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A Concept of Decision Support in Supply Chain Management – A Hybrid Approach

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Beyond Databases, Architectures and Structures (BDAS 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 521))

Abstract

This paper describes the hybrid approach to optimization of decision problems in supply chain management (SCM). The hybrid approach proposed here combines the strengths of mathematical programming (MP) and constraint logic programming (CLP), which leads to a significant reduction in the search time necessary to find the optimal solution, and allows solving larger problems. The proposed hybrid approach is presented as a concept of an additional layer of decision-making in integrated systems, for example ERP, DRP, etc. This solution allows the implementation of complete decision-making models, additional constraints as well as a set of questions for these models. The illustrative model presented in the article illustrate the advantages of the approach.

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Author information

Authors and Affiliations

  1. Department of Control and Management Systems, Kielce University of Technology, Kielce, Poland

    Paweł Sitek

Authors
  1. Paweł Sitek
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Corresponding author

Correspondence to Paweł Sitek .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Silesian University of Technology, Gliwice,, Poland

    Daniel Kostrzewa

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Sitek, P. (2015). A Concept of Decision Support in Supply Chain Management – A Hybrid Approach. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. BDAS 2015. Communications in Computer and Information Science, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-18422-7_50

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  • DOI: https://doi.org/10.1007/978-3-319-18422-7_50

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18421-0

  • Online ISBN: 978-3-319-18422-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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