An Integrated Approach for Innovative Product Development and Optimal Manufacturer Selection

10.6186/IJIMS.2013.24.2.2

Chang-Hsien Hsu；Chun-Ming Yang；Chih-Te Yang；Kuen-Suan Chen

New product development ； manufacturer selection ； QFD ； TOPSIS

International Journal of Information and Management Sciences

24:2（2013 / 06 / 01）

107 - 116

英文

This study develops an integrated process model for innovative product development and optimal manufacturer selection by incorporating quality function deployment (QFD) and the technique for order of preference by similarity to ideal solution (TOPSIS), referred to as the ”QFD-TOPSIS-method-based approach.” First, QFD is applied to determine the importance weights of customer requirements (CRs) and rank the technical importance of engineering characteristics (ECs). Next, the particular EC and its results are regarded as the criteria and weights into TOPSIS, respectively. Finally, the TOPSIS method is adopted to evaluate and select the optimal manufacturer for implementing innovative product development. A case study is used to illustrate the procedure of the proposed method. The method proposed in this study can not only determine the evaluation criteria and weights of TOPSIS using QFD results, but can also help design and produce more sophisticated products and reduce search cost and time for selecting the optimal manufacturer.

1. ˙I¸c, Y. T.(2012).An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies.Robotics and Computer-Integrated Manufacturing,28,245-256.
2. Akao, Y.,Mazur, Glem(trans.)(1990).Quality function deployment: Integrating customer requirements into product design.Cambridge, Massachusetts:Productivity Press.
3. Bottani, E.,Rizzi, A.(2006).Strategic management of logistics service: A fuzzy QFD approach.International Journal of Production Economics,103,585-599.
4. Chang, C. H.,Lin, J. J.,Lin, J. H.,Chiang, M. C.(2010).Domestic open-end equity mutual fund performance evaluation using extended TOPSIS method with different distance approaches.Expert Systems with Applications,37,4642-4649.
5. Chang, S. H.,Tseng, H. E.(2008).Fuzzy Topsis decision method for configuration management.International Journal of Industrial Engineering: Theory Applications and Practice,15,304-313.
6. Hauser, J. R.(1993).How Puritan-Bennett Used the House of Quality.Sloan Management Review,34,61-70.
7. Hsiao, S. W.(2002).Concurrent design method for developing a new product.International Journal of Industrial Ergonomics,29,41-55.
8. Hwang, C. L.,Yoon, K.(1981).Multiple Attribute Decision Making: Methods and Applications.New York:Springer-Verlag.
9. Jahanshahloo, G. R.,Lotfi, F. H.,Davoodi, A. R.(2009).Extension of TOPSIS for decision-making problems with interval data: Interval efficiency.Mathematical and Computer Modelling,49,1137-1142.
10. Kwong, C. K.,Bai, H.(2002).A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment.Journal of Intelligent Manufacturing,13,367-377.
11. Kwong, C. K.,Chen, Y.,Bai, H.,Chan, D. S. K.(2007).A methodology of determining aggregated importance of engineering characteristics in QFD.Computers and Industrial Engineering,53,667-679.
12. Lai, X.,Xie, M.,Tan, K. C.,Yang, B.(2008).Ranking of customer requirements in a competitive environment.Computers and Industrial Engineering,54,202-214.
13. Lyman, D.(1990).Deployment Normalization.2nd Symposium on QFD,:
14. Tu, C. S.,Chang, C. T.,Chen, K. K.,Lu, H. A.(2012).Applying an AHP-QFD conceptual model and zero-one goal programming to requirement-based site selection for an airport cargo logistics center.International Journal of Information and Management Sciences,21,407-430.
15. Yang, Y. Q.,Wang, S. Q.,Dulaimi, M.,Low, S. P.(2003).A fuzzy quality function deployment system for buildable design decision-makings.Automation in Construction,12,381-393.
16. Yurdakul, M.,˙I¸c, Y. T.(2009).Application of correlation test to criteria selection for multi criteria decision making (MCDM) models.International Journal of Advanced Manufacturing Technology,40,403-412.
17. Zhai, L. Y.,Khoo, L. P.,Zhong, Z. W.(2009).A rough set based QFD approach to the management of imprecise design information in product development.Advanced Engineering Informatics,23,222-228.