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Enhancing Supply Chain Decisions Using Constraint Programming: A Case Study

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MICAI 2007: Advances in Artificial Intelligence (MICAI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4827))

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Abstract

A new approach is proposed to tackle integrated decision making associated to supply chains. This procedure enables reliable decisions concerning the set of order demands along a supply chain. This is accomplished by means of supply chain scheduling simulations, based on the use of Constraint Programming. The definition of time windows for all tasks poses as an indication that no infeasibility was found during supply chain analysis. Scheduling of orders along the supply chain is treated as a constraint satisfaction problem. It suffices to identify any feasible schedule to state that simulated decisions are acceptable. The main contribution of this work is the integration of Constraint Programming concepts within a decision-support system to support supply chain decisions.

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Authors and Affiliations

  1. Federal University of Technology – Paraná (UTFPR), Mechanical Engineering Department, Av. Sete de Setembro 3165, 80230-901 Curitiba, PR, Brazil

    Luiz C. A. Rodrigues & Leandro Magatão

Authors
  1. Luiz C. A. Rodrigues
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  2. Leandro Magatão
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Alexander Gelbukh Ángel Fernando Kuri Morales

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© 2007 Springer-Verlag Berlin Heidelberg

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Rodrigues, L.C.A., Magatão, L. (2007). Enhancing Supply Chain Decisions Using Constraint Programming: A Case Study. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_106

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  • DOI: https://doi.org/10.1007/978-3-540-76631-5_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76630-8

  • Online ISBN: 978-3-540-76631-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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