Development of statistical process control (SPC) matlab-based software for automotive industries application

Siti Hazlina, Mokhtar (2012) Development of statistical process control (SPC) matlab-based software for automotive industries application. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang.

[img]
Preview
Pdf
Development of statistical process control (SPC) matlab-based software for automotive industries application.pdf

Download (1MB) | Preview

Abstract

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.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Manufacturing Engineering) -- Universiti Malaysia Pahang - 2012
Uncontrolled Keywords: Process control automation
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Mr. Nik Ahmad Nasyrun Nik Abd Malik
Date Deposited: 08 Oct 2013 04:03
Last Modified: 22 Aug 2023 00:45
URI: http://umpir.ump.edu.my/id/eprint/3490
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item