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Developing a new BWM-based GMAFMA approach for evaluation of potential risks and failure modes in production processes
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering. Department of Industrial Engineering and Management, Shahrood University of Technology, Luleå, Sweden.ORCID iD: 0000-0002-6524-0975
Department of Industrial Engineering and Management, Shahrood University of Technology, Luleå, Sweden.
Department of Industrial Engineering and Management, Shahrood University of Technology, Luleå, Sweden.
2020 (English)In: International Journal of Quality & Reliability Management, ISSN 0265-671X, E-ISSN 1758-6682Article in journal (Refereed) Epub ahead of print
Abstract [en]

Purpose

Nowadays, the risk assessment and reliability engineering of various production processes have become an inevitable necessity. Because if these risks are not going to be evaluated and no solution is going to be taken for their prevention, managing them would be really hard and costly in case of their occurrence. The importance of this issue is much higher in producing healthcare products due to their quality's direct impact on the health of individuals and society.

Design/methodology/approach

One of the most common approaches of risk assessment is the failure mode and effects analysis (FMEA), which is facing some limitations in practice. In this research, a new generalized multi-attribute failure mode analysis approach has been proposed by utilizing the best–worst method and linguistic 2-tuple representation in order to evaluate the production process of hemodialysis solution in a case of Tehran, Iran.

Findings

According to the results, entry of waste to the mixing tanker, impurity of raw materials and ingredients and fracture of the mixer screw have been identified as the most important potential failures. At last, the results of this research have been compared with the previous studies.

Originality/value

Some reinforcement attributes have been added to the traditional FMEA attributes in order to improve the results. Also, the problems of identical weights for attributes, inaccuracy in experts' opinions and the uncertainties in prioritizing the potential failures were improved. Furthermore, in addition to the need for less comparative data, the proposed approach is more accurate and comprehensive in its results.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2020.
Keywords [en]
Risk assessment, Linguistic 2-tuple representation, Best–worst method, Generalized multi-attribute failure mode analysis
National Category
Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-78855DOI: 10.1108/IJQRM-09-2018-0230ISI: 000529781000001Scopus ID: 2-s2.0-85084194395OAI: oai:DiVA.org:ltu-78855DiVA, id: diva2:1429602
Available from: 2020-05-12 Created: 2020-05-12 Last updated: 2020-05-14

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Kolagar, Milad

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