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Discussions on the reuse of items based on the delay time modelling

Santos, Augusto, Cavalcante, Cristiano, Wu, Shaomin (2021) Discussions on the reuse of items based on the delay time modelling. In: 11th IMA International Conference on Modelling in Industrial Maintenance and Reliability. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:88962)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
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Abstract

The delay time concept has been used in a wide variety of applications for modelling important aspects regarded to the maintenance of systems. In some situations, the time in the defective state may interfere with the performance of the component or system, by reducing its efficiency, or may interfere with the cost of repairing components, for their subsequent reuse. As a consequence, on both occasions, the longer the time in the defective state, the worse the influence promoted by this period. Despite these facts, a small number of contributions deal with the influence of the time in the defective state and its respective cost. In addition, a limited number of works links delay modelling with the reuse of items. We thus present insights into the delay time model for second-hand items proposed by Santos et al. (2020). In general, the mentioned model may be applied to any component that wears along the time and may be replaced by a new or refurbished one. In the present work, the main contribution is the new discussions on the reuse of items in the context of single-component systems, from which new directions for further studies are established.

Item Type: Conference or workshop item (Proceeding)
Uncontrolled keywords: Delay time, Single-component system, Reuse of items, Second-hand items
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 01 Jul 2021 13:20 UTC
Last Modified: 02 Jul 2021 09:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/88962 (The current URI for this page, for reference purposes)
Wu, Shaomin: https://orcid.org/0000-0001-9786-3213
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