Application of a Computer Based System for Statistical Process Control in a Semiconductor Company : A Case Study

Authors

  • Nor Kamaliana Khamis Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor
  • Baba Md Deros Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor
  • Nizaroyani Saibani Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor
  • Syamsinar Baizura Ahmad Sabki Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor

DOI:

https://doi.org/10.11113/jt.v59.2570

Keywords:

Statistical process control, quality, semiconductor company, control limit

Abstract

The use of Statistical Process Control (SPC) in the manufacturing process has been historically proven to increase the quality of the product. Recent trends show that companies are becoming increasingly reliant on computer based-SPC because it can save a significant amount of time compared with traditional SPC. In addition, labor-intensive tasks, such as manual data collection and entry, can be eliminated, thus reducing human error. This paper aims to prove the benefits of computer based system for SPC known as e-SPC in a semiconductor manufacturing environment. Specifically, this paper will present the case study‟s finding that show how one semiconductor manufacturing company‟s use of e-SPC can detect a process abnormality at an early stage and in real time compared with manual SPC. The case study involves interviews with the company representatives and observations on the manufacturing environment. This paper will also show how e-SPC can be used to control and then to stabilize the manufacturing operation. In conclusion, this paper demonstrates that e-SPC can significantly improve the performance of a manufacturing environment. Moreover, this paper can also be used as a reference for the implementation of e-SPC in any company.

References

Anthony, J., Balbontin, A. and Taner, T. 2000. Key Ingredients for the Effective Implementation of Statistical Process Control. Integrated Manufacturing System. 49: 242–247.

Rodriguez, R. N. 1994. Recent Issues in Statistical Process Control: SASâ Solutions Using Statistical Modeling Procedures. SAS Institute Inc.

Dale, B. 1994. Managing Quality. Eaglewood Cliffs: Prentice Hall.

Rahman, M. N., Mohd Zain, R., Mohd Nopiah, Z., A. Ghani, J., Deros, B. M., Mohamad, N. and Ismail, A. R. 2009. Implementation of SPC in Malaysian Manufacturing Companies. European Journal of Scientific Research. 26(3): 453–464.

Giligan, S. & Walters, M. 2008. Quality Improvements in Hospital Flow May Lead to a Reduction in Mortality. Clinical Governance: An International Journal. 13(1): 26–34.

Law, T. H., Radin Umar, R. S., Wong, S. V. 2005. The Malaysian Government‟s Road Accident Death Reduction Target For Year 2010. IATSS Research. 29(1): 42–49.

Cartwright, G. & Hogg, B. 1996. Measuring Processes for Profit. The TQM Magazine. 8(1): 26–30.

Rahman, M. N., Mohd Zain, R., Mohd Nopiah, Z. & Abdul Rahman, S. 2009. Knowledge Translation of SPC in Malaysian SMEs Companies from Academic Point of View. Seminar (III), Advanced Manufacturing Research Group, UKM, 29 July 2009. 1–14.

Das, S. R., Yaylacicegi, U. & Canel, C. 2008. Using ISO 90003 for Software Design and Development in Large Virtual Teams. Industrial Management & Data Systems. 108(6): 775–793.

McCarthy, B. L. and Wasusri, T. 2002. A Review of Non-standard Application of SPC Charts. International Journal of Quality & Reliability Management. 19(3): 295–320.

Rahman, M. N., Mohd Zain., R., Abdul Rahman, S. and Mohd Nopiah, Z. 2010. Best Practices for Manufacturing Company in Managing Quality Control Using Smes-SPC System. International Journal of Industrial & Systems Engineering.

Ahmad, S. and Hassan, M. 2003. Survey and Case Investigations on Application of Quality Management Tools and Techniques in SMIs. International Journal of Quality and Reliability Management. 20(7): 795–826.

Rahman M. N., Mohd Zain., R. Mohd Nopiah, Z. and Abdul Rahman, S. 2009. Improving Process Performance through Statistical Quality Tools. Journal of Quality Measurement and Analysis. 5(2): 1–12.

Rahman, M. N., Mohd Zain, R. & Mohd Nopiah, Z. 2009. Design an Online SMEs-SPC Computer Based System. International Conference on Information Management and Engineering (ICIME), Seri Kembangan, April 2009. 437–440.

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Published

2012-10-15

How to Cite

Application of a Computer Based System for Statistical Process Control in a Semiconductor Company : A Case Study. (2012). Jurnal Teknologi, 59(2). https://doi.org/10.11113/jt.v59.2570