Even in the manufacturing sector, energy-efficient solutions in production technology will play a decisive role in achieving Germany's ambitious climate goals. German companies active in energy-intensive industry sectors have been working for decades to optimise energy efficiency in production processes. Production technology is undergoing radical change with the arrival of the Internet of Things in the factory. Industrie 4. OWL connects more than companies and research institutes with the goal of finding solutions for processing data from machines, creating new services and business models, and using technology to improve working conditions. Get in touch to learn more.
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- Future Factory: How Technology Is Transforming Manufacturing
- Machinery and Equipment
- Smart manufacturing
- 5 Manufacturing Technology Trends to Watch in 2019
- The road ahead
- How technology is changing manufacturing
- Subscribe to the Industry 4.0 Blog
- Machine industry
- Top 5 Digital Transformation Trends In Manufacturing
- 6 Technologies Transforming the Manufacturing Industry in 2016
Future Factory: How Technology Is Transforming ManufacturingVIDEO ON THE TOPIC: Future Manufacturing 4.0: Toyota innovation, robotics, AI, Big Data. Futurist keynote speaker
The benefits of digitization in manufacturing are many, but can be summarized under these 5 categories:. Productivity — Design and development processes are faster and better informed using tools such as 3D printing and augmented reality, and by leveraging behavioral data from users in real time.
Production is streamlined with minimal downtime due to connected machines sending vital maintenance data that can be leveraged to prevent malfunctions and optimize output. Quality — High-definition sensors monitor production parameters of the product along the entire production line process.
Sometimes referred to as Quality 4. Cost — Capturing and analyzing data across all stages of the manufacturing process, including production line and machine data, logistics and transportation, makes it possible to identify new cost reduction opportunities.
Inventory can be better managed to meet demands in a more accurate manner while machines offer a high level of flexibility that allows for quick changes between products. Customization — Customization has become a key selling point for customers. Digitized manufacturing lines can offer customers attractive customization options while still operating on a mass scale and at a high level of efficiency so that prices remain competitive.
Safety — Work in dangerous environments can be handled by robots. With the emergence of Industry 4. APM pools together a number of tools in order to improve the availability and overall reliability of physical assets within the manufacturing ecosystem. These tools collect, organize, visualize, and analyze data from the assets, and leverage it by performing predictive forecasting, condition monitoring and reliability maintenance. The older approach of client-server data management systems is rapidly being replaced by industrial cloud applications.
This new method of developing and deploying software has many advantages over the older heavier and more complex server approach, and allows for easy updates and low-cost maintenance. Digitization of the supply chain in the form of connected products positions manufacturers as innovators within their markets. The fog, or fog computing, inhabits the space between IoT endpoints and the cloud.
Industrial IoT is advancing at a rapid pace as manufacturers understand the immense potential of this technological approach to completely change how their operations work. Leading use cases of Industry 4. The most significant premise of industrial IoT is the ability to receive and analyze constant updates from sensors and other data collection points in real time — and to be able to respond with immediate action.
This makes machine learning a very powerful tool in leveraging IoT to benefit industrial production. This allows for unusual behaviors to be identified and for errors and malfunctions to be predicted with high accuracy. Many of the automated manufacturing systems in operation today are controlled by what is commonly known as a Distributed Control System DCS alongside programmable logic controllers PLCs.
Open Process Automation aims to provide a new generation of automation infrastructure that can be easily implemented and adapted for use in industrial and consumer IoT scenarios. The utilization of robotics in industrial manufacturing is common today with close to 2 million industrial robots working around the world. The motivation behind robotics is clear. The efficiency they offer is unparalleled and they can do monotonous, unpleasant, and dangerous work instead of humans.
The Internet of Robotic Things IoRT takes robotic technology to the next level and will be a major part of the future of manufacturing. Production robots will be connected and fed with real-time data that will be used to make decisions with regards to synchronicity and performance on the factory floor.
The IoRT will allow manufacturers to better meet the needs of their customers, and accurately respond to changes in the supply chain. In such a scenario, all aspects of manufacturing activity — human, machine, and human-machine interaction — are synchronised and coordinated to achieve optimal output, and ensure sustainability for the operation, and for the people that make it work.
A well-defined digital transformation strategy is critical for the overall success of IoT implementation in a manufacturing setting. The strategy should cover every aspect of business activity — from development and production, to advanced quality control, delivery, and analysis. As much data as possible should be collected from the machines in their current and past states before implementation of the new system begins.
IoT offers manufacturers so many potential directions for development that the myriad of options can be confusing. This is why a clear strategy is imperative to ensure focus. Part of this focus is of course the needs of the customer which should be a central goal of the digital transformation process. The roadmap for digital transformation does include a number of challenges.
The good news is that there are already many tools and services in place to assist manufacturers in making the digital transformation process structured, predictable, and successful. Here are some of the challenges to look out for when implementing digitization in manufacturing:.
Leading a manufacturing facility through the digital transformation journey requires a substantial investment. This process requires planning and customization as no two digital transformation programs should ever look the same. The needs of every plant or factory are different, and so are the available resources. The good news is that IoT is flexible and not a one-size-fits-all type of tool.
Manufacturers with a more limited budget should think big initially since having a long-term vision is important for reaching a truly valuable goal down the line. Once this vision has been explored, a solution with a solid ROI should be sought out as a proof-of-concept. This means that as a first phase in the process, data collected by the network — and the analytics and resultant actions based on that data — should be the most important and influential information for that specific operation.
Once those central parameters are being leveraged, decisions about how to further the capabilities of the network can be taken. Introducing technology alone is not enough without the relevant knowledge to make it work. If the level of expertise within the company is insufficient, management will have to consider partnering with external consultants or hiring new employees.
The introduction of IIoT to a manufacturing facility is more like a paradigm shift than a slight improvement. The organization itself will need to change in order for this new technology to be properly implemented. While this can be daunting, it can lead to a lot of positive outcomes as organizational structure is reset and re-tested, creating the opportunity for better employee placement and other improvements.
Manufacturers need to understand that their technology stack and development processes will need to undergo numerous changes to suit the more agile nature of Industry 4.
Release cycles based upon quarters, or other lengthy and rigid iteration schedules, will need to be replaced. The goal is to make use of the data in completely new ways, which naturally demands changes to business rules, the way that content is presented, and how data is leveraged.
This represents a real sea-change in manufacturing. As product releases become continuous, the IoT development process will need to support this behavior, utilizing data from user feedback and using analytics in order to achieve a high level of digital performance. To do this, updates will be needed to make the data read and write-accessible through secure and robust APIs. This is difficult to do with outdated tech, which unfortunately means more than 5 years old when it comes to core business systems.
Not everybody is open to change. The current digital disruption in manufacturing is experienced as a threat to many employees. While no one can be certain of what the future holds, change is not something to fear. Commitment to the digital transformation process should start with executive management and be passed onto individual employees. Cyber security should be taken into account at the start of any digital transformation project.
Points of vulnerability should be identified and a number of defense layers and fail-safe mechanisms need to be in place to ensure that the system is completely secure. A good approach to launching a digital transformation in manufacturing is to identify improvement opportunities in performance that will result directly or indirectly in significant benefits to the customer.
This places the focus on areas such as the supply chain, operations, customer service, engineering and support as well as the business model itself. Additional tips for beginning a digital transformation process are to:. The digital transformation in the manufacturing sector is very evident in some companies and completely dormant in others.
How do you view your operation at the moment? Where would you like to be in the future? These two very simple questions are important to answer as an initial step in laying out your digital transformation plan.
To learn more, pick up our free handbook on how to build a successful digital transformation strategy. What You Get — The Advantages of Digital Transformation in Manufacturing The benefits of digitization in manufacturing are many, but can be summarized under these 5 categories: Productivity — Design and development processes are faster and better informed using tools such as 3D printing and augmented reality, and by leveraging behavioral data from users in real time.
Connected Products and Services Digitization of the supply chain in the form of connected products positions manufacturers as innovators within their markets. The Fog The fog, or fog computing, inhabits the space between IoT endpoints and the cloud.
Robotics The utilization of robotics in industrial manufacturing is common today with close to 2 million industrial robots working around the world. Digital Transformation Strategy A well-defined digital transformation strategy is critical for the overall success of IoT implementation in a manufacturing setting. Take into account the current status of the company with regards to digitization, and then set targets for a 5-year period. Goals with the most significant ROI should take top priority, while measures should be taken to get leadership on board.
Decide upon projects that establish POC. This somewhat experimental phase should use a variety of pilot projects to establish the performance of cross-functional teams, and gauge how agile the process is. Based on knowledge gained from Step 2. At this stage, you should be better informed about the abilities of your teams to implement the new technology, and whether additional recruiting is necessary.
Learn to leverage data analytics. Progressing to Industry 4. This analysis should be immediately fed into the decision making process. Adopt digital transformation as a company. Implementing Industry 4. To reap the benefits, adoption of this new approach should be company-wide, led from the top with C-suite and financial stakeholders setting the tone. Develop as an integral part of your ecosystem. As you use IoT to create better solutions for your customers, keep a broad vision of your position within your business ecosystem.
Share knowledge with partners and suppliers, and explore potential avenues for further collaboration to further the quality and scope of your products and services. Digital Transformation Challenges The roadmap for digital transformation does include a number of challenges. Here are some of the challenges to look out for when implementing digitization in manufacturing: Budget limitations Leading a manufacturing facility through the digital transformation journey requires a substantial investment.
Lack of relevant knowledge Introducing technology alone is not enough without the relevant knowledge to make it work. Rigid company structure The introduction of IIoT to a manufacturing facility is more like a paradigm shift than a slight improvement.
Unsuitable development processes Manufacturers need to understand that their technology stack and development processes will need to undergo numerous changes to suit the more agile nature of Industry 4.
Like the Industrial Revolution impacted manufacturing, digital transformation is now responsible for changing the industry. Not since Henry Ford introduced mass production has there been a revolution to this scale. Consumer expectations and the advent of connected devices and platforms are driving the persistent digitization of the manufacturing. The industry continues to evolve in response to the challenge of ensuring the right products are delivered at the right price to the right person through a process of improved sophistication. The manufacturing industry is leading in the IoT because of the revolutionary ways this connected technology has streamlined and simplified various manufacturing processes. For instance, IoT can provide real-time feedback and alerts companies of defects or damaged goods.
Machinery and Equipment
Manufacturing is no longer simply about making physical products. Changes in consumer demand, the nature of products, the economics of production, and the economics of the supply chain have led to a fundamental shift in the way companies do business. Customers demand personalization and customization as the line between consumer and creator continues to blur. As technology continues to advance exponentially, barriers to entry, commercialization, and learning are eroding. New market entrants with access to new tools can operate at much smaller scale, enabling them to create offerings once the sole province of major incumbents. While large-scale production will always dominate some segments of the value chain, innovative manufacturing models—distributed small-scale local manufacturing, loosely coupled manufacturing ecosystems, and agile manufacturing—are arising to take advantage of these new opportunities. Meanwhile, the boundary separating product makers from product sellers is increasingly permeable.
The benefits of digitization in manufacturing are many, but can be summarized under these 5 categories:. Productivity — Design and development processes are faster and better informed using tools such as 3D printing and augmented reality, and by leveraging behavioral data from users in real time. Production is streamlined with minimal downtime due to connected machines sending vital maintenance data that can be leveraged to prevent malfunctions and optimize output. Quality — High-definition sensors monitor production parameters of the product along the entire production line process. Sometimes referred to as Quality 4. Cost — Capturing and analyzing data across all stages of the manufacturing process, including production line and machine data, logistics and transportation, makes it possible to identify new cost reduction opportunities.SEE VIDEO BY TOPIC: 5 INCREDIBLE Machines for Manufacturing at Home #1
Each institute is a unique public-private partnership, jointly funded by government and private industry, focused on a different advanced manufacturing technology area but working toward the same high-level goal: to secure America's future through manufacturing innovation, education, and collaboration. Institutes connect member organizations, work on major research and development collaboration projects to solve industry's toughest challenges, and train people on advanced manufacturing skills. Manufacturing USA's network of member institutes work stronger, together. Overcoming technical hurdles, sharing state-of-the-art facilities and equipment, and training tomorrow's workforce. Find your institute Testimonials. Learn More. Join the innovation revolution. Read More.
5 Manufacturing Technology Trends to Watch in 2019
Image Source Once perceived as strictly a blue-collar industry, the manufacturing industry today is now a hub for exciting new technology and innovation and never has there been more exciting technology transforming the manufacturing than there is in The implementation of advanced technologies in manufacturing has brought about change that would have been unimaginable just a decade ago resulting in increased speed, customization, precision, and efficiency. Here is a look at six revolutionary technologies that are changing the look of manufacturing as we now know it.
Federal government websites often end in. The site is secure. Steady industry growth was a trend for manufacturers in According to a recent Forbes report , U. Those numbers are expected to climb in New technologies and innovations continue to create manufacturing jobs. For instance, computer numerical control CNC machine advances are boosting output and efficiency metrics, leveling the productivity playing field for small and medium-sized manufacturers SMMs. But are manufacturers taking full advantage of these technological advances?
The road ahead
Employment in that sector has dropped from around 14 percent of the U. Many jobs have shifted overseas as employers seek low-cost labor and nations with fewer safety and environmental regulations. But in recent years, the outlook has turned more bullish. There has been a resurgence in American manufacturing. After reaching a low point of That still is down from Indeed, a recent New York Times article found that manufacturing output has achieved a record high in the most recent quarter. Workers now are producing 47 percent more than 20 years ago.
How technology is changing manufacturing
For many industrial manufacturers, what was once a clear path to success is now fraught with uncertainty. Making equipment for a wide array of industrial activities — such as big construction projects, large industrial facilities, oil and gas fields, and refineries — has for years been difficult to navigate, but major companies often used their size to sidestep obstacles. The strength of having multiple product lines covering the full gamut of industrial operations frequently allowed industrial manufacturers to eke out profits from some segment of their customer base even as slowdowns imperiled other sectors. But juggling business in this way is no longer a viable strategy, particularly if a company relies on traditional machinery for its revenue streams, as many industrial manufacturers do. Customers increasingly seek improved efficiency and production transparency from connected technologies and digitization. Their loyalty to companies that fail to offer innovative products is waning. Equally important, the inherent advantages of large, diversified organizations — such as lower cost of capital and sophisticated talent development and recruitment programs — are diminishing as capital market efficiency improves lending outcomes for all participants and increasing information transparency provides windows into attractive new jobs across the corporate landscape for the best prospective workers. A significant portion of new sales growth for industrial equipment manufacturers will come from connected equipment with sensors, actuators, and analytical insights that can exchange critical data with other machines and computer networks. Twitter LinkedIn. These trends have been slowly emerging over the past few years, but the pace has quickened for digitized devices particularly.
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Smart manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing , high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. The broad definition of smart manufacturing covers many different technologies. Some of the key technologies in the smart manufacturing movement include big data processing capabilities, industrial connectivity devices and services, and advanced robotics. Smart manufacturing utilizes big data analytics , to refine complicated processes [ clarification needed ] and manage supply chains.
The machine industry or machinery industry is a subsector of the industry , that produces and maintains machines for consumers, the industry, and most other companies in the economy. This machine industry traditionally belongs to the heavy industry.
Top 5 Digital Transformation Trends In Manufacturing
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6 Technologies Transforming the Manufacturing Industry in 2016
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