IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v227y2013i2p132-143.html
   My bibliography  Save this article

Optimum multi-objective modified constant-stress accelerated life test plan for the Burr type-XII distribution with type-I censoring

Author

Listed:
  • Preeti W Srivastava
  • Neha Mittal

Abstract

Accelerated life test is usually performed using constant, step, progressive, cyclic and random stress loadings. In most of the existing accelerated life test plans, the stress level changes instantaneously, which is impractical. So, it is desirable to increase the stress at some finite rate, since a sudden jump in stress level may cause a thermal shock or undesirable failure modes that may not occur at the normal use condition. To overcome this problem, modified constant-stress loading and modified step-stress loading have been used in the literature in each of which stress is increased from a low stress level to higher stress level at a finite rate. This article deals with the design of an optimum multi-objective modified constant-stress accelerated life test plan for Burr type-XII distribution with type-I censoring. The inverse power law and a cumulative exposure model are assumed. The optimal test plan consists of determining an optimum low stress level, and also optimum proportion of units to be allocated at low and high stress levels by minimizing the weighted sum of the asymptotic variances of the maximum likelihood estimator of quantile lifetimes at design constant stress. The multi-objective modified constant-stress accelerated life test plan devised has been explained using a numerical example and the effects of the deviations from the pre-estimates of the design parameters investigated. The proposed model has been compared with the pre-existing model using the simulated failure time data set. For the same data set the proposed multi-objective plan has been compared with a single-objective plan with respect to changes in the values of the parameters, equal weights and unequal weights.

Suggested Citation

  • Preeti W Srivastava & Neha Mittal, 2013. "Optimum multi-objective modified constant-stress accelerated life test plan for the Burr type-XII distribution with type-I censoring," Journal of Risk and Reliability, , vol. 227(2), pages 132-143, April.
  • Handle: RePEc:sae:risrel:v:227:y:2013:i:2:p:132-143
    DOI: 10.1177/1748006X13476235
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X13476235
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1748006X13476235?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. Sang-Jun Park & Bong-Jin Yum, 1998. "Optimal design of accelerated life tests under modified stress loading methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(1), pages 41-62.
    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. Yoshio Komori, 2006. "Properties of the Weibull cumulative exposure model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(1), pages 17-34.
    2. Haitao Liao & Elsayed A. Elsayed, 2010. "Equivalent accelerated life testing plans for log‐location‐scale distributions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(5), pages 472-488, August.
    3. Cheng‐Hung Hu & Robert D. Plante & Jen Tang, 2013. "Statistical equivalency and optimality of simple step‐stress accelerated test plans for the exponential distribution," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(1), pages 19-30, February.
    4. Haitao Liao, 2009. "Optimal design of accelerated life testing plans for periodical replacement with penalty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(1), pages 19-32, February.
    5. Refah Alotaibi & Faten S. Alamri & Ehab M. Almetwally & Min Wang & Hoda Rezk, 2022. "Classical and Bayesian Inference of a Progressive-Stress Model for the Nadarajah–Haghighi Distribution with Type II Progressive Censoring and Different Loss Functions," Mathematics, MDPI, vol. 10(9), pages 1-19, May.

    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:227:y:2013:i:2:p:132-143. 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.