Discussion of "An overview of some classical models and discussion of the signature-based models of preventive maintenance"

Ji Hwan Cha, Maxim Finkelstein

    Research output: Contribution to journalComment/debatepeer-review

    Abstract

    First of all, we want to congratulate Asadi, Hashemi and Balakrishnan for this very interesting discussion that combines the detailed survey of the basic preventive maintenance models with a special emphasis on signature-based models and presentation and analysis of some potential directions of research in this area. The paper has around 50 pages of a journal format length, but one cannot say that it is ‘too long’ as it is versatile, well written and considers many interesting topics. Therefore, we think that this paper is a useful tool on general methods employed in preventive maintenance and specifically in signature-based reasoning. The survey is mostly focused on age-based maintenance. In accordance with the definition and usefulness of signatures the described models are mostly applied to coherent systems of i.i.d. or exchangeable components. In what follows, we would like to outline the new approach to preventive maintenance that hopefully can be generalized/modified using tools described in this valuable paper. It is mostly related to the first part of the paper describing conventional age-based maintenance; however, modified signature-based methods can be also employed in the further research (e.g., for populations of items operating in a random environment modeled by a shock process).
    Original languageEnglish
    Number of pages3
    JournalApplied Stochastic Models in Business and Industry
    Early online date7 Sep 2022
    DOIs
    Publication statusE-pub ahead of print - 7 Sep 2022

    Keywords

    • discussion
    • overview
    • classical models and discussion
    • signature-based models of preventive maintenance

    Fingerprint

    Dive into the research topics of 'Discussion of "An overview of some classical models and discussion of the signature-based models of preventive maintenance"'. Together they form a unique fingerprint.

    Cite this