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Titel
Cutting optimal pieces from production items / Michael Kirchhof, Oliver Meyer, Claus Weihs
VerfasserKirchhof, Michael ; Meyer, Oliver ; Weihs, Claus
ErschienenDortmund : Technische Universität Dortmund, Fakultät Statistik, 2019
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource : Illustrationen
SerieTechnical report ; Nr. 1/2019
SchlagwörterRucksackproblem / Optimierung / Softwareentwicklung / Batterie
URNurn:nbn:de:hbz:6:2-122238 
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Cutting optimal pieces from production items [0.51 mb]
Zusammenfassung

In the process of manufacturing various products, a larger production item is first produced and subsequently smaller parts are cut out of it. In this report we present three algorithms that find optimal positions of production pieces to be cut out of a larger production item. The algorithms are able to consider multiple quality parameters and optimize them in a given priority order. They guarantee different levels of optimality and therefore differ in their required computing time and memory usage. We assemble these algorithms with respect to eachs specific benefits and drawbacks and in adaption to the given computational resources. If possible, the process is sped up by splitting the search for pieces on the whole production item into several local searches. Lastly, the approach is embedded into an application with a graphical user interface to enable its use in the industry.

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