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RCM implementation on plastic injection molding machine considering correlated failure modes and small size sample

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Abstract

Maintenance has become an important support for ensuring equipment availability, on-time deliveries and quality of products. In that sense, reliability-centered maintenance (RCM) could be used due to its basic characteristics like cost-effectiveness and accuracy. The RCM methodology is based on equipment reliability, which is estimated assuming that all failure modes are independent. However, in some cases, this assumption is not always satisfied. This paper seeks to show the effect of considering dependence for different failure modes; a comparison between traditional reliability models and copulas model is made. An injection molding process is considered for application in order to assess the proposed model and define a maintenance activities’ program. Including dependence between failure modes in reliability estimation allowed 75% savings in the annual maintenance costs, which represent a direct benefit for company.

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References

  1. Deshpande VS, Mahant PM (2013) Application of reliability centered maintenance methodology to develop maintenance program for a heavy duty hydraulic stretching machine. Aust J Multi-Discipl Eng 9(2):177–184

    Google Scholar 

  2. McKenna T, Oliverson R (1997) Glossary of reliability and maintenance terms. Gulf Professional Publishing

  3. Moubray J (1997) Reliability-centered maintenance. Industrial Press Inc.

  4. Yildirim MB, Nezami FG (2014) Integrated maintenance and production planning with energy consumption and minimal repair. Int J Adv Manuf Technol 74(9–12):1419–1430. https://doi.org/10.1007/s00170-014-5834-3

    Article  Google Scholar 

  5. Greenough RM, Grubic T (2011) Modelling condition-based maintenance to deliver a service to machine tool users. Int J Adv Manuf Technol 52(9):1117–1132. https://doi.org/10.1007/s00170-010-2760-x

    Article  Google Scholar 

  6. Kandukuri ST, Robbersmyr KG, Karimi HR (2016) Towards farm-level health management of offshore wind farms for maintenance improvements. Int J Adv Manuf Technol 83(9–12):1557–1567. https://doi.org/10.1007/s00170-015-7616-y

    Article  Google Scholar 

  7. Niu G, Yang BS, Pecht M (2010) Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance. Reliability Engineering & System Safety 95(7):786–796

    Article  Google Scholar 

  8. Johnston DC (2002) Plausible reasoning theory in reliability-centered maintenance analysis. In Reliability and Maintainability Symposium, 2002. Proceedings. Annual. IEEE, pp 367-371

  9. Nahmias S, Cheng Y (1993) Production and operations analysis, vol 2. Irwin, Homewood

    Google Scholar 

  10. Mann NR, Schafer RE, Singpurwalla ND (1997) Methods for statistical analysis of reliability and life data.

  11. Modarres M, Kaminskiy MP, Krivtsov V (2009) Reliability engineering and risk analysis: a practical guide. CRC press

  12. Wang KH, Ke JB, Lee WC (2007) Reliability and sensitivity analysis of a repairable system with warm standbys and R unreliable service stations. Int J Adv Manuf Technol 31(11):1223–1232. https://doi.org/10.1007/s00170-005-0298-0

    Article  Google Scholar 

  13. Dodson B, Nolan D (1999) Reliability engineering handbook. Marcel Dekker, New York

    Google Scholar 

  14. Gertsbakh I (2002) Reliability theory with applications to preventive maintenance. IIE Transactions 34(12):1111–1114

    Google Scholar 

  15. Dodson B (1994) Weibull analysis. Asq Press

  16. Kotz K, Nadarajah S (2000) Extreme value distributions: Theory and applications. Imperial college press, London

    Book  MATH  Google Scholar 

  17. Nelsen RB (2007) An introduction to copulas. Springer Science & Business Media

  18. Antonitsin AP (2012) Statistical methods in reliability testing

  19. Abernethy RB (2008) The new Weibull handbook: Reliability & statistical analysis for predicting life, safety, survivability, risk, cost and warranty claims. R.B. Abernethy, North Palm Beach

    Google Scholar 

  20. Efron B, Tibshirani RJ (1994) An introduction to the bootstrap. CRC press

  21. Krishnamoorthy K, Peng J (2011) Improved closed-form prediction intervals for binomial and Poisson distributions. J Stat Plan Inf 141(5):1709–1718. https://doi.org/10.1016/j.jspi.2010.11.021

    Article  MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. COMIMSA (Corporación Mexicana de Investigación en Materiales), No 790 Col. Saltillo 400, CP. 25290, Saltillo, Coahuila, Mexico

    Marco A. Fuentes-Huerta, David S. González-González & Rolando J. Praga-Alejo

  2. Facultad de Sistemas, Universidad Autónoma de Coahuila Ciudad Universitaria, Carretera a México Km 13, Arteaga, Coahuila, Mexico

    David S. González-González & Rolando J. Praga-Alejo

  3. Universidad Autónoma Agraria Antonio Narro, Calzada Antonio Narro No 1923, Buenavista, CP. 25315, Saltillo, Coahuila, Mexico

    Mario Cantú-Sifuentes

Authors
  1. Marco A. Fuentes-Huerta
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  2. David S. González-González
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  3. Mario Cantú-Sifuentes
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  4. Rolando J. Praga-Alejo
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Correspondence to Marco A. Fuentes-Huerta.

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Fuentes-Huerta, M.A., González-González, D.S., Cantú-Sifuentes, M. et al. RCM implementation on plastic injection molding machine considering correlated failure modes and small size sample. Int J Adv Manuf Technol 95, 3465–3473 (2018). https://doi.org/10.1007/s00170-017-1402-y

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  • DOI: https://doi.org/10.1007/s00170-017-1402-y

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