Sensor and Automation Event Processing in the Real World (Existing Customer Use Cases) Sam Rehman <samuelson.rehman@oracle.com> Director of Development RFID, Sensor and Automation

With this alone, have we any concern. Kant - Critique of Pure Reason ...and that if the subject, or even only the subjective constitution of the senses in general, be removed, the whole constitution and all the relations of objects in space and time, nay space and time themselves, would vanish. With this alone, have we any concern.

<Insert Picture Here> Sensors and Automation Overview

Sensors  Data  Intelligence  Insight Data made relevant to your business Has it crossed the border? Where is my package? Patient details and history? Any hazardous materials? Are these authentic products? Has it been tampered? Right medication? Is the food still fresh?

Information Driven Enterprises Traditional Business Weeks Megabytes Punch Cards Few People Internet e-Business Days Terabytes Human Driven Many People Real Time Business Seconds Exabytes Event Driven Automated How does data impact your business? Amount of data Type of data Rate of data More accurate data from operations/physical world More data types from RFID/sensors that feed into the Fusion Effect/IT infrastructure How do you take advantage of the Fusion Effect in your operations based on Business Strategy

Typical Sensors Temperature (Thermocouple and RST) Motion/Presence/Location/Direction/Identification (GPS, IRBB, CMOS, RFID, RTLS, UWB, SAW, MiFARE, etc) Weight (Electronic Scales, etc) Dry Contacts Bio-sensors (Retina, fingerprints, etc)

Typical Actuators and Indicators Message Boards (LED, LCD, SBCs, screens,lightstacks,etc) MHE (Carousels, ASRS, etc) General PLCs

Wide range of uses Pharma Supply chain Healthcare Homeland Security Electronic Pedigree Healthcare Patients Equipment Security Manufacturing Part management Boeing/Airbus 10,000 tags/A380 Payment systems Ezpass, ski, movies Smartcards, Cellphone based Security and Access Control …and more uses everyday Supply chain out of stock reduction, automation Reduce shelf management Homeland Security US Visit Container tracking (Tom Ridge) Critical infrastructure protection Transportation Container management, security, Hazmat Asset Tracking Hazmat (chems, explosives) Sensitive materials (vaccines) Expensive (construction) Sensor Networks DoD, Homeland Security, Natural Resource Management

Sensor and Automation Services Oracle Fusion Middleware SENSE & RESPOND DEVICES APPLICATIONS ACCESS Business Intelligence Sensor Data Manager Alerts Portal Solutions ANALYZE Solutions (Compliance,etc) Business Processes Business Activity Monitoring Integration EDGE MANAGE Oracle AS Edge Server Database Application Server Other Applications

Sensor Edge Server Plug and Play, Modular Architecture Oracle Fusion Middleware Device Abstraction Layer OPMN Dispatchers Driver Web Services WS Callbacks Sensor Edge Server Streams Driver Oracle Streams/AQ Groups Internal Store//Forward ALE EPC ALE CLient Driver Local Processors: Filters & Rules EventFlow WS, HTTP,file, Stored Proc, etc Administration Development Services Web Services IS Services JMX Device Mgmt. Custom Solutions EM Sensor Data Management Monitoring Central/Remote Administration Admin Console Reporting Associations EPC Mgmt. Archiving Sensor Data. Sensor Data Repository (optional)

Oracle and The EPCglobal Network Complete product support Oracle E-Business Suite Oracle Fusion Middleware Sensor and Automation Services Oracle Sensor Data Manager (SDM) Oracle Sensor Edge Server (SES) Discovery EPCIS Repository Tools Dev. Mgmt Filtering Local Processing Management IS Integration Clustering ALE Services WMS EAM OTM Retek … Oracle Database 10g RFID Tags RFID Readers RFID Middleware Application Specific Capture Apps EPCIS Services Solutions EPC UHF Gen2 Protocol EPC RP or LPRP EPC ALE EPCIS Capture Interface EPCIS Query Interface

SES Event Processing Support Domain Specific Custom coded needed for specific vertical Eg: Pallet Processor (WMS), Choke (T&T), Presence (Pharma), etc SI Provides Processors: SI uses our framework to build reusable processors for their typical customers Generic Parameterized Local Processors Based on generic algorithms Support for temporal (sliding window) for transient events Custom Processors Self contained user provided extensions (remotely deployed and managed) Long Term Conditions DBMS Rulesets and Expression Filters CEP Engine (Future releases) Meta data driven processing with windowing support

Typical Parameterized Event Processing: Smoothing and Edge Detections 3. Level rises and drops: level rises afterwards and drops in non-predictable intervals Tolerance level for drop detection is based on sliding window, not just from start Signal 5. Event “Exit” generated Edge drops for Y period 1. Pull not seen e.g Tag is not in field in this timeline 2. Event “Enter” generated: Note there is NO preamble Rise of edge is defined as rise after drop for X period of time 4. Cannot consider drop yet Since there is no sync word TIME

Challenges Parameterized Processing is not flexible enough Some customer still needs to customize code (deployment and support issues) Custom (java coded) processors only works for common cases, and will not scale with the range of use cases Need more visibility and simulation into processing Cannot handle both short and wide temporal windows in one language Centralized tool sets for: Defining processing logics, monitoring, viewing exceptions, setting up bindings Difficult to define bindings to adapters (dissemination) Has to be embeddable into Vertical and Horizontal Applications!!! (how to expose the predicates and tools?)

<Insert Picture Here> Real life Use Cases

Multi-dimensional Track and Trace End to end monitoring and audit trail for perishable goods  3PL Ships hands items in temp. controlled containers  Manufacturer packages and tags the containers  Warehouses with environment control bins/shelves  Retail stores with temperature control back-store and shelves Tracking from original packaging to retail Re-packaging, Presence, Choke, Temperature and Light exposure has to be monitored and evaluated every step of the way

Carries MiFARE, iClass or Contactless SIMM/Smart Card Physical Identification: Control Access Open architecture for secure identification Carries MiFARE, iClass or Contactless SIMM/Smart Card  User authorized (or denied). Sends back indicator or open doorway. Attempts and Entry is logged and stored in dbms for audit  Request to enter send to backend IM system, response could be challenge or auth token  User trying to enter secure area Major doorways equipped with readers and indicator, may include keypad for challenge keys Today’s Challenges/Shortcomings Soft identity easily stolen Security & safety compliance Proprietary architecture Sensor-Based Benefits Real-time location & status information Physical identification Open architecture yet maintain end to end cryptography This is not a commitment to deliver. Product directions are subject to change without notice.

Inventory Management: Fewer Parts Automated Re-Order of Spare Parts for Service Depots Location = Shelf 1 Quantity = 1  Receiver sends signal to APS applications Replenishment Order Location = Station 5 Quantity = 1  APS interprets signal as “real demand” and increments demand signal by actual consumed quantity or triggers replenishment order  Service tech needs component off shelf to complete repair  Removing component from shelf sends signal to receiver This diagram outlines the planned flow of RFID tracking of assemblies moving through production. The huge potential of RFID is that data capture does not require user interaction or line of sight. So transactions can be recorded without any manual user interaction with the system. Potential high-value RFID use cases in this business process: Accurate count of assemblies produced, tracking both good and scrap High volume of lot and serial recording for backflush components Automated material movements Track assembly as traveler moves between operations Capture component detail as they are issued to job Receive finished assembly into inventory automatically Presentation of work instructions and drawings Visual aid for flow lines that service multiple assemblies Lot & serial tracking and genealogy Eliminate need for manually keying serial details for each assembly Perpetual Visibility to Materials in WIP Today’s Challenges/Shortcomings Replenishment based on “latent guesstimates” Promotes excess inventories with risk of parts obsolescence Sensor-Based Benefits Real-time spares consumption information with auto-triggering of replenishment orders Improved inventory management

Enterprise Asset Management Tracking health and performance of your expensive equipment Smart Storage SES Oracle Sensor Edge Server Backend Applications: (EAM, CRM FS, etc) MHEs or other metered equipment ADC and networking This diagram outlines the planned flow of RFID tracking of assemblies moving through production. The huge potential of RFID is that data capture does not require user interaction or line of sight. So transactions can be recorded without any manual user interaction with the system. Potential high-value RFID use cases in this business process: Accurate count of assemblies produced, tracking both good and scrap High volume of lot and serial recording for backflush components Automated material movements Track assembly as traveler moves between operations Capture component detail as they are issued to job Receive finished assembly into inventory automatically Presentation of work instructions and drawings Visual aid for flow lines that service multiple assemblies Lot & serial tracking and genealogy Eliminate need for manually keying serial details for each assembly Perpetual Visibility to Materials in WIP Typical Local Processing Generate equipment alert if: Temp. on reg. “Engine15” rise above 110ºF for more than X minutes, and no gaps more than 2 seconds Running mean on temp gradually rising over 2% every month

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<Insert Picture Here> Questions / Answers

The preceding is intended to outline our general product direction The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remain at the sole discretion of Oracle.

Bring up on stage two customers to tell the audience about their experiences. Manpower Associates is a $14.9B global company with 27,000 employees in the temporary staffing business. Manpower runs a combined PeopleSoft Enterprise and JD Edwards EnterpriseOne shop. These experts in human resources use Enterprise HCM for their own staffing and EnterpriseOne Payroll and Service Billing for handling the large volumes of US-based temporary staff. Manpower is very happy with Oracle’s support since purchasing PeopleSoft and is looking forward to a long relationship with Oracle. Spokesperson will be Jay Schaudies, Vice President, Global eCommerce. Welch Foods is the food processing and marketing arm of National Grape Cooperative Association. Organized in 1945, National Grape is a grower-owned agricultural cooperative with 1,461 members. The company, headquartered in Concord, Massachusetts, operates six plants located in Michigan, New York, Pennsylvania and Washington. The company was running a mix of legacy, home grown, and manual systems that failed to provide senior management with accurate and timely cost and production information. Welch’s required a centralized manufacturing and financial information system to improve management decision making. The solution had to be hot-pluggable with existing technologies, for example, Welch’s Plumtree portal. Welch Foods chose Oracle over SAP for this business-critical application. The key to the customer’s business problem was their ability to manage costs. The company’s costs are driven by fruit solid content in each of their products, and they use a specialized technique called BRIX for measuring and calculating the cost of materials. Welch’s compared SAP and Oracle SAP’s software was too rigid and, therefore, unable to include the BRIX calculation in their manufacturing solution. Only Oracle’s OPM could bind this custom cost method into the Quality Management Process. Technology customer yet to be determined. Current possibilities include eBay and FTD Florists.