In the Pnevmaticos and Mann (1972) model, the stem was considered to be made up of a sequence of stages, each stage representing a single minimum length of log, and then the bucking problem was viewed as a sequential decision process.
Faaland and Briggs (1984) integrated a dynamic programming bucking model and a sawing model that could simultaneously optimize log bucking, sawing of logs into live-sawn lumber, and edging lumber into finished dimensions.
Network analysis techniques have been introduced into optimal tree-stem bucking since the mid-1980s (Nasburg 1985, Sessions 1988, Sessions et al.
The log value loss due to poor bucking decisions has been considered one of three major problems of timber production in the northeast of China since 1950 (Che et al.
Tree bucking is traditionally carried out in a centralized log yard in the northeast of China.
The maximization of both value and volume of logs is the ultimate objective when optimally bucking a tree stem (CWSC 1986).
The bucking pattern will be different for hardwoods because the maximum log length is 6 m.