IIARD International Institute of Academic Research and Development

International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 8 NO. 3 2022
DOI: https://doi.org/10.56201/ijemt.v8.no3.2022.pg24.36

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Overall Equipment Effectiveness (OEE) and Reliability Analysis of the Water Supply Systems in Bonny Island

Pius Mbaebie, Barinyima Nkoi, & Elemchukwu O. Isaac

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Abstract

Bonny Island is an island surrounded by water with 24 hours electricity and a home to many multinational companies, but Bonny is yet to boast of more than 2 hours of water supply in a day which is barely enough for individuals and businesses without adequate storage to carry out their daily activities. This research work used Overall Equipment Effectiveness OEE and the reliability analysis to evaluate the operational losses and also to know the factors militating water supply system in Bonny Island for remediation. OEE is formulated of three components, which are availability, performance, and quality. Six big losses such as breakdowns, setup and adjustments, small stops, slow running, start-up losses and production losses; are also important for calculation of OEE. Bonny Water Distribution Plant BWDP has a total capacity of 7.012 Million Litres per Day (MLD) for a population of about 175000 people. In this case study, data was collected for six months in all pumping stations. The result shows that BWDP has an average Availability of 88.84%, Quality of 85.58%, Performance of 83.45% and 61.27% OEE as compared to 90% Availability, 95% Quality, 99% Performance and 85% OEE of Seiichi Nakajima world class OEE system. To minimize these losses and to achieve world class OEE system, it was recommended that there should be reduction in events which are discussed in six big losses section, which include; fault in current, trips, pipeline leakages, water shortages in sump well and others.

keywords:

Reliability, Availability, Quality, Performance, Overall Equipment Effectiveness, Water Treatment Plant, Mean Time between Failure

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References:

Adegboyega, G. A., & Famoriji, J. O. (2011). Determination of the Central Gas Turbine Ef?ciency and
Reliability, Edjeba, Delta State, Nigeria. International Journal of Engineering Research and
Technology. 2(1),482–490.
Achara, O. M. & Godwin, C. (2013). Optimum Maintenance Strategy for Paint, Manufacturing
Industries, A case Study, International Journal of Advance Engineering Research and
Studies 3 (1), 123 - 130.
Alegre, H. & Coelho, S.T. (2012). Infrastructure Asset Management of Urban Water Systems, in
“Water Supply System Analysis - Selected Topics”. In: Ostfeld, A. (Ed.), InTech, ISBN: 978-
953-51-0889-4, In Tech. Available from: http://www.intechopen.com/books/water-supply
system-analysis-selected topics/infrastructure-asset-management-of- urban-water-systems.
Amadi, A. N. (2011). Assessing the Effects of Aladimma Dumpsite on Soil and Groundwater Using
Water Quality Index and Factor Analysis. Australian Journal of Basic and Applied Sciences,
5(11), 763–770.
Amir, A. (2015). Evaluation Improvement of Production Productivity Performance Using Statistical
Process Control, Overall Equipment Effectiveness and Autonomous Maintenance, Procedia
Manufacturing, 2 (1), 186 - 190.
Chetan, P., & Vivek, D. (2016). A Review on Improvement in Overall Equipment Effectiveness,
International Journal for Research in Applied Science and Engineering Technology, 4(11),
642-650.
Dahiya, O., Kumar, A. & Saini, M. (2019). Mathematical Modeling and Performance Evaluation of a-
Pan Crystallization System in a Sugar Industry, Springer Natures Applied Sciences. 1(4),
339 - 348.
Kumar, A. & Saini, M. (2018). Fuzzy Availability Analysis of a Marine Power Plant. Materials Today: Proceedings. 5(11), 25195-25202.
Mayur, M. M., & Arun, K. (2017). A Review on Employment of TPM to Improve OEE in the
Manufacturing Industry. International Journal of Innovative Research in Science,
Engineering and Technology, 6(8), 2319-2347.
Muhammad, A. S., Muhammed, R. H., & Asrafuzzaman, S.A. (2012). Analysis of performance by
overall equipment effectiveness of the CNC cutting section of a shipyard, Journal of Science
and Technology, 2(11), 1091-1096.
Naik, R., Raikar, V.A., & Naik, G. (2014). A simulation model for overall equipment effectiveness of
a generic production line. Journal of Mechanical and Civil Engineering, 12(5), 52-63.
Nakajima, S. (1988). Introduction to TPM: Total Productive Maintenance (preventative maintenance
series), Productivity Press.
Nallusamy, S., & Gautam, M. (2017). Enhancement of overall equipment effectiveness using total
productive maintenance in a manufacturing industry. International Journal of
Performability Engineering, 13(2), 1-16.
Nwankwoala, H. O. (2010). Electrical resistivity survey for groundwater in Egwede, Andoni Local
Government Area, Rivers State, Nigeria. (In Press).
Pardeep, G., & Sachit, V. (2016). Optimizing OEE, productivity and production cost for improving
sales volume in an automobile industry through TPM: a case study, International Journal of
Production Research, 54(10), 2976-2988.
Pradeep, K., Raviraj, S., & Lewlyn, L.R. (2014) Overall equipment efficiency and productivity of a
news paper printing machine of a daily news paper company - A Case Study” International
Journal of Engineering Practical Research , 3 (1), 1-8.
Popoola, J. J., Ponnle, A. A., & Ale. T. O. (2011). Reliability worth assessment of electric power
utility in Nigeria: residential customer survey results. Assumption University Journal of
Technology. 14(3), 217–224.
Sadiq, M., Rahmani, M., Ahmad, M.W., & Jung, S. (2010). Software risk assessment and evalua tion
process (SRAEP) using model based approach. 2010 International Conference on
Networking and Information Technology, 20(1) 171-177.
Verma, D.S., & Dawar, R. (2014). Measurement of Overall Equipment Effectiveness for Water
Discharge System: A Case Study. International journal of engineering research and
technology, 3(4), 737-743.
Vivek, M., Karthick, R., & Dr. Senthil Kumar, G., (2014). Optimization of overall equipment
effectiveness in a manufacturing system. International Journal of Innovative Research in
Science, Engineering and Technology, 3(3), 1192-1196.

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