A Preliminary Study on the Application of Statistical Process Control (SPC) Towards Process Efficiency: Case Study in Food Industries

Authors

  • Mohd Fadil Mohd Yunus School of Technology Management and Logistics (STML), Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia
  • Che Azlan Taib School of Technology Management and Logistics (STML), Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia
  • Rosman Iteng School of Technology Management and Logistics (STML), Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia

DOI:

https://doi.org/10.11113/sh.v8n4-2.1055

Keywords:

Preliminary study, Statistical process control (SPC), Food industries

Abstract

Today’s in an environment that is becoming increasingly global and challenging, the small and medium entrepreneurs (SMEs) in Malaysia face new challenges with competitive, especially for strengthening the capacity and capability to enhance the performance of processing and production of high-quality products. This goal is one of the contribution through the use of a such quality tools likes statistical process control (SPC). SPC is a management tool techniques to control and improve processes in the production industry, but studies on the use of the SPC by the food industry in Malaysia is limited. The use of SPC such as control charts and analysis of process capability (Cp) enable food manufacturers to make decisions and improve quality of products produced to product defect, improve processes, ensure the reliability of the products and thus increase customer satisfaction. A survey was developed based on preliminary study for application of the SPC in the food industry involving in SMEs companies.  A total of 30 journal articles are selected for review the scenario implementation of SPC. The articles publishing on the implementation of the SPC in Malaysia focusing on non-food industry such as automotive, health services, textile, semiconductor, construction, chemical and others.  A preliminary study show the implementation of the SPC in the food industry is relevant mainly for quality improvement of food safety and enhance opportunity for security for food industry in Malaysia in the future by open global market.

References

Ab Rahman, M. N., Zain, R. M., Saibani, N., Rahman, S. A., & Nopiah, Z. M. (2010). Halangan Pelaksanaan SPC: Satu Pandangan Praktikal Daripada Syarikat Pengusaha Kecil Dan Sederhana. Journal of Quality Measurement and Analysis JQMA, 6(2), 1-17.

Abdullah, N., & Rosli, N. F. (2015). An Evaluation on Determinants ff SMEs Performance in Malaysia.

Ali Riza Motorcu, A. G. (2006). Statistical Process Control In Machining, A Case Study For Machine Tool Capability And Process Capability. Sciencedirect (Material & Design), 27, 364-372.

Antony, J., & Taner, T. (2003). A Conceptual Framework For The Effective Implementation Of Statistical Process Control. Business Process Management Journal, 9(4), 473-489.

Baharom, H. (2011). Kamus Dewan Edisi J. Kamaruzzaman, MHWH Wan, AZ Zinatul, Keempat. Kuala Lumpur: Dewan Bahasa dan Pustaka. ZAH Mohd and RMA Mohd.

Evans, J. (1991). Statistical Process Control for Quality Improvement: A Training Guide to Learning SPC: Pearson Education.

Grigg, N. P. (1998). Statistical Process Control In UK Food Production: An Overview. International Journal of Quality & Reliability Management, 15(2), 223-238.

Hubbard, M. R. (2012). Statistical Quality Control For The Food Industry: Springer Science & Business Media.

Jafri Mohd Rohani, S. r., & Mohd Yusof, I. M. (2009). Statistical Process Control Success Factors And Performance: An Exploratory Analysis. 1-28.

Juran, J., & Godfrey, A. B. (1999). Quality handbook. Republished McGraw-Hill.

Jurgen Popp, V. V. T., Arthur Chiou, Stefan Heinemann (Ed.). (2012). Part One:Process Control and Quality Assurance: 2012.

Kane, V. E. (1986). Process Capability Indices. Journal of Quality Technology, 18(1).

Lim S. and Antony J. (2013). Statistical Process Control Implementation In The Food Industry: A Systematic Review And Implications For Future Research. Proceedings of the 11th International Conference on Manufacturing Research (ICMR2013), Cranfield University, UK, 19th – 20th September 2013, 593-598.

Michael E. Gordon, J. W. P., Gregory M. Bounds & W.Steven Long. (1994). Factors Associated With The Success Of The Implementation Of Statistical Process Control. 5(1), 101-121.

Mohd Nizam Ab Rahman, R. M. Z., Afis Mohd Alias & Zulkifli Mohd Nopiah. (2015). Statistical Process Control: Best Practices In Small And Medium Enterprises. Maejo International Journal of Science and Technology, 9(02), 193-208.

Montgomery, D. C. (2005). Introduction to Statistical Quality Control, 5th edition

Phyanthamilkumaran, S. Z., Yudi Fernando. (2015). The Role of Cultural Change in the Relationship between Critical Factors with the Success of Statistical Process Control (SPC) Projects. Research Gate.

Pyzdek, T., & Keller, P. A. (2014). The Six Sigma Handbook: McGraw-Hill Education.

Rohani, J. M., Yusof, S. M., & Mohamad, I. (2009). The Relationship Between Statistical Process Control Critical Success Factors And Performance: A Structural Equation Modeling Approach. Paper presented at the 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

Sarina Abdul Halim Lim, J. A. S. A. (2014b). Statistical Process Control (SPC) in the Food Industry- A Systematic Review and Future Research Agenda.Unpublished Manuscript.

Sarina Abdul Halim Lim, J. A., Jose Arturo Garza-Reyes and Norin Arshed. (2015). Towards a Conceptual Roadmap for Statistical Process Control Implementation in the Food Industry. Trends in Food Sciences & Technology, xx, 1-13.

Thareja, P., Sharma, D., & Mahapatra, P. (2011). Total Quality Management-A Developmental Perspective. Journal of Production Research & Management, 1(1), 34-52.

Tybor, P. T., Hurst, W., Reynolds, A., & Schuler, G. (2010). Quality Control: A Model Program For The Food Industry. Bulletin-Cooperative Extension Service.

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Published

2016-12-22

How to Cite

Mohd Yunus, M. F., Taib, C. A., & Iteng, R. (2016). A Preliminary Study on the Application of Statistical Process Control (SPC) Towards Process Efficiency: Case Study in Food Industries. Sains Humanika, 8(4-2). https://doi.org/10.11113/sh.v8n4-2.1055