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Assessment of Telecommunication-Supported Dynamic Vehicle Routing Strategies

Authors
Hilty, Lorenz M. (University of Applied Sciences Solothurn Northwestern Switzerland (FHSO))
Search for Lorenz M. Hilty in Research Programmes Information System
Rogger, André J. (University of Applied Sciences Lucerne (FHZW))
Search for André J. Rogger in Research Programmes Information System
Hartmann, Frank A. (Swiss Federal Laboratories for Materials Testing and Research (EMPA))
Search for Frank A. Hartmann in Research Programmes Information System
Chapter Environmental Management - Logistics
Volume The Information Society and Enlargement of the European Union (Part 1)
Conference 17th International Conference Informatics for Environmental Protection
Cottbus, 2003
Year 2003
Abstract of the Article
We describe the application of a simulation model in the domain of dynamic vehicle routing. This model allows for the assessment of optimization potentials in terms of distance, cost and energy savings. Telecommunication between trucks and their central dispatchers has made it possible to react to short-term orders and traffic disturbances. Therefore it is advantageous to go from a static to a dynamic strategy of vehicle route planning. Then a company must ask how to deal with orders coming in on short notice and what consequences different strategies to handle these orders have on the length of distances driven and the utilization of trucks. Our simulation model is able to answer this question using a sample of the data from one trucking company for its specific situation. All constraints relevant in practice are used in the form of corresponding parameters such as different capacity limits of vehicles, the number of vehicles, drivers’ working times, etc. An additional parameter makes it possible to vary hypothetically (0-100%) the percentage of orders considered “dynamic”, i.e. the ones that have to be integrated into truck routes that are already proceeding. In this way the relative value of different strategies to solve an instance of the Dynamic Vehicle Routing Problem (DVRP) can be simulated given different dynamic shares. Important output variables include the sum of distances driven, the associated costs for the company and the environmental impact. Our model was used to study a Swiss trucking company as an example. It became apparent that the dynamic share influences the total distance driven very differently depending on the strategy chosen.
Pages 305 - 311
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