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Title:	*Influence Of Random Orders On The Bullwhip Effect*
Authors:	Hans-Peter Barbey
Published in:	(2017).ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN: 978-0-9932440-4-9/ ISBN: 978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23^rd – May 26^th, 2017
Citation format:	Hans-Peter Barbey (2017). Influence Of Random Orders On The Bullwhip Effect, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0482
DOI:	https://doi.org/10.7148/2017-0482
Abstract:	Supply chains in industry have a very complex structure. The influence of many parameters is not known. Therefore the control of the orders, material flow and stock is rather difficult. In order to recognize the basic relationships between the parameters, a very simple model was set up. It consists of 4 identical stages. In all stages the stock is closed-loop controlled to a nominal stock. Therefore the only decision which can be made in the entire supply chain is the quantity of an order. In a first simulation run a suitable order strategy will be defined. Good results can be realized, if an order is splitted up in two: A customer's order and a stock order. In a second run this strategy will be applied to orders, which contain a seasonal trend and a random part. It will be shown that the bullwhip effect can be minimized with the applied order strategy.
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