From Things to Value

Transcription

1 From Things to Value How companies can benefit from Industry 4.0 April, 2017 Mario Schmuziger Swisscom Enterprise Customers - Industrial Internet of Things / Industry 4.0

2 Digitisation is nothing new 2 Networking & Mobility IoT & Virtualisation Artificial Intelligence? Devices such as smartphones, tablets and mobile Internet. Mobile networking is becoming omnipresent. Physical things are merging with the cloud. Smart data, virtual realities and virtualised systems and networks. Machines learn and make autonomous decisions. Intelligent analysis of enormous quantities of data. Robotics. Blockchain. It is not yet possible to predict what the future will bring. One thing is clear: The next wave is on its way today

3 3 Value Drivers in the 4th Industrial Revolution 3 Business model & product innovation Improved customer experiences Business processes efficiency

4 The Internet of Things is about Value, not Things 4 Act Implement procedures for business processes, machines or humans to act in accordance to the decisions made A 3 Acquire Permanent acquisition and transmission of sensor data to a cloud instance Analyse Identify patterns within a bigger data quantity and build predictions based on mathematical models to automate decision making

5 Smart Enterprise 5 Smart Product Acquire Smart Data Analysis Smart Process Act Smart Product IoT Device Management Analytics & Machine Learning Enterprise Transport Smart Processes

6 Swisscom Industrial IoT Suite End-to-End 6 Value Added Service Project Consulting and Backend Integration Management Consulting Business Process Solutions UX Development Co-Creation ERP, CRM, PLM integration Application Cloud Analytics & Smart Data Extend Analytics & Machine Learning Individual Dashboards Real time analytics Interactive and Batch analytics Data Extract, Transform, Load Predictive modelling & analytics Machine Learning Data Management Manage Thing Integration Device & user authentication Application integration (API) Device Management IoT Device Management Device Configuration, Lifecycle Data storage Remote management Connectivity Devices/Gateways Sensors & Actuators Connect Worldwide Connectivity Project Device Integration Mobile Connectivity (2G,3G,4G) Worldwide Connection for mobile devices Gateway Portfolio Integration of existing industrial Assets (PLC, Protocol, ) Wireline Connectivity Reliable, high throughput for stationary devices Special Purpose Devices Sensors for specific purposes (e.g. Container, Environment, ) LPN Connectivity Nationwide Rollout of public Network announced Device Integration Engineering Embedded solution based in microcontroller architecture

7 Winning the battle with Industry 4.0 & IoT 7 Step by step modernization of your company by using new technological means in two areas of impact Smart Manufacturing Smart Product Process features of Industry 4.0 Planning on top of real time Information Machines with higher availability Make to order with batch size 1 Machine and order status in real time Service technicians make use of new human machine interfaces (AR) Technical features of Industrial IoT Integration of sensors & actuators Continuous data communication (M2M) Data capturing, translation, Monitor machines in real time Optimizing the human machine interface (HMI)

8 Swisscom Industrial IoT Suite End-to-End Architecture 8 Acquire generation, transmission, connection, management Analyse connection, analytics, preparation Act visualization, integration, action Machines With PLC Sensors / Actors Sensor unspecific Sensor values Gateway HW: SmartStart Asset Gateway Alarm Data at Rest Security Worldwide Mobile Connectivity Swisscom CMP Status / Monitoring Data plan (Usage) IoT Cloud VPN Access Device Management Swisscom IoT Cloud Status / Usage / Lifecycle Alarm, Business Rules VPN Access Remote Access to gateway and connected machines Data Transport Data target Analytics Open Data Temperature, Humidity Analytics / Prediction Knime / SAP PA Analytics tools to work with data Predictions on: Wear, break down, usage, consumable Event Data SQL or Non SQL DB Storage of hot / warm data for immediate usage ERP / BW/ PLM data Master data from different business systems Data Lake Hadoop Storage of cold data to keep history and to conduct batch analytics Visualization User Web App / Mobile App Status, failures, usage => OEE Order details incl. manufacturing documentation Machine logbook, maintenance schedule Manuals (handling, maintenance, repair) Visualization management Web App / Mobile App Status and usage of machine park and status of order fulfilment Context based overview to avoid production brake downs Status on quality Mobilizing business processes Movilizer Order fulfilment Oder tracking Maintenance Integration business processes SAP, Microsoft, Oracle Order confirmation Performance indicators Collaborative processes with supplier

9 Use Cases

10 Walter Meier (Klima) Schweiz AG

11 Convenient & Reliable Heating Systems Data acquisition to the IoT Cloud via Gateway IoT Cloud Specific analytic functions in the Analytics Cloud Remote monitoring and access from Walter Meier HQ Secure and redundant internet connection between heat pump at customer site and Walter Meier

12 12 Stromer

13 Smarter & Safer E-Bike Big Data ensures new customer benefits Pay-per-use model The connected e-bike Mobility ecosystem

14 14 dorma+kaba Gruppe Innovation braucht ein inspirierendes Umfeld

15 Digitalized Access Management

16 Other Use Cases in Proof of Concept Phase 16 > Sheet processing machine builder to connect >500 high demanding assets worldwide > Large town in Switzerland to connect different industrial assets (Heat meters, salt silos, water flow sensors) over on single platform to scale horizontally > Monitoring of cement silos for Lafarge-Holcim > Connecting of industrial sensors used in manufacturing > Different use cases in the constructing business (From asset tracking to monitoring and surveillance) > In-Factory solutions for a large food & beverage manufacturer (Different cases) Common Benefits > Easy to use platform with simple on boarding of different assets (from micro controler to industrial factories) > Data storage in a highly protected Swiss cloud environment > Rich feature set usable without any programing skills > Most open platform to connect by means of API and to send data to other data stores and cloud services > POC and project support from Swisscom

17 Smart Assistance

18 Field service: actual challenges Diversity and complexity of solutions is rising Horizontal diversification of skills On boarding and Learning Cost pressure

19 Swisscom Smart Assistance Business Process Management CMS, ERP & CRM Business Intelligence Artificial Intelligence IOT Augmented Reality

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22 Dealing with innovation

23 An Innovation Process is not linear 23 IoT Strategy Research Ideas Prototypes Value & Benefits Transformation The innovation processes are not linear. It needs complementary knowledge from commercial, technology, organizational, processes and innovation side

24 Smart Enterprise Roadmap Co-Creation approach to support enterprises on their journey 24 Phases Inspiration I4.0 Assessment Prototyping Strategy Build Solution Run Solution Ideation Current State Building & Testing Transformation plan Industrialization, Scale up Operation Objective Inspire participants with Use Cases Generate as many ideas as possible Evaluate benefit of ideas Identify 3-5 ideas with high benefit Develop high level roadmap Understand current situation in terms of «maturity» and knowledge Select target product / machine Understand the needs of target groups (Customer Engineering & Service) Build Prototype / POC from E2E Present first results to Target Group (Engineering & Service) Receive feedback regarding plausibility Adjust prototype based on feedback Present final version of prototype to customer Define Industry 4.0 Vision for customer Define to be Situation in Engineering & Service Define scope and areas of action Define Transformation Roadmap Develop Business Model & Case Define Governance Pilot installations and smaller industrial roll-out Organisational changes (Skills, structure, tools) Sell solution to customer Get more feedback and change if necessary Integrate in manufacturing or installation procedures Full roll-out of solution on actual things and retrofit Operate installed thing base and IT systems (Analytics, Applications) Move, add, change according to needs Assure defined Service Levels towards customer Continuous development & Continuous integration Approach Result Effort 1-Day Design Thinking / Co- Creation Workshop Customer identified potential new Use Cases ½-Day Workshop with Customer 5x Interviews & Observations Challenge is defined and approach is agreed upon Understand customer needs as basis for prototyping Prototype Workshop (2*), Testing with 3-5 experts (2 Iterations) First prototype delivered Commitment form customer regarding prototyping 2-3 workshops on each level Strategy & Roadmap defined and agreed Use Cases and their Business requirements are defined 2-6 month project work in different streams to deliver results Solutions are operational at customer site and within the company Org. structures are set-up and processes defined 3-5 Days 4-6 Days 5 Days 5-20 Days Days Value Proposition & Commercial Offering 2-3 year operations contract Delivering top / bottom line results to business Refining solution day by day Technical IoT Architecture IoT Governance (Security, Legal) Organisational Transformation

25 Today: Re-Active & Slow 25

26 26 Tomorrow: Pro-Active & Fast

27 Your Contact 27 Mario Schmuziger Business Development Industrial Internet of Things