Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

Abstract Applying risk assessment approaches to improve quality in enterprises is of great importance especially for sectors that are labor-intensive and thus frequently encountered failures. One the methods used take precautions against failures caused by high variability this type sector failure mode effects analysis (FMEA). In study, a hybrid FMEA approach proposed so as measures textile where there high-quality differences due its structure occurred. Since different combinations parameters’ scores may produce same degree based on function FMEA’s basis, misleading results practical management can be Moreover, priority number (RPN) has limitation weight determining process, since it assigns equal each parameter classical FMEA. To overcome these shortcomings RPN calculation risks approach, multi-criteria decision-making (MCDM) applied under framework fuzzy logic. Through that, we aimed prove an expert system rules specifically focusing sources woven fabric industry. create such rule-based system, inputs generated using AHP modified TOPSIS. A case study carried out with method mill, determined which arising from higher. For validation results, comparative conducted. robustness decisions, one-at-a-time sensitivity respect scenarios applied. As result analyses, shown our model efficient proactive calculator managers or researchers make useful inferences, judgments, decisions production processes eliminating traditional