International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

The Selection of Investment Projects in production line by an Integrated AHP-QFD approach: A Case study

Author Affiliations

  • 1Faculty of Management, Science and research Ayatollah Amoli Branch, Islamic Azad University, IRAN
  • 2Department of Economics, Faculty of Economics and Accounting, Central Tehran Branch, Islamic Azad University, Tehran, IRAN
  • 3Department of Industrial Management, Faculty of Management and Accounting, South Tehran Branch, Islamic Azad University, Tehran, IRAN

Res. J. Recent Sci., Volume 4, Issue (9), Pages 156-164, September,2 (2015)


Most of the organizations and manufacturing and industrial companies look for new technologies and new methods of marketing and sale. The determined strategic goals in these companies and organizations showed that today, based on correct planning and decision making and by innovative approach we should take a step into competitive and global markets. Today, the successful organizations are the ones that by true perception of technology and investment method, enter the competitive market. One of the most important challenges of managers in industry is identification and selection of investment projects, decision making in this regard is faced with some problems. The present study to achieve a correct decision making in order to fulfill the satisfaction of the company management applied uniformed model based on AHP-QFD. In this model, at first the indices of customer needs are weighted and prioritized by AHP method. In the next step, technical needs are extracted and central matrix of house of quality is formed based on QFD model. By scaling method 1 to 5, correlation of customer needs and technical needs are scored. Then, by AHP method, pair wise comparison of the alternatives is done for each technical need. The final stage of this study framework is calculation of the extracted result of AHP-QFD to score the alternatives and rank the alternatives based on their importance.


  1. Sullivan L.P., Quality Function Deployment, Quality Progress,19(6), 39-50 (1986)
  2. Griffin A. and Hauser J.R., Patterns of Communications Among Marketing, Engineering and Manufacturing : A comparison between two new product teams, Management Science,38(3), 360-73 (1992)
  3. Hauser J.R. and Clausing D., The House of Quality, Harvard Business Review,66, 63-73 (1998)
  4. Zairi M. and Youssef M.A., Quality Function Deployment: A Main Pillar for Successful Total Quality Management and Product Development, International Journal of Quality and Reliability Management,12(6), 9-23 (1995)
  5. Zare Mehrjerdi Y, Quality Function Deployment and its Extensions, International Journal of Quality and Reliability Management, 27(6), 616-640 (2010)
  6. Akao Y., New product development and quality assurance: Quality deployment system, Standardization and Quality Control, 25(4), 7-14 (1972)
  7. Kochhar A.K. and Eguia F.J., A Quality Function Deployment Approach to Perfomance Measurement and Benchmarking in Manufacturing control Systems, in Morel, G., and Vernadat, F.B. (Eds), Information Control in Manufacturing (INCOM_98): Advances in Industrial Engineering: Proceedings of the 9th IFAC Symposium, June 24-26, Nancy-Metz, 2, Elsevier, Kidlington, 815-20 (1998)
  8. Saaty T., The Analytic Hierarchy Process, McGraw-Hill, New York, NY, (1980)
  9. Partovi F.Y., A Quality Function Deployment Approach to Strategic Capital Budgeting, The Engineering Economist,44(3), 239-260 (1999)
  10. Wang J. Fuzzy, Outranking Approach to Prioritiza Design Requirement in Quality Function Deployment, International Journal of Production Research,37(4),899-916 (1999)
  11. Han S.B., Chen S.K., Ebrahimpour M., and Sodhi M.S.A., Conceptual QFD planning model, International Journal of Quality and Reliability Management, 18(8),796-812 (2001)
  12. Koksal G. and Egitman A., Planning and Design of Industrial Engineering Education Quality, Computers and Industrial Engineering,35(3-4), 639-642 (1998)
  13. Chuang P.T., Combining the Analytic Hierarchy Process and Quality Function Deployment for a Location Decision from a Requirement Perspective, International Journal of Advanced Manufacturing Technology, 18(11),842-849 (2001)
  14. Bhattacharya A., Sarkar B. and Mukherjee S.K., Integrating AHP with QFD for Robot Selection Under Requirement Perspective, International Journal of Production Research,43(17), 3671-3685 (2005)
  15. Hanumaiah N., Ravi B. and Mukherjee N.P., Rapid Hard Tooling Process Selection Using QFD-AHP Methodology, Journal of Manufacturing Technology Management, 17(3), 332-350 (2006)
  16. Das D. and Mukherjee K., Development of an AHP-QFD Framework for Designing a Tourism Product, International Journal of Services and Operations Management,4(3), 321-344 (2007)
  17. Chen S.C., Yang C.C. and Lin W.T., Construction of key model for knowledge management system using AHP-QFD for semiconductor industry in Taiwan, Journal of Manufacturing Technology Management,18(5), 576-598 (2007)
  18. Lin M.C., Wang C.C., Chen M.S. and Chang A.C., Using AHP and TOPSIS Approches in Customer-Driven Product Design Process, Computer in Industry,59(1), 17-31 (2008)
  19. De Felice F. and Petrillo A., A Multiple Choice Decision Analysis : An Integrated QFD-AHP Model for the Assessment of Customer Needs, International Journal of Engineering, Science and Technology 2(9), 25-38 (2010)
  20. Anirban G, A Decision Making Model for the Selection of Capital Projects”. Castle Point on Hudson, PHD Dissertation, Faculty of the Stevens Institute of Technology, Hudson, (2009)
  21. Bakhshi T., Sarkar B. and Kumar Sanyal S., A Novel Integrated AHP-QFD Model for Software Project Selection Under Fuzziness, International Journal of Computer Application,54(7), 36-43 (2012)