Title :
Design an Online SMEs-SPC Computer Based System
Author :
Zain, R. Mohd ; Rahman, M. N Ab ; Nopiah, Z. Mohd
Author_Institution :
Dept. of Mech. & Mater. Eng., Univ. Kebangsaan Malaysia, Bangi
Abstract :
The company´s quality goals would be achieved by the successful implementation of statistical process control (SPC) techniques. SPC techniques are simple statistical techniques to help identify process problems and it can be implemented as simple as analyzing data and plotting charts. This paper highlights the results of an effort to design the SPC computer-based system for conducting simple statistical analysis.The system named as SMEs-SPC (small and medium enterprises - statistical process control), which is able to offer more benefits to the Malaysian SMEs. The preliminary study involved interviews with company representatives, as well as observations on their environment. This paper is a continuation of our previous study which focused on issues concerning design and development of online SMEs-SPC system. This paper has offered some suggestions for developing the SMEs-SPC system, for example, enables users little statistical training to perform simple statistical analysis, users at all levels will be able to access data at flexible times; reduce time to input and retrieval historical data, prevent errors in calculation, trigger out-of-control data automatically and avoid late information on out-of-control event in production. The value of this study should be particularly useful to SME manufacturing firms that are contemplating the adoption of advance manufacturing technology.
Keywords :
control engineering computing; small-to-medium enterprises; statistical analysis; statistical process control; data analysis; online SMEs-SPC computer based system; small-to-medium enterprises; statistical analysis; statistical process control techniques; Companies; Computer aided manufacturing; Computer integrated manufacturing; Control charts; Data analysis; Design engineering; Information management; Manufacturing processes; Process control; Statistical analysis; SME; SPC; design; online database; quality; system;
Conference_Titel :
Information Management and Engineering, 2009. ICIME '09. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-3595-1
DOI :
10.1109/ICIME.2009.35