On the New Age Replacement Policy

새로운 연령교체 방식의 개발

  • Seo, Sun-Keun (Department of Industrial & Management Systems Engineering, Dong-A University)
  • 서순근 (동아대학교 산업경영공학과)
  • Received : 2016.08.10
  • Accepted : 2016.10.15
  • Published : 2016.12.25

Abstract

Purpose: Recently, Jiang defines the tradeoff B life to minimize a sum of life lost by preventive maintenance (PM) and corrective maintenance (CM) contribution parts and sets up an optimal replacement age of age replacement policy as this tradeoff life. In this paper, Jiang's model only considering the known lifetime distribution is extended by assigning different weights to two parts of PM and CM in order to reflect the practical maintenance situations in application. Methods: The new age replacement model is formulated and the meaning of a weight factor is expressed with the implied cost of failure under asymptotic expected cost model and also discussed with one-cycle expected cost criterion. Results: The proposed model is applied to Weibull and lognormal lifetime distributions and optimum PM replacement ages are derived with corresponding implied cost of failure. Conclusion: The new age replacement policy to escape the estimation of cost of failure in classical asymptotic expected cost criterion based on the renewal process is provided.

Keywords

References

  1. Ahmad, R. and Kamaruddin, S. (2012). "An Overview of Time-Based and Condition-Based Maintenance in Industrial Application". Computers & Industrial Engineering, Vol. 63, No. 1, pp. 135-149. https://doi.org/10.1016/j.cie.2012.02.002
  2. Jardine, A. K. S. and Tsang, A. H. C. (2006). "Maintenance, Replacement, and Reliability: Theory and Applications". CRC Press.
  3. Barlow R. E. and Hunter, L. C. (1960). "Optimum Preventive Maintenance Policies". Operations Research, Vol. 8, No. 1, pp. 90-100. https://doi.org/10.1287/opre.8.1.90
  4. Gertzbakh, I. (2000). "Reliability Theory: with Applications to Preventive Maintenance". Springer.
  5. Ansell, J., Benfell, A. and Humber, S. (1984). "Age Replacement under Alternative Cost Criteria". Management Science, Vol. 30, No. 3, pp. 358-367. https://doi.org/10.1287/mnsc.30.3.358
  6. Coolen-Schrijner, P. and Coolen, F. P. A. (2006). "On Optimality Criteria for Age Replacement". Proc. I Mech E Part O: J. Risk and Reliability, Vol. 220, No. 1, pp. 21-28.
  7. Hamidi, M., Szidarovszky, F. and Szidarovszky, M. (2016). "New One Cycle Criteria for Optimizing Preventive Replacement Policies". Reliability Engineering and System Safety, Vol. 154, pp. 42-48. https://doi.org/10.1016/j.ress.2016.04.010
  8. Jiang, R. (2013). "A Tradeoff BX Life and Its Applications". Reliability Engineering and System Safety, Vol. 113, pp. 1-6. https://doi.org/10.1016/j.ress.2012.12.010
  9. Scarf, P. A., Dwight, R. and Al-Musrati, A. (2005). "On Reliability Criteria and Implied Cost of Failure for a Maintained Component". Reliability Engineering and System Safety, Vol. 89, pp. 199-207. https://doi.org/10.1016/j.ress.2004.08.019
  10. Amari, S. and Fulton, W. (2003). "Bounds on Optimal Replacement Time of Age Replacement Policy". Proceedings of 2003 Annual Reliability and Maintainability Symposium, pp. 417-422.
  11. Glasser, G. J. (1967). "The Age Replacement Problem". Technometrics, Vol. 9, No. 1, pp. 83-91. https://doi.org/10.1080/00401706.1967.10490443