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Decision Support for Cutting Pattern Selection in Sawmills

: Ackermann, Heiner; Dinges, Andreas; Küfer, Karl-Heinz


Küfer, Karl-Heinz; Ruzika, Stefan; Halffmann, Pascal ; Deutsche Gesellschaft für Operations Research -DGOR-:
Multikriterielle Optimierung und Entscheidungsunterstützung : Tagungsband GOR Entscheidungstheorie und -praxis 2018, Kaiserslautern
Wiesbaden: Springer Gabler, 2019
ISBN: 978-3-658-27040-7
ISBN: 3-658-27040-3
ISBN: 978-3-658-27041-4
DOI: 10.1007/978-3-658-27041-4
Gesellschaft für Operations-Research, Arbeitsgruppe Entscheidungstheorie und -praxis (GOR Annual Meeting) <2018, Kaiserslautern>
Fraunhofer ITWM ()

The 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.