Digital Disruption in Steel Manish Chawla, GM, Global Industrial manishchawla1

Transcription

1 1 Digital Disruption in Steel Manish Chawla, GM, Global Industrial IBM manishchawla1

2 Topics Introduction Cognitive Value Chain Our approach to Industry 4.0 Ecosystems The Path to Value Concluding Thoughts 2

3 3 Three shifts are transforming our industry

4 The manufacturing industry will see the highest impact from these shifts 4 Hence, we believe that digital is not the destination. It is the foundation Cognitive becomes the real game changer.

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6 Topics Introduction Cognitive Value Chain Our approach to Industry 4.0 Ecosystems The Path to Value Concluding Thoughts 6

7 Technology is not the problem What to do with is it is the question Material Genealogy Supply Chain Optimization Asset Assurance Security Edge Computing Big Data Data Lakes elearning Complex Event Processing AI-Based Assistant Process Safety Material Integrity Semantic Knowledge Management Materials R&D Storage (e.g. Data Lakes) Failure Analysis Predictive Analysis Automated Tests Production Validation & Reporting Corrosion Prediction Wearables Drones Training Simulation Digital Twins Industry 4.0 Geo fencing Semantic Technologies Interoperability CONNECTED INTEGRATED INTELIGENT Preventative Maintenance Strategic Procurement Federated Asset Models Telecommunications Infrastructure Mobile Equipment Monitoring & Health Deep Learning Collaborative Work Environments AR/VR Automated Inspections Cyber Security Equipment Effectiveness Integrated Planning Energy Analytics Real-time Visualization Model Predictive Control Robotics & Automation Sensors Mobile Computing Water Disposal Shop Floor Control Prescriptive Analytics Descriptive Analysis Production Scheduling Advanced Process Control Supply & Demand Planning IT/OT Integration Material Balancing Machine Learning Integrated Asset Operational Optimization Blockchain MTTR Autonomous Mobile Equipment Context Based Visualisation Physics-based Models Water Management Cognitive & analytics Mobile Social Security Internet of Things Cloud IBM Corporation

8 Embracing IoT for Operations through logical steps of value Gather the data Instrument your equipment/assets to collect data Gather already existing data Visualise the patterns Visualise your data in meaningful dashboards Start to see patterns Build with Bluemix Advance to analytics Gain insights from the data Produce models, prediction recommendations Infuse with cognitive Refine models with cognitive machine learning Utilise other cognitive functions to improve engagement Asset needs to be connected, outfitted with sensor or data gathered Use the platform to quickly build dashboards for data visualisation Use analytical models to predict equipment failures and provide recommendations Use speech, video, image to diagnose complex problems 8

9 IBM Vision & Strategy to realize full potential of IoT and Industry 4.0 On- Premise, Owned Provide insights Open Loop Human Required for Action Cloud-based, as a Service Pre-Defined / Automated Processes Closed Loop Human Supervision Cyber Model -1 Cyber Model -2 Cyber Model-n Cloud-based, as a Service Dynamic / Self Configured Processes Closed Loop Cognitive Value Chain / Human Collaboration Cyber Model -1 Cyber Model -2 Watson Cyber Model-n Specialized Model 1 Specialized Model n 9

10 Example: End-to-End Asset Management & Optimization in a Cognitive Value Chain AS-IS Planned maintenance or unplanned breakdown Work orders entered and prioritized in maintenance system Repair technician get worker order Repair technician does diagnostic and checks spare parts availability Repair is completed and maintenance system updated Spare parts replenished order is issued TO-BE Predict anomaly & diagnose problem Open work order considering severity Schedule maintenance to minimize production disruption Technician assisted in repair procedure, virtual shields protected Spare parts replenishment automated Cyber Equipment Advisor Maintenance Scheduling Technician Advisor Spare Parts Optimization Physical 10

11 IBM Approach to 4 th Industrial Revolution Leverages on existing infrastructure - physical equipments, systems and applications 11

12 Topics Introduction Cognitive Value Chain Our approach to Industry 4.0 Ecosystems The Path to Value Concluding Thoughts 12

13 Manufacturing & Resources Ecosystem An Example Maker of Things Engineering, OEMs, Process Technology Operator of Things Resources & Manufacturing IT/OT Service Providers IT / Network / Data Integrators and Industrial Automation LLUSTRATIVE ONLY 13

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15 Topics Introduction Cognitive Value Chain Our approach to Industry 4.0 Ecosystems The Path to Value Concluding Thoughts 15

16 The 7 Habits of Highly Digitally Effective Companies Cognitive & Analytics Cloud Mobile New Focus Experience Internet of Things New Ways Social Security 16

17 Digital Reinvention TM : Self Funding Roadmap New Experiences Existing Product New New Channels New Reinvention Customer Grow Existing Optimize New Technologies New Business Models 15

18 18 Digital Disruption in Steel Manish Chawla, GM, Global Industrial IBM manishchawla1