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Complex Event Processing in Transportation & Logistics
sponsored by Progress Software, Inc.

The first in the series of Complex Event Processing (CEP) in transport and logistics podcasts looks at the challenges that are facing the industry today, explains the concept of CEP and highlights how CEP can be used in real-time intelligent decision making to save money and meet SLAs. With Apama, you can use the power of complex event processing to deliver true operational effectiveness by correlating business-relevant events from warehouse, transportation and vehicle management systems as well as environmental data from sensors, GIS/GPS devices and RFID systems. Those events become meaningful when you can define rules that determine what actions can be taken based on your scenarios. User-defined and dynamic dashboards offer up real-time views of events that put you "in the moment."

The solution will enable you to:

  • Direct and predict more effectively material, trucks, people etc. to places they are required
  • Real-time track and trace inventory, people and equipment to optimize loading
  • Develop scenarios that can perform time-based analysis, making it possible to act on events that occur within a certain timeframe
  • Provide alerts when rules determine something is not moving as expected
  • Have full visibility and automated matching of loads through route optimization (full load going and full load backhaul)
  • Monitor accurate estimated time of arrivals (ETA) to docks and ports and automatically direct resources for
  • Detect, in real-time, and automatically respond to supply chain
  • Ensure optimal capacity usage

Interested in this topic, but prefer alternative content formats? Try:

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Available Resources from Progress Software, Inc.
Complex Event Processing and Service-Oriented Architecture
sponsored by Progress Software, Inc.
Webcast: |  Posted: 30 Oct 2009
Premiered: Available On Demand
Summary: This webcast shows the potential roles of both general and complex event processing within your SOA initiative, and how these two approaches can be applied in a complementary fashion to meet a variety of business objectives.


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