000 03305ntm a2200373 i 4500
001 vtls000105290
003 KUKTEM
005 20251117113402.0
008 180925t20182018my a f a m 001 0 eng d
020 _aTHE0005242(Local)
039 9 _a201905141513
_bhanafiah
_y201809251056
_zfateeha
040 _aUMP
_beng
_cUMP
_erda
090 _aFKM .H87 2018 r Thesis
100 0 _aNurul Husna Zakaria,
_eauthor.
245 1 0 _aErgonomics study on workers in electrical industry by using simulation analysis /
_cNurul Husna Zakaria
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
264 4 _c© 2018
300 _axii, 97 pages :
_billustrations (some color) ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Mechanical Engineering
502 _aThesis (Master of Science) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aErgonomics has improved the scope on safety and minimized risk at the workplace by looking into possible factors affecting product quality, work performance, and machine efficiency. According to research and statistics nowadays, there has been a cumulative concerns in quality, health and safety requirements in numerous professions and it is difficult to overlook the issues related to ergonomics risk. The most common risks identified for work are awkward posture, contact stress, wrist injury, static posture, body fatigue, twisted spine and over bending due to too far and unreachable object. Thus, this study aims to observe, investigate and analyze a working area and the workers in the manufacturing industry by using lean and ergonomic tools. The methods used are by using the Witness Simulation Software, manual Rapid Upper Limb Assessment (RULA) and RULA in Delmia Simulation Software. Based on collecting data on workers’ performance obtained from the actual manufacturing environment, simulations of these workers and statistical analysis of 23 people will be analyzed. By using the result from the first step of analysis, the sample size is reduced to 9 workers and being reduced again to 3 workers. This method will validate this finding and evaluate the exposure of individual workers to ergonomic risk factors associated with upper extremity and whole body postural. Based on the result, three workers from different processes have been selected: Toroidal Winding’s worker, Epoxy worker, and VMI worker. Those that have been selected for the simulation are experiencing MSDs risk at different level, with a score of 6, 6 and 4 by using Delmia simulation and 7, 6, and 3 by using manual assessment. By looking at the result, the relation to workers’ performance and MSDs did have a relation, but need to look at another aspect such as workload of each worker as well.
610 2 0 _aFaculty of Mechanical Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7757
_d7763
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2640*2641*3000*3360*3361*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992