Identifying Centrifugal Pump Effectiveness Through Utilizing OEE Measures as a Basis Towards Optimum Process Stability

Author:

Al-Toubi Soud, ,Alkali Prof. Babakalli,Harrison Prof. David,C.V. Prof. Sudhir, , ,

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.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Management of Technology and Innovation,General Engineering

Reference22 articles.

1. BADIGER, A.S. & GANDHINATHAN, R., 2008. A proposal: evaluation of OEE and impact of six big losses on equipment earning capacity. International Journal of Process Management and Benchmarking. 2(3), pp.234-248. [CrossRef]

2. FLEISCHER, J., WEISMANN, U. & NIGGESCHMIDT, S., 2006. Calculation and optimisation model for costs and effects of availability relevant service elements. Proceedings of LCE., pp.675-680.

3. SARI, M.F. & DARESTANI, S.A., 2019. Fuzzy overall equipment effectiveness and line performance measurement using artificial neural network. Journal of Quality in Maintenance Engineering.

4. NAYAK, D.M., VIJAYA KUMAR, M., NAIDU, G.S. & SHANKAR, V., 2013. Evaluation of OEE in a continuous process industry on an insulation line in a cable manufacturing unit. International Journal of Innovative Research in Science, Engineering and Technology. 2(5).

5. DR. DEVENDRA S. VERMA & RAYMAL DAWAR, 2014. Measurement of Overall Equipment Effectiveness for Water Discharge System: A Case Study. International Journal of Engineering Research & Technology (IJERT). , pp.737-743.https://www.ijert.org/research/measurement-of-overall-equipment-effectiveness-for-water-discharge-system-a-case-study-IJERTV3IS041015.pdf.

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