Supply Chain Transformation Through AIT Convergent Technologies

Transcription

1 Supply Chain Transformation Through AIT Convergent Technologies Dr. Kenneth A. Gabriel Senior Research Scholar And Director, Center for Integrated Security Logistics University of Maryland College Park, MD October 23, DoD Maintenance Symposium Reno, Nevada Center for Integrated Security Logistics 1 University of Maryland, College Park, MD

2 Outline Motivation for technologies conversion Sense and Respond model Conceptual framework F/A-18 Example Challenges Center for Integrated Security Logistics 2 University of Maryland, College Park, MD

3 AIT Conversion? Automatic Identification Technologies (AIT): -Sensors - Identification (what, where, when) - Interpretation (prognostics) - Respond (communication, corrective action) Autonomous, tailored, stand-off, response Distributed asset management (tyranny of numbers) Action when and if required, not scheduled (economics) Center for Integrated Security Logistics 3 University of Maryland, College Park, MD

4 Military Supply Chain (Logistics) Logistics when and if required, not scheduled Readiness prioritization Rapid forecasting and planning Expeditionary vs. garrison force structure Impedance matching of logistics and operation (OPTEMPO) Adaptive IT networks for joint, and coalition, integration Center for Integrated Security Logistics 4 University of Maryland, College Park, MD

5 Military Logistics Global Context Increasing Logistics Burden Expeditionary Garrison Equipment Volume and Weight of US Infantry Center for Integrated Security Logistics 5 University of Maryland, College Park, MD

6 Demand vs. Supply Chain (Pull Vs. Push) Demand closest to commander s intent Demand signals drive supply Demand satisfaction most efficient Demand signal subject to continuous improvements Demand forecasting realization possible Demand merges logistics and operations Demand anticipatory not reactive Center for Integrated Security Logistics 6 University of Maryland, College Park, MD

7 Sense and Respond Network Sensors BIT Comm AIT EMI Middleware Sense Communicate Center for Integrated Security Logistics 7 University of Maryland, College Park, MD

8 Sense and Respond Network Sensors BIT Comm AIT EMI Middleware Sense Communicate Interpret Learn Prioritize Prognostics Diagnostics Algorithms IVHM C4I TAV Center for Integrated Security Logistics 8 University of Maryland, College Park, MD

9 Sense and Respond Network Sensors BIT Comm AIT EMI Middleware Sense Communicate Interpret Learn Prioritize Diagnostics Algorithms Prognostics IVHM C4I TAV Portal Wi-Fi AIT Middleware Forecasting Respond Supply Center for Integrated Security Logistics 9 University of Maryland, College Park, MD

10 Sense and Respond Network Sensors BIT Comm AIT EMI Middleware Sense Communicate Interpret Learn Prioritize Diagnostics Algorithms Prognostics IVHM C4I TAV Portal Wi-Fi AIT Middleware Forecasting Respond Supply Center for Integrated Security Logistics 10 University of Maryland, College Park, MD

11 Sense Domain Ever increasing number and functionalities Platform specific: - Aircraft - Naval vessels - Ground vehicles - Missiles and munitions - People - Gulf Coast, for example Center for Integrated Security Logistics 11 University of Maryland, College Park, MD

12 Interpretation Domain New - Prognostics - Sensor(s) data reliability? - Real-time forecasting - Trade-offs - Readiness score card - What-if scenarios. Logistics, busniess cases, medical intervention, investments, - C2 (Command and Control) enabler Center for Integrated Security Logistics 12 University of Maryland, College Park, MD

13 Response Domain End-to-end supply chain AIT (RFID, biometrics, smart devices,..) Convergence of new and legacy systems Portal, WWW, open architecture Password protected, single sign on for secure business and clients data Middleware to fuse ongoing IT initiatives and legacy databases Collaboration for training and trouble shooting Center for Integrated Security Logistics 13 University of Maryland, College Park, MD

14 University of Maryland Sense and Respond Logistics Program Center for Integrated Security Logistics 14 University of Maryland, College Park, MD

15 Example: F/A-18 Sense and Respond Portal Objectives: Adopt existing F/A-18 infrastructure to host F/A-18 Sense and Respond Portal Link F/A-18 Maintenance & Supply Middleware for PBL supply, Common Supply (Legacy), and contractor s AME AIT-Communication (Last Mile) to enable F/A-18 Supply and AME Real-time Connectivity Center for Integrated Security Logistics 15 University of Maryland, College Park, MD

16 Sense and Respond Pilot (SRP) Phase I Diagnostics Sub-Tier Vendors Vendors On board sensors On board diagnostics On board com to GS AME OOMA/ MMIS Portal/Firewall Supply Legacy PBL Program Management RFID Reader Shipping Container All communications are wireless All communications are wireless Forecasts Center for Integrated Security Logistics 16 University of Maryland, College Park, MD

17 Sense and Respond Technical Challenges Development of standardized sensors and validated algorithms Launch and continue work for affordable Prognostics infrastructure Backward integration of S&I (sense and interpret) into early PBL and legacy Common communication protocols and sensor signal standards Development of near real-time forecasting and decision support Development and maturation of AIT Secure and available bandwidth for sense and respond logistics EMI issues blocking adoption of wireless and mobile technology Common IT tool sets across Services ERP Center for Integrated Security Logistics 17 University of Maryland, College Park, MD