Risk Assessment in Product Design based on FMEA Approach

Subject Areas : Sustainable Development

Mohammad Reza Fathi ¹ , Mohammad Hasan Maleki ² , Zahra Tahmasebi ³

1 - Assistant Professor, Department of Management and Accounting, College of Farabi, University of Tehran, Qom, Iran *(Correspondence Author)
2 - Assistant Professor, Department of Management and Economic, University of Qom, Qom, Iran
3 - M.S of Industrial Management, Department of Management and Economic, University of Qom, Qom, Iran

Received: 2016-10-28 Accepted : 2017-01-18 Published : 2020-12-21

Keywords: Fuzzy VIKOR, Decision making, Risk Assessment, FMEA, Promethee, product design, AHP, Multi-Criteria Approach,

Abstract :

Background and Objective: Due to rapid changes in the status of competitors, technology and customer preferences, companies cannot always rely on their existing products. Customers are looking for products with better quality and more advanced and offer new products and companies are forced to respond to the needs, tastes and expectations of our customers, one of the important ways to supply quality products and good performance in product design, failure analysis or risk assessment. Method: this article evaluate the performance of the product components in the computer services industry to the risks and possible consequences in terms of product identification and rank. For risk assessment, data were collected from ten experts of scientific competence and to complete the decision-making matrix. Fuzzy multi-criteria decision-making methods were used for data analysis. These methods in Microsoft Excel were used. Findings: Based on fuzzy VIKOR results, the A5 in the fuzzy approach has the lowest value of Qi and therefore performs better than other options. Based on the results of the fuzzy PROMETHEE, the A4 in the fuzzy risk assessment is larger than φ (a) and therefore performs better than other options. Discussion and Conclusion: Based on fuzzy VIKOR result, A5 is better compared to other options. Based on the results of fuzzy PROMETHEE A4 is better compared to other options.  

References:

1. Farsijani, H., Shabani, A & Torabipour, M.R. (2009). Investigation the role of critical factors in product design to achieve world-class production. The Covenant of Managers. PP. 59-63.


2. Ulrich, K. T. (2011). Design is everything?. Journal of Product Innovation Management, 28(3), 394-398.


3. Yazdipour, J. (2012). Analytical review of Indicator models of engineering design and industrial design trends. Artwork, No. 7. PP. 73-88.


4. Atkinson, J., & Jourdan, C. (2008). How principles-based risk assessment enables Organizations to take the right risks. PricewaterhouseCoopers LLP.


5. Gul, M., & Guneri, A. F. (2016). A fuzzy multi criteria risk assessment based on decision matrix technique: a case study for aluminum industry. Journal of Loss Prevention in the Process Industries, 40, 89-100.


6. Marhavilas, P.K. & Koulouriotis, D. & Gemeni, V. (2011). Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000-2009. Journal of Loss Prevention in the Process Industries, NO. 24, PP.477-523.


7. Filippi, S., & Cristofolini, I. (2009). The design guidelines collaborative framework: a design for Multi-X method for product development. Springer Science & Business Media.


8. Wang, Y.-M., et al. (2009). "Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean." Expert Syst Appl. Vol.36, (2, Part 1), PP. 1195-1207.


9. Zhou, Q., & Thai, V. V. (2016). Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure prediction. Safety Science, 83, 74-79.


10. Liu, H.-T. and Tsai,Y.-l. (2012). A fuzzy risk assessment approach for occupational hazards in the construction industry. Safety Sci. Vol. 50, NO. 4, PP. 1067-1078.