A competitive market environment requires enterprises from the food industry to emphasize quality aspects in improving the process, quality and performance of the company. This goal is achievable by implementing a statistical quality control tool through a quality management practice program. However, a literature review on quality management and quality improvement from this industry in Malaysia is still unclear, especially on the assessment tool for statistical quality control (SQC). The main purpose of the study was to contribute in terms of review and observation of the statistical quality control implementation through tools or techniques of quality management. Research begins with a question of relationship quality improvement with the implementation of statistical quality control among small medium enterprises in the food industry. A questionnaire approach was conducted to obtain responses among food industry consisting of microenterprises, small and medium in northern Malaysia. The statistical analysis found that the knowledge and application of SQC tool implementation are moderate with score 39.87 (knowledge index) and 35.12 (application index). This study helps to SMEs in knowledge transfer activities through the technical support and guidance needed as a preparation in facing the future market challenges that is more competitive.
Ab Rahman, M. N., Mohd Zain, R., Mohd Alias, A., & Mohd Nopiah, Z. (2015). Statistical process control?: Best practices in small and medium enterprises. Maejo International Journal of Science and Technology, 9(2), 193–208. http://doi.org/10.14456/mijst.2015.15
Abdul Halim Lim, S., & Antony, J. (2013). Statistical Process Control Implementation in the Food Industry: A Systematic Review and Implications for Future Research. In 11th International Conference on Manufacturing Research (pp. 593–598).
Abdul Halim Lim, S., Antony, J., Garza-Reyes, J. A., & Arshed, N. (2015). Towards a Conceptual Roadmap for Statistical Process Control Implementation in the Food Industry. Trends in Food Science & Technology, 44(1), 117–129. http://doi.org/10.1016/j.tifs.2015.03.002
Abdullah, N., & Rosli, N. F. (2015). An Evaluation on Determinants of Smes Performance in Malaysia. South East Asia Journal of Contemporary Business, Economics and Law, 7(2), 16–23.
Alpay, E., Buccola, S., & Kerkvliet, J. (2002). Productivity growth and environmental regulation in Mexican and U.S. food manufacturing. American Journal of Agricultural Economics, 84(4), 887–901. http://doi.org/10.1111/1467-8276.00041
Beardsell, M. L., & Dale, B. G. (1999). The Relevance of Total Quality Management in the Food Supply and Distribution Industry: A Study. British Food Journal, 101(3), 190–201. http://doi.org/10.1108/02656710210415703
Idris, D. M. A., Ab Aziz, N. F., & Zailee, S. (2012). The Adoption of Management Systems Standards & Best Practices in Malaysia ( Current and Future Trend ). Nang Yan Busines Journal, 1(1), 105–112.
Jabatan Perangkaan Malaysia. (2016). Banci Ekonomi Sektor Pembuatan (Juali 2017). Malaysia: Jabatan Perangkaan Malaysia, Putrajaya, Malaysia. Retrieved from https://www.dosm.gov.my
Lim, S. A. H., Antony, J., & Albliwi, S. (2014). Statistical Process Control (SPC) in the food industry – A systematic review and future research agenda. Trends in Food Science & Technology, 37(2), 137–151. http://doi.org/10.1016/j.tifs.2014.03.010
Mohd Rohani, J., & Teng, C. K. (2001). Improving Quality with basic Statistical Process Control (SPC) Tools: A Case Study. Jurnal Teknologi, 35(A), 21–34. Retrieved from http://eprints.utm.my/1032/
Nigel P. Grigg, & Lesley Walls. (1999). The use of Statistical Process Control in Food Packing: Preliminary Findings and Future Research Agenda. British Food Journal, 101(10), 763–784. http://doi.org/http://dx.doi.org/10.1108/MRR-09-2015-0216
Norhasni, M., Asaad, M., Saad, R., Yusoff, Z., Kawalan, D., & Statistik, P. (2015). Hubungan Kawalan Proses Statistik ( SPC ) Terhadap Prestasi Organisasi Dengan Budaya Organisasi Sebagai Pemboleh Ubah Moderator. International Journal of Business and Technopreneurship, 5(3), 479–496.
Pereira, Z. L., Aspinwall, E., & Pereira, L. (1991). Total Quality Control in the food industry Total Quality Control in the food industry. Total Quality Management, 2(2), 123–129. http://doi.org/10.1080/09544129100000014
Sarina,Jiju, N. (2016). A Critical Assessment on SPC Implementation in the UK Food Industry. Systemics, Cybernatics and Informatics, 14(1), 37–42.
Scott, B. S., Wilcock, A. E., & Kanetkar, V. (2009). A survey of structured continuous improvement programs in the Canadian food sector. Food Control, 20(3), 209–217. http://doi.org/10.1016/j.foodcont.2008.04.008
Sekaran, U. (2013). Research methods for business. Research methods for business (Vol. 65). http://doi.org/10.1017/CBO9781107415324.004
SME Corporation Malaysia. (2016). Laporan Tahunan PKS 2015/2016. SME Corp. Kuala Lumpur, Malaysia. Retrieved from http://www.smecorp.gov.my/index.php/my/polisi/2015-12-21-09-09-49/sme-definition
Xie, M., Goh, T. N., & Cai, D. Q. (2001). An integrated SPC approach for manufacturing processes. Integrated Manufacturing Systems, 12, 134–138. http://doi.org/10.1108/09576060110361573
Yodfiatfinda, Mad Nasir, S., Zainalabidin, M., Md Ariff, H., Zulkornain, Y., & Alias, R. (2012). The Empirical Evaluation of Productivity Growth and Efficiency of LSEs in the Malaysian Food Processing Industry. International Food Research Journal, 19(1), 287–295.
Zaharuzaman Jamaluddin, Ahmad Mahir Razali, & Zainol Mustafa. (2012). Persepsi ke atas penggunaan alat dan teknik kualiti terhadap prestasi kualiti dalam industri pembuatan . Journal of Quality Measurement and Analysis (JQMA), 8(2), 1–8. Retrieved from http://www.ukm.my/jqma
Yunus, M. F. M., Taib, C. A., & Iteng, R. (2017). A Critical Assessment on the Implementation of Statistical Quality Control Tool Among SMEs Food Industry in Malaysia. International Journal of Academic Research in Business and Social Sciences, 7(10), 428-437.
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