Ackermann, HeinerHeinerAckermannDinges, AndreasAndreasDingesKüfer, Karl-HeinzKarl-HeinzKüfer2022-03-142022-03-142019https://publica.fraunhofer.de/handle/publica/40535010.1007/978-3-658-27041-4_6The economic success of sawmills heavily depends on the quality of the log cutting patterns. As in many other applications, quality is a multi-dimensional measurement including technical and commercial aspects as well as individual preferences. In this extended abstract, we describe a decision support system that enables sawmills to identify efficient cutting patterns. The approach bases on the possibility to quickly enumerate all feasible patterns.en003006519conference paper