Industry 4.0

Industry 4.0

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  MANAGEMENT INFORMATION SYSTEMS Industry 4.0Angshuman Pal B19124
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  Contents INDUSTRY 4.0 ATimeline ofIndustrial Revolutions The Genesis of4.0 Components of Industry 4.0 Why 4.0? Use Cases Smart Logistics and Warehousing Quality Management The Future Ahead: 5.0?
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  ATimeline of Industrial Revolutions IN D U S T RY 1.0 Y1765 Steam engine: Efficient generation of energy Emergence of industrial mechanisation Period of proto- industrialisation High economic growth I N D U S T RY 2 .0 Y1870 Electricity: Channelizing and transporting power Communication methods revolutionized Centralizing of capital via large factories Taylor and Ford's models I N D U S T RY 4.0 N O W Internet: Creating integration and cohesion Digitalization enabling creation of a virtualworld Connecting humans and objects for common goal Reduced human activity I N D U S T RY 3.0 Y1969 Automation: Establishing control over processes Conceptualization of automation and robotics Establishing control via electronics, computers Miniaturizing technology
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  THE GENESIS OF 4.0 THEDEUTSCH DOCUMENT The German government came up with a document introducing "Industrie 4.0" "...way to deal quickly with the fusion of the online world and the world of industrial production." - German Chancellor Angela Merkel World Economic Forum Davos 2013 "Define, design, analyse, identify" - purpose of the document Investment worth €200 by the German government CONCEPTUALIZING 4.0 Industry 3.0 achieved automation of manufacturing technologies Needs for customization and flexibility in mass production propelled the need for 4.0 Advancements in ICT enhanced man-machine interactions: Self-optimization Self-cognition Self-customization
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  COMPONENTS OF INDUSTRY4.0 SMART FACTORIES Calm systems: Deals with physical world and virtual world Human intensive manufacturing units to benefit from "Dark Factories" - Lights Out Manufacturing "Act only when absolutely CYBER PHYSICAL SYSTEMS Integrates computation and physical processes Three phases ofCPS Identification (RFID) Integration (DCS) Development (ML) INTERNET OF THINGS (IOT) Enabling direct communication: Machine-to-machine & machine-to-human Choice between human intervention Cooperation includes resolution of conflict of machine goals INTERNET OF SERVICES (IOS) Simplificatying human coordination by establishing networks between service enabled devices Greater the number of connected devices, lesser the importance of the individual node
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  WHY 4.0? E DU CA TI O N A N D R E S E A R C H OPTIMIZED P R O D U C TI O N Research shows that excess revenue generated by optimized productionusing 4.0 systems contributes significantlyto the company top-line. “Digitized products and services generate approximately €110 billion of additional revenues per yearfor the European industry.” Development of Industry 4.0technologies will push frontiers of research in tech, data security, etc thereby increasing employment and training. An emerging skilled labour force will find new employment opportunities in thisdomain. C U S TO M E R F O C U S The gap between the manufacturer and the consumer is greatly reduced by the degree of flexibility and customization offered by Industry 4.0techniques. Communication channels are becoming more transparent and efficient with the use of 4.0elements.
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  USE CASE: SMART WAREHOUSINGAND LOGISTICS Jefe the robot is a new employee at FedEx warehouses in the US. T h e logistics and transportation giant is using disruptive 4.0 elements to simplify the process of moving their considnments, acting as a "tugger" to transport the freight all the while navigating and finding its way through the warehouse premises. T h e robot is integrating advancements in sensor and robotic technology with computing and automation, thereby doing the work of humans m o r e effectively, efficiently, and hopefully with lesser chances of accidents or errors. "It is important to further analyze the 4.0 approach in order to be a ble to d ra w conclusions on the d emogra phics of la bor in the future. T his w ill help w orkers of tod a y prepa re for a not so fa r future."
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  USE CASE: QUALITY MANAGEMENT "Theability to acquire future skills and evolve the current L&D talent pool ca n mea n the d ifference betw een a successful d igita l tra nsforma tion a nd one tha t ma y not a d equa tely a d a pt to cha nging competitive d ema nd s." Tracking and maintaining quality of a manufacturing process throughout the process chain can be effectively managed by implementing advanced systems in place. Particularly in domains such as food processing and healthcare manufacturing, integrated systems which facilitate quality management are reducing requirement for o n- the-job skill building of human employees. Any rigorous or repetitive job can be automated and m o r e importantly modified as and when required by changing production requirements.
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  Human Intelligence + Cognitive Computing More and more increasedvalue associated with human jobs The Future Ahead: 5.0? AI - enabled Personalization for paradigm shifting human experiences
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  “YOU CANNOT WAITUNTILA HOUSE BURNS DOWNTOBUY FIRE INSURANCE ON IT. WE CANNOT WAIT UNTIL THERE ARE MASSIVE DISLOCATIONS IN OUR SOCIETY TO PREPARE FOR THE FOURTH INDUSTRIAL REVOLUTION.” - PROF. ROBERT J. SHILLER, YALE UNIVERSITY