New Product Development by Evaluating and Ranking Technical-Engineering Requirements Based on a Combined Approach of QFD, DEMATEL - Fuzzy ANP and DEA Methods.

Document Type : Original Article

Authors

1 M.Sc., Qazvin Branch, Islamic Azad University.

2 Assistant Professor, Islamic Azad University, Qazvin Branch.

Abstract

Nowadays, with regard to the competitiveness of the global trade and the need to meet the demands of customers, and given the increasing growth of technology in order to preserve and maintain the organization, we can use the various combinations of QFD as a powerful tool in quality engineering. . In this research, Delphi method was first used to identify the main components of the research including customer requirements and technical requirements, and then, due to the importance of weighing in the quality performance development tool, by developing a combined DEMATEL-ANP fusion decision method, and The severity of the relationships will affect the effectiveness and effectiveness of the components and weights associated with them to complete the matrix of the quality house. In order to complete the QFD method, we will use the new expansion of the Wasserman relationship. Also, in order to solve the traditional QFD problem of not considering the effect of constraints on technical engineering requirements, we will apply a combination of QFD, DEMATEL-Fuzzy ANP and DEA methods in the present study. Also, to demonstrate the effectiveness of this approach, we will consider it as a case study at the Goldiran Industry Corporation's executive washing machine production site.

Keywords


1. Azadi, M., & Farzipour Sean, R. (2013). A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare. Socio-Economic Planning Sciences, 47(4), 281-291.
2. Akbas, H., & Bilgen, B. (2017). An integrated fuzzy QFD and TOPSIS methodology for choosing the ideal gas fuel at WWTPs. Energy, 125, 484 – 497.
3. Askari, A., & Charkhkar, M. (2015). The determination and assessment of the relational efficiency indicators of Tehran City’s and Provinces’ tax affairs general directorates with data envelope analysis approach (DEA). Journal of Tax Research, 23(27), 36-62. (In Persian)
4. Berx, K., Friedl, M., Witters, M., & Hehenberger, P., (2016), A customer requirement driven framework for design synthesis - applied to a washing machine, IFAC (International Federation of Automatic Control), 49(21), 431-438.
5. Ertugrul, K. E., & Dursun, M. (2014). An integrated supplier selection methodology incorporating QFD and DEA with imprecise data. Expert Systems with Applications, 41(16), 6995-7004.
6. Farajpour, Q., & Noursalna, R. (2011). An Integrated Framework for Formulate and Implement Strategies at the Islamic Republic of Iran Postal Company. International Journal of Industrial Engineering and Production Management, 22(1), 78-90 (In Persian)
7. Farsijani, H., Arman, M. H., Hosseinbeigi, A., & Jalili, A. (2011). Data Envelopment Analysis Model with Inbound-Output Approach, Journal of Industrial Management Perspective, 1(1), 39-56.  (In Persian).
8. Fargnoli, M., & Haber, N. (2019). A practical ANP-QFD methodology for dealing with requirements’ inner dependency in PSS Development. Computers & Industrial Engineering, 127, 536-548.
9. Ho, W., He, T., Lee, C. K. M., & Emrouznejad, A. (2012). Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach. Expert Systems with Applications, 39(12), 10841-10850.
10. Hojjati, S. M. H., & Zareinejad, M. (2014). Determination of technical charactristics of products and their priority based on fuzzy QFD. Journal of Industrial Engineering & Management, Volume 1-30, No. 1, p. 137-150. (In Persian)
11. Hsu, C. H., Chang, A. Y., & Luo, W. (2017). Identifying key performance factors for sustainability development of SMEs-integrating QFD and fuzzy MADM methods. Journal of Cleaner Production, 161(10), 629-645.
12. Izadi, M., Ataeipoor, S., & Izadi, A. (2016). A novel group decision making approach to prioritize engineering characteristics in QFD process based on experts, vote. Journal of Fundamental and applied Sciences, 8(3S), 1448-1465.
13. Karimi, F., Namedar Zanganeh, S., & Shahriari, H. (2016). Presenting a framework for robustquality function development (QFD), under the codition of inputs being fuzzy. International Journal of Industrial Engineering and Production Management, 1(27), 51-67. (In Persian)
14. Khatami Firouzabadi, A., & Mazroui, E. (2011). Applying AHP to QFD to assess customer demands and rank technical and engineering requirements in Shayesteh Carpet Company. Journal of Industrial Management Perspective, 1(1), 95-111. (In Persian)
15. Liang-Hsuan, C., Wen-Chang, K., & Feng-Ting, Y. (2016). Approach based on fuzzy goal programing and quality function deployment for new product planning. European Journal of Operational Research, 259(2), 654-663.
16. Lam, J. S. L., & Lai, K. H. (2015). Developing Environmental Sustainability by ANP QFD Approach: the Case of Shipping Operations. Journal of Cleaner Production,105, 275-284.
17. Liu, H. T., & Wang, C. H. (2010). An advanced quality function deployment model using fuzzy analytic network process. Applied Mathematical Modelling, 34(11), 3333-3351.
18. Mohammadi, A., & Dastyar, H. (2014). Evaluating Efficiency of Pharmaceutical Companies and Their Ranking via Data Envelopment Window Analysis, Journal of Health Accounting, 2(3), 23-39. (In Persian)
19. Mozaffar, M. M., & Kavousi, M. (2010). Design an Entrepreneurship Development Model for Small and Medium Organizations in the Technical and Professional organization. Journal of Development Evolution Management, 5, 31 -38
20. Mozaffari, M. R. (2017). Centralized Resource Allocation Based on the Value Efficiency in Dea and Dea-R. Journal of Operations Research in Its Applications, 14(3), 117-130. (In Persian)
21. Navai Aznaveh, Z., & Omidvari, M. (2017). Safety Risk Assessment in motor vehicle industries using William Fin and DEMATEL-ANP, Iranian Occupational Health, 14(1), 58-70. (In Persian)
22. Najafi, I., Abdollah Zadeh, V., & Amiri, H. (2014). Application of CCR-BCC Model and AP Method for Determining the Efficiency and Ranking of Pasargad Oil Company Units, Scientific Monthly. Scientific-Propagative Journal of Exploration & Production Oil & Gas, 120, 19-25. (In Persian)
23. Pourmahmoud, J., & Babazadeh, B. (2017). A New Group Data Envelopment Analysis Method for Ranking Design Requirements in Quality Function Deployment. International Journal of Industrial Mathematics, 9(4), 269-278.
24. Rahmani, K., Behlouli, N., & Sadeghzadeh Youshanlouei, B. (2012). Development the Mathematical Model QFD based on Fuzzy Approach, Productivity Management (Beyond Management), 5(20), 7-33. (In Persian)
25. Radman, K. (2008). Joint of QFD & DEA & Supply Chain. Timisoara Journal of Economics, 1(3), 271-278.
26. Ramanathan, R. & Yunfeng, J. (2009). Incorporating cost and environmental factors in quality function deployment using data envelopment analysis. Omega, 37(3), 711-723.
27. Toloo, M., & Joshushani, S. (2010). GAMS User's Guide with DEA Models, University Book Publishing, p. 318. (In Persian)
28. Valipour Khatir, M., Akbarzadeh, Z., & Mohammadi Nodehaki, Z. (2015). Manufacturing Strategy Evaluation using Fuzzy QFD Approach, Journal of Industrial Management Perspective, 5(3), 169-183. (In Persian)
29. ZareAhmadabadi, H., & Ghasemi, F. (2015). Policy Making for Technology Acquisition Application of Fuzzy ANP and Fuzzy DEMATEL (Case Study: Frit Industry of YAZD Province), Journal of Production and Operations Management, 6(1), 79-98. (In Persian)
30. Zare Mehrjerdi, Y., Owlia, M. S., & Dorodzani, A. T., (2012). Evaluation and Ranking the Relative Importance of Design Requirements by Combining QFD and DEA Techniques (Case Study: Tile Industry of Iran). International Journal of Industrial Engineering and Production Management. 23(2), 176-186. (In Persian)