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State of Industrial Media: 2022 and Beyond

Lew Weiss, founder of Jacket Media Co, host of Manufacturing Talk Radio and publisher of Manufacturing Outlook.

No longer is content consumed as a form of education, professional development, or comparative analysis. Solution-seekers perform a Google Search, find matches based on the algorithms of search engine optimized rankings. There is no triangulation. Top ten rankings constitute information gathering, little else. Out of sight, out of mind.

This is neither good nor bad; it is. In this vast media paradigmatic shift, survivors of the media miasma live by the maxim: eat or be eaten. Many in the media have failed to look ahead. Many keep running content that could have been authored twenty years ago. No contemporaneous insights, contexts, or prognostication are offered. Just more of the same.

 
State of Industrial Media: 2022 and Beyond

Thomas R. Cutler, who founded the 9000+ member Manufacturing Media Consortium in 1999 and has authored more than 8000 articles in that time span; he has been working with Jacket Media Co for some time as a regular contributor to our most popular publication Manufacturing Outlook. Cutler brainstormed with me and contributed to the report which follows. Tom has seen all the media shifts, the transition to conference content, webinars, YouTubes, and yes, TikTok.

Balancing media coverage: forward thinking and providing a microphone

Profitable media outlets including Jacket Media Co must balance the editorial trendspotting with those of paid sponsors, content contributors, and podcast hosts and guests.
State of Industrial Media: 2022 and Beyond

The function of marketing has changed. It used to be building brand and product awareness and acquiring lead generation, particularly through digital and traditional methodologies. The marketing role is far more engaged in the industrial complex responsible for bottom line growth as an integral part of the “sales AND marketing” effort.  Salespeople are rarely responsible for following up with prospects except via LinkedIn or those about to issue a purchase order in 90 days. They are bonused and rewarded on closed activities, not advancing the longer-term sales pipeline.

Even when a PR firm is engaged, 90% of these firms have no prior relationships with members of the Manufacturing Media Consortium and are therefore pitching. Cutler reports that 100% of editorial pitches are summarily discarded when sent from an unknown source.  Alternatively, those emails get sent to advertising or sponsorship departments to sell revenue generating space. Without the prior relationships and without successful demonstration of content creation by a PR firm, it is a waste of time and money. Anyone can pitch a story, few know the culture of the publications, the readers, and the editors’ expectations. This is where expertise in content creation, succinct and precise communication, and dynamic storytelling become a paramount function whether handled internally or externally by a PR firm. 

The media kit is dead (or should be)

The fluidity of world events makes the media kit anachronistic. Two years ago, few spoke about supply chain disruption, Ukraine, oil prices, inflation, the great resignation, cybersecurity challenges, and high-level robotics. Now those topics are omnipresent. Any media calendar that was prepared in Fall of 2021 would have missed all these topics.

All editorial has multiple purposes for the reader, the publishers, and the company (paying sponsor). Ultimately, most want to know how manufacturers succeeding now and can improve moving forward. To state the obvious, potential disruptions to industrial business operations keep growing every day. There is (and will continue to be) a shortage of skilled workers. Risks are rising and difficult to mitigate. Supply chain disruptions are coming from all sides (promulgating the conversation of nearshoring).

And still these best-practice operations are failing to tell their stories. They are failing to profile their leaders, and they are failing to use the new media methodologies that all GenZers have grown up with and utilize for hours a day. This failure to connect with the new generation of communication portends a dismal outlook without immediate corrective action.

Spotlight

Adcole LLC

Adcole LLC is the world leader in the Cylindrical Coordinate Measuring Machine (CCMM) Industry. With roots dating back to 1957, the company provides the most accurate gaging solutions for automated measurements of camshafts, crankshafts and other high precision cylindrical components. From its headquarters in Marlborough, MA, the company ships to every major automotive manufacturer and tier-1 supplier across the globe and is valued for “trusted accuracy”,— making Adcole gages the world standard in the industry.

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Advanced Manufacturing: Be Competitive in 2022

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Manufacturing processes will undergo significant transformation in 2022 as a result of advanced manufacturing technology. The changing manufacturing industry is full of digitization to improve processes, products, productivity, and business revenue. Manufacturers must realize the advantages of advanced manufacturing and learn to enhance their production processes to increase their manufacturing plant's productivity. Once you understand the heart of your business and where to integrate technology, you're halfway to success. The manufacturing industry's top professionals have also recognized the technology shift and are supporting upskilling in the manufacturing business. Mr. Matt Mong has said in his interview with Media7, “Once you start to look at yourself in the right way and realize that projects are at the core of your business, it is easy to see how you should use technology to support your business.” – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca Importance of Advanced Manufacturing Adopting innovative manufacturing technologies has several advantages that grow its acceptance and relevance among manufacturers across industries. The following are the most significant advantages of advanced manufacturing. Amplifying the product and process quality Improvement in productivity Encourages new ways to innovation Decreases production time Considering the factors above that contribute to the production process becoming more efficient, productive, and revenue-generating, advanced manufacturing will continue to dominate the manufacturing business in 2022. Top Five Technologies That Are Advancing Manufacturing in 2022 To better understand the current trends in manufacturing technology, let us comprehend the technologies that are advancing the manufacturing industry. Additionally, discover how these technologies help manufacturers to advance their manufacturing processes. Cloud Computing Cloud computing in manufacturing is used for marketing, product development, inventory management, and productivity management. It stores software and commercial data via internet connections. Cloud computing is becoming a prevalent technology because it enables manufacturers to improve communication and manage the entire production cycle effectively. According to MarketsandMarkets' study, the global cloud computing market will also increase to 832.1 billion dollars by 2025, growing at a 17.5 percent annual rate in the following years. Benefits of Cloud Computing Fewer technical issues when compared to traditional software use Cost savings because no in-house servers are required Cloud computing enables easy scalability for your developing firm Cloud computing provides centralized control and access from any device How did McDonald's use AWS cloud computing services to transform their customer service? Additive Manufacturing Additive manufacturing enables the fabrication of lighter, more sophisticated designs that would be impossible or prohibitively expensive to fabricate using conventional dies, molds, milling, and machining techniques. Rapid prototyping is another area where additive manufacturing thrives. As a result, it is gaining a grip in the manufacturing business. According to Statista's market research, the additive manufacturing industry is worth approximately 12.6 billion US dollars in 2020 and is predicted to increase at a compound annual growth rate of 17% until 2023. Benefits of Additive Manufacturing Reduces material waste Simplifies manufacturing processes Additive manufacturing enables on-demand production Increases supply chain flexibility The finished product can be made close to the end customer Robotics Robots are used in manufacturing to automate repetitive tasks, resulting in a more efficient assembly line. Humans and robots work together on a variety of things as well during the production of various products. Many jobs are hazardous or necessitate many supplies, which could be harmful to the human workers themselves. So, in such instances, robots play a significant role in executing manufacturing operations. Robotics' increasing application in production is transforming it into a necessary component of industrial processes in the future. According to Mordorintelligence's study, the robots industry was worth USD 27.73 billion in 2020 and is predicted to reach USD 74.1 billion by 2026, growing at a CAGR of 17.45 percent between 2021 and 2026. Benefits of Robotics Increased productivity when compared to traditional manufacturing Consistent speed and quality during goods production Increased workplace safety for all employees at the manufacturing plant Aids in more efficient use of floor space Internet of Things The Internet of Things allows devices to interconnect with one another and exchange data. The IoT connects assets to processes, systems, and people in manufacturing. This enables improved process integration, increased efficiency, and the advancement of manufacturing to the next transformation phase, Industry 4.0. According to Mordorintelligence's market research, the global IoT market is estimated to reach USD 1,386.06 billion in 2026, up from USD 761.4 billion in 2020, a CAGR of 10.53 percent over the forecast period of 2021 to 2026. Benefits of Internet of Things It contributes to increased energy efficiency by identifying and optimizing underperforming devices It monitors all processes and parameters to determine when to replace specific components It improves product quality by analyzing and correcting issues at any stage of the manufacturing process It reduces downtime by detecting and alerting production line personnel to problems It enables more informed decision-making by unlocking Virtual Reality Virtual reality enables plant managers to mimic manufacturing processes and assembly line layouts to discover potentially harmful scenarios. Additionally, virtual reality can immerse an employee in a future workstation and then capture their movement to assess task feasibility and proficiency. As a result, the usage of virtual reality in manufacturing is increasing daily and is widely seen as the industry's future. According to market research firm markets and markets, the worldwide virtual reality industry is estimated to rise by USD 20.9 billion by 2025, expanding at a 27.9 percent compound annual growth rate from 2020 to 2025. Benefits of Virtual Reality Enables a more thorough examination of the product's design Enables the gathering of feedback on future items before they are launched in the real world Final Words In recent years, advanced manufacturing technology has helped the manufacturing industry become more efficient, precise, and goal-oriented. As a result, manufacturers are eager to upgrade their current manufacturing facilities to state-of-the-art facilities. As a result, manufacturing companies would become more competitive and an integral industry component if they implement cutting-edge technologies. FAQs How do you define advanced manufacturing? Product and process improvement through inventive use of new technology is called advanced manufacturing. Which sectors are utilizing cutting-edge technology? Aerospace, Medical, Electronics, Transportation, Energy, and Consumer Product Production Companies are the top businesses or sectors that use cutting-edge technologies with sophisticated manufacturing. What is the difference between conventional manufacturing and advanced manufacturing? Traditional manufacturing adds value to attain the goal. Traditional manufacturing adds value to attain the goal. But, on the other hand, advanced manufacturing covers production methods in specific industries like aerospace, medical, pharmaceutical, etc.

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From Concept to Use Cases: Big Data Analytics in Manufacturing

Article | March 7, 2022

Big data analytics in manufacturing is all you need to improve your business's efficiency, quality, and productivity in today's data-driven industry. It helps you transform your business data into actionable analytics to make informed decisions on business processes and operations. “Data is the new science. Big data holds the answers.” – Pat Gelsinger, CEO at VMware The significance of manufacturing industry data analysis is critical, and many manufacturers have recognized this and have started incorporating it into their manufacturing operations. According to Research and Markets, the manufacturing sector market was worth $904.65 million in 2019 and is predicted to grow to $4.55 billion by 2025. In this article, we'll look at the importance of big data in manufacturing, its applications, and how some of the industry's major players are incorporating it into their manufacturing processes and operations. Why Do Manufacturers Need Big Data? Big data analytics in manufacturing helps manufacturers find new information and identify trends. This enables them to improve operations, increase supply chain efficiency, and identify variables that affect production. Many leaders from the manufacturing industry recognize the importance of big data and have either started applying it to their business or are planning to do so. According to a KRC research report, 67% of manufacturing executives considered investing in manufacturing data analytics, especially in the face of pressure to minimize costs in this volatile market. According to MicroStrategy, 59% of organizations worldwide are using big data analytics. Big Data: From the Past to the Future Herman Hollerith invented the first punch card tabulating machine that marked the foundation of data processing. Hollerith's tabulating device was utilized to process data from the 1890 United States Census. Later that year, in 1911, he formed the Computing-Tabulating-Recording Company, which evolved into IBM. It is now based in Armonk, New York, with operations in more than 171 countries. This international corporation develops computer hardware, software, and middleware, and provides hosting and consulting services in different sectors, ranging from mainframe computers to nanotechnology. The company is a significant research institution that has set the bar for the number of U.S. patents generated annually by a firm for the last 28 years (as of 2020). Companies Using Big Data Analytics Amazon The enormous benefit of big data is its capacity to assist businesses in innovating and redeveloping their products. Essentially, big data has evolved to generate additional revenue streams by enabling innovations and product development. Before developing new product lines or redesigning old products, organizations begin by fixing as much data as possible. How does Amazon make use of big data? Most people are familiar with Amazon Fresh and Whole Foods Market. This is an excellent illustration of how big data can benefit the growth of innovation and product creation. Amazon uses big data analytics to get a foothold in a vast market. Amazon's experience in data-driven logistics enables the creation and achievement of more value. By focusing on manufacturing analytics, Amazon Whole Foods deciphers how customers purchase products and how suppliers engage with the store. PepsiCo Big data enables supplier networks to operate with increased precision, clarity, and insight. Suppliers achieve contextual insight throughout supply chains by utilizing manufacturing data analysis. Essentially, providers can overcome previous limitations using big data analytics. How does PepsiCo leverage big data to optimize its supply chain? PepsiCo is a consumer packaged goods company that depends mainly on massive amounts of data to operate its supply chain efficiently. The organization is committed to restocking the shelves of shops with the proper quantities and varieties of products. Clients give reports on their warehouse and point-of-sale inventory, which the company uses to reconcile and estimate production and shipment requirements. This way, the corporation guarantees that shops have the appropriate products, in the appropriate quantities, and at the appropriate times. Read our latest infographic to learn more about increasing the efficiency of your manufacturing business. Big Data in Manufacturing: Use Cases Supply Chain Management Big data allows manufacturers to track their products' actual position. The ability to track is one of the most important features offered by big data to manufacturers. Traceability is important since many products released by manufacturers are lost or hard to trace. Barcode scanners and radio frequency transmission equipment can set up a parcel's coordinates. These devices broadcast the product's location, pinpointing its exact location. Identifying client needs is a challenge when predicting market trends. Big data assists by predicting client requests and assisting with product delivery timings. This type of forecasting can help businesses improve their profits and workforce by looking at their supply chain. Production Management Once businesses have discovered market requirements, the same analytics for manufacturing can assist them in evaluating the volume of products necessary in the market. Previously, when big data analytics did not exist, businesses relied on human estimates, which frequently resulted in excess or insufficient production. This technique has been deemed obsolete because of its inaccuracy. Instead, organizations gain intuitive insights from the data they collect and analyze using big data analytics for manufacturing. Machine Maintenance When a company manufactures something, it intends to maintain its machinery, from how it currently runs to what changes are required to keep it working properly. These robots' sensors may continuously collect data. Device data helps firms determine when and how much maintenance a machine needs. Big data analytics can help manufacturers keep track of their machinery by assessing and improving their efficiency. Daily Production For a company to run properly, they must monitor their daily activities, production capacity, and financial performance. Big data analytics can help manufacturing organizations by giving intuitive insights from numerous sources. These sources include operating machines, databases tracking unit production, and employee records. This data can help corporations make profitable improvements. Quality Assessment Quality control is important in manufacturing since the products must be of the highest quality. Big data analytics can also help here by providing vital information about any changes in the development process. Businesses recognize the need to utilize technological breakthroughs as manufacturing transforms. Big data analytics helps enterprises not only track and forecast market demands but also maintain quality measurements and standards. This ensures product quality and increases profitability for a manufacturer's products. Final Word We understand the significance of big data in manufacturing, and the sooner you start collecting data on your manufacturing processes, the sooner you can implement the latest advancements. Therefore, delve further into big data, data analytics, and data science services to assist your manufacturing organization in growing and blooming to the next level. FAQ Is data science the same as big data? No, data science and big data are not synonymous. Big data collects varied and complicated data, whereas data science is a multidisciplinary area that tries to generate broader insights from data. What purpose does data serve in manufacturing? Manufacturing data provides a deeper insight into market trends, a complete grasp of client needs, and predicts future trends. In a nutshell, it includes everything necessary for manufacturing companies to maintain a competitive edge. How are manufacturing data defined? Manufacturing data refers to all data, information, materials, and documentation developed or generated in connection with the product’s manufacturing. This includes manufacturing and control data as well as additional data and documentation requested by or submitted to a Regulatory Authority.

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Wireless AGVs May Prove Most Important ProMatDX Innovation

Article | April 1, 2021

April 12 -15 ProMatDX, the largest material handling event, will take place virtually. It will feature dozens of AGV vendors. Sadly, some of these highly innovating products still need to be plugged-in to capture power. No more. Wiferion in process charging eliminates the plug-in charging making AGVs truly autonomous. In process charging eliminates the waste of AGV downtime – the fleet is always working AND charging. In process charging is safe ensuring the OSHA, ergonomics, and danger to workers significantly reduced. In process charging is cost-efficient because full vehicle deployment means a reduced fleet count ensuring a rapid ROI. For OEMs of AGVs and industrial trucks implementing inductive charging technology solves the wear and tear issues caused by conventional charging methods as well as making vehicles fully autonomous. For end-users of AGVs and industrial trucks, inductive charging in combination with lithium batteries can improve fleet availability by more than 30%. Whether driverless transport systems (AGVs), electric forklifts, or mobile robots (AMRs), the efficient use of industrial trucks is a decisive factor for competitiveness during ever- increasing cost pressures. The energy systems are being scrutinized and lithium-ion batteries are the preferred technology. The advantages versus lead-acid batteries (including the ability to recharge faster and more often) are obvious. Until now the full potential of storage technology has not been fully realized.

Read More
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Advanced Manufacturing: Be Competitive in 2022

Article | November 1, 2021

Manufacturing processes will undergo significant transformation in 2022 as a result of advanced manufacturing technology. The changing manufacturing industry is full of digitization to improve processes, products, productivity, and business revenue. Manufacturers must realize the advantages of advanced manufacturing and learn to enhance their production processes to increase their manufacturing plant's productivity. Once you understand the heart of your business and where to integrate technology, you're halfway to success. The manufacturing industry's top professionals have also recognized the technology shift and are supporting upskilling in the manufacturing business. Mr. Matt Mong has said in his interview with Media7, “Once you start to look at yourself in the right way and realize that projects are at the core of your business, it is easy to see how you should use technology to support your business.” – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca Importance of Advanced Manufacturing Adopting innovative manufacturing technologies has several advantages that grow its acceptance and relevance among manufacturers across industries. The following are the most significant advantages of advanced manufacturing. Amplifying the product and process quality Improvement in productivity Encourages new ways to innovation Decreases production time Considering the factors above that contribute to the production process becoming more efficient, productive, and revenue-generating, advanced manufacturing will continue to dominate the manufacturing business in 2022. Top Five Technologies That Are Advancing Manufacturing in 2022 To better understand the current trends in manufacturing technology, let us comprehend the technologies that are advancing the manufacturing industry. Additionally, discover how these technologies help manufacturers to advance their manufacturing processes. Cloud Computing Cloud computing in manufacturing is used for marketing, product development, inventory management, and productivity management. It stores software and commercial data via internet connections. Cloud computing is becoming a prevalent technology because it enables manufacturers to improve communication and manage the entire production cycle effectively. According to MarketsandMarkets' study, the global cloud computing market will also increase to 832.1 billion dollars by 2025, growing at a 17.5 percent annual rate in the following years. Benefits of Cloud Computing Fewer technical issues when compared to traditional software use Cost savings because no in-house servers are required Cloud computing enables easy scalability for your developing firm Cloud computing provides centralized control and access from any device How did McDonald's use AWS cloud computing services to transform their customer service? Additive Manufacturing Additive manufacturing enables the fabrication of lighter, more sophisticated designs that would be impossible or prohibitively expensive to fabricate using conventional dies, molds, milling, and machining techniques. Rapid prototyping is another area where additive manufacturing thrives. As a result, it is gaining a grip in the manufacturing business. According to Statista's market research, the additive manufacturing industry is worth approximately 12.6 billion US dollars in 2020 and is predicted to increase at a compound annual growth rate of 17% until 2023. Benefits of Additive Manufacturing Reduces material waste Simplifies manufacturing processes Additive manufacturing enables on-demand production Increases supply chain flexibility The finished product can be made close to the end customer Robotics Robots are used in manufacturing to automate repetitive tasks, resulting in a more efficient assembly line. Humans and robots work together on a variety of things as well during the production of various products. Many jobs are hazardous or necessitate many supplies, which could be harmful to the human workers themselves. So, in such instances, robots play a significant role in executing manufacturing operations. Robotics' increasing application in production is transforming it into a necessary component of industrial processes in the future. According to Mordorintelligence's study, the robots industry was worth USD 27.73 billion in 2020 and is predicted to reach USD 74.1 billion by 2026, growing at a CAGR of 17.45 percent between 2021 and 2026. Benefits of Robotics Increased productivity when compared to traditional manufacturing Consistent speed and quality during goods production Increased workplace safety for all employees at the manufacturing plant Aids in more efficient use of floor space Internet of Things The Internet of Things allows devices to interconnect with one another and exchange data. The IoT connects assets to processes, systems, and people in manufacturing. This enables improved process integration, increased efficiency, and the advancement of manufacturing to the next transformation phase, Industry 4.0. According to Mordorintelligence's market research, the global IoT market is estimated to reach USD 1,386.06 billion in 2026, up from USD 761.4 billion in 2020, a CAGR of 10.53 percent over the forecast period of 2021 to 2026. Benefits of Internet of Things It contributes to increased energy efficiency by identifying and optimizing underperforming devices It monitors all processes and parameters to determine when to replace specific components It improves product quality by analyzing and correcting issues at any stage of the manufacturing process It reduces downtime by detecting and alerting production line personnel to problems It enables more informed decision-making by unlocking Virtual Reality Virtual reality enables plant managers to mimic manufacturing processes and assembly line layouts to discover potentially harmful scenarios. Additionally, virtual reality can immerse an employee in a future workstation and then capture their movement to assess task feasibility and proficiency. As a result, the usage of virtual reality in manufacturing is increasing daily and is widely seen as the industry's future. According to market research firm markets and markets, the worldwide virtual reality industry is estimated to rise by USD 20.9 billion by 2025, expanding at a 27.9 percent compound annual growth rate from 2020 to 2025. Benefits of Virtual Reality Enables a more thorough examination of the product's design Enables the gathering of feedback on future items before they are launched in the real world Final Words In recent years, advanced manufacturing technology has helped the manufacturing industry become more efficient, precise, and goal-oriented. As a result, manufacturers are eager to upgrade their current manufacturing facilities to state-of-the-art facilities. As a result, manufacturing companies would become more competitive and an integral industry component if they implement cutting-edge technologies. FAQs How do you define advanced manufacturing? Product and process improvement through inventive use of new technology is called advanced manufacturing. Which sectors are utilizing cutting-edge technology? Aerospace, Medical, Electronics, Transportation, Energy, and Consumer Product Production Companies are the top businesses or sectors that use cutting-edge technologies with sophisticated manufacturing. What is the difference between conventional manufacturing and advanced manufacturing? Traditional manufacturing adds value to attain the goal. Traditional manufacturing adds value to attain the goal. But, on the other hand, advanced manufacturing covers production methods in specific industries like aerospace, medical, pharmaceutical, etc.

Read More
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From Concept to Use Cases: Big Data Analytics in Manufacturing

Article | March 7, 2022

Big data analytics in manufacturing is all you need to improve your business's efficiency, quality, and productivity in today's data-driven industry. It helps you transform your business data into actionable analytics to make informed decisions on business processes and operations. “Data is the new science. Big data holds the answers.” – Pat Gelsinger, CEO at VMware The significance of manufacturing industry data analysis is critical, and many manufacturers have recognized this and have started incorporating it into their manufacturing operations. According to Research and Markets, the manufacturing sector market was worth $904.65 million in 2019 and is predicted to grow to $4.55 billion by 2025. In this article, we'll look at the importance of big data in manufacturing, its applications, and how some of the industry's major players are incorporating it into their manufacturing processes and operations. Why Do Manufacturers Need Big Data? Big data analytics in manufacturing helps manufacturers find new information and identify trends. This enables them to improve operations, increase supply chain efficiency, and identify variables that affect production. Many leaders from the manufacturing industry recognize the importance of big data and have either started applying it to their business or are planning to do so. According to a KRC research report, 67% of manufacturing executives considered investing in manufacturing data analytics, especially in the face of pressure to minimize costs in this volatile market. According to MicroStrategy, 59% of organizations worldwide are using big data analytics. Big Data: From the Past to the Future Herman Hollerith invented the first punch card tabulating machine that marked the foundation of data processing. Hollerith's tabulating device was utilized to process data from the 1890 United States Census. Later that year, in 1911, he formed the Computing-Tabulating-Recording Company, which evolved into IBM. It is now based in Armonk, New York, with operations in more than 171 countries. This international corporation develops computer hardware, software, and middleware, and provides hosting and consulting services in different sectors, ranging from mainframe computers to nanotechnology. The company is a significant research institution that has set the bar for the number of U.S. patents generated annually by a firm for the last 28 years (as of 2020). Companies Using Big Data Analytics Amazon The enormous benefit of big data is its capacity to assist businesses in innovating and redeveloping their products. Essentially, big data has evolved to generate additional revenue streams by enabling innovations and product development. Before developing new product lines or redesigning old products, organizations begin by fixing as much data as possible. How does Amazon make use of big data? Most people are familiar with Amazon Fresh and Whole Foods Market. This is an excellent illustration of how big data can benefit the growth of innovation and product creation. Amazon uses big data analytics to get a foothold in a vast market. Amazon's experience in data-driven logistics enables the creation and achievement of more value. By focusing on manufacturing analytics, Amazon Whole Foods deciphers how customers purchase products and how suppliers engage with the store. PepsiCo Big data enables supplier networks to operate with increased precision, clarity, and insight. Suppliers achieve contextual insight throughout supply chains by utilizing manufacturing data analysis. Essentially, providers can overcome previous limitations using big data analytics. How does PepsiCo leverage big data to optimize its supply chain? PepsiCo is a consumer packaged goods company that depends mainly on massive amounts of data to operate its supply chain efficiently. The organization is committed to restocking the shelves of shops with the proper quantities and varieties of products. Clients give reports on their warehouse and point-of-sale inventory, which the company uses to reconcile and estimate production and shipment requirements. This way, the corporation guarantees that shops have the appropriate products, in the appropriate quantities, and at the appropriate times. Read our latest infographic to learn more about increasing the efficiency of your manufacturing business. Big Data in Manufacturing: Use Cases Supply Chain Management Big data allows manufacturers to track their products' actual position. The ability to track is one of the most important features offered by big data to manufacturers. Traceability is important since many products released by manufacturers are lost or hard to trace. Barcode scanners and radio frequency transmission equipment can set up a parcel's coordinates. These devices broadcast the product's location, pinpointing its exact location. Identifying client needs is a challenge when predicting market trends. Big data assists by predicting client requests and assisting with product delivery timings. This type of forecasting can help businesses improve their profits and workforce by looking at their supply chain. Production Management Once businesses have discovered market requirements, the same analytics for manufacturing can assist them in evaluating the volume of products necessary in the market. Previously, when big data analytics did not exist, businesses relied on human estimates, which frequently resulted in excess or insufficient production. This technique has been deemed obsolete because of its inaccuracy. Instead, organizations gain intuitive insights from the data they collect and analyze using big data analytics for manufacturing. Machine Maintenance When a company manufactures something, it intends to maintain its machinery, from how it currently runs to what changes are required to keep it working properly. These robots' sensors may continuously collect data. Device data helps firms determine when and how much maintenance a machine needs. Big data analytics can help manufacturers keep track of their machinery by assessing and improving their efficiency. Daily Production For a company to run properly, they must monitor their daily activities, production capacity, and financial performance. Big data analytics can help manufacturing organizations by giving intuitive insights from numerous sources. These sources include operating machines, databases tracking unit production, and employee records. This data can help corporations make profitable improvements. Quality Assessment Quality control is important in manufacturing since the products must be of the highest quality. Big data analytics can also help here by providing vital information about any changes in the development process. Businesses recognize the need to utilize technological breakthroughs as manufacturing transforms. Big data analytics helps enterprises not only track and forecast market demands but also maintain quality measurements and standards. This ensures product quality and increases profitability for a manufacturer's products. Final Word We understand the significance of big data in manufacturing, and the sooner you start collecting data on your manufacturing processes, the sooner you can implement the latest advancements. Therefore, delve further into big data, data analytics, and data science services to assist your manufacturing organization in growing and blooming to the next level. FAQ Is data science the same as big data? No, data science and big data are not synonymous. Big data collects varied and complicated data, whereas data science is a multidisciplinary area that tries to generate broader insights from data. What purpose does data serve in manufacturing? Manufacturing data provides a deeper insight into market trends, a complete grasp of client needs, and predicts future trends. In a nutshell, it includes everything necessary for manufacturing companies to maintain a competitive edge. How are manufacturing data defined? Manufacturing data refers to all data, information, materials, and documentation developed or generated in connection with the product’s manufacturing. This includes manufacturing and control data as well as additional data and documentation requested by or submitted to a Regulatory Authority.

Read More

Maximize Efficiencies With Overall Equipment Effectiveness (OEE) Software

Article | August 20, 2020

A leading plastics global plastics manufacturer has standardized on Overall Equipment Effectiveness (OEE) as one of their primary metrics based on its proven value in stabilizing every production machine on their shop floor. An injection molding manufacturer was able to increase OEE performance by 7% in three months, increasing gross profit by $1.2M across six production plants globally. Attaining an OEE score in the 80 to 85% range is widely considered to reflect a world-class manufacturing operation, according to Gartner.

Read More
MORE ARTICLE

Spotlight

Adcole LLC

Adcole LLC is the world leader in the Cylindrical Coordinate Measuring Machine (CCMM) Industry. With roots dating back to 1957, the company provides the most accurate gaging solutions for automated measurements of camshafts, crankshafts and other high precision cylindrical components. From its headquarters in Marlborough, MA, the company ships to every major automotive manufacturer and tier-1 supplier across the globe and is valued for “trusted accuracy”,— making Adcole gages the world standard in the industry.

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ACL Digital with Tidal Wave to Drive Industry 4.0 Transformation

ACL Digital | October 09, 2023

•The agreement will integrate both organizations' key expertise to create private 5G solutions with lightning-fast speeds, URLLC, and mMTC. •The alliance is committed to providing personalized 5G solutions for manufacturing, healthcare, automotive, and other industries. •With operations on different continents, the joint offerings will benefit businesses worldwide, assuring local regulatory compliance and regional adaptation. •The cooperation provides advanced 5G infrastructure, consultancy, deployment, maintenance, and continual upgrades. ACL Digital and Tidal Wave have joined forces to establish a private 5G alliance aimed at advancing Industry 4.0 transformations. The partnership seeks to empower businesses with cutting-edge private 5G technology, enhancing operations and productivity across telecom and enterprise verticals. This alliance leverages ACL Digital's digital transformation and system integration expertise with Tidal Wave's private 5G knowledge to offer tailored solutions for connected factories, smart ports, industrial automation, and more. The collaboration will focus on delivering solutions for connected factories and warehouses, smart ports, smart manufacturing, industrial automation, real-time asset tracking remote monitoring and control. This partnership will extend to every region of the world, ensuring local compliance with regulations and allowing for regional adaptation. Its goal is to ensure compatibility and confident deployment of private 5G systems while delivering comprehensive engineering solutions and client support. Ramandeep Singh, CEO of ACL Digital, remarked that through their collaboration with Tidal Wave, they were initiating a journey into the changing realm of private 5G. He noted that the combination of ACL Digital's system integration capabilities and Tidal Wave's expertise would mark the beginning of a fresh phase in network transformation for their clients. Ramandeep highlighted that this alliance positioned them to lead global digital transformation initiatives, leveraging the significant potential of 5G to enhance various industries by adopting private networks. He added that this partnership would empower customers to improve their operations and productivity using the latest 5G technologies. Ankit Dixit, CEO of Tidal Wave, conveyed that in ACL Digital, they had found a partner who not only shared their forward-looking vision and practical approach to an interconnected industrial future but also effectively complemented their strengths. He mentioned that this collaboration established a new standard for innovative product offerings and a robust framework for execution and support. Ankit emphasized that the intricate customization required for implementing private 5G networks called for seamless cooperation between their two organizations, and he noted that this partnership operated exceptionally well between both entities.

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Industrial 4.0

Telit Cinterion and Nestlé Brazil Partner on Private 5G for Industry 4.0 Factory Automation

PR Newswire | August 24, 2023

Telit Cinterion, a global enabler of the intelligent edge, today announced completion of a successful proof-of-concept trial of private 5G for factory automation. Conducted in partnership with Nestlé Brazil, the trial showcases why and how manufacturers are increasingly making 5G a foundational component of their Industry 4.0 transformation strategies. Many manufacturers are considering or already implementing 5G, including private 5G networks, a global trend that will be worth $109 billion by 2030. Nestlé conducted the trial at Parque Tecnologico São José dos Campos, a government-sponsored research park where it is one of the resident companies exploring next-generation technologies and business processes. The trial focused on how Nestlé could use 5G to connect autonomous manufacturing robots and automated guided vehicles at their plants like the one in Caçapava, Brazil. The trial used the Telit Cinterion 5G FT980-WW evaluation kit, which features the FN980 module. Based on the 3GPP Rel. 15 standard, the FN980m supports all major 5G frequency bands, giving private networks maximum deployment flexibility. The Nestlé trial focused on the use of sub-6 GHz spectrum. "Telit Cinterion has been a partner of Nestlé since we began conducting the first tests using 5G technology at Nestlé's Innovation and Technology Center (CIT) at the São José dos Campos Technology Park. We are very pleased with this unprecedented joint work, which is so important for the national industry," explained Gustavo Moura, Digital Transformation Program Manager for Operations at Nestlé Brazil. "Nestlé Brazil is one of several recent Latin America 5G factory automation trials that Telit Cinterion has been part of, which shows that manufacturers across the region see 5G as key for ensuring the success of their Industry 4.0 migration," said Neset Yalcinkaya, SVP Sales Americas at Telit Cinterion. "This successful trial also is the latest example of how manufacturers, systems integrators, and others turn to Telit Cinterion for private 5G factory automation and PoC trials." About Telit Cinterion Telit Cinterion is a global enabler of the intelligent edge providing complete solutions that reduce time to market and costs, delivering custom designed, ready for market connected devices in addition to maintaining the industry's broadest portfolio of enterprise-grade wireless communication and positioning modules, cellular MVNO connectivity plans and management services, edge-cloud software and data orchestration, and IoT and Industrial IoT platforms. As the largest western provider pioneering IoT innovation, Telit Cinterion delivers award-winning and highly secure IoT solutions, modules and services for the industry's top brands.

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Industrial Data

Sight Machine Factory CoPilot Democratizes Industrial Data With Generative AI

Globenewswire | July 28, 2023

Sight Machine Inc. today announced the release of Factory CoPilot, democratizing industrial data through the power of generative artificial intelligence. By integrating Sight Machine’s Manufacturing Data Platform with Microsoft Azure OpenAI Service, Factory CoPilot brings unprecedented ease of access to manufacturing problem solving, analysis and reporting. Using a natural language user interface similar to ChatGPT, Factory CoPilot offers an intuitive, “ask the expert” experience for all manufacturing stakeholders, regardless of data proficiency. In response to a single question, Factory CoPilot can automatically summarize all relevant data and information about production in real-time (e.g., for daily meetings) and generate user-friendly reports, emails, charts and other content (in any language) about the performance of any machine, line or plant across the manufacturing enterprise, based on contextualized data in the Sight Machine platform. Factory CoPilot guides users through root cause analysis and drill-down investigation for faster diagnosis of issues. Streaming data from across machines, lines and plants enables continuous system-wide analysis and insights, identifying the causes of unplanned downtime, slow-running machines or quality issues, and enabling continuous manufacturing process improvement. Factory CoPilot empowers team members with real-time results and insights from production queries, such as KPI reporting, performance comparisons, trend and correlation analyses, data source availability reports, and recommendations on optimal settings and production recipes. “Sight Machine’s Manufacturing Data Platform has been a critical part of IPG’s success in using data to continuously improve and scale manufacturing productivity. We value Sight Machine’s leadership in bringing generative AI to manufacturing together with Microsoft,” said Jai Sundararaman, Chief Transformation Officer leading Innovation & Digital Transformation, Intertape Polymer Group Inc. (IPG). “Factory CoPilot has the potential to dramatically expand the reach and impact of our data-driven transformation initiatives, empowering our front-line with easy to use tools and valuable insights to enhance decision making and operations.” Sight Machine’s Manufacturing Data Platform Offers A Single Source of Truth on Production The power of Factory CoPilot is based on its integration with Sight Machine’s Manufacturing Data Platform (MDP), which captures the entire manufacturing process in a single, secure industrial data foundation, contextualizing all plant data and incorporating data from all sensors, machines, lines and plants operated by a company. MDP automates the process of blending and transforming streaming data from all manufacturing data sources, enabling system-level understanding of production, and uses AI to continuously enrich the data foundation with new levels of insight. Because Factory CoPilot draws its information from the fully contextualized data foundation that Sight Machine’s platform creates for each manufacturing customer, users can be confident that the results are complete and accurate, without worrying about the “hallucinations” that generative AI systems can invent when they lack real data. All generative output is backed by validated source references to increase trust and empower confidence, enabling a bias for action. At all times, the underlying data and generated results are protected and remain secure, exclusively available within each customer's managed Azure environment. “Generative AI has immense potential in manufacturing, but AI can’t work with raw factory data,” said Sight Machine CEO and Co-Founder Jon Sobel. “In order to transform manufacturing in a way that is scalable, affordable and manageable, AI needs the fully contextualized data that Sight Machine’s universal data foundation provides. We look forward to working closely with clients and our partners at Microsoft to make this technology widely available.” Sight Machine’s integration of Microsoft Azure OpenAI Service continues a multi-year collaboration that helps manufacturers around the world transform their business and unlock new levels of productivity and sustainability with leading cloud, data and AI-powered technology. On July 18, Sight Machine was certified as a launch partner for Microsoft Cloud for Manufacturing, and in October 2022, Sight Machine introduced Sight Machine Blueprint, developed in collaboration with NVIDIA and Microsoft, which uses AI for high-speed, automated data labeling, enabling manufacturers to analyze up to 100x more of their data. “Microsoft and its ecosystem are committed to Industrial Metaverse and making the deep investments needed to support global industry transformation,” said Çağlayan Arkan, Vice President, Global Sales Lead, Industrial Metaverse Strategy and Sales, Manufacturing and Supply Chain at Microsoft. “We are proud to collaborate and innovate with Sight Machine as together we bring practical, useful solutions to the world’s factories and plants.” About Sight Machine Sight Machine helps Global 500 Manufacturers unlock the power of industrial data to increase profitability, productivity, and sustainability. Purpose-built for manufacturing, Sight Machine’s Manufacturing Data Platform creates a common data foundation and utilizes AI/ML to support real-time decision making. Through a data-first approach, Sight Machine captures and contextualizes data from the entire factory to deliver a systemwide view of the end-to-end manufacturing process. Data becomes democratized, empowering all stakeholders — from executives to plant managers and operators — to drive and scale productivity improvements across the enterprise. Founded by a team with deep manufacturing industry expertise, Sight Machine has offices in San Francisco and Ann Arbor, Mich.

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Industrial 4.0

ACL Digital with Tidal Wave to Drive Industry 4.0 Transformation

ACL Digital | October 09, 2023

•The agreement will integrate both organizations' key expertise to create private 5G solutions with lightning-fast speeds, URLLC, and mMTC. •The alliance is committed to providing personalized 5G solutions for manufacturing, healthcare, automotive, and other industries. •With operations on different continents, the joint offerings will benefit businesses worldwide, assuring local regulatory compliance and regional adaptation. •The cooperation provides advanced 5G infrastructure, consultancy, deployment, maintenance, and continual upgrades. ACL Digital and Tidal Wave have joined forces to establish a private 5G alliance aimed at advancing Industry 4.0 transformations. The partnership seeks to empower businesses with cutting-edge private 5G technology, enhancing operations and productivity across telecom and enterprise verticals. This alliance leverages ACL Digital's digital transformation and system integration expertise with Tidal Wave's private 5G knowledge to offer tailored solutions for connected factories, smart ports, industrial automation, and more. The collaboration will focus on delivering solutions for connected factories and warehouses, smart ports, smart manufacturing, industrial automation, real-time asset tracking remote monitoring and control. This partnership will extend to every region of the world, ensuring local compliance with regulations and allowing for regional adaptation. Its goal is to ensure compatibility and confident deployment of private 5G systems while delivering comprehensive engineering solutions and client support. Ramandeep Singh, CEO of ACL Digital, remarked that through their collaboration with Tidal Wave, they were initiating a journey into the changing realm of private 5G. He noted that the combination of ACL Digital's system integration capabilities and Tidal Wave's expertise would mark the beginning of a fresh phase in network transformation for their clients. Ramandeep highlighted that this alliance positioned them to lead global digital transformation initiatives, leveraging the significant potential of 5G to enhance various industries by adopting private networks. He added that this partnership would empower customers to improve their operations and productivity using the latest 5G technologies. Ankit Dixit, CEO of Tidal Wave, conveyed that in ACL Digital, they had found a partner who not only shared their forward-looking vision and practical approach to an interconnected industrial future but also effectively complemented their strengths. He mentioned that this collaboration established a new standard for innovative product offerings and a robust framework for execution and support. Ankit emphasized that the intricate customization required for implementing private 5G networks called for seamless cooperation between their two organizations, and he noted that this partnership operated exceptionally well between both entities.

Read More

Industrial 4.0

Telit Cinterion and Nestlé Brazil Partner on Private 5G for Industry 4.0 Factory Automation

PR Newswire | August 24, 2023

Telit Cinterion, a global enabler of the intelligent edge, today announced completion of a successful proof-of-concept trial of private 5G for factory automation. Conducted in partnership with Nestlé Brazil, the trial showcases why and how manufacturers are increasingly making 5G a foundational component of their Industry 4.0 transformation strategies. Many manufacturers are considering or already implementing 5G, including private 5G networks, a global trend that will be worth $109 billion by 2030. Nestlé conducted the trial at Parque Tecnologico São José dos Campos, a government-sponsored research park where it is one of the resident companies exploring next-generation technologies and business processes. The trial focused on how Nestlé could use 5G to connect autonomous manufacturing robots and automated guided vehicles at their plants like the one in Caçapava, Brazil. The trial used the Telit Cinterion 5G FT980-WW evaluation kit, which features the FN980 module. Based on the 3GPP Rel. 15 standard, the FN980m supports all major 5G frequency bands, giving private networks maximum deployment flexibility. The Nestlé trial focused on the use of sub-6 GHz spectrum. "Telit Cinterion has been a partner of Nestlé since we began conducting the first tests using 5G technology at Nestlé's Innovation and Technology Center (CIT) at the São José dos Campos Technology Park. We are very pleased with this unprecedented joint work, which is so important for the national industry," explained Gustavo Moura, Digital Transformation Program Manager for Operations at Nestlé Brazil. "Nestlé Brazil is one of several recent Latin America 5G factory automation trials that Telit Cinterion has been part of, which shows that manufacturers across the region see 5G as key for ensuring the success of their Industry 4.0 migration," said Neset Yalcinkaya, SVP Sales Americas at Telit Cinterion. "This successful trial also is the latest example of how manufacturers, systems integrators, and others turn to Telit Cinterion for private 5G factory automation and PoC trials." About Telit Cinterion Telit Cinterion is a global enabler of the intelligent edge providing complete solutions that reduce time to market and costs, delivering custom designed, ready for market connected devices in addition to maintaining the industry's broadest portfolio of enterprise-grade wireless communication and positioning modules, cellular MVNO connectivity plans and management services, edge-cloud software and data orchestration, and IoT and Industrial IoT platforms. As the largest western provider pioneering IoT innovation, Telit Cinterion delivers award-winning and highly secure IoT solutions, modules and services for the industry's top brands.

Read More

Industrial Data

Sight Machine Factory CoPilot Democratizes Industrial Data With Generative AI

Globenewswire | July 28, 2023

Sight Machine Inc. today announced the release of Factory CoPilot, democratizing industrial data through the power of generative artificial intelligence. By integrating Sight Machine’s Manufacturing Data Platform with Microsoft Azure OpenAI Service, Factory CoPilot brings unprecedented ease of access to manufacturing problem solving, analysis and reporting. Using a natural language user interface similar to ChatGPT, Factory CoPilot offers an intuitive, “ask the expert” experience for all manufacturing stakeholders, regardless of data proficiency. In response to a single question, Factory CoPilot can automatically summarize all relevant data and information about production in real-time (e.g., for daily meetings) and generate user-friendly reports, emails, charts and other content (in any language) about the performance of any machine, line or plant across the manufacturing enterprise, based on contextualized data in the Sight Machine platform. Factory CoPilot guides users through root cause analysis and drill-down investigation for faster diagnosis of issues. Streaming data from across machines, lines and plants enables continuous system-wide analysis and insights, identifying the causes of unplanned downtime, slow-running machines or quality issues, and enabling continuous manufacturing process improvement. Factory CoPilot empowers team members with real-time results and insights from production queries, such as KPI reporting, performance comparisons, trend and correlation analyses, data source availability reports, and recommendations on optimal settings and production recipes. “Sight Machine’s Manufacturing Data Platform has been a critical part of IPG’s success in using data to continuously improve and scale manufacturing productivity. We value Sight Machine’s leadership in bringing generative AI to manufacturing together with Microsoft,” said Jai Sundararaman, Chief Transformation Officer leading Innovation & Digital Transformation, Intertape Polymer Group Inc. (IPG). “Factory CoPilot has the potential to dramatically expand the reach and impact of our data-driven transformation initiatives, empowering our front-line with easy to use tools and valuable insights to enhance decision making and operations.” Sight Machine’s Manufacturing Data Platform Offers A Single Source of Truth on Production The power of Factory CoPilot is based on its integration with Sight Machine’s Manufacturing Data Platform (MDP), which captures the entire manufacturing process in a single, secure industrial data foundation, contextualizing all plant data and incorporating data from all sensors, machines, lines and plants operated by a company. MDP automates the process of blending and transforming streaming data from all manufacturing data sources, enabling system-level understanding of production, and uses AI to continuously enrich the data foundation with new levels of insight. Because Factory CoPilot draws its information from the fully contextualized data foundation that Sight Machine’s platform creates for each manufacturing customer, users can be confident that the results are complete and accurate, without worrying about the “hallucinations” that generative AI systems can invent when they lack real data. All generative output is backed by validated source references to increase trust and empower confidence, enabling a bias for action. At all times, the underlying data and generated results are protected and remain secure, exclusively available within each customer's managed Azure environment. “Generative AI has immense potential in manufacturing, but AI can’t work with raw factory data,” said Sight Machine CEO and Co-Founder Jon Sobel. “In order to transform manufacturing in a way that is scalable, affordable and manageable, AI needs the fully contextualized data that Sight Machine’s universal data foundation provides. We look forward to working closely with clients and our partners at Microsoft to make this technology widely available.” Sight Machine’s integration of Microsoft Azure OpenAI Service continues a multi-year collaboration that helps manufacturers around the world transform their business and unlock new levels of productivity and sustainability with leading cloud, data and AI-powered technology. On July 18, Sight Machine was certified as a launch partner for Microsoft Cloud for Manufacturing, and in October 2022, Sight Machine introduced Sight Machine Blueprint, developed in collaboration with NVIDIA and Microsoft, which uses AI for high-speed, automated data labeling, enabling manufacturers to analyze up to 100x more of their data. “Microsoft and its ecosystem are committed to Industrial Metaverse and making the deep investments needed to support global industry transformation,” said Çağlayan Arkan, Vice President, Global Sales Lead, Industrial Metaverse Strategy and Sales, Manufacturing and Supply Chain at Microsoft. “We are proud to collaborate and innovate with Sight Machine as together we bring practical, useful solutions to the world’s factories and plants.” About Sight Machine Sight Machine helps Global 500 Manufacturers unlock the power of industrial data to increase profitability, productivity, and sustainability. Purpose-built for manufacturing, Sight Machine’s Manufacturing Data Platform creates a common data foundation and utilizes AI/ML to support real-time decision making. Through a data-first approach, Sight Machine captures and contextualizes data from the entire factory to deliver a systemwide view of the end-to-end manufacturing process. Data becomes democratized, empowering all stakeholders — from executives to plant managers and operators — to drive and scale productivity improvements across the enterprise. Founded by a team with deep manufacturing industry expertise, Sight Machine has offices in San Francisco and Ann Arbor, Mich.

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