Analyzing Supply Chain Nodes in Heterogeneous Environments Based on Transaction Data with Respect to Independent Item Behavior
S. Lauck, S. Boxnick, Lukas Kopecki, International Journal of Advances in Computer Science & Its Applications - IJCSIA 5 (2015) 41–45.
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Journal Article
| Published
| English
Author
Lauck, Sebastian;
Boxnick, Simon ;
Kopecki, Lukas
Publishing Year
Journal Title
International Journal of Advances in Computer Science & Its Applications - IJCSIA
Volume
5
Issue
1
Page
41-45
LibreCat-ID
Cite this
Lauck S, Boxnick S, Kopecki Lukas. Analyzing Supply Chain Nodes in Heterogeneous Environments Based on Transaction Data with Respect to Independent Item Behavior. International Journal of Advances in Computer Science & Its Applications - IJCSIA. 2015;5(1):41-45.
Lauck, S., Boxnick, S., & Kopecki, Lukas. (2015). Analyzing Supply Chain Nodes in Heterogeneous Environments Based on Transaction Data with Respect to Independent Item Behavior. International Journal of Advances in Computer Science & Its Applications - IJCSIA, 5(1), 41–45.
@article{Lauck_ Boxnick_ Kopecki_2015, title={Analyzing Supply Chain Nodes in Heterogeneous Environments Based on Transaction Data with Respect to Independent Item Behavior}, volume={5}, number={1}, journal={International Journal of Advances in Computer Science & Its Applications - IJCSIA}, author={Lauck, Sebastian and Boxnick, Simon and Kopecki, Lukas}, year={2015}, pages={41–45} }
Lauck, Sebastian, Simon Boxnick, and Lukas Kopecki. “Analyzing Supply Chain Nodes in Heterogeneous Environments Based on Transaction Data with Respect to Independent Item Behavior.” International Journal of Advances in Computer Science & Its Applications - IJCSIA 5, no. 1 (2015): 41–45.
S. Lauck, S. Boxnick, and Lukas Kopecki, “Analyzing Supply Chain Nodes in Heterogeneous Environments Based on Transaction Data with Respect to Independent Item Behavior,” International Journal of Advances in Computer Science & Its Applications - IJCSIA, vol. 5, no. 1, pp. 41–45, 2015.
Lauck, Sebastian, et al. “Analyzing Supply Chain Nodes in Heterogeneous Environments Based on Transaction Data with Respect to Independent Item Behavior.” International Journal of Advances in Computer Science & Its Applications - IJCSIA, vol. 5, no. 1, 2015, pp. 41–45.
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