IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v226y2012i3p305-317.html
   My bibliography  Save this article

Integrated system reliability and productive capacity analysis of a production line. A case study for a Chilean mining process

Author

Listed:
  • P Viveros
  • E Zio
  • F Kristjanpoller
  • A Arata

Abstract

The analysis of a production line requires the consideration of its reliability and productive capacity since they have a direct influence on the expected levels of performance. These factors have an intrinsic stochastic behaviour which must be accounted for in the analysis. This paper proposes an integrated approach based on Monte Carlo simulation which is tested on a case study concerning the production line of a private mining company located in northern Chile. Specifically, the primary, secondary, and tertiary crushing processes are analysed in detail. Actual maintenance and operation data for 16 months of operation are considered in the case study. A tailored simulation model is developed that is able to jointly estimate the reliability and productivity of the process. The integration of these two aspects allows situations in which equipment becomes unavailable to be identified and this can improve business continuity and process productivity.

Suggested Citation

  • P Viveros & E Zio & F Kristjanpoller & A Arata, 2012. "Integrated system reliability and productive capacity analysis of a production line. A case study for a Chilean mining process," Journal of Risk and Reliability, , vol. 226(3), pages 305-317, June.
  • Handle: RePEc:sae:risrel:v:226:y:2012:i:3:p:305-317
    DOI: 10.1177/1748006X11408675
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X11408675
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1748006X11408675?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Meller, Russell D. & Kim, David S., 1996. "The impact of preventive maintenance on system cost and buffer size," European Journal of Operational Research, Elsevier, vol. 95(3), pages 577-591, December.
    2. Jin, Xiaoning & Li, Lin & Ni, Jun, 2009. "Option model for joint production and preventive maintenance system," International Journal of Production Economics, Elsevier, vol. 119(2), pages 347-353, June.
    3. Enrico Zio & Nicola Pedroni, 2010. "Reliability Estimation by Advanced Monte Carlo Simulation," Springer Series in Reliability Engineering, in: Javier Faulin & Angel A. Juan & Sebastián Martorell & José-Emmanuel Ramírez-Márquez (ed.), Simulation Methods for Reliability and Availability of Complex Systems, chapter 0, pages 3-39, Springer.
    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. Gharbi, A. & Kenne, J.-P. & Beit, M., 2007. "Optimal safety stocks and preventive maintenance periods in unreliable manufacturing systems," International Journal of Production Economics, Elsevier, vol. 107(2), pages 422-434, June.
    6. Zio, Enrico & Podofillini, Luca & Zille, Valérie, 2006. "A combination of Monte Carlo simulation and cellular automata for computing the availability of complex network systems," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 181-190.
    7. Zio, E. & Pedroni, N., 2009. "Building confidence in the reliability assessment of thermal-hydraulic passive systems," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 268-281.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rajkumar Bhimgonda Patil & Basavraj S Kothavale & Laxman Yadu Waghmode, 2019. "Selection of time-to-failure model for computerized numerical control turning center based on the assessment of trends in maintenance data," Journal of Risk and Reliability, , vol. 233(2), pages 105-117, April.
    2. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2014. "Application of reliability models with covariates in spare part prediction and optimization – A case study," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 1-7.
    3. Dehayem Nodem, F.I. & Kenné, J.P. & Gharbi, A., 2011. "Simultaneous control of production, repair/replacement and preventive maintenance of deteriorating manufacturing systems," International Journal of Production Economics, Elsevier, vol. 134(1), pages 271-282, November.
    4. Dimitrakos, T.D. & Kyriakidis, E.G., 2008. "A semi-Markov decision algorithm for the maintenance of a production system with buffer capacity and continuous repair times," International Journal of Production Economics, Elsevier, vol. 111(2), pages 752-762, February.
    5. Panagiotis H. Tsarouhas & George K. Fourlas, 2016. "Mission reliability estimation of mobile robot system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(2), pages 220-228, June.
    6. Di Maio, Francesco & Pettorossi, Chiara & Zio, Enrico, 2023. "Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    7. A. Azadeh & M. Sheikhalishahi & S. Mortazavi & E. Ahmadi Jooghi, 2017. "Joint quality control and preventive maintenance strategy: a unique taguchi approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 123-134, March.
    8. Kartick Bhushan & Somnath Chattopadhyaya & Shubham Sharma & Kamal Sharma & Changhe Li & Yanbin Zhang & Elsayed Mohamed Tag Eldin, 2022. "Analyzing Reliability and Maintainability of Crawler Dozer BD155 Transmission Failure Using Markov Method and Total Productive Maintenance: A Novel Case Study for Improvement Productivity," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    9. Zio, E. & Pedroni, N., 2012. "Monte Carlo simulation-based sensitivity analysis of the model of a thermal–hydraulic passive system," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 90-106.
    10. Badami, Marco & Fonti, Antonio & Carpignano, Andrea & Grosso, Daniele, 2018. "Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach," Energy, Elsevier, vol. 144(C), pages 826-838.
    11. Bertazzi, Luca, 2011. "Determining the optimal dimension of a work-in-process storage area," International Journal of Production Economics, Elsevier, vol. 131(2), pages 483-489, June.
    12. Xia, Tangbin & Xi, Lifeng & Zhou, Xiaojun & Lee, Jay, 2012. "Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology," European Journal of Operational Research, Elsevier, vol. 221(1), pages 231-240.
    13. Ribeiro, M.A. & Silveira, J.L. & Qassim, R.Y., 2007. "Joint optimisation of maintenance and buffer size in a manufacturing system," European Journal of Operational Research, Elsevier, vol. 176(1), pages 405-413, January.
    14. Jacek Paś, 2023. "Issues Related to Power Supply Reliability in Integrated Electronic Security Systems Operated in Buildings and Vast Areas," Energies, MDPI, vol. 16(8), pages 1-22, April.
    15. Meng, Huixing & Kloul, Leïla & Rauzy, Antoine, 2018. "Modeling patterns for reliability assessment of safety instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 111-123.
    16. Hu, Fei & Lim, Cheng-Chew & Lu, Zudi, 2014. "Optimal production and procurement decisions in a supply chain with an option contract and partial backordering under uncertainties," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 1225-1234.
    17. Wolter, Anja & Helber, Stefan, 2013. "Simultaneous Production and Maintenance Planning for a Single Capacitated Resource facing both a Dynamic Demand and Intensive Wear and Tear," Hannover Economic Papers (HEP) dp-522, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    18. Zio, E. & Pedroni, N., 2009. "Functional failure analysis of a thermal–hydraulic passive system by means of Line Sampling," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1764-1781.
    19. Karamatsoukis, C.C. & Kyriakidis, E.G., 2010. "Optimal maintenance of two stochastically deteriorating machines with an intermediate buffer," European Journal of Operational Research, Elsevier, vol. 207(1), pages 297-308, November.
    20. Durga Rao, K. & Gopika, V. & Sanyasi Rao, V.V.S. & Kushwaha, H.S. & Verma, A.K. & Srividya, A., 2009. "Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 872-883.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:226:y:2012:i:3:p:305-317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.