How to use machine learning and advanced analytics to understand production.
About the presentation Modern data science techniques are used across many industries, but the manufacturing industry has been slow in adopting advanced analytics to optimize and accelerate operations. There are a lot of reasons for this lack of adoption, for example, a shortage of data science and analytics talent and an attitude: if it’s not broke, don’t fix it. However, forward-thinking manufacturers are starting to embrace the power of big data and analytics to improve their operations and create a nimbler work environment. Several companies have stepped into the analytics gap, offering software and hardware solutions that provide more data and actionable insights into everything from toolpath optimization to overall production intelligence in real time. With the amount of information production by CNC machines and advanced toolpath optimization solutions, there’s a big opportunity to use machine learning and advanced analytics to develop deeper insights that span from tooling to the machine, and all the way to overall factory performance. In this session, Greg McHale, CTO and co-founder of Datanomix, and Rob Caron, founder and CEO of Caron Engineering, discuss the types of data that are available from these manufacturing optimization solutions and the possibilities for driving deep insights into overall factory performance using advanced data science and machine learning.
Meet your presenter Greg McHale founded Datanomix on the premise that the 4th industrial revolution would require turnkey products that integrate seamlessly with how manufacturers work today. He brings enterprise data skills to a market ripe for innovation. McHale held engineering leadership positions at several venture-backed companies and is a graduate of Worcester Polytechnic Institute.
In 1986, after working in the CNC machining industry for many years, President Rob Caron, (P.E.), identified a gap in the market when it came to CNC tool monitoring and machine control. He decided to start his own company in the basement of his Wells, Maine-based home to pursue the development of these conceptual technologies. Today, Caron Engineering has a new 12,000ft2 facility with more than 35 employees and a dynamic product line of smart manufacturing solutions that are unmatched in the industry.
About the companies Founded in 2016 in New Hampshire, Datanomix offers automated production intelligence for precision manufacturers. When we started Datanomix, we met with dozens of manufacturers who were trying to use data from their equipment to optimize operations. Not one company was getting what they wanted out of their existing monitoring systems ? information was either too complicated and cumbersome, or too simple and not insightful. The user interfaces on those systems made it look like those companies didn’t understand manufacturers. Based on their input, we built a system designed with a few key principles: ? The system would require no human input for the data to be useful ? The information provided by the system would be actionable right now ? The system should be a “member” of your team, capable of providing answers and insights in the way you think about your business
At Caron Engineering, our mission is to transcend the industry standard by developing advanced sensor and monitoring technology to optimize performance, productivity, and profitability. As an employee-owned entity (ESOP), we work together to bring the best possible service and quality to our customers. It’s our goal to provide leading smart manufacturing solutions to reduce cycle times, promote unattended operation, drive down tooling costs, and minimize expensive damage to machines and work-holding. Our people are in the business of developing adaptive solutions for the future of manufacturing through strong leadership, foresight, and diligence. At Caron Engineering, innovation is what drives us.
The #HandsOnMetrology portfolio offers measuring systems to optimize quality control processes with 3D scanning and automation solutions.
Exact Metrology, a division of In-Place Machining Co. and a comprehensive 3D metrology service provider and hardware sales company, has become the North American distributor of HandsOnMetrology. As a representative of the 3D scanning network, Exact Metrology will be a contact for companies in the United States who want to optimize quality control processes with 3D scanning and automation solutions.
Available at both the Brookfield (Milwaukee), Wisconsin and the Cincinnati, Ohio locations, the #HandsOnMetrology portfolio offers measuring systems including GOM Scan 1, ATOS Q, T-SCAN 10/20, and the hand-held T SCAN hawk. Exact Metrology also offers the GOM ScanCobot automation solution.
Hand-held 3D scanner T-SCAN hawk
How to incorporate artificial intelligence (AI) into mechanical components.
About the presentation In today’s world, innovating is a must. In our industry, this means applying intelligence not only to whole machines, but also to individual machine components: think of a body’s brain intelligence vs knee intelligence. We started working on this challenge a few years ago, and today the biggest hurdle is applying intelligence to a simple pneumatic cylinder, upgrading it to an eco-friendly, self-monitoring, self-predicting industry component. This journey involved our customers, suppliers, technological partners, and a complete cross section of our internal R&D and manufacturing know-how. Today, in an industrial world under pressure to achieve sustainability and digitalization of products and processes, we must also deal with economic feasibility and sustainability. Our adventure is still ongoing, but we’d like to share it with you.
Meet your presenter Luca Pagni is the CEO and owner of Cy.Pag. S.p.A. Throughout the years he gained experience working for companies such as ObexCode and Birdstep Technology. He graduated with a degree in international economics, Bocconi University, Milan (Italy).
About the company Approximately 65% of production at Cy.Pag. comprises standard cylinders used in numerous industrial machines to enable their operation. Yet these components, produced every day in thousands of units, are the result of a detailed, enduring development process that makes them unique in the sector. In practice, striving for quality is an ongoing company process that supports, and anticipates where possible, new market requirements involving all resources to give products added value in terms of innovation, efficiency, and reliability. The drive for continuous improvement is accompanied by the company’s high level of specialization. Since the beginning, Cy.Pag. has specialized exclusively in the manufacture of cylinders and developed high-level expertise and industry knowledge to enable the company to design and manufacture ad hoc technological solutions with maximum flexibility for customers. This is accompanied by a considerable focus on environmental impact and safe company operations.
A multi-year collaboration between Zimmer Biomet and Hospital for Special Surgery established to co-develop innovative artificial intelligence-based decision support tools for robotic-assisted joint surgery.
Zimmer Biomet Holdings Inc. (ZB) and Hospital for Special Surgery (HSS) announced a three-year agreement to create the HSS/Zimmer Biomet (ZB) Innovation Center for Artificial Intelligence (AI) in robotic joint replacement. The companies aim to develop decision support tools, powered by data collection and machine learning, to provide data-driven recommendations to surgeons for robotic-assisted joint surgery.
"Forging a multi-year collaboration with a leading orthopedics institution combines HSS' clinical expertise with Zimmer Biomet's expertise in surgical robotics and AI modeling," said Ivan Tornos, chief operating officer at ZB. "This agreement, which is our second collaboration with HSS in two years, advances our vision to accelerate impactful innovation through strategic third-party relationships."
The decision support tools, will be integrated into the ROSA Knee and ROSA Hip systems to expand the capabilities of ZB's ZBEdge suite of smart, digital, and robotic technologies designed to deliver data-powered clinical insights with the goal of improving patient outcomes.
Over the course of the collaboration, a team of HSS surgeons and ZB data scientists will work to develop and test hypotheses that use data-driven insights to address clinical challenges associated with joint replacement surgery with the goal of using the validated hypotheses to inform the development of algorithms for the decision support tools.
"Through this unique collaboration, HSS can apply knowledge and expertise to transform musculoskeletal care with innovative technologies that can improve clinical outcomes, patient experience and cost efficiency in a meaningful way," said Louis A. Shapiro, president and CEO at HSS.
How does one build a successful business in a competitive industry while also trying to reduce costs and grow the employee base?
About the presentation One significant obstacle facing industries all over the world is high labor costs. Pair this with a shortage of labor in the workforce and a major dilemma begins to arise: how does one build a successful business in a competitive industry while also trying to reduce their costs and grow their employee base? The answer lies within robot-based bin picking. High-level collision detection and path planning allow robots to move independently without any human intervention. High-quality structured light projection creates a detailed 3D map of points so the system can accurately identify the location and orientation of the parts in the bin. Using this technology, 3D machine vision systems completely resolve the aforementioned issues by reducing labor costs and assisting companies with filling positions that are less desirable in today's workforce. This is shaping the way industries function by optimizing production and creating a safer environment in which people can work.
Meet your presenter Originally from Kansas City, Missouri, Grant Zahorsky started working for Canon USA in 2019 focusing on the progression of the Canon RV-series machine vision system. This system uses Canon's high-end consumer and professional cameras to globally assist companies by automating their facilities, thereby creating a more efficient and safer workplace. Zahorsky earned a Bachelor of Science degree in robotics engineering from Worcester Polytechnic Institute in Massachusetts. He also had experience working at a factory that specializes in robotic welding for Tier 1 companies in the automotive industry. With his involvement in the world of robotics, artificial intelligence (AI), and machine vision systems, Zahorsky has set the stage to leave his mark on the industry.
About the company Canon U.S.A. Inc. is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets.