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CloudLogistic – Line-Based Optimization for the Disposition of LTL Shipments

In: Automation, Communication and Cybernetics in Science and Engineering 2013/2014

Author

Listed:
  • Christian Tummel

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Christian Franzen

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Phil Friedrichsmeier

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Nadine Voßen

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Philipp Wolters

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Eckart Hauck

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW & IfU)

Abstract

As a real application of the in Tummel et al. (The Multi-Depot Heterogeneous Fleet Vehicle Routing Problem With Time Windows And Assignment Restrictions (m-VRPTWAR), 2011) introduced problem class m-VRPTWAR – the “multi-depot heterogeneous fleet vehicle routing problem with time windows and assignment restrictions” – this paper will introduce the so-called “CloudLogistic” concept. The problem addresses the assignment of a set of shipments to a set of freight routes in order to minimize unused cargo volume of the vehicles. The assignment of each shipment is restricted to a subset of freight routes. Furthermore, the shipment has to be delivered in a specific time window. Therefore, it is necessary to determine an order of shipments for each freight route that guarantees the observance of all time windows. The problem class m-VRPTWAR abstracts the implied optimization problem. Besides the introduction of the “CloudLogistic” concept, the main requirements for the software-based shipment processing are discussed, which is the central part of a software-based solution for an implied freight cooperation of Less Than Truckload (LTL) shipments. For the evaluation of problem-specific solvers, as well as for an improved evaluation of the feasibility of the m-VRPTWAR, realistic test data come into place according to Tummel et al. (An Incremental Online Heuristic for Evaluating the Feasibility of the m-VRPTWAR, 2011). Besides a detailed description of the concept a method for the generation of realistic test data will be presented. Finally the evaluation of a Repacking First Fit approach (RFF) as a solution for the discussed feasibility check will be extended by considering different choices of repacking depths.

Suggested Citation

  • Christian Tummel & Christian Franzen & Phil Friedrichsmeier & Nadine Voßen & Philipp Wolters & Eckart Hauck & Sabina Jeschke, 2014. "CloudLogistic – Line-Based Optimization for the Disposition of LTL Shipments," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2013/2014, edition 127, pages 681-693, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08816-7_53
    DOI: 10.1007/978-3-319-08816-7_53
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