Using cause and Effect Diagram to Survey the Cause of Bankruptcy and Slump Domestic Industries by QFD & FMEA Approach

Subject Areas : Industrial Management

Mohammad Amin HesamiNezhad ¹ , Mahnaz Zarei ² , Mohammad Bagher Moayedi ³

1 - MSc. Student, Department of Industrial (Industrial engineering), Shiraz Branch, Islamic Azad University, Shiraz, Iran
2 - Assistant Prof., Department of Industrial (Industrial engineering), Shiraz Branch, Islamic Azad University, Shiraz, Iran
3 - MSc. Student, Department of Industrial (Industrial engineering), Shiraz Branch, Islamic Azad University, Shiraz, Iran

Received: 2016-04-03 Accepted : 2016-07-18 Published : 2016-08-25

Keywords:

Abstract :

In paying attention to the recent years, domestic industries encounter severe slump and some of them has become insolvent, some are also at the beginning of bankruptcy. The existence of a research that would be able to applicability and simply show the causes of domestic industries bankruptcy, and make it flexible to the government`s honorable attendants, congress representatives, judicature, and other governmental and private organizations, has been less seen. Therefore, the writers of this article have tried at the first step to extract the main causes of bankruptcy and slump domestic industries from the writing and speeches of country`s attendants and experts and specialists. At the second step, the causes are presented to specialists and advisers of Ministry of Industry and Mining. Then by using Quality Function Deployment (QFD) and Failure Mode and Effect Analysis (FMEA) more than 90 problems are extracted, classified and prioritized, and then the obtained results are used as input to draw cause and effect diagram (fishbone diagram). In this article to draw cause and effect diagram, the bankruptcy causes and slump domestic industries are categorized into 8 parts: 1. government, 2. domestic industries, 3. goods smuggling, 4. bank, 5. judicature, 6. Congress, 7. environment, and 8. people. On the one hand, this diagram can simply show the domestic industries problems based on their importance and on the other hand specify the related organizations to solve the problems. This current research from the viewpoint of purpose is an active research and from the aspect of approach and nature is a descriptive-applicable research in which the library approach is used to gather information, and also experts judgment are used for validity and reliability.

References:

1. Almannai, B., Greenough, R. & Kay, J. (2008). A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies. Robotics and Computer-Integrated Manufacturing, 24(4), 501-507.


2. Amiri, A. H. & Koosha, M. (2012). Statistical quality control. Tehran: Negeah e danesh.


3. Biglarbeygi, F. (2004). Designing of a model for determine critical defects of a product by FMEA, QFD & Pareto_Ishikawa Techniques. The fifth international conference on Quality Managers in Tehran.


4. Chen, L. & Ko, W. (2009). Fuzzy linear programming models for new product design using QFD with FMEA. Applied Mathematical Modeling, 33(2), 633-647.


5. Chen, Sh. & Yang, Ch. (2004). Applications of Web-QFD and E-Delphi method in the higher education system. Human Systems Management, 23(4), 245-256.


6. Chen, Sh. (2016). Determining the service demands of an aging population by integrating QFD and FMEA method. Quality & Quantity, 50(1), 283-298.


7. Gaeini, A. & Zavar Sabegh, M. H. (2013). Statistical quality control. Tehran: Harekat e no.


8. Hassan, A., Siadat. A., Dantan, J. & Martin, P. (2010). Conceptual process planning – an improvement approach using QFD, FMEA, ABC methods. Robotics and Computer-Integrated Manufacturing, 26 (4), 392-401.


9. Korayem, M.H. & Ervani, A. (2008). Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches. Robotics and Computer-Integrated Manufacturing, 24(3), 472-487.


10. Lin, W.T., Chen, S.C., Jang, H.F. & Wu, H.H. (2006). Performance evaluation of introducing QS-9000 to the Taiwanese semiconductor industry. The International Journal of Advanced Manufacturing Technology, 27 (9&10), 1011–1020.


11. Maleki, A. R., Zohor, A. R., Ebadifard Azar, F., Rezaie, K., & Ebadian, M. (2010). An integrated approach in healthcare system in accordance with QFD/ FMEA. Payesh Journal, 9(2), 117-130.


12. Puglieri, F. N. & Ometto, A. R. (2011). Environmental and operational analysis of ecodesign methods based on QFD and FMEA. Glocalized Solutions for Sustainability in Manufacturing: Proceeding of the 18th CIRP International Conference on Life Cycle Engineering, Germany, May 2nd-4th, 142-147


13. Sullivan, L. P. (1986). Quality function deployment. Quality Progress, 25(1), 39–50.


14. Tay, K. M. & Lim, Ch. P. (2006). A guided rules reduction system for prioritization of failures in fuzzy FMEA. Applications of Soft Computing, 36(1), 301-310.