000 03727nam a2200349 i 4500
999 _c96300
_d96306
003 MY-KuUP
005 20251125105945.0
006 a||||fr|||| 001 0
007 ta
008 220223t20212021my a|||fram|| 001 0 eng d
020 _aTHE0009210(Local)
040 _aUMP
_beng
_cUMP
_erda
090 _aKK .S53 2021 r Thesis
100 0 _aAhmad Shah Hizam Md Yasir,
_eauthor.
245 1 0 _aDevelopment framework of assembly line simulation and optimization for special purpose vehicle /
_cAhmad Shah Hizam Md Yasir
264 1 _aKuantan, Pahang :
_bUMP,
_c2021
264 4 _a© 2021
300 _axxi, 213 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 _aDefence automotive vehicle, also known as a special purpose vehicle (SPV) is a highly fabricated type of vehicle. Many research have focused on commercial vehicle production system rather than the manufacturing of special purpose vehicle. Due to that, there is lesser specific study focused on optimised solution for special purpose vehicle manufacturing. This research focuses on the performance of an existing production line for Malaysia's defence automotive manufacturing industry. The main issues that arise from observation and data collections are; firstly, delivery is always behind schedule and secondly, the human factor that contributes to the increase of rejected parts and slowdown of the production line. As such, this research aims to develop a new framework which can optimise the production efficiency for the armoured vehicle assembly line. In the present work, this study has been executed into several stages. Firstly, performs correlated data gathering in an industrial premise and develops the simulation procedure. Secondly, analysis of current production layout by using WITNESS and workers working posture using DELMIA simulation have been done. The simulation data was verified by comparing it with the actual industrial data. Then, by using systematic layout planning (SLP), the alternatives layout was proposed. Next, assembly line balancing was performed using Kilbridge and Wester method to the chosen layout. By utilising evaluation of line balancing equations, results show that the proposed layout improved line balance efficiency from 35% to 99%, balance delay from 0.65 to 0.01, and smoothness index from 115.7 to 1.82. In the third stage, the chosen alternative layout was analysed using WITNESS simulation. The result shows the production output increasing between 23% to 75% in the range from 3 to 24-month production simulation. The workers working condition was measured using DELMIA simulation following which an improvement was made in actual working conditions. Rapid upper limb assessment (RULA) shows that the improved working postures are acceptable with a score between 1 and 2. The result was validated using Ovako working analysis system (OWAS). In the final stage, by utilising both simulation techniques, a framework was developed. The proposed framework was validated by 5 experts chosen from various automotive industries background. The suggested framework may empower in the growth of total output in a manufacturing system, especially in special purpose vehicle manufacturing.
610 2 0 _aCollege of Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDissertations
650 0 _aTheses
942 _2lcc
_cRESTRICT