proposed method over other reported methods in the literature.
URI: https://hdl.handle.net/10356/86338
http://hdl.handle.net/10220/44019
ISSN: 0018-9391
DOI: http://dx.doi.org/10.1109/TEM.2017.2651052
Rights: © 2017 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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