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Analysis, modeling and solution of the concrete delivery problem

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  • Asbach, Lasse
  • Dorndorf, Ulrich
  • Pesch, Erwin

Abstract

This paper describes a specific local search approach to solve a problem arising in logistics which we prove to be NP-hard. The problem is a complex scheduling or vehicle routing problem where we have to schedule the tours of concrete mixer vehicles over a working day from concrete-producing depots to concrete-demanding customers and vice versa. We give a general mixed integer programming model which is too hard to solve for state of the art mixed integer programming optimizers in the case of the usually huge problem instances coming from practice. Therefore we present a certain local search approach to be able to handle huge practical problem instances.

Suggested Citation

  • Asbach, Lasse & Dorndorf, Ulrich & Pesch, Erwin, 2009. "Analysis, modeling and solution of the concrete delivery problem," European Journal of Operational Research, Elsevier, vol. 193(3), pages 820-835, March.
    • Handle: RePEc:eee:ejores:v:193:y:2009:i:3:p:820-835
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    References listed on IDEAS

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    1. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms," Transportation Science, INFORMS, vol. 39(1), pages 104-118, February.
    2. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part II: Metaheuristics," Transportation Science, INFORMS, vol. 39(1), pages 119-139, February.
    3. Matsatsinis, Nikolaos F., 2004. "Towards a decision support system for the ready concrete distribution system: A case of a Greek company," European Journal of Operational Research, Elsevier, vol. 152(2), pages 487-499, January.
    4. Naso, D. & Surico, M. & Turchiano, B. & Kaymak, U., 2004. "Genetic Algorithms in Supply Chain Scheduling of Ready-Mixed Concrete," ERIM Report Series Research in Management ERS-2004-096-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Brucker, Peter & Drexl, Andreas & Mohring, Rolf & Neumann, Klaus & Pesch, Erwin, 1999. "Resource-constrained project scheduling: Notation, classification, models, and methods," European Journal of Operational Research, Elsevier, vol. 112(1), pages 3-41, January.
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    Cited by:

    1. Hertz, Alain & Uldry, Marc & Widmer, Marino, 2012. "Integer linear programming models for a cement delivery problem," European Journal of Operational Research, Elsevier, vol. 222(3), pages 623-631.
    2. Philippe Grangier & Michel Gendreau & Fabien Lehuédé & Louis-Martin Rousseau, 2021. "The vehicle routing problem with cross-docking and resource constraints," Journal of Heuristics, Springer, vol. 27(1), pages 31-61, April.
    3. Verena Schmid & Karl F. Doerner & Richard F. Hartl & Martin W. P. Savelsbergh & Wolfgang Stoecher, 2009. "A Hybrid Solution Approach for Ready-Mixed Concrete Delivery," Transportation Science, INFORMS, vol. 43(1), pages 70-85, February.
    4. Ling Liu & Sen Liu, 2020. "Integrated Production and Distribution Problem of Perishable Products with a Minimum Total Order Weighted Delivery Time," Mathematics, MDPI, vol. 8(2), pages 1-18, January.
    5. Shaza Hanif & Shahab Ud Din & Ning Gui & Tom Holvoet, 2023. "Multiagent Coordination and Teamwork: A Case Study for Large-Scale Dynamic Ready-Mixed Concrete Delivery Problem," Mathematics, MDPI, vol. 11(19), pages 1-25, September.
    6. Nossack, Jenny & Pesch, Erwin, 2013. "A truck scheduling problem arising in intermodal container transportation," European Journal of Operational Research, Elsevier, vol. 230(3), pages 666-680.

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