RuttOpt - A Decision Support System for Routing of Logging Trucks

We describe the decision support system RuttOpt, which is developed for scheduling logging trucks in the Swedish forest industry. The system is made up of a number of modules. One module is the Swedish road database NVDB which consists of detailed information of all the roads in Sweden. This also includes a tool to compute distances between locations. A second module is an optimization routine that finds a schedule i.e. set of routes for all trucks. This is based on a two phase algorithm where Linear Programming and a standard tabu search method are used. A third module is a database, storing all relevant information. At the heart of the system is a user interface where information and results can be viewed on maps, Gantt schedules and result reports. We also describe the characteristics of the general routing problem in forestry together with a focus on the planning process and systems in use in the Swedish situation. The system RuttOpt has been used in a number of case studies and we describe four of these. The case studies have been made in both forest companies and hauling companies. The cases range from ten to 110 trucks and with a planning horizon ranging from between one and five days. The results show that the system can be used to solve large case studies and that the potential savings are in the range 5-30%.

[1]  Mikael Frisk,et al.  FlowOpt – A Decision Support Tool for Strategic and Tactical Transportation Planning in Forestry , 2005 .

[2]  Andres Weintraub,et al.  A Truck Scheduling System Improves Efficiency in the Forest Industries , 1996 .

[3]  Mikael Rönnqvist,et al.  Decision support system/tools : Transportation and route planning , 2003 .

[4]  Michel Gendreau,et al.  A guide to vehicle routing heuristics , 2002, J. Oper. Res. Soc..

[5]  Mikael Rönnqvist,et al.  A hybrid method based on linear programming and tabu search for routing of logging trucks , 2009, Comput. Oper. Res..

[6]  Mikael Rönnqvist,et al.  Cost Allocation in Collaborative Forest Transportation , 2006, Eur. J. Oper. Res..

[7]  Mikael Rönnqvist,et al.  A solution approach for log truck scheduling based on composite pricing and branch and bound , 2003 .

[8]  G. Clarke,et al.  Scheduling of Vehicles from a Central Depot to a Number of Delivery Points , 1964 .

[9]  Mikael Rönnqvist,et al.  Optimization in forestry , 2003, Math. Program..

[10]  Mikael Rönnqvist,et al.  A near-exact method for solving the log-truck scheduling problem , 2004 .

[11]  Myrna Palmgren,et al.  Optimal Truck Scheduling : Mathematical Modeling and Solution by the Column Generation Principle , 2005 .

[12]  Gilbert Laporte,et al.  A unified tabu search heuristic for vehicle routing problems with time windows , 2001, J. Oper. Res. Soc..

[13]  Glen Murphy,et al.  Reducing Trucks on the Road through Optimal Route Scheduling and Shared Log Transport Services , 2003 .

[14]  Paolo Toth,et al.  The Vehicle Routing Problem , 2002, SIAM monographs on discrete mathematics and applications.

[15]  Catherine Gingras Un algorithme de minimisation du transport à vide appliqué à l'industrie forestière , 2007, INFOR Inf. Syst. Oper. Res..

[16]  Mikael Rönnqvist,et al.  Backhauling in forest transportation : models, methods and practical usage , 2007 .

[17]  Michel Gendreau,et al.  Metaheuristics for the Capacitated VRP , 2002, The Vehicle Routing Problem.