Visitors can look forward to exploring AMADA WELD TECH’s cutting-edge welding technologies, including the WL-300A Laser Processing Workstation with an integrated MM-L400A Laser Weld Monitor, WM-200A IIoT Ready Networked Resistance Weld Monitor, and MM-410B Handheld Resistance Weld Checker. These innovative products will be featured alongside AMADA’s high-performance ID40IV-HP/NT advanced spot welder.

The WL-300A workstation is designed to enhance productivity for small and medium production volume manufacturing processes including those for medical devices, sensors, electronic devices, and small battery modules. Integrated with either a picosecond IR or fiber laser, the WL-300A offers exceptional accuracy and repeatability. Standard features include an XY table, rotary stage, cover gas module, fume extraction, barcode reader, and camera systems, making it a versatile solution for a wide range of industrial applications.

Integrated with the WL-300A is the MM-L400A, a Laser Weld Monitor that provides real-time judgment of weld quality by monitoring workpiece gaps, surface conditions, focus accuracy, and penetration depth. Utilizing its advanced capabilities, the system can differentiate between good and bad welds through a comparison of data, making it an invaluable tool for maintaining high-quality production standards. This feature is particularly useful in production lines, where consistent weld quality is critical.

The WM-200A, which will be exhibited integrated with AMADA’s ID40, is an advanced, IIoT-ready resistance weld monitor designed to enhance welding quality and production efficiency. This networked weld monitor provides real-time data collection and analysis, enabling manufacturers to optimize their welding processes and ensure consistent, high-quality results. The WM-200A’s intuitive interface and comprehensive data management capabilities make it an essential tool for modern welding operations.

Also featured with AMADA’s ID40, the MM-410B is a handheld resistance weld monitor that offers precise measurement and evaluation of weld quality. This compact yet powerful device is ideal for both production and R&D environments, providing accurate and reliable data to support process validation and quality control. The MM-410B’s user-friendly design and robust functionality make it an indispensable asset for any resistance welding application.

About AMADA WELD TECH

Since 1948, AMADA WELD TECH has worked to achieve one goal: to solve customer’s manufacturing challenges. Knowing there is no one solution that fits all, the company strives to provide customers with innovative and reliable manufacturing technology solutions in an effort to be their single source provider. AMADA WELD TECH manufactures equipment and systems for resistance welding, laser welding, laser marking, laser cutting, hermetic sealing and hot bar reflow soldering and bonding. The company serves a wide range of markets including medical devices, battery, aerospace, automotive and electronic components. AMADA WELD TECH is an ISO9001 certified company.

With its launch of SmartBox 2.0, Mazak takes safe and secure machine connectivity to the next level. Building on the company’s original SmartBox digital integration technology, Mazak has developed this latest version with several new features and enhanced connectivity. The new SmartBox 2.0 introduces MQTT and OPC communication protocols, which significantly improve data exchange and interoperability with a broad range of industrial systems. This version now also includes an industrial-grade edge compute PC as standard, advancing its capabilities for machine monitoring and analysis while incorporating advanced cybersecurity protection.

SmartBox 2.0 leverages MTConnect® technology to deliver real-time manufacturing data, allowing shops to optimize operations, boost efficiency and quickly adapt to changing market conditions. The integration of edge computing addresses the challenges of real-time data processing by combining the benefits of decentralized cloud architectures with the efficiency of local network systems. This setup is particularly beneficial in industrial environments where cloud-based data transfer can be impractical due to latency issues, as SmartBox 2.0 enables data processing directly on the machine, offloading tasks from controllers to ensure low latency and high determinism.

Enhanced security is a key feature of SmartBox 2.0. It is equipped with an AES-compliant fully managed switch and an additional lean managed switch, providing top-tier security similar to that found in IT server rooms, but tailored for the demanding factory environment. The device supports up to 10 machines for MTConnect monitoring and includes standard Industrial I/O interfacing, offering scalable connectivity for diverse manufacturing setups. Designed for universal compatibility, SmartBox 2.0 works with any machine regardless of make or model and mounts conveniently on the side of machines without the need for integration into the machine’s electrical cabinet. Additionally, multiple standard input/output ports facilitate easy connection of off-the-shelf sensors for comprehensive data collection and condition monitoring.

Mazak’s SmartBox 2.0 is set to redefine machine connectivity, providing manufacturers with cutting-edge tools to enhance operational efficiency and stay competitive in a rapidly evolving industry.

About Mazak Corporation

Mazak Corporation is a leader in the design and manufacture of productive machine tool solutions. Committed to being a partner to customers with innovative technology, its world-class facility in Florence, Kentucky, produces over 70 models of turning centers, Multi-Tasking machines and vertical machining centers, including 5-axis models, Hybrid Additive processing machines and Swiss Turning Machines. Continuously investing in manufacturing technology allows the Mazak iSMART Factory to be the most advanced and efficient in the industry, providing high-quality and reliable products. Mazak maintains eight Technology Centers across North America to provide local hands-on applications, service and sales support to customers.

At Paperless Parts’ annual user conference, POWER, Hexagon Manufacturing Intelligence division and Paperless Parts announced a strategic partnership designed to accelerate the adoption of modern quoting software by forward-thinking custom part manufacturers.

“We are excited to introduce our new W4900 Indicator,” said Mr. David Allen, Vice President. “By eliminating buttons and utilizing touchscreen technology we have redefined comparative indicating measurement, developing an intuitive, fast, easy-to-use, highly accurate and rugged wireless gage. And the W4900 Indicator is assembled in America with U.S. and globally sourced materials, right here in our Athol, Massachusetts facility.”

Starrett W4900 AGD Group 4 Indicators are versatile with large, easy-to-read and navigate capacitive touchscreen user interface menus, and have wireless output for statistical process control (SPC) via data collection systems such as Starrett DataSure® 4.0. A customizable backlighting function in the W4900 enables both digital and analog readouts to be viewed in the same indicator—another Starrett innovation, one that enhances user preferences and reduces the need for multiple indicator models and their required calibrations. In addition, users can select multiple option menus for dial configurations, resolutions, presets, limits, up to seven different languages and more.

Starrett W4900 Indicators are rugged and sealed, with IP67 protection for harsh manufacturing environments in shops, OEM applications, on custom build and design tools and machinery and for in-process applications. The indicators are also very suitable in quality lab applications and other inspection areas. Featuring a Corning® Gorilla® Glass screen, new W4900 Indicators have been successfully shop floor tested including drop, vibration, cycle, and thermal testing, enduring all environments similar to standard indicators. The W4900 has an auto-on feature that is enacted via touch of the screen or the indicator stem, an auto-off after the desired pre-set time, in addition to a rechargeable, long-life battery. The indicator has a 1” (25 mm) range and an accuracy of +/- .00012” (0.003 mm), with resolutions of .001/ .0005/ .0001/ .00005 in inch, and 0.01/ 0.005/ 0.002/ 0.001 mm in metric.

Starrett W4900 Indicators are ideal for use with industry data collection devices and systems such as Starrett DataSure® 4.0, the most scalable, secure, robust data acquisition solution with unprecedented range and capabilities and for leveraging data for SPC and Industry 4.0 applications.

About The L.S. Starrett Company

Founded in 1880 and headquartered in Athol, MA U.S.A., The L.S. Starrett Company is a leading global manufacturer of precision measuring tools and gages, optical comparators and vision systems and force and hardness testing solutions. Starrett also manufactures laser measurement systems, custom engineered granite solutions, custom gaging, band saw blades, power tool accessories, saw blades, workshop tools and jobsite tools. The Starrett brand is recognized throughout the world for exceptional quality and precision. Skilled personnel, superior products, manufacturing expertise, innovation and excellent service and support have earned Starrett its reputation as the “World’s Greatest Toolmakers”. Starrett has over 1,400 employees worldwide. The company has five manufacturing locations in the U.S.A., including facilities in Massachusetts, Georgia, Ohio, Minnesota, and California. Starrett also has three international manufacturing facilities. Plants are located in Brazil, Scotland and China, in addition to distribution centers and offices located worldwide.

The Core Challenges in Manufacturing Labor

Shah highlights the challenge in the manufacturing industry as the mismatch between available skills and rapidly changing industry demands. He explains, “The biggest challenge comes down to the availability of the right skills to do the work required in an ever-changing environment.” The initial labor shortages observed during COVID have transitioned into a more complex issue of skill shortages. A survey by Deloitte and The Manufacturing Institute reports that the industry is expected to face a shortfall of 2.1 million skilled jobs by 2030. Manufacturers now grapple with not only finding sufficient workers but ensuring they possess the necessary skills for modern manufacturing processes.

The Evolution of Skills Management

Emphasizing the critical role of skills management in bridging the labor gap, Shah explains, “We started to notice a particular challenge for certain technologies to surface that data, collect that data, manage it, and give it back to operations in a way that they could make use of it.” A report by McKinsey & Company highlights that 87% of businesses are either currently facing or anticipating a shortage of skilled workers due to automation and digitization. Today’s workforce comes with a set of inherent skills, often overlooked, that are crucial in the digital manufacturing era. Effective skills management involves identifying these inherent skills, addressing skill gaps through personalized training, and rapidly aligning workforce capabilities with operational needs.

Combating Employee Burnout

To address employee burnout, Shah suggests a proactive approach to recognizing and valuing employees’ skills. “People are not afraid of work if they’re valued for the work that they do,” Shah remarks, highlighting the importance of acknowledging and compensating employees’ skills. A formal skills program can help in identifying key skilled workers, tracking their engagement, and providing them with clear career progression paths. This approach not only mitigates burnout but also fosters a culture of appreciation and growth within the organization.

The Holistic Impact of Skills Management

Shah brings to light the comprehensive impact of skills management on a company. “It’s really a shot in the dark as to whether a workforce is going to be prepared to meet that future goal,” Shah comments, emphasizing the importance of aligning workforce capabilities with strategic goals, such as net-zero emissions. A skills management platform, he explains, allows for the systematic development of necessary skills like carbon sequestration and offset, ensuring that the workforce can meet future organizational goals. This proactive approach helps companies navigate the evolving industrial landscape with a more prepared and adaptable workforce.

Integration of Apprenticeship Programs

In discussing the integration of apprenticeship programs, Jai Shah highlights Kahuna’s crucial role in bolstering these initiatives. He notes, “The craft worker skilling journey often requires a mentorship or apprenticeship kind of relationship. Kahuna’s approach involves strategically identifying the most effective mentors within the workforce and pairing them with apprentices. This method not only streamlines the learning process but also ensures a more personalized and impactful training experience.

Shah further elaborates on the value of this mentorship, explaining how Kahuna’s platform is designed to gather and utilize data throughout the apprenticeship. This data collection is key to optimizing the training process and ensuring that apprentices are workforce-ready upon completion of the program. As an illustrative example, Shah cites Stanley Black & Decker, which has successfully implemented workforce development strategies that align with this approach. Their experience underscores the effectiveness of integrating structured mentorship and data-driven insights in apprenticeship programs, setting a standard for others in the industry.

Engaging with Kahuna for Skills Management

For manufacturers eager to collaborate with Kahuna, Shah lays out a practical and incremental approach. “You don’t have to be perfect to get started on this journey,” Shah advises, recommending starting with identifying the most critical skills needed in specific operations and then systematically exposing these to the workforce. He stresses that the journey towards a skills-based workforce does not require perfection from the outset but rather a commitment to continuous improvement and adaptation. Shah cites the example of Stanley Black & Decker to demonstrate Kahuna’s ability to adapt and implement skills management across various industries, including manufacturing and healthcare.

Navigating the Future: Embracing Workforce Transformation in Manufacturing

As we reflect on the insightful discourse with Jai Shah, CEO of Kahuna, it becomes evident that the manufacturing sector is at a critical crossroads. The inevitable transition from a job-based economy to one that is skills-based is not just imminent; it is imperative. The array of challenges brought to the forefront – from acute labor shortages, a byproduct of the COVID-19 pandemic, to the dynamic shifts in technological advancements – calls for a decisive and robust approach centered around strategic workforce development and adept skills management.

In the era of intelligent manufacturing, the demand is for a workforce that is not just competent but also versatile, skilled, and prepared to tackle novel challenges head-on. Shah’s visionary leadership and the strategic direction provided by Kahuna emerge as a guiding light in this journey. By leveraging the profound potential of skills management and enriching apprenticeship programs, manufacturing entities are empowered not merely to satisfy immediate demands but to strategically prepare for upcoming challenges and opportunities.

Shah rightly points out that the path to cultivating a skilled and efficient workforce is an ongoing and dynamic process. It is marked by a steadfast commitment to innovation and adaptability. For the manufacturing sector, this represents a pivotal opportunity to reassess and revamp their workforce development strategies, investing in their most valuable asset – their people – thereby laying a robust foundation for sustained growth and long-term success.

Reflecting on the Future

Looking ahead, the manufacturing industry stands to gain immensely from embracing these changes. A skilled workforce is not just an asset; it’s the backbone of innovation and productivity. The integration of skills management and technology in workforce development is not just a trend; it’s the future. As we move towards more automated, technologically driven manufacturing processes, the value of a skilled, adaptable workforce cannot be overstated.

Seizing the Moment: A Call to Revolutionize Workforce Dynamics in Manufacturing

For leaders in the industry, human resources professionals and decision-makers shaping policy, the imperative is unmistakable: the moment for transformative action is now. Adopting a skills-based approach to workforce development transcends mere benefit; it is a critical strategy for maintaining a competitive edge in an ever-evolving global marketplace. We urge our readers to ponder deeply upon these insights, to critically assess and recalibrate their current workforce development strategies, and to consider how innovative solutions like those offered by Kahuna can be effectively integrated into their operational frameworks.

In an era characterized by relentless change, investing in your workforce transcends a mere strategic decision – it signifies a commitment to the future. This is a call to action, an opportunity to adapt and lead in fostering a landscape marked by growth, innovation, and enduring success.

IoT-enabled predictive maintenance empowers workforce skills, saves money and has numerous other plusses. Explore the IoT’s role in manufacturing and how the benefits justify swift implementation.

What Is the Role of IoT in Predictive Maintenance?

Industrial IoT’s (IIoT) role in predictive maintenance is to increase a machine’s efficiency and life span while reducing unnecessary upkeep. IIoT tools do this using data collection from sensors, cameras and other peripherals. The goal of employing the IIoT in manufacturing is to minimize downtime and save on labor and maintenance costs.

Manufacturers usually rely on preventive maintenance to increase uptime, but predictive has better timing and can consider the future’s influence on current operations.

IIoT devices notify operators when to execute repairs, cleaning or parts replacements only as needed instead of on a potentially excessive schedule. Alternatively, some production lines may rarely perform maintenance, and IIoT-enabled predictive maintenance reminds technicians of their responsibilities.

What Are the Benefits?

Manufacturing experts may understand the basic boons of IIoT for predictive maintenance, but its influence spreads to more parts of a business structure than initially perceived.

1. Increased Safety and Compliance

Regulatory efforts and technological assistance have decreased manufacturing-related injuries and deaths in the last half-century. The IIoT’s ability to suggest predictive maintenance reduces the likelihood that machines fail, break or run incorrectly.

Faults increase the chances workers get hurt. The IIoT heightens safety and, therefore, improves worker comfort and morale. The safer they are, the more likely they will stick to maintenance schedules and suggestions for their well-being.

2. Boosted Sustainability

Numerous factors impact a machine’s performance power. Is there dust and dirt under belts or do motors need more lubrication to move at optimal speeds? Faulty or old parts compound these influences. These hindrances force manufacturing machinery to pull more power than expected, resulting in downtime and supply loss from poor products.

Additionally, degrading equipment may cause excess pollution and contaminant spread, such as oil and chemical leaks or particulate air contamination.

A failing machine creates excess waste and uses copious amounts of power it would not otherwise. The IIoT keeps everything from energy expenditure, landfill contributions, water use and carbon emissions down by reminding techs to fine-tune the machines. IIoT sensor data will illuminate countless green process discoveries.

3. Opportunistic Upskilling and Reskilling

Digital transformation in Industry 4.0 makes tenured operators learn new tools and skills. New entrants can get firsthand experience with technologies shaping their future. No matter the technician’s demographic and experience level, IIoT-powered predictive maintenance provides openings for workers to up- and reskill. Delaying IIoT implementation puts essential maintenance training on hold for manufacturers needing to stay adept.

4. Improved Machine Efficacy and Output

Machines do not have to put in as much effort to produce quality products if everything is spotless and well-oiled. Production lines waste countless dollars and hours discontinuing and replacing things that should have been in operation longer. IIoT-empowered predictive maintenance could double equipment life, reducing annual revenue loss and downtime spent installing new machinery.

5. Provided Competitive Advantage

Well-maintained machines with the help of the IIoT are also more likely to help quality control. As-needed, relevant predictive maintenance solidifies the chances every facet of a product is top-notch. Because predictive maintenance considers the future of the machine and development, it makes its quality timeless and consistent, even as months and years go by.

A manufacturer’s reputation becomes more reliable, allowing more customers to trust a specific brand over others. High reputation translates to industry leadership as companies leveraging IIoT and predictive maintenance become role models for industry progression.

How Do Manufacturers Implement IIoT for Maintenance?

With AI and related technologies adding more than $13 trillion back to the global economy by 2030, it makes sense to jump on the IIoT bandwagon now. The benefits only arrive on production lines when the sector undergoes a smooth, logical digital transformation. Scaling based on budget, worker capabilities, and stakeholder goals will influence installation and timetables. Manufacturers can follow these distilled steps to begin their predictive maintenance journey.

First, manufacturing professionals must identify which assets they want to be influenced by predictive maintenance peripherals. Businesses may need to divide them by priority, as comprehensive implementation may take time, mainly if a company tests multiple IIoT devices.

The second step is choosing the right software and tools for priority machines. Management should consider factors like compatibility with existing digital infrastructure, data gathering abilities and diversity, price and third-party compliance, and operability standards.

Manufacturers should rewrite technical documentation and procedures for workforces with these new systems in mind. Enterprises risk efficiency and morale if these knowledge bases do not exist before implementation and training. Everything from beginner briefs to troubleshooting information must be available to technicians.

Cybersecurity compliance is another consideration. Address these concerns before handing off responsibilities to workers. Consider authentication measures, data collection, record-keeping, backups, permissions and risk management.

Finally, there is installation alongside training. Companies focusing on these major categories before opening the doors to IIoT-driven predictive maintenance will yield better results.

The IoT Keeps Manufacturing Machines Alive

Predictive maintenance empowered by the IIoT requires dedication to implementation and attentiveness to upkeep. These efforts have numerous benefits for manufacturing workforces, leaders and stakeholders.

Timely repairs and replacements set a precedent for a more seamless manufacturing sector that produces less waste and prioritizes safety. The machine’s life span directly translates to how a manufacturer’s reputation will transform after IIoT implementation — one of longevity and reliability.

Built by a diverse team of system integrators and former end-users who understand the huge potential data analytics bring to the manufacturing sector, Flow provides a method to easily access, clean and transform data into analytics-ready information.

Flow provides a “no-code” framework to collect, combine and normalize data from multiple, disparate OT and IT sources to create calculations and event frames, and contextualize the results using time and model information.

“Typically, companies are seeing only part of the picture when it comes to the data and information their equipment and processes produce,” says Jeff Knepper, Managing Partner at Flow. “We create a comprehensive model and connect all your data sources to that model. Then, we transform those traditionally isolated data points into usable KPIs and analytics, allowing you to communicate better to your people and improve overall decision making, both on the manufacturing floor and in the C-suite. CESMII’s approach to enable the use of standard, reusable information models will be a tremendous asset to us and our users!”

Flow emerged from what CEO Graeme Welton saw as a massive intelligence gap in the industry. “That gap provided an opportunity for us to step through and provide a solution that would greatly improve data collection, interpretation and communication throughout an organization,” Welton said. “We call it a single source of truth, a hub where all operational data is enriched and made accessible to inform and empower all levels of organization to perform efficiently, sustainably, and profitably.”

Flow Software provides an ideal fit for CESMII and its mission to democratize smart manufacturing and create better, more effective methods for its membership across the United States.

“Manufacturers continue to struggle with the cost and complexity of the disparate manufacturing solutions in the market today,” said John Dyck, CESMII CEO. “We’re excited to engage with this visionary team at Flow, and work together with them to accelerate the adoption of Smart Manufacturing.”

About CESMII

CESMII – the Smart Manufacturing Institute – has a total investment of $140M from Department of Energy funding and public/private partnership contributions, with a mandate to create a more competitive manufacturing environment here in the US. CESMII is one of 17 Manufacturing USA institutes on this mission to increase manufacturing productivity, global competitiveness, and reinvestment by increasing energy productivity, improving economic performance and raising workforce capacity. University of California at Los Angeles (UCLA) is the program and administrative home of CESMII.

About Flow Software, Inc.

Since 2018, Flow Software has provided a no code/low code, open architecture modeling and configuration environment built specifically for manufacturing operations to transform OT and IT data sources into analytics-ready information. Flow includes everything its customers need to model, connect, transform, visualize and bridge the gap between data and decision making in a scalable, repeatable way.

These new resources highlight the innovative dimensional metrology, machine alignment, measurement tooling calibration, training and certification capabilities of these three highly respected industry suppliers. Providing an integrated approach benefits IPM customers with improved collaboration between a much larger team of experienced metrology engineers and technicians with skills, using a broader range of highly accurate and innovative 3D metrology tools and technologies.

With state-of-the-art measurement technology, cutting edge design and ISO 9100 & AS9100 Rev D certification, the 3D scanning facilities of the IPM Measurement & Alignment Services Division can capture measurements from objects as small as a medical heart stent to areas as large as a football field. Using a fleet of innovative metrology solutions, this new division offers precision machine alignment, resulting in reduced downtime, improved product quality and minimized waste for many in the manufacturing and process industries. Calibrating 3D measurement systems such as laser trackers, portable arms etc. on a schedule will maximize the accuracy and clarity of the data. Highly trained metrology professionals help when clients need to ensure equipment precision and accuracy to boost their bottom line.

Capturing information using 3D scanning methods to find measurements of thickness, accuracy, porosity and more, is achieved with the Data Capture software. It’s compatible with short range, long range, computed tomography (CT) and coordinate measuring machine (CMM) scanners as well as laser trackers. Additionally, post-processing solutions are tailored to fit the needs of myriad IPM client applications.

Proper machine alignment involves more than just data collection. Experienced staff from all the participating companies have the skills, tooling and knowledge not only to provide highly accurate alignment inspection data, but also to make the necessary mechanical adjustments. This saves considerable time and money during planned outages, emergency shutdowns, rebuilds and installations. Using advanced alignment solutions, IPM helps clients increase operating efficiency through alignment inspections and diagnostics, mechanical adjustments, alignment planning and technical reports.

Calibration services can be performed onsite at the client’s facility or at one of the IPM ISO/IEC 17025 Accredited Laboratories. The Measurement & Alignment Services Division provides calibration for a wide array of applications including ISO/IEC 17025 accredited lab, comprehensive reporting, on-site calibration, ASME standards evaluation, cleaning and firmware upgrades, portable instruments and stationary CMMs.

For those who prefer keeping their measurement processes in-house, the company provides training and certification services. These include CMS metrology certification, geometric dimensioning & tolerancing (GD&T), dimensional metrology, equipment and maintenance and measurement software.

Users in a wide variety of manufacturing and process industries will benefit from the collaborative capabilities of the IPM Measurement & Alignment Services Division.

In-Place Machining Company: On-Site Machining Solutions In-Place, Any Place in the World.

In-Place Machining Company is the premier provider of high-precision machining, large scale cutting and drilling, dimensional metrology, instrument calibration, and machine alignment services for a wide range of renewable energy, aerospace, industrial, and military customers throughout the world. Now with seventeen service locations across the U.S. and Canada, IPM has a breadth of service offerings that is unmatched in the industry.

Exact Metrology: A Division of In-Place Machining Company, is ISO9001, AS9100 Certified as well as ITAR Registered.

Exact Metrology is a comprehensive metrology services provider, offering customers 3D and CT scanning, reverse engineering, quality inspection, product development and 3D modeling. The company also provides turnkey metrology solutions, including equipment sales and lease/rental arrangements.

OASIS Alignment Services: A Division of In-Place Machining Company, a Leader in Precision Measurement, Machine Alignment and Mechanical Services

With a unique combination of tooling and services and a team of knowledgeable and dedicated engineers and field technicians, OASIS partners with customers to develop solutions specific to their precision measurement and machine alignments needs. Using a fleet of precision metrology instruments and mechanical tools, OASIS can provide full turnkey service from a North American network of service centers.

East Coast Metrology: A Division of In-Place Machining Company, a Leader in Precision Measurement, Machine Alignment and Mechanical Services

A globally recognized full-service contract measurement company specializing in 3D scanning and modeling, reverse engineering and design, training and certification, instrument calibrations, equipment rentals, integration & alignment and more. Headquartered in Topsfield, Massachusetts, ECM hosts an ISO/IEC 17025 Accredited Laboratory performing instrument calibrations, repairs and CMM part inspection and programming.

There aren’t many places in the IoT world where one can hide from the reach of AI. However, it may not be evident because there are situations where AI has been an ongoing presence for many years, just in a different form or under a different name. So, to get some real genuine perspective on AI, we decided to turn to what else – AI. The following article from this point is a reflection of AI on AI, with seeded questions we provided. We aren’t going to reveal which AI we used, except to say it is one of the larger available online services. It’s up to you to fact check. The responses are in their entirety.

What are the biggest trends in AI in 2023?

AI: Democratization of AI is becoming more accessible to businesses and individuals, thanks to the development of low-code and no-code AI platforms. This means that anyone with an idea can now build an AI-powered application, without having to be a data scientist or engineer. Other specific trends include:

• Increased use of AI in healthcare: AI is being used to improve healthcare in a number of ways, including diagnosing diseases, developing new treatments, and providing personalized care. For example, AI-powered systems can now identify skin cancer with the same accuracy as a dermatologist, and AI-powered chatbots can provide support and advice to patients.
• The rise of generative AI: Generative AI is a type of AI that can create new content, such as text, images, and music. This technology has the potential to revolutionize a wide range of industries, from marketing to entertainment. For example, generative AI can be used to create personalized marketing campaigns or to generate new ideas for movies and TV shows.
• Advances in natural language processing (NLP): NLP is a field of computer science that deals with the interaction between computers and human language. NLP is being used to develop AI systems that can understand and respond to human language in a natural way.
• The development of AI ethics: As AI becomes more powerful, it is important to develop ethical guidelines for its use. This is because AI can be used to make decisions that have a significant impact on people’s lives. For example, AI-powered systems could be used to make decisions about who gets a loan or who is hired for a job. It is important to ensure that AI is used in a way that is fair and equitable.

AI is a rapidly evolving field, and it is impossible to say for sure what the future holds. However, it is clear that AI has the potential to change the world in a profound way.

What is the most important innovation in AI over the last 6 months?

AI: There have been many important innovations in AI over the past 6 months, but one of the most significant is the development of large language models (LLMs). LLMs are a type of AI that can process and generate text, and they have been shown to be capable of some amazing things. For example, LLMs can be used to generate realistic-looking fake news articles, write poetry, and even translate languages.

One of the most impressive things about LLMs is their ability to learn and adapt. As they are exposed to more data, they become better at understanding and generating text. This means that they have the potential to revolutionize the way we interact with computers.

For example, LLMs could be used to create more natural and engaging chatbots. They could also be used to generate personalized content, such as news articles or product recommendations.

The development of LLMs is just one example of the many exciting innovations that are happening in AI. As AI technology continues to develop, we can expect to see even more amazing things in the years to come.

Here are some other important innovations in AI over the past 6 months:

• The development of new AI algorithms that are more efficient and accurate than previous algorithms.
• The development of new AI hardware that is faster and more powerful than previous hardware.
• The development of new AI applications in a wide range of fields, such as healthcare, finance, and transportation.

These are just a few of the many important innovations that are happening in AI. As AI technology continues to develop, we can expect to see even more amazing things in the years to come.

What do you see as the role for AI in manufacturing over the next 3 years?

AI: I see AI playing a major role in manufacturing in the next 3 years. Here are a few specific examples:

• AI-powered robots: AI-powered robots are already being used in manufacturing to perform tasks such as welding, painting, and assembly. These robots are more precise and efficient than human workers, and they can work 24/7 without getting tired.
• AI-powered quality control: AI can be used to inspect products for defects and to identify potential problems with the manufacturing process. This can help to improve quality and reduce costs.
• AI-powered predictive maintenance: AI can be used to predict when equipment is likely to fail. This allows manufacturers to schedule maintenance before a problem occurs, which can save time and money.
• AI-powered supply chain management: AI can be used to optimize the supply chain, which can help to reduce costs and improve efficiency. For example, AI can be used to predict demand for products, to identify the most efficient routes for shipping, and to manage inventory levels.

These are just a few of the ways that AI is being used in manufacturing today. As AI technology continues to develop, I believe that we will see even more innovative applications of AI in manufacturing in the next 3 years.

In addition to the specific examples I mentioned, AI is also being used in manufacturing in a number of other ways, including:

• Designing new products: AI can be used to design new products that are more efficient, effective, and user-friendly.
• Optimizing production processes: AI can be used to optimize production processes, which can lead to increased efficiency and productivity.
• Managing inventory: AI can be used to manage inventory more effectively, which can help to reduce costs and improve customer service.
• Improving quality control: AI can be used to improve quality control, which can lead to fewer defects and increased customer satisfaction.

Overall, AI has the potential to revolutionize manufacturing. By automating tasks, improving efficiency, and reducing costs, AI can help manufacturers to stay competitive in a globalized market.

What is the difference between automation of equipment through code-driven decisions and AI use of equipment?

AI: The main difference between automation of equipment that has code-driven decisions and AI use of equipment is that code-driven decisions are based on pre-programmed instructions, while AI-powered decisions are based on machine learning and data analysis.

In code-driven automation, the equipment is programmed to make decisions based on a set of rules. For example, a robot may be programmed to pick up a part only if it is the correct size and shape. This type of automation is very efficient and can be used to perform repetitive tasks with high accuracy. However, it is not very flexible and cannot adapt to changes in the environment or the product being produced.

AI-powered automation, on the other hand, uses machine learning to learn from data and make decisions on its own. For example, an AI-powered robot may be able to learn to pick up different types of parts, even if they are not the same size or shape. This type of automation is more flexible and can adapt to changes in the environment or the product being produced. However, it is also more complex and requires more data to train.

In general, code-driven automation is a good choice for tasks that are repetitive and do not require a lot of flexibility. AI-powered automation is a good choice for tasks that are more complex and require the ability to adapt to changes.

Here are some examples of how code-driven automation and AI-powered automation are used in manufacturing:

Code-driven automation:

• A robot that is programmed to pick up a part only if it is the correct size and shape.
• A machine that is programmed to weld two pieces of metal together.
• A conveyor belt that is programmed to move products from one station to another.

AI-powered automation:

• A robot that can learn to pick up different types of parts, even if they are not the same size or shape.
• A machine that can learn to adjust its settings to produce different products.
• A system that can predict when equipment is likely to fail and take preventive action.

As AI technology continues to develop, we can expect to see more and more AI-powered automation in manufacturing. AI has the potential to make manufacturing more efficient, productive, and competitive.

What is your view on Industry 5.0 and how is it being deployed?

AI: Industry 5.0 is the fifth industrial revolution, which is characterized by the integration of artificial intelligence (AI), the Internet of Things (IoT), and other advanced technologies into manufacturing processes. The goal of Industry 5.0 is to create more intelligent, flexible, and sustainable manufacturing systems.

There are a number of ways that Industry 5.0 is being deployed. One way is through the use of smart factories. Smart factories use AI, IoT, and other technologies to collect and analyze data from machines and equipment. This data can then be used to improve production efficiency, quality, and sustainability.

Another way that Industry 5.0 is being deployed is through the use of collaborative robots. Collaborative robots, also known as cobots, are robots that can work safely alongside humans. Cobots can be used to automate tasks that are dangerous or repetitive, freeing up human workers to focus on more creative and strategic tasks.

Industry 5.0 is still in its early stages, but it has the potential to revolutionize manufacturing. By integrating AI, IoT, and other advanced technologies, manufacturers can create more intelligent, flexible, and sustainable manufacturing systems. This can lead to increased productivity, improved quality, and reduced costs.

Here are some specific examples of how Industry 5.0 is being deployed:

• Siemens: Siemens is a German multinational conglomerate that specializes in the production of industrial machinery and electronics. Siemens has been a pioneer in the development of Industry 5.0, and it has deployed a number of Industry 5.0 solutions in its own factories. For example, Siemens has deployed a smart factory in its wind turbine manufacturing plant in Denmark. The smart factory uses AI, IoT, and other technologies to collect and analyze data from machines and equipment. This data is then used to improve production efficiency, quality, and sustainability.
• General Electric: General Electric is an American multinational conglomerate that specializes in the production of aircraft engines, medical equipment, and power generation equipment. GE has been a major investor in Industry 5.0, and it has deployed a number of Industry 5.0 solutions in its own factories. For example, GE has deployed a smart factory in its aircraft engine manufacturing plant in the United States. The smart factory uses AI, IoT, and other technologies to collect and analyze data from machines and equipment. This data is then used to improve production efficiency, quality, and sustainability.
• Rockwell Automation: Rockwell Automation is an American multinational corporation that specializes in the production of industrial automation products and services. Rockwell Automation has been a leader in the development of Industry 5.0, and it offers a number of products and services that enable manufacturers to deploy Industry 5.0 solutions. For example, Rockwell Automation offers a suite of products and services that enable manufacturers to collect and analyze data from machines and equipment. This data can then be used to improve production efficiency, quality, and sustainability.
• Dassault Systèmes: Dassault Systèmes is a French multinational software company that specializes in the development of 3D design and engineering software. Dassault Systèmes has been a major investor in Industry 5.0, and it offers a number of products and services that enable manufacturers to deploy Industry 5.0 solutions. For example, Dassault Systèmes offers a suite of products and services that enable manufacturers to create digital twins of their products and processes. Digital twins can be used to simulate and optimize manufacturing processes, which can lead to increased productivity, improved quality, and reduced costs.
• PTC: PTC is an American multinational software company that specializes in the development of product lifecycle management (PLM) software. PTC has been a leader in the development of Industry 5.0, and it offers a number of products and services that enable manufacturers to deploy Industry 5.0 solutions. For example, PTC offers a suite of products and services that enable manufacturers to create digital twins of their products and processes. Digital twins can be used to simulate and optimize manufacturing processes, which can lead to increased productivity, improved quality, and reduced costs.

These are just a few of the many companies that are deploying Industry 5.0 solutions. As the field of Industry 5.0 continues to evolve, we can expect to see even more companies offering products and services that enable manufacturers to deploy Industry 5.0 solutions.

So you mentioned Digital Twin. What are the latest innovations in Digital Twin Simulation?

AI: Digital twins are virtual replicas of physical objects or systems that can be used to simulate their behavior and performance. They are increasingly being used in a wide range of industries, including manufacturing, healthcare, and energy.

Here are some of the latest innovations in digital twin simulation:

• The use of artificial intelligence (AI) and machine learning (ML): AI and ML are being used to improve the accuracy and efficiency of digital twin simulations. For example, AI can be used to identify patterns in data that would be difficult for humans to see. ML can be used to automate tasks such as data collection and analysis.
• The use of cloud computing: Cloud computing is making it easier and more affordable to create and maintain digital twin simulations. Cloud-based platforms provide access to powerful computing resources and large datasets.
• The use of open-source software: Open-source software is making it easier for businesses and organizations to create and use digital twin simulations. Open-source software is often free or low-cost, and it is available to anyone who wants to use it.

These are just some of the latest innovations in digital twin simulation. As the technology continues to develop, we can expect to see even more innovative and disruptive applications in this field.

Here are some specific examples of how digital twin simulation is being used today:

• Manufacturing: Digital twins are being used in manufacturing to improve product design, optimize production processes, and predict failures. For example, General Electric uses digital twins to simulate the performance of jet engines. This allows the company to identify potential problems before they occur, which can save the company money and improve the safety of its products.
• Healthcare: Digital twins are being used in healthcare to improve patient care, develop new treatments, and simulate the performance of medical devices. For example, the Mayo Clinic uses digital twins to simulate the behavior of the human heart. This allows the clinic to test new treatments and procedures without having to put patients at risk.
• Energy: Digital twins are being used in the energy industry to optimize power grids, improve the performance of power plants, and reduce energy consumption. For example, the Tennessee Valley Authority uses digital twins to simulate the performance of its power grid. This allows the company to identify potential problems and make changes to the grid before they cause outages.

These are just a few examples of how digital twin simulation is being used today. As the technology continues to develop, we can expect to see even more innovative and disruptive applications in this field.

And then we were done. I’m sure AI was tired and so was I. Interestingly, the AI has a need for affirmation at the end of every topic response which seems very human, don’t you agree?

Scott Yenchik, Director of VibePro, Formerly GTI Predictive, is excited to share “that our latest software APP for vibration analysis, VibePro, was built from our very successful legacy line of products, Vibepro 7 and VibePro 8. Our goal is to create innovative, easy-to-use solutions for our customers. Developing this new release is essential to fulfilling that promise to our current and future VibePro customers.”

Yenchik also noted that “while leveraging our product history, we created VibePro based on input from experts in vibration analysis and customer feedback. Some new updates will include the product’s base set of features that many are familiar with while also delivering increased customer satisfaction with our new features. VibePro is also the first to combine precision sensors within the iPad ecosystem. Being able to monitor permanently mounted sensors while backed up by the most ergonomic and simple-to-use wireless data collector is truly outstanding! After 12 years of development, VibePro offers an experience unlike any other PDM platform.”

With VibePro, you can quickly email live data reports to decision-makers without leaving the plant or asset’s side. VibePro 24/7 offers permanent mount sensors that can be added to stream data from the most critical assets of the plant, all to the same dashboard where the route data you are collecting resides. Add additional technology points solutions such as thermography, laser alignment, ultrasound, balancing, and many other tools to your iPad to connect technicians to a single platform!

All the best analysis tools are available on the VibePro app. View continuously updating, live Velocity and Acceleration Spectrum plots. Simply pinch and zoom to adjust the frequency range for analysis capabilities. Use touch markers to identify peaks, harmonics, and side bands interactively. Add RPM markers from our bearing library for easy determination of synchronous peaks and bearing frequency markers. With its dual-axis capability, VibePro is the perfect machine-analysis investigation tool. Plus, with the single measurement reporting tool, documenting your findings has always been quick and user-friendly. As easy as sending an email.

VibePro is designed to be simple and fast for the user. Take a photo of your asset or select from our model library and drag and drop your points using the touch screen. Quick pop-ups for alarm thresholds, selectors for Fmax, lines of resolution, and other settings are intuitive and fast. Duplication of machines is also available to reduce database and hierarchy setup times in half. Setting a route on VibePro is a simple experience while using all the functionality of the iPad’s design.

VibePro also offers an advanced viewer mode that allows the user to perform actions and analyze waveforms, FFTs, circular plots, and waterfalls. Using the iPad interface, you can overlap readings and similar assets and visualize the data from multiple angles with simple pinch and zoom gestures. On top of all these functions, VibePro can share images and graphs within your customized reports, transferred directly from your device.

At the end of a VibePro user’s day, a technician can press one button to export a valuable day of data collection to our signature Web app. In the web app, the user will find all the tools needed to produce decision-making reports and post-processing abilities an analyst could favor having. The VibePro web app has a two-dimensional heat map that identifies whether established thresholds have been breached and indicates how fast the data changes. In addition, fault detection is available so you can check your findings against common machine faults with the diagnostic algorithms.

Release the power of VibePro to your staff today, and you will have the PDM program you are looking for in record time.

About B&D Industrial

Founded in 1947, B&D Industrial is an applications-driven, independent distributor and service provider. It provides solutions to OEMs and companies with MRO and automation needs in heavy and light manufacturing. B&D Industrial operates over 30 facilities in Georgia, Florida, Tennessee, Louisiana, North Carolina, South Carolina, and Washington. The company’s portfolio includes Washington-based Western Machine Works, Inc., Scale Systems, and e-commerce enterprise Industrial Control Direct, along with IIOT offerings VibePro and OptiPro. B&D Industrial is headquartered in Macon, Georgia.