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A Hybrid LS/CP Approach to Solve the Weekly Log-Truck Scheduling Problem

  • Conference paper
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5547))

Abstract

We present a hybrid approach to solve the log-truck scheduling problem (LTSP), which combines routing and scheduling of forest vehicles and includes aspects such as multiple products and inventory management. The LTSP is closely related to some routing problems encountered in other industries, in particular, so called “pick-up and delivery problems”. In general, the LTSP are more complex than classical PDP, since in the LTSP we must synchronise trucks and log-loaders to avoid as much as possible waiting times.

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References

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Authors and Affiliations

  1. Logistics and Transportation (CIRRELT), Interuniversity Research Centre on Enterprise Networks, C.P. 6128, succursale centre-ville, Montreal, Canada, H3C 3J7

    Nizar El Hachemi, Michel Gendreau & Louis-Martin Rousseau

Authors
  1. Nizar El Hachemi
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  2. Michel Gendreau
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  3. Louis-Martin Rousseau
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Editor information

Editors and Affiliations

  1. Tepper School of Business, Carnegie Mellon University, 5000 Forbes Avenue, PA 15213, Pittsburgh, USA

    Willem-Jan van Hoeve

  2. Carnegie Mellon University, USA

    John N. Hooker

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© 2009 Springer-Verlag Berlin Heidelberg

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El Hachemi, N., Gendreau, M., Rousseau, LM. (2009). A Hybrid LS/CP Approach to Solve the Weekly Log-Truck Scheduling Problem. In: van Hoeve, WJ., Hooker, J.N. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2009. Lecture Notes in Computer Science, vol 5547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01929-6_27

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  • DOI: https://doi.org/10.1007/978-3-642-01929-6_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01928-9

  • Online ISBN: 978-3-642-01929-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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