driving the digital enterprise - mcmaster faculty of …...tailor the interface to show different...
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Driving the Digital EnterpriseShalabh Bakshi | Director, Digital Enterprise Siemens Digital IndustriesHamilton, Ontario | May 2, 2019
siemens.com© Siemens 2019
1847A small garage startup in Berlin, Germany
Employees
10Start-up capital
6.842thalers
1st year revenue
3,420thalers
Employees
377,000+
TodayLeading position in Electrification, Automation and Digitalization.
Revenue
€82.9 billion
Net Income1
€6.1 billionProfit margin Ind. Business
11.2%Key figures as of Oct 2017 1 Strategic Unit
Restricted © Siemens AG 20XXXX.XX.20XXPage 4 Author / Department
Customer demands drive our business
Flexibility EfficiencySpeed QualitySecurity
New business models
© Siemens AG 2017April 2017Page 5 siemens.com
Technological forces transforming industry
Changing the way products are realized
Advancedrobotics
Additivemanufacturing
Intelligent automation
Changing the way products come to life
System of systems
Intelligentmodels
Generativedesign
Changing the way products evolve
Knowledgeautomation
Big dataanalytics
Cloudecosystems
© Siemens AG 2017April 2017Page 6 siemens.com
Technological forces transforming industry
Advancedrobotics
Additivemanufacturing
Intelligent automation
System ofsystems
Intelligentmodels
Generative design
Knowledgeautomation
Big dataanalytics
Cloudecosystems
Ideation UtilizationRealization
Manufacturers must embrace the technologiesand transform their business into a digital enterprise
© Siemens AG 2017April 2017Page 7 siemens.com
What is needed?Is an integrated approach across the complete value chain
Ideation UtilizationRealizationServicesProduction
executionProductionengineering
Productionplanning
Productdesign
© Siemens AG 2017April 2017Page 8 siemens.com
What is needed?Is an integrated approach across the complete value chain
Ideation UtilizationRealizationServicesProduction
executionProductionengineering
Productionplanning
Productdesign
Restricted © Siemens AG 2019March 2019Page 9 Jan Mrosik | COO Digital Industries
Digitalization is key to achieving next level productivity
2007
Selection of acquisitions
Automation #1
Industrialsoftware #1
Real worldAutomation
Virtual worldSoftware
> 10 billion investment1
2019
12,700 Software engineers are shaping the digital transformation
1 Cooperation
Restricted © Siemens AG 2019March 2019Page 10 Jan Mrosik | COO Digital Industries
Expertise of integrating virtual and real worlds provides unique competitive advantage to customers
p
Realworld
Virtualworld
Realize and optimize
Performance data
Restricted © Siemens AG 2019March 2019Page 11 Jan Mrosik | COO Digital Industries
Virtualproduct
Virtualproduction
Digital TwinProduct
Realproduct
Real productionAutomation
Digital TwinProduction
Digital TwinPerformance
The Digital Enterprise for discrete industries
Restricted © Siemens AG 2019March 2019Page 12 Jan Mrosik | COO Digital Industries
The Digital Enterprise for discrete industries
Cyber Security
Cyber Security
Digital TwinProduct
Digital TwinProduction
Digital TwinPerformance
Virtualproduct
Virtualproduction
Realproduct
Real productionAutomation
Continuous improvement
Insights from performance with MindSphere
Collaboration platform Teamcenter
Ideal delivery
Restricted © Siemens AG 2019March 2019Page 13 Jan Mrosik | COO Digital Industries
The Digital Enterprise for process industries
Cyber Security
Cyber Security
Digital TwinProduct
Digital TwinProduction
Digital TwinPerformance
Virtualproduct
Virtualproduction
Realproduct
Real productionAutomation
Collaboration platform Teamcenter
Ideal delivery
Performance data
Optimization
End-to-end solutions for all industries
Process Industries Discrete Industries
Chemicals Food and Beverage
Electronics Aerospace Automotive
Water and Wastewater
Batteries Wind MachineBuilding
Intralogistics
Oil and Gas Tire Additive Manufacturing
Cranes Robotics
Hybrid Industries
FiberPower and Utilities
Glass
Minerals
Marine
Pharmaceuticals
Where does AI
fit into this?
Adaptive User Interface
Collect data while the user interacts with the system and use this data as a steady source of training data • Tailor the interface to show different levels
of complexity for different levels of user as determined by the learning process
• Provide best choice or set of choices, as based upon what the user has done in the past and from the knowledge in the knowledge base
• Serve up one or more choices in correct order that will be more suited for the current task as determined by their success in the past
AI / Machine Learning for NX
Flexible grasping using Artificial Intelligence
Artificial Intelligence module for Simatic S7-1500
Highlights• Neural Compute Engine with
on-device deep neural networks
• Powerful vision / imaging processing onboard
Potential use-cases• Robotics learning
• Visual quality inspection
• Anomaly detection / Condition monitoring
• Additive manufacturing
Benefits• Use AI to optimize the
PLC process
• No separate IPC needed
• Direct communication to PLC reduces engineering effort
The Digital Enterprise powered by AI
Cyber Security
Cyber Security
Digital TwinProduct
Digital TwinProduction
Digital TwinPerformance
Virtualproduct
Virtualproduction
Realproduct
Real productionAutomation
Continuous improvement
Insights from performance with MindSphere
Collaboration platform Teamcenter
Ideal delivery
AI
Siemens Digital Enterprise
Get ready to be disrupted Listen to your customer needs Understand the technologies Implementation roadmap needs to be end to end integrated….
siemens.com© Siemens AG 2019