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International Journal of Advances in Computer Science and Its Applications

Analyzing Supply Chain Nodes in Heterogeneous Environments Based on Transaction Data with Respect to Independent Item Behavior

Author(s) : LUKAS KOPECKI, SEBASTIAN LAUCK, SIMON BOXNICK

Abstract

Sizing and redesign of new and existing supply chain nodes, like warehouses or logistic hubs are highly datadependent tasks, incorporating lots of transaction information which are mostly available through ERP systems. Therefore, item-based forecasting and lot sizing models, approximations or both are used widely when planning new supply chain nodes. This paper introduces a new approach of data-aggregation based on probability functions of each item (e.g. stock keeping units (SKU)) incorporating compensating behavior and timedependent aspects

No fo Author(s) : 3
Page(s) : 41 - 45
Electronic ISSN : 2250 - 3765
Volume 5 : Issue 1
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