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

  • 2022
  • OriginalPaper
  • Chapter
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Abstract

The chapter delves into the critical role of supplier performance evaluation in minimizing operational costs and gaining competitive advantage, particularly in the aviation MRO sector. It highlights the limitations of traditional evaluation methods and introduces the innovative use of cluster analysis and artificial neural networks to enhance supplier classification. The study, conducted on a leading aircraft maintenance company, demonstrates the potential of these advanced techniques to provide more accurate and actionable insights into supplier performance. The research not only aims to improve existing evaluation systems but also offers a promising approach for future studies in supplier performance assessment.

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Title
Supplier Performance Evaluation Using Cluster Analysis and Artificial Neural Networks in a MRO Business in Aviation Sector
Authors
Muhammet Mikdat Akbaba
Onur Çetin
Copyright Year
2022
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-16-9276-5_9
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    Schmalkalden/© Schmalkalden, NTT Data/© NTT Data, Verlagsgruppe Beltz/© Verlagsgruppe Beltz, ibo Software GmbH/© ibo Software GmbH, Sovero/© Sovero, Axians Infoma GmbH/© Axians Infoma GmbH, Prosoz Herten GmbH/© Prosoz Herten GmbH, Stormshield/© Stormshield, MACH AG/© MACH AG, OEDIV KG/© OEDIV KG, Rundstedt & Partner GmbH/© Rundstedt & Partner GmbH, Doxee AT GmbH/© Doxee AT GmbH , Governikus GmbH & Co. KG/© Governikus GmbH & Co. KG, Vendosoft/© Vendosoft