Zusammenfassung
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.
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Literatur
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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Ackermann, H., Dinges, A., Küfer, KH. (2019). Decision Support for Cutting Pattern Selection in Sawmills. In: Küfer, KH., Ruzika, S., Halffmann, P. (eds) Multikriterielle Optimierung und Entscheidungsunterstützung. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-27041-4_6
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DOI: https://doi.org/10.1007/978-3-658-27041-4_6
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