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Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Optimization of Leased Equipment Maintenance Strategy Considering Maintenance Time Limit

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322754,
        author={Ke  Dong and Leilei  Jiang},
        title={Optimization of Leased Equipment Maintenance Strategy Considering Maintenance Time Limit},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={expected cost rate; leased equipment; repair time threshold; minimal repair},
        doi={10.4108/eai.17-6-2022.2322754}
    }
    
  • Ke Dong
    Leilei Jiang
    Year: 2022
    Optimization of Leased Equipment Maintenance Strategy Considering Maintenance Time Limit
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322754
Ke Dong1, Leilei Jiang1,*
  • 1: Anhui Open University
*Contact email: jll@ahtvu.ah.cn

Abstract

Aiming at the maintenance problem of leased equipment with limited maintenance time, two maintenance strategy models of full refund and proportional refund are proposed. From the perspective of the lessor, the model comprehensively considers factors such as minor repair costs, failure penalty costs, repair time limits and refunds during the rental period, and establishes a full refund with the goal of minimizing the total cost rate expected by the lessor maintenance and proportional refund maintenance are two strategic models, and the relevant theoretical methods for model optimization are given. Numerical analysis verifies the validity and feasibility of the model. The strategy model can provide theoretical support for the lessor to make equipment maintenance decisions.

Keywords
expected cost rate; leased equipment; repair time threshold; minimal repair
Published
2022-10-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-6-2022.2322754
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