Digital Library of the European Council for Modelling and Simulation

Title:	Integration Of Ecological Criteria Into The Dynamic Assessment Of Order Penetration Points In Logistics Networks
Authors:	Jan Cirullies, Katja Klingebiel, Luiz Felipe Scavarda
Published in:	(2011).ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho. European Council for Modeling and Simulation. doi:10.7148/2011 ISBN: 978-0-9564944-2-9 25^th European Conference on Modelling and Simulation, Jubilee Conference Krakow, June 7-10, 2011
Citation format:	Cirullies, J., Klingebiel, K., & Scavarda, L. F. (2011). Integration Of Ecological Criteria Into The Dynamic Assessment Of Order Penetration Points In Logistics Networks. ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho (pp. 608-615). European Council for Modeling and Simulation. doi:10.7148/2011-0608-0615
DOI:	http://dx.doi.org/10.7148/2011-0608-0615
Abstract:	By recognizing the necessity of climate protection, the demand for approaches to advance the efficient use of energy is growing. Logistics bears great potential regarding energy consumption and emissions; major improvements can be achieved by careful strategic planning or process re-organization. One key decision within this supply chain design task is the placement of the order penetration point (OPP) which influences both cost and service levels in a supply chain strongly. In order to position and assess decoupling points in global supply chains, we present a methodology which takes product, process and market dynamics into account by combining an early analytical approach with a detailed simulation-based assessment. Within this methodology we distinguish between drivers, i.e. parameters, on the one hand and assessment criteria on the other hand. Consequently, we present the integration of ecological objectives and simulation-compatible indicators into the assessment criteria and exemplarily the according application-based on an industry use case to demonstrate interdependencies between logistics performance, costs and ecological considerations.
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