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Application of the Characteristic Objects Method in Supply Chain Management and Logistics

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Recent Developments in Intelligent Information and Database Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 642))

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Abstract

This paper presents a new multi-criteria decision-making method: the Characteristic Objects method. This approach is an alternative for AHP, TOPSIS, ELECTRE or PROMETHEE methods. The paper presents the possibility of using the Characteristic Objects Method (COMET method) in supply chain management (SCM) and Logistics. For this purpose, a brief review of the literature is shown. Then the COMET method is presented in detail. At the end of the paper, a simple problem is solved by using COMET method.

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Author information

Authors and Affiliations

  1. West Pomeranian University of Technology, al. Piastów 17, 70-310, Szczecin, Poland

    Wojciech Sałabun

  2. The Jacob of Paradyż University of Applied Sciences in Gorzów Wielkopolski, ul. Chopina 52, 66-400, Gorzów Wielkopolski, Poland

    Paweł Ziemba

Authors
  1. Wojciech Sałabun
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  2. Paweł Ziemba
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Corresponding author

Correspondence to Wojciech Sałabun .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocław, Poland

    Dariusz Król

  2. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocław, Poland

    Lech Madeyski

  3. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

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Sałabun, W., Ziemba, P. (2016). Application of the Characteristic Objects Method in Supply Chain Management and Logistics. In: Król, D., Madeyski, L., Nguyen, N. (eds) Recent Developments in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-31277-4_39

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  • DOI: https://doi.org/10.1007/978-3-319-31277-4_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31276-7

  • Online ISBN: 978-3-319-31277-4

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