| Summary: | Numerous methods have been developed by forest companies to ensure that the right
logs are processed by the right facility into the right products. Advances in computer
technology have made possible the detailed analysis of vast amounts of electronically
recorded data, such as log scaling data, and the effective and accurate prediction of lumber
recovery from sawlogs using sawing simulation. This thesis describes the development of a
method for improving the utilization of merchantable grade log booms through the
preliminary analysis of log scaling data and the use of bucking and sawing simulation to
predict the lumber value recoverable from various sizes of sawlogs. Potential benefits
include preliminary prediction of lumber production, valuation of log booms to improve
selling and purchasing accuracy in open log markets, and improved profitability through the
specific allocation of a log boom supply to alternative product lines.
Based upon the results of a case study conducted on a Coastal British Columbia
sawmill, the five step method can effectively predict the volumes and sizes of the lumber
contained within a given log boom, as well as provide an estimate of the boom's dollar value.
Overall profitability was also improved using a heuristic based allocation procedure on an
entire month's log supply.
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