Constraint satisfaction in logic programming
Constraint satisfaction in logic programming
Intelligent scheduling
The fleet assignment problem: solving a large-scale integer program
Mathematical Programming: Series A and B
The vehicle routing problem
Metaheuristics for the capacitated VRP
The vehicle routing problem
The vehicle routing problem
Constraint-Based Scheduling
Constraints
Simultaneous Vehicle and Crew Scheduling in Urban Mass Transit Systems
Transportation Science
Models and Algorithms for Integration of Vehicle and Crew Scheduling
Journal of Scheduling
A Reactive Variable Neighborhood Search for the Vehicle-Routing Problem with Time Windows
INFORMS Journal on Computing
Constraint-Based Local Search
Discrete Applied Mathematics
A hybrid method based on linear programming and tabu search for routing of logging trucks
Computers and Operations Research
Scheduling a log transport system using simulated annealing
Information Sciences: an International Journal
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We present a synchronized routing and scheduling problem that arises in the forest industry, as a variation of the log-truck scheduling problem. It combines routing and scheduling of trucks with specific constraints related to the Canadian forestry context. This problem includes aspects such as pick-up and delivery, multiple products, inventory stock, multiple supply points and multiple demand points. We developed a decomposition approach to solve the weekly problem in two phases. In the first phase we use a MIP solver to solve a tactical model that determines the destinations of full truckloads from forest areas to woodmills. In the second phase, we make use of two different methods to route and schedule the daily transportation of logs: the first one consists in using a constraint-based local search approach while the second one is a hybrid approach involving a constraint programming based model and a constraint-based local search model. These approaches have been implemented using COMET2.0. The method, was tested on two industrial cases from forest companies in Canada.