An adaptive fuzzy algorithm for cut sequencing of solid wood in furniture component production

An adaptive fuzzy algorithm has been developed to minimize waste in cutting process of solid wood furniture production where each wood strip is cut into shorter pieces depending on the production order. The algorithm and fuzzy classes are defined with adaptability to the input data of each production instance, which improves the results. This algorithm that produces promising results will then be extended to the real problem where the strips are produced on the run and have defects such as knots and cracks.