##common.pageHeaderLogo.altText##
Academic Journal of Science, Engineering and Technology
Vol. 9 No. 3 (2024): May-June
Original Articles

PLANT MAINTENANCE STRATEGY FOR IMPROVED PRODUCTION IN THE FOOD AND BEVERAGE INDUSTRIES

Download
  • Onyejaka, Chidi Maurice
Onyejaka, Chidi Maurice
Department of Engineering Management, Faculty of Engineering, Enugu State University of Science and Technology, Enugu.
DOI: https://doi.org/10.5281/zenodo.12547983

Published 2024-06-26

Keywords

  • Food and Beverage Industries, Plant Maintenance, Production, Strategy, Food and Beverage Industries.

How to Cite

Onyejaka, , C. M. (2024). PLANT MAINTENANCE STRATEGY FOR IMPROVED PRODUCTION IN THE FOOD AND BEVERAGE INDUSTRIES. Academic Journal of Science, Engineering and Technology, 9(3), 58–73. https://doi.org/10.5281/zenodo.12547983

Copyright (c) 2024 Academic Journal of Science, Engineering and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

The evaluation of plant maintenance methods for improved performance in the food and beverage industries was carried out using Nigerian Bottling Company Benin and Owerri Plants and BONS Industries Limited Enugu, Nigeria. The study investigated to determine the maintenance approaches used in the food and beverage manufacturing industries and to evaluate the availability rate, performance rate, and quality rate of the manufacturing industry due to maintenance. Records on maintenance activities on Filler machines, Packers, Blow mold, Monobloc (Filler/Capper/Rinser) machines, and Palletizers were collected using record forms from the logbook for a period of five years (2017 – 2021) and this serves as the primary data for the research. The world-class Overall Equipment Effectiveness (OEE) mathematical model was used to evaluate the maintenance performance of each plant. In Nigerian Bottling Company (NBC), the Availability rate of the Filler machine ranged from 93.0% - 96.9%, the Performance rate ranged from 66.2% - 129.3% and the Quality rate was 99.9% for all the years. For BONES Industries Ltd, water production line, the Availability rate of the Monobloc machine ranged from 86.8% - 95.8%, the Performance rate ranged from 47.2% - 96.1% while the Quality rate ranged from 91.8% - 93.7%. The maintenance methods/approaches used in NBC Plants were preventive and usage while the maintenance methods/approaches used in BONS Industries equipment were Preventive and Condition-based maintenance. The Availability rate, Performance rate, and Quality rate which are the parameters to evaluate equipment maintenance performance were better in NBC than in BONS Industries. The Overall maintenance cost and cost per case are also better in NBC than that of BONS about volume produced. This recommended that companies should carry out routine preventive maintenance and usage-based maintenance such as periodic machine overhauls since the better result was obtained when compared to preventive and condition-based

Download

References

  1. Adeloye, L. (2010). Harsh Operating Environment Claims 834 Nigerian Manufacturing Companies. The Punch, 7 March, (online: http://www.jangola.com/index.php).
  2. Alsyouf I (2004). Cost Effective Maintenance for Competitive Advantage, PhD. Dissertation (Terotechnology), Sweden. Växjö University Press, Acta Wexionensia.
  3. Alsyouf I (2007). The role of maintenance in improving companies' productivity and profitability. Int. Journal of Production Economics 105(1):70-78.
  4. Al-Najjar B and Alsyouf I (2004). Enhancing a company’s profitability and competitiveness using integrated vibration-based maintenance: A case study. European Journal of Operational Research. 157: 643 – 657.
  5. Al-Najjar B, Alsyouf I, Salgado E, Khoshaba, S and Faagorg K (2001). The economic importance of maintenance planning when using vibration-based maintenance. Växjö University, Terotechnology. Växjö University, Sweden.
  6. Al-Najjar B (1997). Condition-based maintenance: Selection and improvement of a cost-effective vibration-based policy for rolling element bearings. Doctoral Thesis, Lund University, Sweden.
  7. Alter, S. (2007). The work system method: Connecting people, processes, and IT for business results. Work System Press.
  8. Bolaji B.O, Adejuyigbe S.B (2012). Evaluation of maintenance culture in manufacturing industries in Akure metropolitan of Nigeria. Journal of Information Engineering and Applications. 2(3): 37-45.
  9. Didier N (2002). “Manager Les performances”. Instep Consulting Editions, Paris.
  10. Dubrovsky, V. (2004). Toward system principles: General system theory and the alternative approach. Systems Research and Behavioral Science, 21(2), 109-122.
  11. Food and Agriculture Organization of the United Nations (FAO), (2018). Food safety and quality. Retrieved from http://www.fao.org/food-safety/en/
  12. Foon S.W and Terziovski M (2014). The impact of operations and maintenance practices on power plant performance. Journal of Manufacturing Technology Management.
  13. Igbokwe NC, Godwin H.C (2021). Maintenance performance evaluation and downtime analysis of manufacturing equipment in a food manufacturing company. Journal of Engineering Research and Reports. 20(11): 100-107.
  14. Jain A, Bhatti R, Singh H (2013). Improvement of Indian SMEs through TPM implementation- An empirical study. in an international conference on advances in mechanical Engineering.1-7.
  15. Kirkpatrick, D. L. (2006). Improving employee performance through appraisal and coaching (2nd Ed.). New York. pp. 66–69.
  16. Ludarig K (1968) Performance Measurement System Design – A Literature Review and Research Agenda. Int J of Oper and Prod Manag 15(4): 80–116.
  17. Maletič D, Maletič M, Al-Najjar B, Gomišček B (2014) "The role of maintenance in improving company's competitiveness and profitability: A case study in a textile company", Journal of Manufacturing Technology Management, Vol. 25, No. 4, pp.441 - 456
  18. Martinelli, D. P. (2001). Systems hierarchies and management. Systems Research and Behavioral Science, 18(1), 69-82.
  19. Mifdal L, Hajej Z, Dellagi S, Rezg N (2013). An optimal production planning and maintenance policy for a multiple-product and single machine under failure rate dependency. IFAC proceedings, Volumes (IFAC-PapersOnline).
  20. Oba P. (2008). Materials Management in Nigeria. Business Day, 04 March, p.23.
  21. Ondiek GO (2009). Assessment of Materials Management in the Kenyan Manufacturing Firms – Exploratory Survey of Manufacturing Firms Based in Nairobi. Journal of Social Sciences, 22(8).
  22. Oseghale, G.E (2014). Impact of Maintenance Strategies on the Performance of Industrial Facilities in Selected Industrial Estates in Lagos State, Nigeria. American Journal of Engineering Research (AJER) Volume-03, Issue-08, pp-171-179.
  23. Piotrowski J (2001). Pro-Active Maintenance for Pumps, Archives, February 2001, Pump-Zone.com [Report online]. Available URL: http://www.pump-zone.com.
  24. Skyttner, L. (1996). General systems theory: Ideas and applications. World Scientific Publishing Co.
  25. Steele, G. R. (2003). Critical systems thinking and the methodologies of contemporary management. Management Decision, 41(8), 821-828.
  26. Uforo A. E, Usoro M.U and Baridam D (2022) Maintenance Management and Organizational Performance in Selected Manufacturing Firms, Akwa Ibom State. International Journal of Business and Management Review, Vol.10, No.4, pp.37-59.

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.