An integrated framework for warehouse management using wireless sensor networks and decision support systems

Authors:
Punit Ahluwalia;Anand Ramachandran
Affiliations:
The University of Texas -- Pan American Edinburg, Texas;Intel Corporation Austin, Texas
Venue:
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
Year:
2011

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Abstract

Storage Warehouse managers face diverse challenges in operating and managing a warehouse. Problems range from capacity-planning and inventory management of stored goods, loss or damage of stored goods due to weather changes, pest infestation and improper handling, to infrastructure issues arising from damage to physical components, such as buildings, storage components, and so on. In this paper we propose an integrated framework for warehouse management using wireless sensor networks and decision support systems. The framework takes inputs endogenously, from different warehouses using wireless sensors, and exogenously from different information systems, and routes them to a central decision support system. The central decision support system takes globally optimal decisions and produces actionable solutions to minimize cost/losses.