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Internet of Things / Industry 4.0

Internet of Things / Industry 4.0. Industry revolution and planned projects in the German Industry. Goodarz Mahbobi. Why is Germany world champion in export ? Why are other countries able to stand the pace ? With which risks is Germany confronted with ?

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Internet of Things / Industry 4.0

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  1. Internet of Things / Industry 4.0 Industry revolution and planned projects in the German Industry GoodarzMahbobi

  2. Whyis Germany worldchampion in export ? Whyareother countries ableto stand thepace? Withwhichrisksis Germany confrontedwith? Howcandangersbeminimizedbyusingnewtechnologies? World Champion in Export

  3. Complexity Smart Factory is a highlycomplexsystemwith a lotof individual participantshavingtheirownintelligence. Level ofcomplexityincreases

  4. Revolution Components BILD ANPASSEN?

  5. Data in General Data isproducedeverywhere Accordingto IBM:2.5 – 3 exabytes / day

  6. Data in General 90% ofdataproduced in thelast twoyears Amount will double everythreeyears

  7. Data in General Volume (bigamountofdata) Variety (manydataformats) Velocity (high performance) Value (valuableinformation) Veracity (qualityofdata) Volatility (storageofdata) Swimming in data

  8. Revolution Components

  9. Mobile More IP devicesthanpeople

  10. Mobile 1.5 Billion Smartphones in 2014 (Gartner) Mobile changedthewaytheworldcommunicates

  11. Howlong (in years) didittaketoget 50 Mio User? 38 years 13 years 4 years 3 years 1 year 0,75 years 0,25 years

  12. Revolution Components

  13. Cloud 67% ofadult internetusers in the U.S. use personal cloudservices The Personal Cloud will replacethePC

  14. Mobile andCloud APPs become more complex Business processes

  15. Mobile andCloud Cultural institutions Museum of Modern Arts, New York Städel Museum, Frankfurt (110.000 exhibits) Hess. Landes- und Universitätsbibliothek Conditions Rapid adaptability Flexible information retrieval Mobile operation based on cloud-infrastructure Transformation ofculturalinstitutions:Media CollaborationPlatform

  16. Mobile andCloud Car 2.0

  17. Revolution Components

  18. Collaboration Transformation ofcollaboration, useofnetworks, buying, sellingandlearningbehavior, knowledgesharing New IT-approach People ProcessesCollaboration CollaborationandSocial

  19. Revolution Components

  20. Big Data Data fication Cloudingdata Data Warehousing Trash data Whatis Big Data?

  21. Big Data Whatis Big Data? Internet Sites, Web Forums, Blogs Social Networks, eMails, Sensors From an enourmousamountofdata, only a smallfractionisextractedasvaluabledata. • Volume (bigamountofdata) • Variety (manydataformats) • Velocity (high performance) • Value (valuableinformation) • Veracity (qualityofdata) • Volatility (storageofdata)

  22. Big Data Big Data technologies For real time processingofhugeamountsofdata In-Memory databasesareused Forbatchprocessingofbigamountsofunstructureddatathehadoopecosystemisused. Big Data analysisisdonewiththe MAP/REDUCE framework Use Cases: Real Time processingofsensordataorfinancialtransactions Use Cases: Analysis ofSocial Data, eMail Data, …

  23. Big Data Big Data isthewayhowdiscoveries will happen in thefuture Google researchersfound out bychancethat certain search terms are good indicators of flu activity. Today Google Flu Trends uses aggregated Google search data to estimate flu activity in the different countries. In future from correlating huge amount of medical data new therapies could be discovered. patientrecords Computecorrelationswith Big Data analytics New therapies clinicalstudy Scientific publications

  24. Big Data Big Opportunities with Big Data Analytics

  25. Consequencesoftherevolution Agile Organizations will take the lead Shortage of 140,000 to 190,000 people with deep analytical skills in the U.S. / 1.5 million managers and analysts Consequencesoftherevolution

  26. Consequencesoftherevolution Traditional Organizations » Inflexible IT-Systemsbasedon applicationsilos » Business and administrative processeswithmediadisruptions » HierarchyInternal andexternalcommunication » Limited information Digital Organizations » ScalableIT-Systemsbasedon cloud, mobile, bigdataandcollaboration» End-to-End processesbasedon collaborationand real-time KPIs » Socialinteractionwithemployees, customersandpartner » 360° information The futureoforganizations

  27. Mobility Big data New organizationalstructures Future ofcompanies after therevolution

  28. Definition ofindustry 4.0 Industry 4.0 is a project in the high-tech strategy of the German government, which promotes the computerization of traditional industries such as manufacturing.[1] The goal is the intelligent factory (Smart Factory), which is characterized by adaptability, resource efficiency and ergonomics as well as the integration of customers and business partners in business and value processes. Technological basis are cyber-physical systems and the Internet of Things. The producttobecreateddefinestheprocess

  29. The virtualproductionhelpstoreducewastefarbeyondexistingapproachesbyshowing real-time imagesoftheproduction

  30. Every step towards IT is a step in the right direction No serial SST, but TCP/IP Connecting machines, and taking the opportunitiesoffered! Be brave, do not be careless! All accompanied by Dypa! Question manual workarounds aggressively and automatize, IT stocks have to be right Draw up 2 pages for funding proposal of IHK / IT4Work Next steps

  31. The smart factorycontrollsinterferencesandbreaks down existingborders. Travel, layouts, sequences, operating- andrecyclingpoints, productsandtechnologiesaremade flexible. Therebyitshowsitsfull potential bythesatisfactionofrequirementsthathavebeenconisderedasinconsistenuntilnow. In smart factory, socialmachinessharetheirknowledge: Theyrecognizethebestparameterthroughlearningexperience, withwhichtheyareabletoprocessmaterials, perceiveandinformits „socialnetwork“ andothernetworkedmachines, whichapplythenewsettingautomatically.. In smart factory, socialmachinessharetheirknowledge

  32. The coming multiadaptive smart factory will in nocasebedeserted, but will requireemployeeswhichactasdecisionmakersand in theoptimizationofprocesses. The employees will take on responsibilityforimportantfunctions in the design, installation, backfitting, serviceandtherepairofcomplex cyber-physicproductionssystemsandthenecessarynewnetworkelementsforthe Internet ofthings. Besidesemployees, otherstakeholders (suppliers, customers) are also integrated in theinteractionofthefactory. The intensive useof IT in productionrequiresmore IT-competences in thecompany.

  33. Thankyouforyourattention

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