The Optimization of a Maintenance Policy Related to a Global Service Contract

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    3 Citazioni (Scopus)

    Abstract

    With refer to a Global Service Contract between a Service Provider and a Logistic Company, the purpose of the present paper is to develop an optimization model aimed to minimize the maintenance related total cost. In particular, such contract requires the supplying of a mandatory set of corrective maintenance services on a set of equal vehicles, in a fixed time horizon. The considered problem is formulated by a non-linear constrained mathematical model that, for large practical systems as the one herein considered, becomes difficult or very hard to solve by mathematical resolution approach. For this reason, a specific resolution approach based on a constrained genetic algorithm is herein developed to solve the treated problem. The obtained results show that meaningful cost reductions can be achieved by using the proposed approach
    Lingua originaleEnglish
    Stato di pubblicazionePublished - 2013

    Fingerprint

    Cost reduction
    Logistics
    Genetic algorithms
    Mathematical models
    Costs
    Industry

    All Science Journal Classification (ASJC) codes

    • Safety, Risk, Reliability and Quality

    Cita questo

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    title = "The Optimization of a Maintenance Policy Related to a Global Service Contract",
    abstract = "With refer to a Global Service Contract between a Service Provider and a Logistic Company, the purpose of the present paper is to develop an optimization model aimed to minimize the maintenance related total cost. In particular, such contract requires the supplying of a mandatory set of corrective maintenance services on a set of equal vehicles, in a fixed time horizon. The considered problem is formulated by a non-linear constrained mathematical model that, for large practical systems as the one herein considered, becomes difficult or very hard to solve by mathematical resolution approach. For this reason, a specific resolution approach based on a constrained genetic algorithm is herein developed to solve the treated problem. The obtained results show that meaningful cost reductions can be achieved by using the proposed approach",
    author = "Toni Lupo",
    year = "2013",
    language = "English",

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    AU - Lupo, Toni

    PY - 2013

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    N2 - With refer to a Global Service Contract between a Service Provider and a Logistic Company, the purpose of the present paper is to develop an optimization model aimed to minimize the maintenance related total cost. In particular, such contract requires the supplying of a mandatory set of corrective maintenance services on a set of equal vehicles, in a fixed time horizon. The considered problem is formulated by a non-linear constrained mathematical model that, for large practical systems as the one herein considered, becomes difficult or very hard to solve by mathematical resolution approach. For this reason, a specific resolution approach based on a constrained genetic algorithm is herein developed to solve the treated problem. The obtained results show that meaningful cost reductions can be achieved by using the proposed approach

    AB - With refer to a Global Service Contract between a Service Provider and a Logistic Company, the purpose of the present paper is to develop an optimization model aimed to minimize the maintenance related total cost. In particular, such contract requires the supplying of a mandatory set of corrective maintenance services on a set of equal vehicles, in a fixed time horizon. The considered problem is formulated by a non-linear constrained mathematical model that, for large practical systems as the one herein considered, becomes difficult or very hard to solve by mathematical resolution approach. For this reason, a specific resolution approach based on a constrained genetic algorithm is herein developed to solve the treated problem. The obtained results show that meaningful cost reductions can be achieved by using the proposed approach

    UR - http://hdl.handle.net/10447/90363

    M3 - Paper

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