American Journal of Operations Management and Information Systems

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Economic Implications of Statistical Quality Control: Lessons for Manufacturers in Nigeria

Received: 25 July 2018    Accepted: 09 August 2018    Published: 04 September 2018
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Abstract

This study examined the economic implications of statistical quality control. It applied the literature study method. The study highlights the methods of statistical quality control as well as the economic benefits derivable from the use of and adherence to the processes of quality control in general and scientific and statistical quality control in particular. Quality consciousness, consumers’ satisfaction, cost reduction and optimum utilization of resources are some of the numerous economic benefits of scientific and statistical quality control. While wastages, decrease in sales and decrease in profitability are some adverse economic implementations of the absence of or neglect to use statistical quality control in an organization. The campaign for quality assurance should be driven to the grass root for all and sundry, especially the manufacturing sector, to become conversant with the need for quality products, services and results delivery. This will make their product compete favourably with foreign products.

DOI 10.11648/j.ajomis.20180302.14
Published in American Journal of Operations Management and Information Systems (Volume 3, Issue 2, June 2018)
Page(s) 61-65
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Quality, Quality Control, Economic Benefits and Economic Implications

References
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[5] Colledani, M., and Tolio, T. (2006). Impact of Quality Control on Production System Performance Annals - Manufacturing Technology 55(1):453-456.
[6] Flynn, B. B., Schroeder, R. G and Sakakibara, S. (1995). The Impact of Quality Management Practices on Performance and Competitive Advantage Decision Sciences September.
[7] Trondheim. Ograjenšek, I. (1998). The Role of Statistical Quality Control in the Total Quality Management System. Master Thesis. University of Ljubljana, Faculty of Economics. Ljubljana.
[8] Lakhal, L., Pasin, F. and Limam, M. (2006) "Quality management practices and their impact on performance", International Journal of Quality & Reliability Management, Vol. 23 Issue: 6, pp. 625-646, https://doi.org/10.1108/02656710610672461
[9] Ogedengbe, F. A., Ogedengbe, E., Okhakhu, C. O. and Ewanlen, D. O. (2018). Business Forecasting Imperatives in a Depressed Economy: A Nigeria Case. American Journal of Operations Management and Information Systems. 3(2), 2018, pp. 46-51.
[10] Priyanka Sharma (2015) retrieved 27/07/2018 https://www.infogix.com/blog/top-5-data-mining-techniques/
[11] K. E. McKone, R. G. Schroeder and K. O. Cua, "The impact of total productive maintenance practices on manufacturing performance," Journal of Operations Management 19, pp. 39-58, 2001.
[12] Q. Hu, R. Mason, S. J. Williams and P. Found, "Lean implementation withing SMEs: a literature review," Journal of Manufacturing Technology Management 26(7), pp. 980-1012, 2015.
[13] S. Pavnaskar, J. Gershenson and A. Jambekar, "Classification scheme for lean manufacturing tools," International Journal of Production Research, 41, pp. 3075-3090, 2003.
[14] A. N. A. Wahab, M. Mukhtar and R. Sulaiman, "A conceptual model of Lean manufacturing dimensions," in The 4th International conference on Electrical Engineering and Informatics 2013, Selangor, Malaysia, 2013.
[15] R. Panizzolo, P. Garengo, M. K. Sharma and A. Gore, "Lean manufacturing in developing countries: evidence from Indian SMEs," Production Planning & Control: The management of operations 23 (10-11), pp. 769-788, 2012.
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Author Information
  • Department of Business Administration and Management, Auchi Polytechnic, Auchi, Nigeria

  • Department of Accountancy, Auchi Polytechnic, Auchi, Nigeria

  • Department of Production Engineering, University of Benin, Benin City, Nigeria

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  • APA Style

    Frank Alaba Ogedengbe, Esther Ogedengbe, Godwin Chukunede Ovuworie. (2018). Economic Implications of Statistical Quality Control: Lessons for Manufacturers in Nigeria. American Journal of Operations Management and Information Systems, 3(2), 61-65. https://doi.org/10.11648/j.ajomis.20180302.14

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    ACS Style

    Frank Alaba Ogedengbe; Esther Ogedengbe; Godwin Chukunede Ovuworie. Economic Implications of Statistical Quality Control: Lessons for Manufacturers in Nigeria. Am. J. Oper. Manag. Inf. Syst. 2018, 3(2), 61-65. doi: 10.11648/j.ajomis.20180302.14

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    AMA Style

    Frank Alaba Ogedengbe, Esther Ogedengbe, Godwin Chukunede Ovuworie. Economic Implications of Statistical Quality Control: Lessons for Manufacturers in Nigeria. Am J Oper Manag Inf Syst. 2018;3(2):61-65. doi: 10.11648/j.ajomis.20180302.14

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  • @article{10.11648/j.ajomis.20180302.14,
      author = {Frank Alaba Ogedengbe and Esther Ogedengbe and Godwin Chukunede Ovuworie},
      title = {Economic Implications of Statistical Quality Control: Lessons for Manufacturers in Nigeria},
      journal = {American Journal of Operations Management and Information Systems},
      volume = {3},
      number = {2},
      pages = {61-65},
      doi = {10.11648/j.ajomis.20180302.14},
      url = {https://doi.org/10.11648/j.ajomis.20180302.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajomis.20180302.14},
      abstract = {This study examined the economic implications of statistical quality control. It applied the literature study method. The study highlights the methods of statistical quality control as well as the economic benefits derivable from the use of and adherence to the processes of quality control in general and scientific and statistical quality control in particular. Quality consciousness, consumers’ satisfaction, cost reduction and optimum utilization of resources are some of the numerous economic benefits of scientific and statistical quality control. While wastages, decrease in sales and decrease in profitability are some adverse economic implementations of the absence of or neglect to use statistical quality control in an organization. The campaign for quality assurance should be driven to the grass root for all and sundry, especially the manufacturing sector, to become conversant with the need for quality products, services and results delivery. This will make their product compete favourably with foreign products.},
     year = {2018}
    }
    

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    AB  - This study examined the economic implications of statistical quality control. It applied the literature study method. The study highlights the methods of statistical quality control as well as the economic benefits derivable from the use of and adherence to the processes of quality control in general and scientific and statistical quality control in particular. Quality consciousness, consumers’ satisfaction, cost reduction and optimum utilization of resources are some of the numerous economic benefits of scientific and statistical quality control. While wastages, decrease in sales and decrease in profitability are some adverse economic implementations of the absence of or neglect to use statistical quality control in an organization. The campaign for quality assurance should be driven to the grass root for all and sundry, especially the manufacturing sector, to become conversant with the need for quality products, services and results delivery. This will make their product compete favourably with foreign products.
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