10h30 - 10h55
A Column Generation Approach for Demand-Driven Harvest Scheduling
We consider the problem of assigning to each harvest team an annual schedule to satisfy the demands at the mills, while minimizing the costs associated to each activity along the value chain. A MIP model and a heuristic based on column generation have been used, where columns represent harvest schedules. We present computational results in the context of eastern Canadian forests.
10h55 - 11h20
Solving a Synchronized Log-Truck Scheduling Problem with Column Generation
We present a synchronized routing and scheduling problem that arises in the forestry industry. We allocate harvested volumes to mills, determine inter-period storage, and construct log-truck routes to deliver the harvest while synchronizing the trucks with log-loaders. A column generation methodology is proposed, and results given on several case studies.
11h20 - 11h45
Modeling and Solving a Complex Dynamic Facility Location Problem
We study a complex extension of a multi-period multi-commodity facility location problem appearing in the Forestry Industry. A set of valid inequalities and heuristic starting solutions significantly improve the solutions found by CPLEX. Two simplified versions of the problem are efficiently solved by Lagrangean Relaxation, often outperforming CPLEX.