LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Wu, Shaomin; Clements-Croome, Derek (2007)
Publisher: Elsevier
Languages: English
Types: Article
Subjects: HA33
Many systems might have a long time dormant period, during which the systems are not operated. For example, most building services products are installed while a building is constructed, but they are not operated until the building is commissioned. Warranty terms for such products may cover the time starting from their installation times to the end of their warranty periods. Prior to the commissioning of the building, the building services products are protected by warranty although they are not operating. Developing optimal burn-in policies for such products is important when warranty cost is analysed. This paper considers two burn-in policies, which incur different burn-in costs, and have different burn-in effects on the products. A special case about the relationship between the failure rates of the products at the dormant state and at the operating state is presented. Numerical examples compare the mean total warranty costs of these two burn-in policies.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] H. Ward, A. H. Christer, Modelling the re-design decision for a warranted product, Reliability Engineering and System Safety 88 (2) (2005) 181-189.
    • [2] W. Y. Yun, Y. W. Lee, L. Ferreira, Optimal burn-in time under cumulative free replacement warranty, Reliability Engineering and System Safety 78 (2) (2002) 93-100.
    • [3] C. S. Kim, I. Djamaludin, D. N. P. Murthy, Warranty and discrete preventive maintenance, Reliability Engineering and System Safety 84 (3) (2004) 301-309.
    • [5] L. Attardi, M. Guida, G. Pulcini, A mixed-weibull regression model for the analysis of automotive warranty data, Reliability Engineering and System Safety 87 (2) (2005) 265-273.
    • [6] M. Kimura, T. Toyota, S. Yamada, Economic analysis of software release problems with warranty cost and reliability requirement, Reliability Engineering and System Safety 66 (1) (1999) 49-55.
    • [7] W. Kuo, W. T. K. Chien, T. Kim, Reliability, yield, and stress burn-in, Kluwer Academic Publishers, 1998.
    • [8] K. O. Kim, W. Kuo, A general model of heterogeneous system lifetimes and conditions for system burn-in, Naval Research Logistics 50 (2003) 364-380.
    • [9] K. O. Kim, W. Kuo, Some consideration on system burn-in, IEEE Transactions on Reliability 54 (2) (2005) 207-214.
    • [10] Y. I. Kwon, J. B. Keats, Bayesian burn-in procedures for limited failure populations, International Journal of Production Research 40 (2002) 2547-2555.
    • [11] S. T. Tseng, J. Tang, I. H. Ku, Determination of burn-in parameters and residual life for highly reliable products, Naval Research Logistics 50 (2002) 1-14.
    • [12] J. Mi, Maximization of a survival probability and its application, Journal of Applied Probability 31 (4) (1994) 1026-1033.
    • [13] N. Ebrahimi, Burn-in and covariates, Journal of Applied Probability 41 (3) (2004) 735-745.
    • [14] J. Mi, Warranty policies and burn-in, Naval Research Logistics 44 (1997) 199- 209.
    • [15] J. H. Cha, On a better burn-in procedure, Journal of Applied Probability 37 (2000) 1099-1103.
    • [16] C. L. Wu, C. T. Su, Determination of the optimal burn-in time and cost using an environmental stress approach: a case study in switch mode rectifier, Reliability Engineering and System Safety 76 (1) (2002) 53-61.
    • [17] J. H. Cha, On optimal burn-in procedures - a generalized model, IEEE Transactions on Reliability 54 (2005) 198-205.
    • [18] W. R. Blischke, D. N. P. Murthy, Warranty cost analysis, Marcel Dekker, New York, 1994.
    • [19] H. W. Block, T. H. Savits, Burn-in, Statistical Science 12 (1997) 1-19.
    • [20] F. Jensen, N. E. Petersen, Burn-in, John Wiley, New York, 1982.
    • [21] W. Kuo, Y. Kuo, Facing the headaches of early failures: a state-of-the-art review of burn-in decisions, in: Proc. IEEE, Vol. 71, 1983, pp. 1257-1266,.
    • [22] M. Xie, On the solution of renewal-type integral equations, Communications in Statistics Simulation and Computation 18 (1) (1989) 281-293.
    • [23] S. Wu, L. Y. Chan, Performance utility analysis of multi-state systems, IEEE Transactions on Reliability 52 (1) (2003) 14-21.
    • [24] M. Xie, C. D. Lai, Reliability analysis using an additive Weibull model with bathtub-shaped failure rate function, Reliability Engineering and System Safety 52 (1) (1996) 87-93.
    • Table 1 Different costs incurred Parameters Group λ1 λ2 λ3 1 0.1 1.5 1 2 0.8 1.1 0.06 3 0.5 10 0.0001 4 0.2 2 5
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article