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A new approach for ergonomic risk assessment integrating KEMIRA, best–worst and MCDM methods

Authors
  • Delice, Elif Kılıç1
  • Can, Gülin Feryal2
  • 1 Atatürk University, Erzurum, Turkey , Erzurum (Turkey)
  • 2 Başkent University, Erzurum, Turkey , Erzurum (Turkey)
Type
Published Article
Journal
Soft Computing
Publisher
Springer-Verlag
Publication Date
Jul 14, 2020
Volume
24
Issue
19
Pages
15093–15110
Identifiers
DOI: 10.1007/s00500-020-05143-9
Source
Springer Nature
Keywords
License
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Abstract

In this study, a new three-phase ergonomic risk assessment approach was proposed for manual lifting tasks to determine which worker has the highest ergonomic risk level considering two criteria sets as lifting-related criteria and human-related criteria. In the first phase, Modified Kemeny Median Indicator Ranks Accordance (KEMIRA-M) and a novel two-dimensional best–worst method (BWM) integration were proposed for weighting ergonomic risk criteria in two sets. In this way, weighting procedure of KEMIRA-M was advanced by the proposed two-dimensional BWM in a consistent manner and subjectivity in determining the best and the worst criteria in traditional BMW was prevented by using KEMIRA-M. Thus, the weaknesses of both methods have been developed. In the second phase, the rankings of workers were determined via utilizing multi-objective optimization on the basis of simple ratio analysis, multi-objective optimization by ratio analysis (MOORA) ratio, MOORA reference point and complex proportional assessment to see how worker rankings differ despite using the same advanced weighting approach based on KEMIRA-M and two-dimensional BWM integration. Finally, to aggregate these different ranking results, technique of precise order preference was applied. In this way, different viewpoints of each ranking approach can be reflected on a single worker’s priority. The applicability of the proposed ergonomic risk assessment approach was demonstrated with a real application in tube manufacturing.

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