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.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Change history
05 August 2020
Table 14. Weights of MOORA Ratio, MOORA reference point, MOOSRA and COPRAS methods.
References
Abadi F, Sahebi I, Arab A, Alavi A, Karachi H (2018) Application of best-worst method in evaluation of medical tourism development strategy. Decis Sci Lett 7(1):77–86
ACGIH (2001) Hand activity level. In: 2001 TLVs and BEIs. ACGIH, Cincinnati, Ohio
Ahmadi HB, Kusi-Sarpong S, Rezaei J (2017) Assessing the social sustainability of supply chains using Best Worst Method. Resour Conserv Recycl 126:99–106
Arslan N, Delice EK (2018) KEMIRA-M yöntemi ile kişisel kullanicilar için dron seçimi: bir uygulama. Endüstri Mühendisliği Dergisi, Ankara in press
Bairagi B, Dey B, Sarkar B, Sanyal SK (2015) A De Novo multi-approaches multi-criteria decision making technique with an application in performance evaluation of material handling device. Comput Ind Eng 87:267–282
Bera AK, Janab DK, Banerjeec D, Nandyd T (2020) A group evaluation method for supplier selection based on Interval Type-2 fuzzy TOPSIS method. Int J Bus Perform Supply Chain Model (in press)
Brauers WKM, Zavadskas EK (2006) The MOORA method and its application to privatization in a transition economy. Control Cybern 35(2):443–468
Corlett EN (1981) Pain, posture and performance. Stress Work Des Prod 3:27–42
da Costa BR, Vieira ER (2010) Risk factors for work-related musculoskeletal disorders: a systematic review of recent longitudinal studies. Am J Ind Med 53(3):285–323
Das MC, Sarkar B, Ray S (2012) Decision making under conflicting environment: a new MCDM method. Int J Appl Decis Sci 5:142–162
David G, Woods V, Li G, Buckle P (2008) The development of the Quick Exposure Check (QEC) for assessing exposure to risk factors for work-related musculoskeletal disorders. Appl Ergon 39(1):57–69
Gupta H (2018) Evaluating service quality of airline industry using hybrid best worst method and VIKOR. J Air Transp Manag 68:35–47
Heart SG, Staveland LE (1986) NASA task load index (TLX). Human Performance Res. Grp. NASA Ames Res. Center, Moffett Field, CA, USA, Computerized Version v1. 0
Hignett S, McAtamney L (2000) Rapid entire body assessment (REBA). Appl Ergon 31(2):201–205
Javad MOM, Darvishi M, Javad AOM (2020) Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: a case study of Khouzestan steel company. Sustain Futures 2
Kaklauskas A, Zavadskas EK, Raslanas S, Ginevicius R, Komka A, Malinauskas P (2006) Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: a Lithuanian case. Energy Build 38:454–462
Kemeny JG (1959) Mathematics without numbers. Daedalus 88(4):577–591
Kheybari S, Kazemi M, Rezaei J (2019) Bioethanol facility location selection using best-worst method. Appl Energy 242:612–623
Kosareva N, Zavadskas EK, Krylovas A, Dadelo S (2016) Personnel ranking and selection problem solution by application of KEMIRA method. Int J Comput Commun Control 11(1):51–66
Krylovas A, Zavadskas EK, Kosareva N (2016) Multiple criteria decision-making KEMIRA-M method for solution of location alternatives. Econ Res Ekon istraživanja 29(1):50–65
Krylovas A, Zavadskas EK, Kosareva N, Dadelo S (2014) New KEMIRA method for determining criteria priority and weights in solving MCDM problem. Int J Inf Technol Decis Mak 13(06):1119–1133
Liao H, Mi X, Yu Q, Luo L (2019) Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing. J Clean Prod 23:657–667
Lu ML, Waters TR, Krieg E, Werren D (2014) Efficacy of the revised NIOSH lifting equation to predict risk of low-back pain associated with manual lifting: a one-year prospective study. Hum Factors 56(1):73–85
Mattila M, Karwowski W, Wilkki M (1993) Analysis of working psotures in hammering tasks on building construction sites using the computerized OWAS method. Appl Ergon 24(6):405–412
McAtamney L, Corlett EN (1993) RULA: a survey method for the investigation of work-related upper limb disorders. Appl Ergon 24(2):91–99
Mi X, Tang M, Liao H, Shen W, Lev B (2019) The state-of-the-art survey on integrations and applications of the best worst method in decision making: why, what, what for and what’s next? Omega 87:205–225
Moore S, Garg A (1995) The strain index: a proposed method to analyze jobs for risk of distal upper extremity disorders. Am Ind Hyg Assoc J 56:443–458
Occhipintini E (1998) OCRA: a concise index for the assessment of exposure to repetitive movements of the Upper Limb. Ergonomics 41:1290–1311
Pamučar D, Petrović I, Ćirović G (2018) Modification of the best-worst and MABAC methods: a novel approach based on interval-valued fuzzy-rough numbers. Exp Syst Appl 91:89–106
Ren J, Liang H, Chan FT (2017) Urban sewage sludge sustainability and transition for eco-city: multi-criteria sustainability assessment of technologies based on best-worst method. Technol Forecast Soc Change 116:29–39
Rezaei J (2015) Best- worst multi criteria decision making methods. OMEGA 53:49–57
Rezaei J (2016) Best-worst multi-criteria decision-making method: some properties and a linear model. Omega 64:126–130
Sarıçalı G (2018) Çok kriterli karar verme yöntemlerinden KEMIRA-M ve COPRAS yöntemlerinin mermer işletmesinde makine seçim sürecine uygulanması. Master’s thesis, Pamukkale Üniversitesi Sosyal Bilimleri Enstitüsü, Turkey
Sarıçalı G, Kundakcı N (2017) Forklift Alternatiflerinin KEMIRA-M Yöntemi ile Değerlendirilmesi. Optim J Econ Manag Sci 4(1):35–53
Shojaei P, Haeri SAS, Mohammadi S (2018) Airports evaluation and ranking model using Taguchi loss function. Best-worst method and VIKOR technique. J Air Transp Manag 68:4–13
Snook SH, Ciriello VM (1991) The design of manual handling tasks: revised tables of maximum acceptable weights and forces. Ergonomics 34(9):1197–1213
Toktaş P, Can GF (2018) Şantiyelerin İş Sağlığı ve Güvenliği Açısından Risk Düzeylerine Göre KEMIRA-M Yöntemi ile Sıralanması. Ergonomics 1(3):123–136
Toktaş P, Can GF (2019) Stochastic Kemira-M approach with consistent weightings. Int J Inf Technol Decis Mak 18(03):793–831
Van Nieuwenhuyse A, Fatkhutdinova L, Verbeke G, Pirenne D, Johannik K, Somville Mairiaux P, Moens GF, Masschelein R (2004) Risk factors for first-ever low back pain among workers in their first employment. Occup Med 54:513–519
Washington State Department of Labour Industries. Hazard zone jobs checklist. Retrieved January 24, 2008. http://www.lni.wa.gov/wisha/ergo/evaltools/HazardZoneChecklist.PDF
Waters TR, Putz-Anderson V, Garg A, Fine LJ (1993) Revised NIOSH equation for the design and evaluation of manual lifting tasks. Ergonomics 36(7):749–776
Williams JC (1988). A data-based method for assessing and reducing human error to improve operational performance. In: Conference record for 1988 IEEE fourth conference on human factors and power plants. IEEE, pp 436–450
Yazdi AK, Komijan AR, Wanke PF, Sardar S (2020) Oil project selection in Iran: a hybrid MADM approach in an uncertain environment. Appl Soft Comput 88:106066
You X, Chen T, Yang Q (2016) Approach to multi-criteria group decision-making problems based on the best-worst-method and ELECTRE method. Symmetry 8(9):95
Zavadskas EK, Turskis Z, Kildienė S (2014) State of art surveys of overviews on MCDM/MADM methods. Technol Econ Dev Econ 20(1):165–179
Zhang H, Yin C, Qi X, Zhang R, Kang X (2017) Cognitive best worst method for multiattribute decision-making. Mathemat Probl Eng 2017:11. https://doi.org/10.1155/2017/1092925
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that there is no conflict of interest regarding the publication of this paper.
Additional information
Communicated by V. Loia.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The original article has been updated: Due to Table 14 and Equation 11 update.
Rights and permissions
About this article
Cite this article
Delice, E.K., Can, G.F. A new approach for ergonomic risk assessment integrating KEMIRA, best–worst and MCDM methods. Soft Comput 24, 15093–15110 (2020). https://doi.org/10.1007/s00500-020-05143-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-020-05143-9