1. SENSE AND RESPOND LOGISTICS R&D Activities at University of North Carolina at Chapel Hill S&RL Workshop Fort Belvoir, Virginia September 21, 2006 Dr. Noel P. Greis, Director Center for Logistics and Digital Strategy

2. A SNAPSHOT UNC Center For Logistics And Digital Strategy Part of Kenan-Flagler Business School Established in 1998 at UNC’s Kenan Institute as a resource for organizations struggling with complexity and organizational transformation Areas of Specialization –Network Centric Logistics (Anticipatory Logistics, S&R Logistics, etc.) –Emerging Technology (Machine Agents, RFID, Wireless, GPS/GIS) –Intelligent Enterprising –Decision Support Tools –Real-Time Event-Driven Business Processes –“Smart Products” Industry focus on aviation and aerospace, defense, complex industries Serves both private (Boeing, FedEx, EDSA, SAP, Caterpillar) and non-profit/public sector (NSF, DARPA, NASA, FAA, NSA, CTC, SAIC) organizations Large-Scale Pattern Recognition Adaptive Business Processes and Workflows Real-Time Learning for Autonomous Decision Support Dynamic Asset Management Event-Driven Continuous Planning and Scheduling

3. SENSE AND RESPOND LOGISTICS ….leverages IT-enhanced adaptation and learning (rather than optimization) to transform logistics processes into demand- driven networks that are more effective in achieving defense/commercial goals. SENSERESPOND INTERPRETDECIDE Adaptive Learning Intelligent Decision Support S&R Operations

4. VISIBILITY RFID/MTS for Total Asset Visibility + REAL-TIME (AUTONOMOUS) ASSET CONTROL Distributed Systems with decision-making elements (software agents) distributed throughout the system at the nodes + “SMART” PROGNOSTICS Prognostics, along with sensors, detect, classify, and predict developing system faults leading to failure. BUILDING SENSE&RESPOND CAPABILITY LAYER BY LAYER

5. Visibility… TAV IS FOUNDATION OF S&R/NCL MANUFACTURER REGULATORY BODY MANUFACTURER COMPONENT MAKER COMPONENT MAKER MRO AIRLINE EPC NETWORK- BASED INFORMATION SYSTEM RFID is one enabler… Provides Information AND Asset Visibility Must be Embedded in an information strategy Business/logistics processes need to be changed! Need for new infrastructure Build the “Business Case” Standards! 345.1765329.123456.100000000 CLDS is an academic affiliate of EPCglobal Life-Cycle Management for Aviation Parts

6. University of North Carolina Kenan Institute of Private Enterprise USA Instituto Tecnologico Estudios Superiores de Monterrey (ITESM) Mexico UNC-TSINGHUA COLLABORATIVE RFID LABORATORY FOR S&R/NCL Department of Industrial Engineering Tsinghua University Beijing, China) RFID SIMULATION ENVIRONMENT LINKING CLDS INTELLIGENT SYSTEMS LAB and TSINGHUA LOGISTICS LAB FOR R&D APPLICATION DEVELOPMENT Information and asset visibility based on EPCglobal architecture/standards

7. Visibility and Real-Time Asset Control… Situational Awareness and Logistics C2 Sensor agents on each vehicle REPORT STATUS to other vehicles through publish-and- subscribe Collaboration agents continuously negotiate contracts for CROSS- LEVELING Sensors and Intelligent Software on Platforms Monitor On-Board Assets and Make Autonomous Re- Supply and Cross- Leveling Decisions in Real Time When supplies run low, RE-SUPPLY is triggered autonomously (or manually, if preferred) Recommending agents learn which re-supply missions have been successful and RECOMMEND mission route. Sense….Interpret…..Respond 1 3 2

8. “SMART” PROGNOSTICS (Embedded in Intelligent Logistics Systems) Aerospace Industry Given the “commoditization” of aircraft as a product, manufacturers market their products with a “Total Care” package of services. Power Industry Given the high cost of power outages, equipment manufacturers are selling “reliability”……sensors and prognostics remotely monitor performance to keep plants running 24/7. Defense Community Given the objectives of maximum readiness and capability with smaller footprints the DoD can integrate prognostics into sense-and-respond logistics processes to not only “sense” the environment, but predict and anticipate future needs. A “smart” platform embedded in an intelligent logistics system can manage its own health and logistics support through prognostics that “sense” the current state of the platform, anticipate the future state of the system, and “respond” to maximize operational performance and lifespan.

9. PROGNOSTICS-INTEGRATED LOGISTICS SUPPORT Command & Control Command & Control Maintenance Real-Time Information-Embedded Supply, Support and Control Network Embedded Sensor Suite Intelligent Agents: Ultimately: Entire Supply Chain and FCS Embedded Sensor Suite R&D Engineering Production Logistics PROGNOSTICS AND “SMART” PLATFORMS TRANSFORM ALL UNDERLYING SUPPORT PROCESSES Intelligent Agents:

10. PARTICULAR CHALLENGES FOR THE DoD COMMUNITY Aligning “business model” and IT solution Interoperability of sensors, control systems and actuators Integration with legacy systems Information schemas for S&R Metrics for S&R Identification of new applications/services enabled by S&R concepts