An integrated 3D log processing optimization system for hardwood sawmills in central Appalachia, USA

An integrated 3D log processing optimization system was developed to perform 3D log generation, opening face determination, headrig log sawing simulation, flitch edging and trimming simulation, cant resawing, and lumber grading. A circular cross-section model together with 3D modeling techniques were used to reconstruct 3D virtual logs. Internal log defects (knots) were depicted using a cone model with apex at the central axis of the log. Heuristic and dynamic programming (DP) algorithms were developed to determine the best opening face, primary log sawing, edging and trimming, and cant resawing optimization. The National Hardwood Lumber Association (NHLA) grading rules were computerized and incorporated into the system for lumber grading. Sawing methods considered in the system include live sawing, cant sawing, grade sawing, and multiple-thickness sawing. The system was tested using field data collected at two central Appalachian hardwood sawmills. Results showed that using the optimization system can significantly improve lumber value recovery. The optimization system can assist mill managers and operators in efficiently utilizing raw materials and increasing their overall competitiveness in the ever-changing forest products market.

► An integrated 3D system was developed for log processing optimization.
► The system was implemented using both heuristic and dynamic programming algorithms.
► The NHLA lumber grading rules were computerized and incorporated into the system.
► Lumber value recovery can be significantly improved by using this system.
► The system can be used to assist managers in sawmilling process.