Risk Assessment in Product Design based on FMEA Approach

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.

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.

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.

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.