000 02147nam a2200241 a 4500
001 vtls000066496
003 KUKTEM
005 20251114204527.0
008 121119t2012 my d f m 000 0 eng d
020 _aTHE0007522(Local)
039 9 _a201905161451
_bfawwaz
_c201212050949
_dhuda
_y201211191236
_zhuda
040 _aUMP
090 _aTS156.8 .H39 2012 rs Bc.
100 0 _aSiti Hazlina Mokhtar
245 1 0 _aDevelopment of statistical process control (SPC) matlab-based software for automotive industries application /
_cSiti Hazlina Mokhtar
260 _aKuantan, Pahang :
_bUMP,
_c2012
300 _axviii, 74 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Manufacturing Engineering) -- Universiti Malaysia Pahang - 2012
504 _aIncludes bibliographical references
520 _aThis project is motivated by an interest in promoting the use computer-based statistical process control (SPC) in manufacturing sector specifically for automotive industries in Malaysia. The use of computer-based SPC is essential in quality function. They are capable to perform various operations or tasks very accurately at fast speeds. SPC techniques are simple statistical techniques to help identify process problems and it can be implemented as simple as analyzing data and plotting charts. However, the development of SPC in Malaysian small and medium-sized enterprises (SMEs) is found lacking because they remain to use traditional SPC techniques which the data are calculated and analyzed manually. Consequently, manual work on traditional SPC has focused on particular limitations; with only little quality faults are detectable, time-consuming and burdensome. This paper highlights the results of an effort to design the SPC computer-based system for conducting simple statistical analysis. The system named as MagNa version 1.0 MATLAB-based software, which is able to offer more benefits to the Malaysian SMEs specifically for automotive industries application.
650 0 _aProcess control
_xAutomation
999 _aVIRTUA40
_c3568
_d3574
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992