Submit your paper : editorIJETjournal@gmail.com

Paper Title : Development of Computer Program for the Prediction of Electrical Energy Consumption Effect on Production and Failure Rates of Lubcon Oil Production Line

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.6773535

Authors: Olorunnishola, A. A. G and Oladebeye, D. H

         


Abstract
A computer program based on a generated model equation was developed by using JavaScript programming language to predict the expected value of the electrical energy consumption as a function of production and equipment failure rates. By comparing the primary data from Lubcon oil industry, Ilorin, Kwara state with the simulated data, it was discovered that the simulated electrical energy consumption is lower than the actual. In view of the data obtained from Lubcon Oil, it can be seen that increase in equipment failure brings about increase in energy consumption while the production rate might not actually increase. Therefore, if Lubcon Oil industry can reduce its failure rate by 3% or 5%, there will be significant reduction in the electrical energy consumed which will in turn lead to reduction in unit cost of production of oil. Hence, it is recommended that adequate attention be paid to preventive maintenance so as to forestall sudden breakdowns.

Reference
Adenikinju. J.K. (2005), The Industrial Machine Efficiency and the Disadvantages of Electricity Failure in Nigeria, Manufacturing Sector, TK printing press, Garki, Abuja. Alam M.S. (2006). Economic Growth with Energy, African Economic Research Paper148, February 2005, Nairobi, Kenya. Al-Najjar, B., and Alsyouf, I. (2004). Enhancing a company’s profit ability and competitiveness using integrated vibration-based maintenance: A case study, European Journal of Operational Research, 157(3): 643-657. Amir yasseen Mahdi (2013), algorithm and flow chart development, India. Asatu-Adjaye, I. (2000), Singapore and Indonesia Industrial Development, Casualty of Energy Consumption and Economic Growth, McCulloch's Contemporary Aboriginalart. The complete guide; p,154. Karanovi, V V et al (2018). “Benefit of lubricant oil analysis for maintenance decision support”: a case study, Centre of Industrial Management, Celestijnenlaan 300A, 3001 Heverlee, Belgium OP Conf. Ser.: Mater. Sci. Eng. 393 012013. Iwayemi, B.D. (1988), Relevance of Energy Sector (Electricity) in the Socio- economic Development of Nigeria, Torise printing press, Sango, Ogun state. Lee, T. and Anaas, C.T. (2007), Electrical Power in Industries in Relation with Cost of Infrastructure, India. American Journal of Electricity, 86, 225. Retrieved on July 8th, 2017 from proquest. Micaecla, D., Gabrile, B., & Behnoush, D. (2018). Using field data for energy efficiency based on maintenance and operation optimization. Muhammed, S., and Smilia, M. (2014). A systematic literature review of software process improvement in small and medium web companies. Odell, M.L. (1965), Electricity as a Basic Form of Energy, Energy Conversion and Industrial Energy Usage (vols.123), London, England; Allen & Unwin. Ogunjobi, O.A. (2015), Electricity Consumption in Industries and Productivity Growth; Greenline Publishers, Akure, p, 35. Oke, O.T. (2006), The Supply of Electrical Energy in Firms, Greenline Publishers, Akure; pp, 24-26. Sanchins, W.F. (2007), Electrical Effect on the Factors of Production and its Output in Relation to Manufacturing Processes and Equipment, Western Australia (cat. no. 4326.5). Retrieved from AusStats: http://www.abs.gov.au/ausstats on september 17th, 2017. Ziemerink, R.A. and Bodenstein, C.P. (10th July 1998), “Utilising Works Control Network for Factory Communication to Improve Overall Equipment Effectiveness”. IEEE International Symposium on Industrial Electronics Proceedings ISIE, pp. 684 - 689.
Keywords
- Computer program, prediction, electrical energy consumption, production rate, failure rate, lubricating oil.