In order to optimize the spare parts supply network, a multi-objective optimization model is established with the objectives of the shortest supply time, the lowest risk, and the minimum supply cost. A decomposition-based multi-objective evolutionary algorithm with differential evolution strategy is introduced to solve the multi-objective model. A series of non-dominated solutions, that is, representing the optimal spare parts supply schemes are obtained. In order to comprehensively measure the performance of these solutions, suitable quantitative metrics are selected, and the secondary goal-based cross-efficiency Data Envelopment Analysis (DEA) model has been used to evaluate the efficiency of the obtained optimal schemes. The improved DEA model overcomes the problems that the efficient units cannot be sorted and the optimal weight is not unique in traditional DEA model. Finally, the self-evaluation efficiency and cross-evaluation efficiency of each scheme are obtained, and the optimal supply scheme is found based on their cross-evaluation efficiency.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Integration Methodology of Spare Parts Supply Network Optimization and Decision-making


    Beteiligte:
    Yadong Wang (Autor:in) / Quan Shi (Autor:in) / Zhifeng You (Autor:in) / Qiwei Hu (Autor:in)


    Erscheinungsdatum :

    2020




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Increased Reliability Through Spare Parts Optimization

    Davis, D. J. | SAE Technical Papers | 1964


    Initial spare parts supply of an orbital system

    Pérès, François / Grenouilleau, Jean-Christophe | Emerald Group Publishing | 2002


    Automotive spare parts

    Hatcher, J.S. | Engineering Index Backfile | 1944


    Initial spare parts supply of an orbital system

    Pérès, François | Online Contents | 2002