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Mathematical Problems in Engineering
Volume 2016, Article ID 9642018, 11 pages
Research Article

A Rough VIKOR-Based QFD for Prioritizing Design Attributes of Product-Related Service

1School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2School of Economics and Management, Beihang University, Beijing 100191, China

Received 5 April 2016; Revised 16 September 2016; Accepted 28 September 2016

Academic Editor: Ibrahim Zeid

Copyright © 2016 Xiuzhen Li and Wenyan Song. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Many manufacturers today are striving to offer high value-added product-related services (PRS) due to increasing competition and environmental pressure. PRS can reduce the negative impact on the environment, because it extends the life of products and minimizes the cost. Product and service planning has been considered as the critical factor to the success of PRS. Quality function deployment (QFD) has been recognized as an efficient planning tool which can convert customer needs (CNs) into design attributes of PRS involving product attributes (PAs) and service attributes (SAs). However, the subjective and vague information in the design of PRS with QFD may lead to inaccurate priority of PAs and SAs. To solve this problem, a novel rough VIKOR- (VIseKriterijumska Optimizaciji I Kompromisno Resenje-) based QFD is proposed. The proposed approach integrates the strength of rough number (RN) in manipulating vague concepts with less a priori information and the merit of VIKOR in structuring framework of compromise decision-making. Finally, an application in compressor-based service design is presented to illustrate the potential of the proposed method.