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New Frontiers in Information and Production Systems Modelling and Analysis pp 119–138Cite as

Guideline for MCDA Method Selection in Production Management Area

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 98))

Abstract

Each decision situation is described by a set of certain characteristics—a factor which classifies it into a category of decision problems. Many times the chosen problematic determines the choice of the most suitable Multi-Criteria Decision Analysis (MCDA) method to be employed for supporting a decision maker. The following paper deals with directions developing in the literature on choosing the MCDA method best suited to solve a given decision problem. In the study, two sources of factors which influence the choice of the method were identified: a subject of the decision and a characteristic of dependencies in the problem description. When considering factors originating from the subject of the decision, the main focus is on case studies which support applying a particular method to a given problem. Dependencies between parameters describing a problem were analysed from the impact that the existence of various data sources has to them. The selected group of factors was consecutively generalised and its impact on the result of the decision support (using a collection of methods) was pointed out. The performed analysis constitutes the source of the strategy for choosing one method from the considered group of methods. Examples of applications in production management area are given.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Systems, West Pomeranian University of Technology in Szczecin, ul. Zolnierska 49, 71-210, Szczecin, Poland

    Jarosław Wątróbski & Jarosław Jankowski

Authors
  1. Jarosław Wątróbski
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  2. Jarosław Jankowski
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Correspondence to Jarosław Wątróbski .

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Editors and Affiliations

  1. Faculty of Computer Science and Information Systems, West Pomeranian University of Technology in Szczecin, Szczecin, Poland

    Przemysław Różewski

  2. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    Dmitry Novikov

  3. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    Natalia Bakhtadze

  4. Warsaw School of Computer Science, Warszawa, Poland

    Oleg Zaikin

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Wątróbski, J., Jankowski, J. (2016). Guideline for MCDA Method Selection in Production Management Area. In: Różewski, P., Novikov, D., Bakhtadze, N., Zaikin, O. (eds) New Frontiers in Information and Production Systems Modelling and Analysis. Intelligent Systems Reference Library, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-23338-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-23338-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23337-6

  • Online ISBN: 978-3-319-23338-3

  • eBook Packages: EngineeringEngineering (R0)

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