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Decision support for logistic networks of renewable resources based on tracking and tracing system


Taskhiri, MS and Appelhanz, S and Geldermann, J and Schumann, M, Decision support for logistic networks of renewable resources based on tracking and tracing system, Proceedings of the First International Conference on Resource Efficiency in Interorganizational Networks, 13-14 November 2013, Gottingen, Germany, pp. 374-385. ISBN 978-3-86395-142-9 (2013) [Refereed Conference Paper]

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Tracking and tracing systems (TTS) can improve logistics networks and the utilization rate of renewable resources. For wood supply chains, a sub-stantial savings potential through reduced wood loss and improved wood transportation are being reported in the scientific literature. In this study, a logistics network model of two companies producing engineered wood products in Lower Saxony has been implemented using the LCA-software Umberto 7.0 in order to analyze several economic, technical and environ-mental parameters and their possible improvements due to TTS.

Item Details

Item Type:Refereed Conference Paper
Keywords:renewable resources, logistics, tracking and tracing system, Umberto, wood flow
Research Division:Information and Computing Sciences
Research Group:Other information and computing sciences
Research Field:Other information and computing sciences not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Environmentally sustainable information and communication services
Objective Field:Environmentally sustainable information and communication services not elsewhere classified
UTAS Author:Taskhiri, MS (Dr Mohammad Sadegh Taskhiri)
ID Code:112011
Year Published:2013
Deposited By:Office of the School of Engineering
Deposited On:2016-10-21
Last Modified:2018-03-28

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