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industry 4.0


Industry 4.0 - Interview Times

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While the ongoing pandemic and subsequent nationwide lockdowns have been prime reasons for stress on the overall economy, the Digital India movement initiated by the government of India remained pivotal in providing a push to Industry 4.0 or the application of Advanced Digital Production (ADP) technologies. Industry 4.0 is a complete revolution of old technologies with more automation, artificial intelligence (AI) and also bridging the gap between physical and digital world by enabling Internet of Things (IoT). The current trend of digital transformation has a vision of reaching the stage where one can enable the autonomous decision-making, monitor assets, value creation process as well as vertical, horizontal integration. Industry 4.0 Applications No doubt, there are industries which have already started preparing themselves for the Industry 4.0 and future, where smart manufacturing can enhance their business. However, there are some which are still denying or struggling to know how industry 4.0 can impact their business in the best manner as well as to find the talent respectively.


The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions

arXiv.org Artificial Intelligence

The increasing need for economic, safe, and sustainable smart manufacturing combined with novel technological enablers, has paved the way for Artificial Intelligence (AI) and Big Data in support of smart manufacturing. This implies a substantial integration of AI, Industrial Internet of Things (IIoT), Robotics, Big data, Blockchain, 5G communications, in support of smart manufacturing and the dynamical processes in modern industries. In this paper, we provide a comprehensive overview of different aspects of AI and Big Data in Industry 4.0 with a particular focus on key applications, techniques, the concepts involved, key enabling technologies, challenges, and research perspective towards deployment of Industry 5.0. In detail, we highlight and analyze how the duo of AI and Big Data is helping in different applications of Industry 4.0. We also highlight key challenges in a successful deployment of AI and Big Data methods in smart industries with a particular emphasis on data-related issues, such as availability, bias, auditing, management, interpretability, communication, and different adversarial attacks and security issues. In a nutshell, we have explored the significance of AI and Big data towards Industry 4.0 applications through panoramic reviews and discussions. We believe, this work will provide a baseline for future research in the domain.


Implementing the Cognition Level for Industry 4.0 by integrating Augmented Reality and Manufacturing Execution Systems

arXiv.org Artificial Intelligence

In the current industrial practices, the exponential growth in terms of availability and affordability of sensors, data acquisition systems, and computer networks forces factories to move toward implementing high integrating Cyber-Physical Systems (CPS) with production, logistics, and services. This transforms today's factories into Industry 4.0 factories with significant economic potential. Industry 4.0, also known as the fourth Industrial Revolution, levers on the integration of cyber technologies, the Internet of Things, and Services. This paper proposes an Augmented Reality (AR)-based system that creates a Cognition Level that integrates existent Manufacturing Execution Systems (MES) to CPS. The idea is to highlight the opportunities offered by AR technologies to CPS by describing an application scenario. The system, analyzed in a real factory, shows its capacity to integrate physical and digital worlds strongly. Furthermore, the conducted survey (based on the Situation Awareness Global Assessment Technique method) reveals significant advantages in terms of production monitoring, progress, and workers' Situation Awareness in general.


The role of data in industry 4.0 - Connected Technology Solutions

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The challenges encountered by manufacturing companies when it comes to handling data are well reported, but what can they do to ensure that data is an asset rather than a problem? Data has long been treated in the manufacturing industry as the orphan nephew living in the cupboard under the stairs. While operational and service industries have leapt on the benefits of data as the catalyst of business growth and efficiency gains, the manufacturing sector has been slow to adopt the culture of becoming a data-driven business. According to Accenture, only 13 per cent of manufacturing companies have seen through a digital transformation of their processes. "In many ways the core approach to manufacturing has remained unchanged for the past 50 years despite the industry experimenting with offshoring and integrated manufacturing in mega factories," Tim Hall, VP products, InfluxData, says.


AI-Led Manufacturing in Industry 4.0

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The Internet of Things (IoT) brought in an unprecedented tsunami of structured and unstructured data. Information, in conjunction with the easily available inexpensive computing systems, paved the way for the next level of manufacturing. AI, being the flagbearer of the transition, plays a vital role. A village cobbler performs all shoe manufacturing-related tasks on her own – from design, manufacturing, and repair to reuse. Ameri and Dutta cited this crisp model as an ideal example of an integrated and competence-centered enterprise.


7 Reason Why Artificial Intelligence In Manufacturing Revolutionizing - Techiexpert.com

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Artificial intelligence in manufacturing is changing the world – not least the manufacturing industry, and AI is set to make the fourth modern insurgency. This will be because of a mix of AI, propelled robots, added substance Artificial intelligence and Machine Learning are changing the world – not least the manufacturing industry, and AI is set to make the fourth modern insurgency. This will be because of a mix of AI, propelled robots, added substance Manufacturing (or 3D printing), and the web of things. The manufacturing industry keeps on finding a way to modernize strategic policies. Trendsetting innovations like the Industrial Internet of Things, community-oriented robots and Artificial Intelligence (AI) have shot Manufacturing into the 21st century.


Teaching Neural Networks to be Humans

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The Fourth Industrial Revolution (Industry 4.0) has become a framework related challenge for scientific researchers. Industry 4.0 is principally portrayed by evolution and convergence of nano-, bio-, information and cognitive technologies to upgrade great transformations in economic, social, cultural and humanitarian spheres. Experts managing advancement and introduction of the sixth technological paradigm technologies decide by and large whether our nation can ride the influx of Industry 4.0 developments. For as long as 25 years, the creators have been building up the concept of systematic computer simulation training at schools and educators' training colleges. The idea thoughts have been summed up and introduced in the course reading.


Teaching Neural Networks to be Humans

#artificialintelligence

The Fourth Industrial Revolution (Industry 4.0) has become a framework related challenge for scientific researchers. Industry 4.0 is principally portrayed by evolution and convergence of nano-, bio-, information and cognitive technologies to upgrade great transformations in economic, social, cultural and humanitarian spheres. Experts managing advancement and introduction of the sixth technological paradigm technologies decide by and large whether our nation can ride the influx of Industry 4.0 developments. For as long as 25 years, the creators have been building up the concept of systematic computer simulation training at schools and educators' training colleges. The idea thoughts have been summed up and introduced in the course reading.


LafargeHolcim launches Industry 4.0 for cement production – Australian Bulk Handling Review

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LafargeHolcim will implement automation and robotics, artificial intelligence, predictive maintenance and digital twin technologies for its production process. The company is upgrading its production fleet for the future through its'Plants of Tomorrow" program. The program will be rolled out over four years as LafargeHolcim upgrades its technologies in the building materials industry. The company predicts a "Plants of Tomorrow" certified operation will show 15 to 20 percent of operational efficiency gains compared to a conventional cement plant. Among the technologies implemented are predictive operations that can detect abnormal conditions and process anomalies in real-time. This aims to reduce maintenance costs by more than 10 percent and significantly lower energy costs. Digital twins of plants will also be created to optimise training opportunities. Automation and robotics is another important element of the strategy. Unmanned surveillance is being performed for high exposure jobs in the entire plant. Partnering with Swiss start-up Flyability, the company is using drones that allow the frequency of inspections to increase while simultaneously reducing cost and increasing safety for employees by inspecting confined spaces. In addition, the new PACT (Performance and Collaboration) digital tool allows operational decision making from experience-based to data-centric, by combining data from various sources and enabling machine learning applications. LafargeHolcim is currently working on more than 30 pilot projects covering all regions where the company is active. The first integrated cement plant will be at LafargeHolcim's premises in Siggenthal, Switzerland, this plant will test all modules of the'Plants of Tomorrow' program. LafargeHolcim Global Head Cement Manufacturing, Solomon Baumgartner Aviles, said transforming the way we produce cement is one of the focus areas of our digitalisation strategy and the'Plants of Tomorrow' initiative will turn Industry 4.0 into reality at our plants. "These innovative solutions make cement production safer, more efficient and environmentally fit.


COVID-19 accelerates need to adopt Industry 4.0: Atul Patil

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At Mitsubishi Electric, we are providing smart manufacturing solution and we call it'e-f@ctory' that utilizes cutting-edge Factory Automation products based on its high-speed networking technologies like CC-Link IE and CC-Link IE TSN to visualize information and coordinate with high-level Manufacturing Execution Systems (MES), to improve productivity, while reducing Total Cost of Ownership (TCO). It enables rapid Digital Transformation of the manufacturing industry by integration of IT & FA/OT systems. For this, all our FA Products like PLCs, HMIs, Inverters, AC Servo Systems, CNC Controllers, Industrial Robots, IPCs, and Low Voltage Switchgear are equipped with advanced technologies for communication. We also have pre-engineered software development packages called'iQ-Monozukuri' which are specifically developed for processes like And-On, Packaging, Handling, Converting, etc. These solutions help to reduce the development and deployment of Industrial Automation Solutions to the Industry and enable faster production, reducing the time to market and increase efficiency.