Inventory inaccuracy is a main issue in businesses dealing with physical assets. The aim of this paper is to examine the relationship between inventory inaccuracy and performance in a retail supply chain. We simulate a three echelon supply chain with one product in which end-customer demand is exchanged between the echelons. In the base model, without alignment of physical inventory and information system inventory, inventory information becomes inaccurate due to low process quality, theft, and items becoming unsaleable. In a modified model, these factors that cause inventory inaccuracy are still present, but physical inventory and information system inventory are aligned at the end of each period. The results indicate that an elimination of inventory inaccuracy can reduce supply chain costs as well as the out-of-stock level. Auto-ID technologies can be one means to achieve inventory accuracy.
The 3rd International Conference on the Internet of Things (IoT2012) will include a highly selective dual-track program for technical papers, accompanied by reports on business projects from seasoned ...
Mark Weiser first proposed Pervasive Computing two decades ago and we've explored the space of his ideas in that time. It's time to explore new wild and crazy -- "hot" -- ideas! The goal of PerHot is ...
As part of their research for GS1, members of the Auto-ID Labs research network have presented a recent update at GS1's Industry and Standards Event in Brooklyn, March 2011.
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