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Decision support for logistic networks of renewable resources based on tracking and tracing system
Citation
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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Official URL: http://www.univerlag.uni-goettingen.de/handle/3/is...
Abstract
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 |
| Downloads: | 0 |
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