Identifying Centrifugal Pump Effectiveness Through Utilizing OEE Measures as a Basis Towards Optimum Process Stability
Soud Al-Toubi1, Babakalli Alkali2, David Harrison3, Sudhir C.V.4
1Soud Al-Toubi, Department of Mechanical Engineering, Glasgow Caledonian University, Glasgow, UK.
2Prof. Babakalli Alkali, Department of Mechanical Engineering, Glasgow Caledonian University, Glasgow, UK.
3Prof. David Harrison, Department of Mechanical Engineering, Glasgow Caledonian University, Glasgow, UK.
4Prof. Sudhir C.V., Department of Mechanical & Industrial Engineering, National University of Science and Technology, Muscat, Sultanate of Oman.
Manuscript received on 10 May 2022 | Revised Manuscript received on 15 May 2022 | Manuscript Accepted on 15 July 2022 | Manuscript published on 30 July 2022 | PP: 18-20 | Volume-11 Issue-2, July 2022 | Retrieval Number: 100.1/ijrte.B70440711222 | DOI: 10.35940/ijrte.B7044.0711222
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The present global competitive within the petroleum industry obliges companies to improve production performance continually. In this paper, Overall Equipment Effectiveness (OEE) used as improvement driver tools that measure various types of production losses and indicate the area of process improvement. The study approach attempts to measure the effectiveness of the centrifugal oil pump during one year of operating based on the historical data acquired. Then used this gained data of the OEE metrics in order to predict the pump effectiveness over the three years. Monte Carlo simulation method used to prognosis the machine behavior patterns in the future and estimating the effectiveness of the pump system. Also, it supports management for clear understanding to draw their maintenance strategy in advance and identifies the opportunities to reduce wastages of time and resources. Further, the results show how individual OEE factors influence the overall productivity and efficiency of the oil pump. This identification will contribute not just to improve the maintenance plan but also will protect the equipment from early deterioration and achieve process stability. OEE is a globally recognized best practice measure to systematically improve processes for higher efficiencies and better productivity, ultimately leading to lower manufacturing costs and higher profitability.
Keywords: Total Productive maintenance (TPM), Overall Equipment Effectiveness (OEE), Lean manufacturing, Key Performance Indicator (KPI), Productivity.
Scope of the Article: Manufacturing Processes