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


KILIÇ DELİCE E., CAN G. F.

Soft Computing, cilt.24, sa.9, ss.15093-15110, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 9
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s00500-020-05143-9
  • Dergi Adı: Soft Computing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC, zbMATH
  • Sayfa Sayıları: ss.15093-15110
  • Anahtar Kelimeler: Ergonomic risk assessment, Best-worst method, KEMIRA-M, MOORA, MOOSRA, COPRAS, TPOP, LOW-BACK-PAIN, PERFORMANCE EVALUATION, SELECTION, SUSTAINABILITY, TRANSITION, EXPOSURE, EQUATION, WEIGHTS, DESIGN, TASKS
  • Atatürk Üniversitesi Adresli: Evet

Özet

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.