Abstract
Exhaustive search algorithms in simulation models are used by the secondary wood industry to find the optimal cutting pattern to cut lumber into dimension parts. Finding the optimum cut-up solution is of paramount importance to the industry for controlling product costs. For this purpose, the USDA Forest Service created the ROugh MIll RIP-first simulator (ROMI-RIP), a simulation model providing near optimum lumber cut-up solutions. However, ROMI-RIP was never truly validated nor was its performance directly proven. This study used data derived from a state-of-the-art rough mill to validate the program and to show its performance. Results show that ROMI-RIP outperformed the rough mill by more than 7% yield (71.1% versus 64.0%). Manufacturers of solid-wood products can realize significant yield gains by using ROMI-RIP. Additional benefits include lower production costs and significant savings in raw materials.
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