presentation on industry 4.0

Industry 4.0, which is synonymous with smart manufacturing, is the realization of the digital transformation of the field, delivering real-time decision making, enhanced productivity, flexibility and agility to revolutionize the way companies manufacture, improve and distribute their products.  

Manufacturers are integrating new technologies, including Internet of Things (IoT), cloud computing and analytics, and AI and machine learning into their production facilities and throughout their operations.

Smart factories are equipped with advanced sensors, embedded software and robotics that collect and analyze data and allow for better decision making. Even higher value is created when data from production operations is combined with operational data from ERP, supply chain, customer service and other enterprise systems to create whole new levels of visibility and insight from previously siloed information.

These digital technologies lead to increased automation, predictive maintenance, self-optimization of process improvements and, above all, a new level of efficiencies and responsiveness to customers not previously possible.

Developing smart factories provides an incredible opportunity for the manufacturing industry to enter the fourth industrial revolution. Analyzing the large amounts of big data collected from sensors on the factory floor ensures real-time visibility of manufacturing assets and can provide tools for performing predictive maintenance in order to minimize equipment downtime. 

Using high-tech IoT devices in smart factories lead to higher productivity and improved quality. Replacing manual inspection business models with AI-powered visual insights reduces manufacturing errors and saves money and time. With minimal investment, quality control personnel can set up a smartphone connected to the cloud to monitor manufacturing processes from anywhere. By applying machine learning algorithms, manufacturers can detect errors immediately, rather than at later stages when repair work is more expensive.  

Industry 4.0 concepts and technologies can be applied across all types of industrial companies, including discrete and process manufacturing, as well as oil and gas, mining and other industrial segments.

Learn how next-generation detection devices shift asset management services from routine maintenance regimes to predictive, AI-powered processes.

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First industrial revolution

Starting in the late 18th century in Britain, the first industrial revolution helped enable mass production by using water and steam power instead of purely human and animal power. Finished goods were built with machines rather than painstakingly produced by hand.

Second industrial revolution

A century later, the second industrial revolution introduced assembly lines and the use of oil, gas and electric power. These new power sources, along with more advanced communications via telephone and telegraph, brought mass production and some degree of automation to manufacturing processes.

Third industrial revolution

The third industrial revolution, which began in the middle of the 20th century, added computers, advanced telecommunications and data analysis to manufacturing processes. The digitization of factories began by embedding programmable logic controllers (PLCs) into machinery to help automate some processes and collect and share data.

Fourth industrial revolution

We are now in the fourth industrial revolution, also referred to as Industry 4.0. Characterized by increasing automation and the employment of smart machines and smart factories, informed data helps to produce goods more efficiently and productively across the value chain. Flexibility is improved so that manufacturers can better meet customer demands using mass customization—ultimately seeking to achieve efficiency with, in many cases, a lot size of one. By collecting more data from the factory floor and combining that with other enterprise operational data, a smart factory can achieve information transparency and better decisions.

The IoT is a key component of smart factories. Machines on the factory floor are equipped with sensors that feature an IP address that allows the machines to connect with other web-enabled devices. This mechanization and connectivity make it possible for large amounts of valuable data to be collected, analyzed and exchanged.

Cloud computing is a cornerstone of any Industry 4.0 strategy. Full realization of smart manufacturing demands connectivity and integration of engineering, supply chain, production, sales and distribution as well as service. Cloud helps make that possible. In addition, the typically large amount of data being stored and analyzed can be processed more efficiently and cost-effectively with cloud. Cloud computing can also reduce startup costs for small- and medium-sized manufacturers who can right-size their needs and scale as their business grows.

AI and machine learning allow manufacturing companies to take full advantage of the volume of information generated not just on the factory floor, but across their business units, and even from partners and third-party sources. AI and machine learning can create insights providing visibility, predictability and automation of operations and business processes. For instance, industrial machines are prone to breaking down during the production process. Using data collected from these assets can help businesses perform predictive maintenance based on machine learning algorithms, resulting in more uptime and higher efficiency.

The demands of real-time production operations mean that some data analysis must be done at the “edge”—that is, where the data is created. This minimizes the latency time from when data is produced to when a response is required. For instance, the detection of a safety or quality issue might require near-real-time action with the equipment. The time needed to send data to the enterprise cloud and then back to the factory floor may be too lengthy and depends on the reliability of the network. Using edge computing also means that data stays near its source, reducing security risks.

Manufacturing companies have not always considered the importance of cybersecurity or cyber-physical systems. However, the same connectivity of operational equipment in the factory or field (OT) that enables more efficient manufacturing processes also exposes new entry paths for malicious attacks and malware. When undergoing a digital transformation to Industry 4.0, it is essential to consider a cybersecurity approach that encompasses IT and OT equipment.

The digital transformation offered by Industry 4.0 has allowed manufacturers to create digital twins that are virtual replicas of processes, production lines, factories and supply chains. A digital twin is created by pulling data from IoT sensors, devices, PLCs and other objects connected to the internet. Manufacturers can use digital twins to help increase productivity, improve workflows and design new products. By simulating a production process, for example, manufacturers can test changes to the process to find ways to minimize downtime or improve capacity.

Embedded sensors and interconnected machinery produce a significant amount of big data for manufacturing companies. Data analytics can help manufacturers investigate historical trends, identify patterns and make better decisions. Smart factories can also use data from other parts of the organization and their extended ecosystem of suppliers and distributors to create deeper insights. By looking at data from human resources, sales or warehousing, manufacturers can make production decisions based on sales margins and personnel. A complete digital representation of operations can be created as a "digital twin."

The smart factory’s network architecture depends on interconnectivity. Real-time data collected from sensors, devices and machines on the factory floor can be consumed and used immediately by other factory assets, as well as shared across other components in the enterprise software stack, including enterprise resource planning (ERP) and other business management software.

Smart factories can produce customized goods that meet individual customers’ needs more cost-effectively. In fact, in many industry segments, manufacturers aspire to achieve a "lot size of one" in an economical way. By using advanced simulation software applications, new materials and technologies such as 3-D printing, manufacturers can easily create small batches of specialized items for particular customers. Whereas the first industrial revolution was about mass production, Industry 4.0 is about mass customization.

Industrial operations are dependent on a transparent, efficient supply chain, which must be integrated with production operations as part of a robust Industry 4.0 strategy. This transforms the way manufacturers resource their raw materials and deliver their finished products. By sharing some production data with suppliers, manufacturers can better schedule deliveries. For example, if an assembly line is experiencing a disruption, deliveries can be rerouted or delayed in order to reduce wasted time or cost. Also, by studying weather, transportation partner and retailer data, companies can use predictive shipping to send finished goods at just the right time to meet consumer demand. Blockchain is emerging as a key technology to enable transparency in supply chains.

Building a hybrid multicloud IT infrastructure is a key component in digital transformation for manufacturers seeking to take advantage of Industry 4.0. Hybrid multicloud is when a company has two or more public and private clouds to manage their computing workloads. This gives them the ability to optimize their workloads across all their clouds, as some environments are better suited to or more cost-effective for certain workloads. Manufacturers looking for digital transformation and a secure, open environment can move their existing workloads from their on-premises location to the best possible cloud environment. 

Augmenting manual inspections and technical assistance with AI-powered automated inspections cuts down on product defects, improving efficiency and minimizing false positives. Typically, the deep learning model can be quickly trained with existing images and videos. After, it is connected to a smartphone camera, the automated inspection model is ready to be added to the production line.

The digital transformation to Industry 4.0 starts with collecting data, then adds artificial intelligence to make sense of that data. Smart factories employ IoT devices that connect machines and computers to get a clear picture of the manufacturing facility with real-time data. Then AI and machine learning are used to pull actionable insights from the large quantities of data.

Industry 4.0 is bringing about the convergence of information technology (IT) and operational technology (OT) systems, creating interconnectivity between autonomous manufacturing equipment and broader computer systems. OT data from sensors, PLCs and SCADA systems are being integrated with IT data from MES and ERP systems. Augmented by machine learning, this integration impacts the entire enterprise, from engineering to operations, sales and quality.

Count on IBM specialists to help you model and deploy your vision of IoT-enabled, connected operations so you can reach new levels of agility and flexibility.

Deploy AI and IoT computer vision technologies within your operating environment to monitor your assets and detect production issues faster.

Let IBM professionals help you make the most of your SAP data and transactions by improving manufacturing output and increasing supply chain visibility and asset uptime.

IBM Solutions can help you build a better supply chain and reduce complexity by employing automation through AI and deploying the Industrial Internet of Things (IIoT).

Automate operations, improve experiences and enhance safety measures wherever they happen.

Enterprise asset management (EAM) is essential for keeping operations running. Manufacturers implementing Industry 4.0 technologies can easily have many thousands of IoT-connected devices in their smart factories. To meet the demands of Industry 4.0, each must have maximum uptime to ensure efficiency. Enterprise asset management drives operational resiliency and agility by allowing remote monitoring of equipment, offering functionality to extend asset lifecycles and providing analytics for predictive maintenance.

Fulfill the promise of Industry 4.0—transform your legacy production technologies by connecting IoT devices, collecting and analyzing real-time data and optimizing your manufacturing process.

Thirty-six percent of executives believe that securing their IoT platforms is a top challenge for their organizations.

UK-based aerospace component manufacturer Meggitt embraces the potential of Industry 4.0 to ensure faultless delivery and zero defects.

Combine data gathered through the IIoT to develop predictive maintenance capabilities and drive collaboration between key manufacturing personnel.

Let IBM experts help you manage your physical assets and equipment by leveraging IoT-enabled sensors and devices to enhance efficiencies and maximize resource investments.

Read blog posts that cover a range of Industry 4.0 topics, including AI-powered manufacturing, intelligent visual inspection and the IIoT.

Unlock the full potential of your enterprise assets with IBM Maximo Application Suite by unifying maintenance, inspection and reliability systems into one platform. It’s an integrated cloud-based solution that harnesses the power of AI, IoT and advanced analytics to maximize asset performance, extend asset lifecycles, minimize operational costs and reduce downtime.

Industry 4.0

Aug 22, 2018

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Do you know what is Industry40 and what can it bring to the business? Some companies miss out on huge opportunities and stay behind the competition, ignoring technological trends and innovations. Don't stay away, this presentation will show you the opportunities that the 4th industrial revolution brings to business! <br><br>If you are ready to know more – check out our article about Industry 4.0! Follow the link - https://bit.ly/2LH3yag

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Presentation Transcript

Industry 4.0 What’s it all about?

What is Industry 4.0? Industry 4.0 is more than just a flashy catchphrase. A confluence of trends and technologies promises to reshape the way things are made. — Cornelius Baur and Dominik Wee, McKinsey & Company “ ”

Transformation: Industry 0 to Industry 4.0 Industry 0 Industry 1.0 Industry 2.0 Industry 3.0 Industry 4.0

Principles of the 4th industrial revolution

What’s Inside?

Robotic Process Automation - RPA RPAis the transformation and automation of business processes. RPA changes the approach to the performance of repetitive tasks related to manual data entry and processing.

Robotic Process Automation - RPA Benefits of RPA for Business • Increases scalability and flexibility of business processes • RPA tools can work 24/7 • One software robot can do the work of 3-5 FTE • RPA allows achieving 40-80% cost savings Fact box Solution providers report that implementation of RPA yields to 40 – 80% of business process costs’ reduction. !RPA has become one of the most efficient ways towards process optimization.

Internet of Things - IoT IoTis usually defined as the connection between wireless technologies, microcontrollers, services and the Internet. It collects, transforms, and transmits real-time data from any device or machine – anywhere.

Internet of Things - IoT Fact box $1.4 TRILLION by 2021! IDC: Expects worldwide spending on IoT hardware, software, services, and connectivity to reach $1.4 trillion by 2021. $11.1 TRILLION by 2025 ! McKinsey: Predicts the IoT will have an $11.1 trillion per year impact by 2025

Additive Manufacturing Often referred to by its far more sensational-sounding description of 3D printing, additive manufacturing is, in fact, a technology which has been around for at least three decades.

Additive Manufacturing • Benefits of Additive Manufacturing for Business • Efficient use of resources • Small-lot production • Rapid manufacturing • Agile manufacturing • Reverse engineering

Cloud Computing Cloud computing is the delivery of on-demand computing services -- from applications to storage and processing power -- typically over the internet and on a pay-as-you-go basis.

Cloud Computing • Benefits of Additive Manufacturing for Business • Reduced IT costs • Scalability • Business continuity • Collaboration efficiency • Flexibility of work practices • Access to automatic updates Fact box Studies predict that more than 50% of all information technology will be in the cloud within the next 5 to 10 years. In the next five years, hybrid clouds are expected to represent 43% of the market – higher than both public and private.

Augmented Reality - AR AR is the technology that expands our physical world by adding layers of digital information onto it. AR appears in direct view of an existing environment and adds sounds, videos, graphics to it.

Augmented Reality Fact box • 30% of smartphone users use an AR app at least once a week. That’s over 60 millionpeople in the US. • By 2020 the revenue for AR is expected to reach$120 billion. • 69% of US respondents believe that using AR in workplace training could make their jobs easier to do.

Big Data Big data is an evolving term that describes any voluminous amount of structured, semi structured and unstructureddatathat has the potential to be mined for information. Big Data is used for • Understanding and Targeting Customers • Understanding and Optimizing Business Processes • Personal Quantification and Performance Optimization • Improving Healthcare and Public Health • Improving Sports Performance • Improving Science and Research • Optimizing Machine and Device Performance • Improving Security and Law Enforcement • Improving and Optimizing Cities and Countries • Financial Trading

Practical Big Data Benefits • Better dialogue with consumers • Opportunity for product re-development • Efficient risk analysis • High level of data safety • New revenue streams • Real time website customization • Acquiring enterprise-wise insights • Making cities smarter

Artificial Intelligence & Machine Learning AI is the simulation of human intelligence processes by machines. This includes learning(the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions) and self-correction !Machine learning is a way to make AI possible.

Artificial Intelligence & Machine Learning Fact box Top uses for AI and machine learning Respondents who have experience with AI and machine learning: 49% have heard or read about it 28% have personal experience working with it 15% have colleagues who have worked with it

Benefits of Industry 4.0 • More precise control over production lines • Improve consistency of production • Increase efficiency and revenue • Predictive maintenance • Less waste • Enables higher growth levels • Sustainable Manufacturing • Increase customer satisfaction

Want to learn how these technologies used in the real life? Take a look at our CASES Click

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Industry 4.0 refers to a new phase in the Industrial Revolution that focuses heavily on interconnectivity, automation, machine learning, and real-time data. Industry 4.0, also sometimes referred to as IIoT or smart manufacturing, marries physical production and operations with smart digital technology, machine learning, and big data to create a more holistic and better-connected ecosystem for companies that focus on manufacturing and supply chain management. While every company and organization operating today is different, they all face a common challengeu2014the need for connectedness and access to real-time insights across processes, partners, products, and people.

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Industry 4.0: The Fourth Industrial Revolution

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Industry 4.0 PowerPoint Template

The Industry 4.0 PowerPoint Template is a storytelling presentation of modern history. The template contains timelines and step-wise diagrams to explain industry revolution. These diagrams demonstrate a process of change which had higher impact on industries and manufacturing machines. A 6-slide industry 4.0 PowerPoint shows revolution of four centuries starting from the 1700s. Major industrialization began with simple machines and manufacturing techniques. This PowerPoint graphically demonstrates advancement in manufacturing and technology. Industry 4.0 is basically a transformation concept for manufacturing market. It also includes process manufacturing, logistics, and supply chain.

The slides of Industry 4.0 PowerPoint Template provide shapes and icons showing machines and technology. For example, the first layout is industry 4.0 background design showing machine automation. The template also displays infographic icons in bottom. These include Automation, Connection, Cloud Computing, IOT, Big Data, and System Integration. Therefore, diagrams and timelines of industry 4.0 enable professionals to explain production processes. Furthermore, three stair style timeline template display revolution with a variety of devices to define approaches. Such as simple steam power machines in the 1700s, assembly line concept in 1800s and computerize electronics in 1900s. And now, internet, cloud data, and remote access to operate.

The PowerPoint template of industry 4.0 contains 6 slides of editable objects which portray concept diagrams. Here, the timeline templates are self-explanatory PowerPoint providing small description along with graphics at each stage. Apart from timelines, there are one 8 steps circular process cycle and four steps circuit network diagram. Both slides are useful in describing digital and industrial transformation in revolution of centuries. This template of industry 4.0 concept facilitates professionals to describe business intelligence, smart networking, and automatic steps. The set of PowerPoint slides summarize important events from the past which contribute to revolution. Moreover, present important faces in an information PowerPoint or explain revolutionary change to the company.

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Our PowerPoint slides show how machines of Industry 4.0 can independently communicate with each other to optimize your production process.

Networked Manufacturing

The Internet of Things has laid the foundations for a “smart factory”. The concept of Industry 4.0 is simple – in a variety of devices, small data storage is installed which can be read and written wirelessly. This data is then linked together and further processed via the Internet or other networks. After applying this technique to the machines and equipment at a factory, the "cyber-physical system" (CPS) or infrastructure emerges, in which all machinery in the manufacturing process can communicate independently with one another.

Increase Efficiency

Industry 4.0 technology leads to an "intelligent" networking of the production and logistics fields. "Smart Networking" means that within a manufacturing facility, the individual machines can automatically swap data and check the status of other steps. With this information, it is possible for them to bring their own activity dynamically. In other words, they can learn autonomously in the broadest sense. This is called a "vertical" integration of a concept or, that is to say, within a particular company. It can also apply "horizontally" across the entire value chain. Upstream or downstream industries can exchange related data automatically and independently optimize the flow of material and logistics.

In this PowerPoint set, we have summarized the most important information for industry 4.0 from diagrams on the possible structure of a smart factory to recommendations for practical implementation, including possible advantages and disadvantages of the concept. Furthermore, a range of statistics and data on predicted development and research requirements provides a future outlook. Use our presentation templates to update your customers, employees or supervisors about the technology of networked manufacturing.

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• IoT as a basis for Industry 4.0
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• the influence of technology on businesses and employees
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Industry 4.0: Importance of Data and Signals and Triggers

Aug 12, 2018 | Articles , DataPoint , DataPoint Real-time Screens

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Fourth Industrial Revolution (Industry 4.0) Thesis Defense

It seems that you like this template, fourth industrial revolution (industry 4.0) thesis defense presentation, free google slides theme, powerpoint template, and canva presentation template.

Are you ready to present the results of your research on the Fourth Industrial Revolution? With this editable and professional template you can easily show your hard work in a captivating way! The template comes with editable diagrams, charts, and tables to help you explain your findings. Plus, you can edit the colors and shapes to make it unique and reflect your own style.

Features of this template

• 100% editable and easy to modify
• 30 different slides to impress your audience
• Contains easy-to-edit graphics such as graphs, maps, tables, timelines and mockups
• Includes 500+ icons and Flaticon’s extension for customizing your slides
• Designed to be used in Google Slides, Canva, and Microsoft PowerPoint
• 16:9 widescreen format suitable for all types of screens
• Includes information about fonts, colors, and credits of the resources used

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