Development and application of an intermodal mass transit simulation with detailed traffic modeling
Proceedings of the 29th conference on Winter simulation
Computers and Operations Research
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
An ant colony optimization approach to solve cooperative transportation planning problems
Winter Simulation Conference
iCoMAS: an agent-based system for cooperative transportation planning in the food industry
HoloMAS'11 Proceedings of the 5th international conference on Industrial applications of holonic and multi-agent systems for manufacturing
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In this paper, we suggest a framework that allows for the simulation-based performance assessment of algorithms for cooperative transportation planning. Therefore, we consider a coupling architecture that connects simulation models of the logistic system and the transportation planning algorithms. The center point of this architecture is a black-board-type data layer between transportation planning system and the simulation engine. We provide detailed information on how the different subsystems communicate and how each system triggers events of the other systems. In a case study, we show how the suggested framework supports the required performance assessment.