A knowledge-based ergonomics assessment system for WMSD prevention using AHP methodology

Fazilah, Abdul Aziz and Zakri, Ghazalli and Mohd Jawad, Mohd Jamil and Awanis, Romli and N. M. Zuki, N. M. (2018) A knowledge-based ergonomics assessment system for WMSD prevention using AHP methodology. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 161-173. ISBN 9789811087875

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Abstract

This research develops a knowledge-based ergonomics assessment system (KBEAS) that measure and predicts the degree of criticality of risk factors related to work-related musculoskeletal disorders (WMSD). Predicting WMSD individual risk level provides critical decision support information to occupational safety and health (OSH) practitioners in the ergonomic analysis. The KBEAS is based on the analytic hierarchy process (AHP) methodology. The current study integrates AHP method with real workplace ergonomics risk data and design web-based system assisting a sensible multi-criteria WMSD related risk factors. The objectives involve knowledge acquisition performed through preliminary study, MSD symptom study, literature analysis, and tacit knowledge analysis and practitioner survey to identify the ergonomics risk factors that include individual, organizational, physical and psychosocial. The application of this system shows that the design of the proposed KBEAS for WMSD risk factors has been validated and gets each risk factors weight easily by using AHP. The study findings showed that ‘organizational ergonomics risk factors’ is more critical than other factors. The overall prioritization revealed that ‘exposure to physical demands’ had a priority vector of 26.33%, and it was perceived as the item with the most critical factor. The KBEAS could help the user to make an objective judgement on the subjective description and get the correct result of the ergonomics risk factors.

Item Type:	Book Chapter
Additional Information:	Index by Scopus
Uncontrolled Keywords:	Active vibration control; Biomechatronics; Autonomous systems; Fault detection; Manufacturing mechatronics; MEMS and NEMS
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery
Faculty/Division:	Centre For Modern Languages and Human Sciences Faculty of Computer System And Software Engineering Faculty of Manufacturing Engineering
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	06 Aug 2018 07:19
Last Modified:	20 Jun 2019 03:28
URI:	http://umpir.ump.edu.my/id/eprint/21713
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