02147nam a2200241 a 4500 vtls000066496 KUKTEM 20251114204527.0 121119t2012 my d f m 000 0 eng d THE0007522(Local) 201905161451 fawwaz 201212050949 huda 201211191236 huda UMP TS156.8 .H39 2012 rs Bc. Siti Hazlina Mokhtar Development of statistical process control (SPC) matlab-based software for automotive industries application / Siti Hazlina Mokhtar Kuantan, Pahang : UMP, 2012 xviii, 74 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Manufacturing Engineering) -- Universiti Malaysia Pahang - 2012 Includes bibliographical references This 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. Process control Automation 0 0 0 1 20000 20000 2019-09-04 0 TS156.8 .H39 2012 rs Bc. 0000067459 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 6287 | TS156.8 .H39 2012 rs Bc. 0000067460 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 3568 3574 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992