Discussion of signature-based models of preventive maintenance

Zhang, Mimi and Liu, Bin (2023) Discussion of signature-based models of preventive maintenance. Applied Stochastic Models in Business and Industry, 39 (1). pp. 54-56. ISSN 1524-1904 (https://doi.org/10.1002/asmb.2690)

[thumbnail of Zhang-Liu-ASMBI-2022-Discussion-of-signature-based-models-of-preventive-maintenance]
Preview
 Text. Filename: Zhang_Liu_ASMBI_2022_Discussion_of_signature_based_models_of_preventive_maintenance.pdf
Final Published Version
License: Creative Commons Attribution-NonCommercial 4.0 logo
Download (198kB)| Preview

Abstract

[We congratulate Asadi, Hashemi, and Balakrishnan for a comprehensive review of age-based maintenance strategies and a thorough study of the statistic “signature” for age-based maintenance of multi-component coherent systems. Among many contributions, Asadi, Hashemi, and Balakrishnan's paper also provides a taxonomic framework with which to categorize and classify the plethora of age-based maintenance models. Section 2 is of great importance, providing new researchers with a reliable nomenclature. What is missing in this section, however, is a detailed explanation of the notation “coherent system,” which will also help clarify the type systems to which the notation signature is applicable. Case study in this article covers a wide range of scenarios, and the two exemplar systems are also representative. However, the case study serves more as a tutorial rather than a proof of superiority. The tables and figures are for demonstrating the (uniqueness of) optimization results, but not for justifying the advantages of using the statistic signature. It would be of much practical value to compare the relative performance of maintenance models with and without using signature...]

ORCID iDs

Zhang, Mimi and Liu, Bin ORCID logoORCID: https://orcid.org/0000-0002-3946-8124;
CORE (COnnecting REpositories)