Affiliations: [a] Department of Ergonomics, Health Faculty, Qom University of Medical Sciences, Qom, Iran
| [b] Department of Occupational Health, Work Health Research Centre, Qom University of Medical Sciences, Qom, Iran
| [c] Department of Industrial Management, Management Faculty, Qom University, Qom, Iran
| [d] Department of IT Engineering, Engineering Faculty, Qom University, Qom, Iran
Correspondence:
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Address for correspondence: Alireza Koohpaei, Department of Occupational Health, Work Health Research Centre, Qom University of Medical Sciences, Qom, Iran. Mob./Tel.: +98 9122522066/+98 2537835522; Fax: +98 2537833361; E-mail: [email protected]/[email protected].
Abstract: BACKGROUND: In order to evaluate occupational disorders and ergonomic problems in a workplace, Multiple Criteria Decision Making (MCDM) problem solving methods such as Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) can be utilized. OBJECTIVE: In this paper, Musculoskeletal Disorder (MSD) risk factors were evaluated in a manufacturing company in Iran by a method called Assessment of Repetitive Tasks (ART) of the upper limbs integrated with Fuzzy TOPSIS in order to prioritize the corrective actions. METHODS: This study was done with a descriptive-analytical approach. The company under study had 240 employees who were working in seven different shops. Out of all tasks, 13 tasks were included in the study. Required information was gathered by a demographic questionnaire and ART method. Also, Fuzzy TOPSIS was utilized for the prioritization of the company shops based on the ergonomic control needs. RESULTS: Data analysis from ART indicated that 74.6% of the reviewed tasks were high risk. Based on the F- TOPSIS-ART results, Production shop prioritized as the highest need for MSD control. CONCLUSIONS: Because there is time and financial resources limit in ergonomic control activities, a fuzzy prioritization approach such as Fuzzy TOPSIS ART can be used to take advantage of the available resources and control risks to as low as reasonably practicable (ALARP) level.
