Transcription of Cisco Digital Manufacturing vision - Big Data Value Forum
1 Cisco Digital Manufacturing vision Cyril VAILLER Technical Solution Architect Cisco To get ahead in the era of Digital disruption, manufacturers need to Improve business operations Maximize uptime and quality Visibility across operations Actionable insights from plant floor data Innovate Faster time to market Enhanced innovation Supply chain visibility Reduce risk Expanded attack surface Pre/post incident management Partner compliance Unleashing Dramatic Business Outcomes Lower Downtime Reduce Defects Reduce Energy Faster NPI Maximize OEE Lower Inventory Reduce Risk Automation Network Analytics and Big Data Wireless with LBS Wireless Connected Machine Automation Network Energywise Automation Network Plant Floor Virtualization Wireless Collaboration Security Reduced labeling error rate by 16% Achieving 20% energy reduction with real time visibility. Shaved 10-20% off NPI cycle time Increased OEE mid 70s to high 80s Reduced breaker component tire loss by 20%.
2 Multi-National Brewery Experienced $40 million downtime reduction Make Money Save Money Stay out of Trouble Significantly reduced factory vulnerabilities. Layered architectural approach Distributed intelligence Challenges facing the Digitization Security Interoperability Data Deluge Bridging IT and OT Workforce Alignment Standards and APIs Defense in-depth Enterprise-grade security across entire business Smart solutions Carpet-to-concrete approach Training Public policy Invisible Things and Devices Siloed OT and IT Unsecured Access INDUSTRIAL DATA CENTER IT THINGS AND DEVICES ERP/MRP LOB EDGE OPEN ANALYTICS USERS CLOUD SUPPLY CHAIN But to get there, customers need to move from the old factory model Siloed, Slow, Unsecure, Expensive, and Complex From the Factory Network What Is It Unified Converged Factory Network Challenge Complex network silos creating downtime, data isolation and vulnerabilities. Inflexible and high TCO.
3 Network issues took us hours and sometimes days to troubleshoot. The downtime associated with these issues was extremely costly. - Dave Gutshall Harley Davidson Converged Network for Flexible Automation Rapid Fault Isolation Resiliency (MRP, HSR, PRP, REP, DLR) TSN / Deterministic Ethernet App/Data Integration Reduced Downtime OEE Improvement Critical Needs Business Outcomes To the Big Data & Analytics Harness the power of big data analytics to quickly solve assembly machines production and quality issues Ability to capture production data in real time to see opportunities to cycle down machines or adjust supply chain. Velocity, volume and variety of data hinders proactive business decisions Limited access to data Factory floor machine downtimes What Is It Challenge Critical Needs Business Outcomes OEE Improvement Reduced Downtime Build the Digital Manufacturing Architecture The Power of Data Intelligence at Edge: Harmonize, Filter, Visualize, Act on data End-to-End Security Visualize & collaborate Unify IoT and OT Data Fabric: Multi-hop Data Everywhere Connected Things and Devices Compute Data Move Data Extract & Transport Data Extract data from its sources and makes it usable, and Transport it wired or wireless Move data programmatically to the right applications at the right time.
4 Compute data to transform it, apply rules, and perform distributed micro-processing from edge to endpoint To achieve that, we need a set of functions for IoT data Connected Machines and Edge Compute Embedded Switching, Security and Compute to Enable Connectivity and Edge Data Capture and Analytics Lack of visibility to machine data (temp, torque, hours, etc) to monitor and predict machine-related downtime. We have cases where downtime is costing over $20,000 per minute. The ability to predict service requirements will have a tremendous impact. - Rick Schneider - NA CEO FANUC Robotics Machine Monitoring, OEE MTConnect, OPC UA integration Scalable data acquisition Enterprise security compliance and policy Open Machine Architecture Time-sensitive deterministic communications What Is It Challenge Critical Needs Business Outcomes OEE Improvement Reduced Downtime Connected Machine example with Mazak Data Delivers Insight; Business Value Cisco IoT and Connected Machines Increased Machine Productivity Increased Machine Utilization 17% 6% Immediately Transform Securely ConnectDeliver Insight IOx Linux Application Framework IOS Application-ready Infrastructure Enabled By IOx Connected Streaming Analytics Fog Application IOx Services to Connect to Sensors and Cloud Real-time and historical visibility Helps IT scale to manage explosion in data More accurate job costing Planned vs.
5 Actual load Elimination of paper, and labor associated with manual data collection. Capabilities Solution Benefits Data Extraction from Machine using MTConnect, OPC-UA Machine Security, NC Program Security Data Distribution via ODBC, JDBC, AMQP, MQTT Secure File Transfer for NC programs Support for 3rd party dashboards for real time and historical visualization Connected Machine Cisco Kinetic Fanuc Mazak Makino Cisco Kinetic Edge and Fog Processing Secure Data Delivery BI Reporting Data Capture & Normalization OEE Analytics MES DNC Local Applications OEM1 Cloud ERP Analytics Custom Apps OEM2 Cloud Cisco Kinetic Cloud Factory PAST: Single Energy Measurement per facility Customer Situation Lack of granular visibility of energy consumption (areas, lines, load type, equipment) Lack of optimization plan to reduce energy cost Recent environmental regulations require proof of compliance Customer Goals Report energy usage (& cost, margin) by product Implement energy reduction policies, avoid peak power pricing Insight for better efficiency (equipment & process) Lower carbon foot print, meet CSR goals A Customer Example Initial Business Outcomes Over 18% savings in energy consumption $1M+ savings per factory per year Energy Monitoring Monitor by Factory Areas Monitor by Product Lines Monitor by Load Types Factory Plant---Floor 1 Energy consumption view with granularity to drive optimization PAST: Single Energy Measurement per facility Real-time visibility Policy automation to improve energy optimization.
6 Identify leaks, inefficient machines, peak loads Easy-to-use, accurate cost reporting for compliance Simplified deployment Capabilities Solution Benefits Real-time monitoring of energy consumption Consumption data by machine, line, area and building Automated policy to notify factory staff potential about peak power or issues before they occur Energy Monitoring Cisco Kinetic Equipment Power Meters Nitrogen Flow Meters Compressed Air Flow Meters Thermal Sensors Cisco Kinetic Edge and Fog Processing Secure Data Delivery Manufacturing workflow apps API Data Capture & Normalization Track & Tra c e Real-time monitoring of location (sensor signal strength and triangulation of x-y coordinates) Policy automation to notify when asset crosses designated boundaries Simplified cloud deployment and sensor deployment Capabilities Solution Benefits Integration with MES systems for process automation and record keeping Map visualization, event configuration, and business rules Wi-Fi, LoRA & Bluetooth Low Energy (BLE) sensors for assets, personnel, and condition (motion, temperature, humidity, etc.)
7 Cisco Wireless Infrastructure (APs, WLC, CMX, Prime) Location Sensors Choke Point Infrastructure Cisco Kinetic Motion Sensors Temperature Sensors DSLink Vibration Monitoring Vibration Monitoring DSLink Energy Monitoring Energy Monitoring DSLink DSLink DSLink DSLink Energy Reduction Energy Reduction Equipment Health DSLink FANUC ZDT DSLink Connected Vehicle Supply Chain Analytics DSLink DSLink Wireless Location MRP DSLink Asset Tracking ZDT DSLink DSLink DSLink PLCs MES DSLink DSLink Manufacturing Visibility Plant Efficiency Predictive Maintenance OEM Analytics DSLink IE 4K w/ IOx PLCs PLCs DSLink Alarms & Alerts DSLink Application platform DSLink MAZAK/ MAKINO Relying on an Industrial Network Security Framework MCC Enterprise Zone: Levels 4-5 Soft Starter I/O Physical or Virtualized Servers Patch Management AV Server Application Mirror Remote Desktop Gateway Server Level 0 - Process Level 1 - Controller Level 3 Site Operations Controller Drive Level 2 Area Supervisory Control FactoryTalk Client Controller Industrial Demilitarized Zone (IDMZ) Industrial Zone.
8 Levels 0-3 Authentication, Authorization and Accounting (AAA) LWAP SSID GHz SSID 5 GHz WGB I/O Active Wireless LAN Controller (WLC) Standby Core Switches Distribution Switch Stack Control System Engineers Control System Engineers in Collaboration with IT Network Engineers (Industrial IT) IT Security Architects in Collaboration with Control Systems Engineers Enterprise Identity Services External DMZ/ Firewall Internet IFWAnd a Cisco IoT Connectivity Portfolio Embedded Networks ESS, 5900 ESR 5921 SW ESR Mobile Routing 819H, IR 809/829 Industrial Security ISA 3000 Industrial Wireless AP1552, IW3702 Industrial Switching IE 1K,2K,3K,4K,5K, CGS Network Management FND, IND, IOT-DM, IOK Low Power Wide Area Wireless lorawan Solution Smart Grid IR 910, ASR 902/903, CGR 1000, CGR 2000 Fog Computing IOX/Fog Director Key Ta ke a ways Architecture approach Own the data Integrated and open solutions Industry Reference Designs ( CVD) Green & Brown field Security is mandatory Strong ecosystem and partnerships Innovation and involvment in alliances & standardisation THANK YOU