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008			220428t20212021my a|||fram|| 001 0 eng d
020			_aTHE0009326(Local)
040			_aUMP _beng _cUMP _erda
090			_aKK .F39 2021 r Thesis
100	0		_aFazilah Abdul Aziz, _eauthor.
245	1	0	_aAnalytic hierarchy process and knowledge-based system integration for web-based ergonomics assessment approach in prioritizing workplace critical risk factors / _cFazilah Abdul Aziz
264		1	_aKuantan, Pahang : _bUMP, _c2021
264		4	_a© 2021
300			_axviii, 296 pages : _billustrations (some color) ; _c30 cm. + _e1 CD ROM
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
347			_atext file _bPDF _2rda
500			_aCollege of Engineering
502			_aThesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2021
504			_aIncludes bibliographical references
520	3		_aConducting workplace ergonomics risk assessment is a legal obligation for all workplaces, including automotive manufacturing plant. The needs for a competent ergonomist to study, design, and evaluate human work system is crucial. Thus, utilizing the technology of knowledge-based system (KBS) in ergonomics makes it possible for an ordinary worker to use ergonomic experts' expertise to accomplish their work accurately and efficiently without experts' assistance. This thesis presents a web-based ergonomics assessment system (W-BEAS) to evaluate and prioritize automotive workplace risks. The study's methodology under phase 1 starts with investigating dominant ergonomics risk factors in the workplace. In the preliminary study, 97 questionnaires were collected out of 120 sets to identify workplace ergonomics' performance, and the improvements demand at an automotive production plant. Under phase 1, the study continues with several methods: MSD symptom investigation, job task assessment, established studies review, domain expert knowledge analysis, and risk factors validation. Then, this study continued with establishing the analytical hierarchy process (AHP) based assessment method for prioritizing the critical ergonomic risk factors. Finally, a web-based ergonomics assessment system (W-BEAS) was developed by integrating the AHP technique, KBS, and web-based approach to evaluate automotive workplace hazards elements. The W-BEAS was developed using XAMMP software by integrating a KBS, the AHP technique and a web server that users can access from any device with an internet connection. Apache's XAMPP software is a cross-platform web-server solution stack that is free and open-source. The preliminary study results showed that about 70% of the respondents observed that employees frequently complained about their job task, and 60% or more of the respondents understood a need to improve their workplace. The investigation process for ergonomics risk factors has produced 26 dominant risk factors stored as knowledge-based for W-BEAS databased. The AHP-based evaluation method identified the organizational ergonomics are the most critical factor that leads to WMSD development in the vehicle component manufacturing plant. The critical sub-risk factors, including the level of education, physical demand at work, force exertion in job task, hand-arm vibration and low job support. The AHP-based evaluation method has validated by the consistency judgement (CR < 0.1). Different assessor groups also have shown similar first-place prioritization value, and the difference is slightly (< 0.05). Thus, the AHP-based evaluation method framework proved practical in prioritizing critical risk factors for workplace ergonomic intervention. W-BEAS applied and produced results that organisational ergonomics is the most critical and individual ergonomics is the less critical risk factor. Meanwhile, W-BEAS validation results showed that the first-place rank of risk factor produced by the W-BEAS and RPN method is comparable. W-BEAS also validated by showing the same prioritizations risk factors produced by both assessor groups. Moreover, both company users were satisfied with the W-BEAS content and system (p > 0.05). The W-BEAS's ability to assess workplace ergonomics risk factors is recognized, and ordinary workers could assess their workplace situations using the website. Therefore, W-BEAS is significant in the automotive industry that allows ergonomics risk information to be accessed and studied at the earliest stages of product and process design.
610	2	0	_aCollege of Engineering _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses
942			_2lcc _cTHESIS