A Two-Stage Decision Model for Log Bucking and Allocation

To ensure efficient and economic utilization of trees into finished products, log bucking and allocation decisions should be integrated and optimized simultaneously. This paper describes a conceptual approach for solving this problem by formulating the integrated wood resources allocation problem as a two-stage decision process. The first stage decision involves determining an optimal allocation policy for the logs and other products. The second stage decision consists of generating alternative log bucking policies. Models developed for each stage are interfaced using a column generation technique which closely parallels the Dantzig-Wolfe decomposition algorithm.

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