Supplier performance evaluation includes the assessment of suppliers according to several criteria. Supplier performance evaluation, which is a part of purchasing activities, has gained more importance in recent years. Performance evaluation practices exist in both manufacturing and service sectors. The maintenance and repair overhaul (MRO) sector in the service sector has different characteristics compared to other sectors in terms of purchasing and supply management. MRO enterprises in the aviationAviation sector have fewer suppliers and the pressure on supply management of MRO companies in the aviationAviation sector is higher when compared with other sectors. The literature on supplier evaluationSupplier evaluation in both the MRO sector and the aviationAviation industry is limited. In this study, it is aimed to propose a new supplier evaluationSupplier evaluation and classification system using cluster analysis (CA) and artificial neural networks (ANNArtificial neural networks) methods in an MRO company operating in the aviationAviation industry. Initially, the supplier evaluationSupplier evaluation and classification system of the company was analyzed. Then a new clusteringClustering has been proposed for the company. It is shown that the suppliers can be classified using the proposed methodology for an alternative supplier evaluationSupplier evaluation.


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    Titel :

    Supplier Performance Evaluation Using Cluster Analysis and Artificial Neural Networks in a MRO Business in Aviation Sector


    Weitere Titelangaben:

    Abbrev. title: Account. finance sustain. gov. fraud


    Beteiligte:
    Kiracı, Kasım (Herausgeber:in) / Çalıyurt, Kıymet Tunca (Herausgeber:in) / Akbaba, Muhammet Mikdat (Autor:in) / Çetin, Onur (Autor:in)


    Erscheinungsdatum :

    2022-10-27


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch