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Production performance analysis during operation phase: A case study

Author

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  • Ali N Qarahasanlou
  • Abbas Barabadi
  • Yonas Z Ayele

Abstract

Production performance analysis plays a significant role in supporting the decision-making process, for managers and engineers dealing with the challenges of the optimization procedure of a system delivery capacity. Operational conditions can influence the production performance of a system drastically, in a short or long term, by affecting the system configuration, reliability, maintainability, maintenance supportability, and functional capacity of its components. Moreover, these impacts can lead to increased business risks and uncertainties. Such a situation demands the successful application of tools and methodologies to minimize the total business risk through an accurate prediction of production performance, addressing the effects of operational conditions. However, there is a lack of practical methodologies, for production performance analysis of systems operating under the time-dependent operational conditions. Hence, the central thrust of this article is to develop a systematic methodology, for the production performance analysis of a system considering the time-dependent operational conditions. In the case study, the results show that the production performance of mining equipment is affected significantly by the operational conditions. These changes occur across the working shifts and due to any changes in the production plan of the mine. The result of the analyses shows that the critical items in the mine is the loader. Hence, in order to increase the production performance of the system, the optimization of the reliability or maintainability of the loader needs to be considered as a priority. Moreover, the wagon drill has a significant excess capacity, which means that, by adding more trucks to the system, the production performance of the system can be improved.

Suggested Citation

  • Ali N Qarahasanlou & Abbas Barabadi & Yonas Z Ayele, 2018. "Production performance analysis during operation phase: A case study," Journal of Risk and Reliability, , vol. 232(6), pages 559-575, December.
    • Handle: RePEc:sae:risrel:v:232:y:2018:i:6:p:559-575
    DOI: 10.1177/1748006X17744383
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    References listed on IDEAS

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    1. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2011. "A methodology for throughput capacity analysis of a production facility considering environment condition," Reliability Engineering and System Safety, Elsevier, vol. 96(12), pages 1637-1646.
    2. Hjorteland, A. & Aven, T. & Østebø, R., 2007. "Uncertainty treatment in production assurance analyses throughout the various phases of a project," Reliability Engineering and System Safety, Elsevier, vol. 92(10), pages 1315-1320.
    3. Gao, Xueli & Barabady, Javad & Markeset, Tore, 2010. "An approach for prediction of petroleum production facility performance considering Arctic influence factors," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 837-846.
    4. Barabady, Javad & Kumar, Uday, 2008. "Reliability analysis of mining equipment: A case study of a crushing plant at Jajarm Bauxite Mine in Iran," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 647-653.
    5. Louit, D.M. & Pascual, R. & Jardine, A.K.S., 2009. "A practical procedure for the selection of time-to-failure models based on the assessment of trends in maintenance data," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1618-1628.
    6. Aven, Terje & Pedersen, Linda Martens, 2014. "On how to understand and present the uncertainties in production assurance analyses, with a case study related to a subsea production system," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 165-170.
    7. Naseri, Masoud & Baraldi, Piero & Compare, Michele & Zio, Enrico, 2016. "Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 66-82.
    8. Garmabaki, A.H.S. & Ahmadi, Alireza & Block, Jan & Pham, Hoang & Kumar, Uday, 2016. "A reliability decision framework for multiple repairable units," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 78-88.
    9. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2011. "Maintainability analysis considering time-dependent and time-independent covariates," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 210-217.
    10. Barabadi, Abbas & Tobias Gudmestad, Ove & Barabady, Javad, 2015. "RAMS data collection under Arctic conditions," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 92-99.
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