Optimizing the Cross Cutting Operation Using Research Design Method

A cost efficient process is the goal of every part of the wood processing chain. It is directly related to a yield that is gained out of a raw material. On the other hand these processes have to deliver a certain product quality in order to satisfy customer needs. Very often a tradeoff has to be made between the yield and the product quality through optimization processes. The main objective of this work was to study if the research design can be used for the purpose of predicting scanning operation parameters, in order to maximize the yield and keep the mean length of the accepted pieces of center boards at a desired value. The obtained partial least squares (PLS) regression models quite accurately predicted optimum operating settings for the given material. This method can be used to achieve the goal of optimizing the cross cutting operation. Nevertheless the knowledge about the origin of processed boards in terms of the log type they were sawn from is significant, since developed models differed between each other accordingly.