SAP RESEARCH John Ellenberger SAP Labs, Boston
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SAP RESEARCH John Ellenberger SAP Labs, Boston

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  • Quality of information that is delivered via machine versus people can be brought to new levels of sophistication Enhanced quality of information for decision making
  • not just vending – also applicable for meter reading an other scenarios scenario 1: machine + data collection offline scenario 2: offline device and offline … advantage: less errors, accurate + complete data, efficient, paperless scenario 3: machine offline, data collection online (mobile / WAP) advantage: real-time data, efficient scenario 4: machine online, no data collection  Accurate and timely data leads to better customer service and increased sales  fine grain selling profiles (data mining to analyze sale patterns, optimizing stocks)  advanced selling options (payment via cell phone, dynamic pricing)
  • Infrastructure and content Current content focused on SCM/WM areas
  • Handling association of RFID data to the apps that are making decisions with the data and to the tracking/tracing systems. Running on its own db which is a SQL db underneath. Mobile readers or fixed readers are connected. Example, loading action is an expected event and has the assignment of that event in the backend system to the shipment/delivery. Administration can be centralized in a distributed environment Information (reads) are stored in a parent/child relationship within AII XI is used as a mapping tool to manage the mapping activities such as the STO/delivery to the EPC. 4.6C is supported. SQL WAS 6.40 (basis layer). Aim of AII is to support a distributed infrastructure in close proximity to the readers. Response times with TRM is 200ms, but it needs to be 20millisecond. Connection depends on the device controller. Most devices have TCP sockets and are not able to be in a distributed environment so they cannot be in a XML / SOAP environment. Matrix is looking to create a savant style situation. Note: With 4.6C, XI would need to be on a separate server. Devices supported – mid-April will be a certification program for devices. High level (SAVANT) style system (device controller) can do some filtering. Low Level filtering, for example, multiple reads on a single tag, the low level can discern the difference. What makes up a device controller – there are environmental factors such as dust, reader power, frequency, etc… The parameters which guide the reader can be downloaded to the reader from AII. This will be a partner function/solution or reader manufacturer’s solution if we do not provide it ourselves. We have several development areas and we have done several tests through our research department. Intermec readers – long relationship, Phillip, TI, Matrix, Alien. Our intention is to not deliver software which is hardware specific. We try to work with the various partners to help them work with SAP. Task of receiving data from readers and assigning information to backend systems. 2 certifications – device controller, get raw data from reader interfaced to SAP landscape. High level interface – get intelligent information like SAVANTs. Must be able to associate this information via SQL database as to the information and how it relates to the EPC pallet and case. There are attributes associated with that information such as location, type, etc… Action and process level takes care of assignment to business process level information. Example: ASN to AII can check to see if information is complete, actions can be taken when the data is incomplete. Have to issue a command to a display to a worker, automatically do the GR with differences, etc…Configuration and administration management – must be close to readers for direct communication such as R2C2, TCPIP, SOAP, etc.. Must get system architecture to respond very fast to reads. For example, after GR must move pallet through automatic conveyer system. Backend integration via the XI to make sure the messages going to the backend side are handled according to the sequencing and utilizing subscription mechanism handled by XI to handle as well the feedback to backend systems. High administration for other middleware.
  • Control and Monitoring Process, plant, equipment monitoring Asset management Product lifecycle management Preventive maintenance Environmental monitoring (precision agriculture, habitat monitoring) Security and Safety Logistics (transportation, dangerous goods, electronic seals) Emergency response Workplace safety Structure monitoring Defensive / military applications Others Home automation & facility management Health monitoring Consumer electronics

SAP RESEARCH John Ellenberger SAP Labs, Boston SAP RESEARCH John Ellenberger SAP Labs, Boston Presentation Transcript

  • SAP RESEARCH John Ellenberger SAP Labs, Boston
  • Summary of SAP Today
    • SAP AG in 2003 revenues: € 7.0 billion
      • 76,100 installations
      • More than 22,600 companies run SAP
      • Providing 27 Industry Solutions
      • 30,166 SAP employees (March 2004)
    • 12 million users in 120+ countries team with us to
      • Integrate their business processes
      • Extend their competitive capabilities
      • Get a better return on investment at a lower total cost of ownership
    • Unique Partner Ecosystem
      • More than 1,500 partners
      • Overall more than 1 80, 000 SAP p artner c ertificates
  • Foundation for Adaptive Enterprise SAP NetWeaver – The Open Integration and Application Platform Powers the Adaptive Enterprise COMPOSITE APPLICATION FRAMEWORK PEOPLE INTEGRATION Multi channel access Portal Collaboration INFORMATION INTEGRATION Bus. Intelligence Master Data Management Knowledge Mgmt PROCESS INTEGRATION Integration Broker Bus. Process Mgmt APPLICATION PLATFORM J2EE DB and OS Abstraction ABAP LIFE CYCLE MANAGEMENT ... COMPOSITE APPLICATION FRAMEWORK PEOPLE INTEGRATION Multi channel access Portal Collaboration INFORMATION INTEGRATION Bus. Intelligence Master Data Management Knowledge Mgmt PROCESS INTEGRATION Integration Broker Bus. Process Mgmt APPLICATION PLATFORM J2EE DB and OS Abstraction ABAP LIFE CYCLE MANAGEMENT COMPOSITE APPLICATION FRAMEWORK PEOPLE INTEGRATION Multichannel/device access Portal Collaboration INFORMATION INTEGRATION Bus. Intelligence Master Data Management Knowl. Mgmt PROCESS INTEGRATION Integration Broker Bus. Process Mgmt APPLICATION PLATFORM J2EE DB and OS Abstraction ABAP LIFE -CYCLE MANAGEMENT ... Enterprise Portal for customer and supplier access Business Analytics with predefined content Exchange Infrastructure for hub-and-spoke integration Web Application Server for extensibility with Java applications Master Data Management for harmonized product/customer data Business Process Management to drive cross-enterprise processes Auto-ID Infrastructure integrates RFID data
  • SAP’s Blueprint for Sustainable Success
      • Business solutions for 27 industries
      • mySAP Business Suite, SAP xApps
      • SAP NetWeaver
      • Adaptive computing infrastructure
    Enterprise Services Architecture is a Web-services based architecture for adaptive business solutions
  • Vision & Mission of SAP Research
    • Vision
      • SAP Research is the world-class thought leadership partner
      • to SAP and SAP’s customers & partners
    • Mission
      • SAP Research prepares the groundwork for future growth by acting as SAP’s IT Trend scout, identifying emerging IT trends, researching and developing in strategically important SAP business areas as well as leveraging entrepreneurial inventive talent.
      • Its two key departments, each with a dedicated focus, are SAP Research Centers/Groups and SAP Inspire supported by dedicated Business Development and Operations
    • Theme
      • Systematic Thought Leadership for Innovative Business
  • SAP Research Programs & Domains
  • Smart Items Research Thomas Odenwald Research Program Manager SAP Research, RC Palo Alto
  • Overcome Media Breaks – Close the Gap Degree of automation RFID
    • Digital world („Bits“):
    • Inter- and cross-company information systems (e.g.: ERP systems)
    • Local, regional and global communication networks (e.g.: Internet)
    • Physical world („Atoms“):
    • Human beings
    • Products
    • Productions means
    State-of-the-art Next Generation Smart Items Manual data entry Voice input Barcode scanning Sensor Nets Embedded Systems Media Breaks Source: M-LAB
  • Next Generation Smart Items – Vision
    • A holistic service-oriented architecture for the seamless integration of real world data and events with enterprise software that efficiently exploits the capabilities of current, emerging and future ubiquitous computing technologies like embedded systems and wireless sensor networks , used reliably to assist enterprise-level decision making.
  • Auto-ID Infrastructure and Smart Items
    • Definition
      • Tagging with physical object
      • Local memory and computation
      • Middleware infrastructure
      • Solution
    • Opportunities
      • Seamless integration
      • Real-time information
      • Increased data accuracy
    • Key Challenges
      • Handling business logic locally
      • Data consistency and convergence
      • Management of massive devices and remote systems
    Asset Management Warehouse Management Manufacturing Passive RFID Tag Active RFID Tag Sensor
  • Future Trends Promise CoBIs  Synergies Embedded Systems Next Generation Smart Items Auto-ID Wireless Sensor Networks Communication HW Capabilities Client-Sever Peer-to-Peer Business logic Basic algorithms Business Logic & Data Acquisition Data / Information Acquisition Wireless Sensor Networks Embedded Systems Communication HW Capabilities Holistic Architecture (AP) IT-Infra-structure (AII) CoBIs PROMISE
  • EU Project: CoBIs – Collaborative Business Items
    • Vision & Objective
      • Apply wireless networked sensor systems to embed business logic in physical entities
      • Holistic service-oriented architecture covering all layers from application to hardware  Vision: “Ubiquitous ESA”
      • Paradigm switch from Client-Server to P2P based Smart Items Computing
    • Innovation
      • Business logic on-the-item
      • Extending business processes to the “Point of Action”
      • Collaboration in sensor networks / networked embedded systems
      • Innovative applications with BP and Gardeur
    Embedded Systems Collaborative Smart Items Auto-ID Wireless Sensor Networks Communication HW Capabilities Client-Sever Peer-to-Peer EU = European Union
      • BP, UK: End user
      • Infineon, AT: RFID
      • SAP, GER: Enterprise Software
      • Ambient Systems, NL: Networked Embedded Systems
      • University of Karlsruhe, GER: SmartIts sensor nodes
      • University of Lancaster, UK: Context Awareness
      • University of Twente, NL: EYES sensor nodes
    EU Project: CoBIs – Partners EU = European Union
  • EU Project: PROMISE
    • Objectives
      • Close the product lifecycle information loops from product delivery, to end-of-life, and back to design and production
      • Improve product and service quality, efficiency, and sustainablity
    PROMISE = Product Lifecycle Management and Information Tracking using Smart Embedded Systems
    • 22 partners, € 15.5 Mill, 3.5 years
      • universities, SMEs , SAP AG
      • end-users: automotive, railway, consumer products, telecommunication
    Business logic Basic algorithms EU = European Union Embedded Systems Collaborative Smart Items Auto-ID Wireless Sensor Networks Communication HW Capabilities Client-Sever Peer-to-Peer
  • Project: Smart Vending Center
    • Objectives
      • Integrate vending machines into business process
      • Provide platform for low-risk RoI analysis
      • Gain experience from real world
    • Application Areas
      • (Near) real-time and predicted inventory
      • Advanced Data Analysis
      • Remote Management
      • Remote Monitoring
      • Cash Accounting
    Photo: Harting
    • Current Partners
      • Harting Vending GmbH
      • Lantec AG
      • M-Lab
      • TecO
    • Running Prototypes
      • Cigarettes (Dietz)
      • Prepaid phone cards (Baumann)
      • Cafeteria accounting (SAP)
  • Many Processes Can Be Auto-ID Enabled SAP NetWeaver mySAP SCM mySAP PLM mySAP SRM mySAP CRM mySAP ERP Financials Human Resources Corporate Services Operations Service Parts Planning Asset Management Field Service MRO Value Added Services VMI/CPFR Warehouse Management Manufacturing
  • Auto-ID Infrastructure Architecture – High Level Device Controller mySAP ERP ONS/PML Server mySAP SCM Other Enterprise Applications SAP Web AS 6.40 Device Controller XI Sensor Network RFID Reader I I I I I I I I S Configuration & Admin Management Activity & Process Management Logging & Archiving Core Services Association Data Management AII Device Integration Human Integration Backend System Integration
  • Real-Time Information for the Real-Time Enterprise CRM PLM SRM SCM CRM PLM ERP Leg- acy Information A2A People collaboration B2B roles Devices embedded analytics alerts roles Physical World Media Breaks Smart Items Sensor Network Embedded System RFID Mobile Sensors
  • Holistic Service-Oriented Architecture Sensors, Sensor Networks & Embedded Systems “ Ubiquitous NetWeaver” Communication, Collaboration and Sensing Services “ Ubiquitous AP&A” Business Logic On-the-Item Enhanced & New Business Applications Optimized Business Solutions
  • Emerging Applications
    • Environment, Health & Safety
      • Dangerous goods
      • Workplace safety
      • Environmental monitoring
    • Defense & Security
      • Emergency response
      • Electronic seals
      • Defensive / military applications
    • Remote Control & Monitoring
      • Process, plant, transport monitoring
      • Product Lifecycle / Asset Management
      • Preventive maintenance
      • Facility management / home automation
  • Q&A Contacts john.ellenberger @sap.com
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