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
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International Journal of Advances in Computer Science & Its Applications - IJCSIA
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5
Issue
1
Page
41-45
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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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