AN OPTIMIZATION AND SIMULATION FRAMEWORK FOR INTEGRATED TACTICAL PLANNING OF WOOD HARVESTING OPERATIONS, WOOD ALLOCATION AND LUMBER PRODUCTION
Résumé
This research addresses the problem of tactical planning in a lumber supply chain. It proposes a framework for incorporating together data from two software, which simulate harvesting operations and lumber production, into an optimization module called LogiOpt. Using this framework, decisions regarding harvesting, transportation, wood allocation and lumber production can be integrated. Although the idea of global optimization is not entirely new, the main challenge has always been to obtain the data required. With the proposed framework, simulation allows us to obtain the information needed. Thus, by rethinking the tactical planning process and making it focus on value rather than on costs, we provide an optimal solution to the tactical planner, helping him make better decisions. Experiments carried-out using industrial data from a large Canadian company indicate that many opportunities are lost because the planner focuses more on cost-related considerations. These results illustrate why the forest supply chain needs to be considered as a whole rather than by its individual components. They also show the potential of using both simulation and optimization together in order to capture those gains.
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