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

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dc.authoridKarasan, Ali/0000-0002-5571-6554
dc.authorwosidERDOGAN, Melike/L-6949-2013
dc.authorwosidKarasan, Ali/U-3966-2017
dc.contributor.authorKarasan, Ali
dc.contributor.authorErdogan, Melike
dc.date.accessioned2021-12-01T18:48:05Z
dc.date.available2021-12-01T18:48:05Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractApplying 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 of the methods frequently used to take precautions against failures caused by high variability in this type of sector is failure mode and effects analysis (FMEA). In this study, a hybrid FMEA approach is proposed so as to take measures against failures in the textile sector where there are high-quality differences due to its structure and failures frequently occurred. Since the different combinations of risk parameters' scores may produce the same risk degree based on the function of the FMEA's basis, misleading results for the risk analysis in the practical risk management can be occurred. Moreover, the risk priority number (RPN) function has a limitation in the weight determining process, since it assigns the equal weight for each risk parameter in the classical FMEA. To overcome these shortcomings in the RPN calculation for the risks in the FMEA approach, a multi-criteria decision-making (MCDM) approach is applied under the framework of fuzzy logic. Through that, in this study, we aimed to prove an expert system based on the rules that specifically focusing on the risk sources of the woven fabric industry. To create such a rule-based system, inputs are generated using fuzzy AHP and modified fuzzy TOPSIS. A case study is carried out with the method proposed in a textile mill, and it is determined which risks arising from failures are higher. For the validation of the results, a comparative analysis is conducted. Moreover, for the robustness of the decisions, one-at-a-time sensitivity analysis with respect to different scenarios are applied. As a result of the analyses, it is shown that our proposed model can be used as an efficient proactive risk calculator for the managers or researchers to make useful inferences, judgments, and decisions of the production processes for eliminating the shortcomings of the traditional FMEA.en_US
dc.identifier.doi10.1007/s40747-020-00246-0
dc.identifier.endpage959en_US
dc.identifier.issn2199-4536
dc.identifier.issn2198-6053
dc.identifier.issue2en_US
dc.identifier.startpage941en_US
dc.identifier.urihttps://doi.org/10.1007/s40747-020-00246-0
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10452
dc.identifier.volume7en_US
dc.identifier.wosWOS:000605851500003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofComplex & Intelligent Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFMEAen_US
dc.subjectFuzzy setsen_US
dc.subjectAHPen_US
dc.subjectTOPSISen_US
dc.subjectFuzzy inference systemen_US
dc.subjectTextile industryen_US
dc.subjectFuzzy Inference Systemen_US
dc.subjectDecision-Making Methodsen_US
dc.subjectOccupational-Healthen_US
dc.subjectFailure Modeen_US
dc.subjectSafetyen_US
dc.subjectIndustryen_US
dc.subjectFmeaen_US
dc.subjectAhpen_US
dc.subjectEnvironmenten_US
dc.subjectTopsisen_US
dc.titleCreating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing planten_US
dc.typeArticleen_US

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