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  • Industry 4.0 is a project in the high-tech strategy of the German government, which promotes

  • the computerization of the manufacturing industry. The goal is the intelligent 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.

  • Experts believe that Industry 4.0 or the fourth industrial revolution could be a reality in

  • about 10 to 20 years. Meanwhile, in the United States, an initiative

  • known as the Smart Manufacturing Leadership Coalition is also working on the future of

  • manufacturing. Smart Manufacturing Leadership Coalition is a non-profit organization of

  • manufacturing practitioners, suppliers, and technology companies; manufacturing consortia;

  • universities; government agencies and laboratories. The aim of this coalition is to enable stakeholders

  • in the manufacturing industry to form collaborative R & D, implementation and advocacy groups

  • for development of the approaches, standards, platforms and shared infrastructure that facilitate

  • the broad adoption of manufacturing intelligence. Similarly, GE has been working on an initiative

  • called 'The Industrial Internet'. The Industrial Internet aims to bring together the advances

  • of two transformative revolutions: the myriad machines, facilities, fleets and networks

  • that arose from the Industrial Revolution, and the more recent powerful advances in computing,

  • information and communication systems brought to the fore by the Internet Revolution. According

  • to GE, together these developments bring together three elements, which embody the essence of

  • the Industrial Internet: INTELLIGENT MACHINES, ADVANCED ANALYTICS and PEOPLE AT WORK.

  • Description The term "industrie 4.0" refers to the fourth

  • industrial revolution. The first industrial revolution was the mechanization of production

  • using water and steam power, it was followed by the second industrial revolution which

  • introduced mass production with the help of electric power, followed by the digital revolution,

  • the use of electronics and IT to further automate production.

  • The term was first used in 2011 at the Hanover Fair. In October 2012 the Working Group on

  • Industry 4.0 chaired by Siegfried Dais and Kagermann presented a set of Industry 4.0

  • implementation recommendations to the German federal government. On 8 April 2013 at the

  • Hanover Fair the final report of the Working Group Industry 4.0 was presented.

  • Meaning Characteristic for industrial production in

  • an Industry 4.0 environment are the strong customization of products under the conditions

  • of high flexibilized production. The required automation technology is improved by the introduction

  • of methods of self-optimization, self-configuration, Self-diagnosis, cognition and intelligent

  • support of workers in their increasingly complex work. The largest project in Industry 4.0

  • at the present time is the BMBF leading-edge cluster "Intelligent Technical Systems OstWestfalenLippe".

  • Another major project is the BMBF project RES-COM, as well as the Cluster of Excellence

  • "Integrative Production Technology for High-Wage Countries".

  • Industry 4.0 - what it means for the future industry

  • Recently, McKinsey released an interview featuring an expert discussion between executives at

  • Robert Bosch - Siegfried Dais and Heinz Derenbach, and McKinsey experts. This interview addressed

  • the prevalence of the Internet of Things in manufacturing and the consequent technology-driven

  • changes that promise to trigger a new industrial revolution. At Bosch, and generally in Germany,

  • this phenomenon is referred to as Industry 4.0. The basic principle of Industry 4.0 is

  • that by connecting machines, work pieces and systems, we are creating intelligent networks

  • along the entire value chain that can control each other autonomously.

  • Some examples for Industry 4.0 are machines that predict failures and trigger maintenance

  • processes autonomously or self-organized logistics that react to unexpected changes in the production.

  • So, what effects does this change have on the classic manufacturing value chain? According

  • to Siegfried Dais, “it is highly likely that the world of production will become more

  • and more networked until everything is interlinked with everything else.” While this sounds

  • like a fair assumption and the driving force behind the Internet of Things, it also means

  • that the complexity of production and supplier networks will grow enormously. Networks and

  • processes have so far been limited to one factory. But in an Industry 4.0 scenario,

  • these boundaries of individual factories will most likely no longer exist. Instead, they

  • will be lifted in order to interconnect multiple factories or even geographical regions.

  • The differences between a today's factory and an Industry 4.0 factory. In current industry

  • environment, providing high-end quality service or product with the least cost is the key

  • to success and industrial factories are trying to achieve as much performance as possible

  • to increase their profit as well as their reputation. In this way, various data sources

  • are available to provide worthwhile information about different aspects of the factory. In

  • this stage, the utilization of data for understanding the current condition and detect faults and

  • failures is an important topic to research. e. g. in production, there are various commercial

  • tools available to provide OEE information to factory management in order to highlight

  • root cause of problems and possible faults in the system. In contrast, in an Industry

  • 4.0 factory, in addition to condition monitoring and fault diagnosis, components and systems

  • are able to gain self-awareness and self-predictiveness, which will provide management with more insight

  • on the status of the factory. Furthermore, peer-to-peer comparison and fusion of health

  • information from various components provides a precise health prediction in component and

  • system levels and enforce factory management to trigger required maintenance at the best

  • possible time to reach just-in time maintenance and gain near zero downtime.

  • What are the challenges? Lack of adequate skill-sets to expedite the

  • march towards fourth industrial revolution Threat of redundancy of the corporate IT department

  • General reluctance to change by stakeholders Role of Big Data and Analytics

  • Modern information and communication technologies like Cyber-Physical Systems, Big Data or Cloud

  • Computing will help predict the possibility to increase productivity, quality and flexibility

  • within the manufacturing industry and thus to understand advantages within the competition.

  • Big Data Analytics consists of 6Cs in the integrated Industry 4.0 and Cyber Physical

  • Systems environment. 6C system that is consist of Connection, Cloud, Cyber, Content/context,

  • Community, and Customization. In this scenario and in order to provide useful insight to

  • the factory management and gain correct content, data has to be processed with advanced tools

  • to generate meaningful information. Considering the presence of visible and invisible issues

  • in an industrial factory, the information generation algorithm has to capable of detecting

  • and addressing invisible issues such as machine degradation, component wear, etc in the factory

  • floor. Impact of the Industry 4.0

  • There are many areas that are foreseen to have an impact with the advent of the fourth

  • industrial revolution. Of which four key impact areas emerge:

  • Machine Safety Industry value chain

  • Workers Socio-economic

  • See also Big data

  • SCADA Internet of Things

  • Machine to machine Industrial control system

  • Industrial Internet Predictive manufacturing system

  • Computer-integrated manufacturing References

  • External links Cloud-based design and manufacturing

  • Industrie 4.0 – Hightech-Strategie der Bundesregierung Bundesministerium für Forschung und Entwicklung

  • - Zukunftsprojekt Industrie 4.0 Plattform Industrie 4.0

  • BMBF-SpitzenclusterIntelligente technische Systeme OstwestfalenLippe it's OWL

  • Exzellenzcluster Integrative Produktionstechnik für Hochlohnländer

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Industry 4.0 is a project in the high-tech strategy of the German government, which promotes

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工業4.0 (Industry 4.0)

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    Huang LuLu 發佈於 2021 年 01 月 14 日
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