PAMM
Volume 6, Issue 1 pp. 667-668
Section 14
Free Access

Cash Recycling Systems: Prediction and Optimization

Ute Günther, 

Ute Günther

TU Darmstadt, Fachbereich Mathematik, AG Discrete Optimization, Schloßgartenstraße 7, 64289 Darmstadt

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Alexander Martin, 

Alexander Martin

TU Darmstadt, Fachbereich Mathematik, AG Discrete Optimization, Schloßgartenstraße 7, 64289 Darmstadt

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Klaus Ritter, 

Klaus Ritter

TU Darmstadt, Fachbereich Mathematik, AG Stochastics and Operations Research, Schloßgartenstraße 7, 64289 Darmstadt

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Tim Wagner, 

Corresponding Author

Tim Wagner

TU Darmstadt, Fachbereich Mathematik, AG Stochastics and Operations Research, Schloßgartenstraße 7, 64289 Darmstadt

Phone: +49 6151 16 4181, Fax: +49 6151 16 6822Search for more papers by this author
First published: 23 January 2007
https://doi.org/10.1002/pamm.200610314

Abstract

We predict the future turnovers of Cash Recycling System (CRS) by simple and efficient time series methods using the past data. Based on this prediction, we present an Mixed Integer Programming approach to find optimal replenishment schedules in reasonable running-time. (© 2006 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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