The digital revolution has cemented itself in manufacturing and industry. Engineers can digitally design and simulate machinery integrations and entire factories. Once coupled with sensing and monitoring technologies, manufacturers are given unprecedented understanding of their factory’s machinery health and productivity.
Overview
The digital revolution has cemented itself in manufacturing and industry. It has enabled engineers to design, simulate and integrate machinery with unprecedented precision.
For instance, Industry 4.0 has led to multi-disciplinary systems that combine mechatronic and digital technologies with advances in data management, machine learning and communications. They allow for the complete transparency of real-time machinery performance and health. They also permit the full-scale emulation of machinery and system integration, enabling engineers to analyze the performance of machinery in a virtual environment before physical deployment.
The result is that engineers have a comprehensive picture of their facilities’ strengths, weaknesses and bottlenecks, and are able to develop strategies or implement new technologies with the best data possible.
Key Takeaways
- Explore how continuous improvement strategies can help your organization increase productivity
- Discover techniques to improve quality control throughout the manufacturing value chain
- Learn how ambitious and forward-thinking manufacturers cultivate organizational values that drive innovation
- Identify ways digital platforms, such as simulation or resource management, can stimulate growth
Speakers
Over the past 34 years, Dean Phillips has been a leader in the technology sectors and the world of smart manufacturing. His is a continuous advisor to the smart manufacturing advisory committees with Society of Manufacturing Engineers and PMA Precision Metalforming Association. Phillips has been a speaker on IoT, AI, robotics, VR and AR. He is the creator of reality safe, a VR / AR safety training solution for manufacturing, working with Purdue. Phillips has spent the majority of his time advancing IoT, maintenance and safety to be more predictive and develop outcome based solutions. He has been on the board of directors for SME and an advisor for TTU, MTSU and TCAT. He has been a contributing lecturer on big data and it’s value and need for artificial intelligence to filter the information into actionable items. Phillips provides safety and development to cobot users and assists universities to outline expectations from manufacturers.
Leo is focused on serving clients in industrial and high-tech industries with Digital Twin strategies and services. Leo is a consultant focused on the application of digital twin technology, artificial intelligence and analytics to help his clients improve products, operations, and the supply chain. He brings his experience in these areas to clients in robotics, industrial, and life sciences industries. Prior to joining Kalypso, Leo completed a rotational program at the investment bank Credit Suisse where he spent the majority of his tenure focusing on business analytics and technology implementation. Leo lives in Raleigh, North Carolina. He enjoys hands-on activities like cooking, wood working, camping and fostering puppies.
Ryan Botha brings extensive experience in leveraging digital platforms for enhanced productivity within the manufacturing sector. His expertise spans 3D design, data analysis, and information technology, allowing him to bridge the gap between engineering and data-driven decision making. He has a proven track record of streamlining design processes, implementing IIoT data streams for real-time analytics, and migrating infrastructure to the cloud. His passion lies in developing and implementing digitalization strategies, including AI and machine learning, to optimize manufacturing operations.
Michael Slay is a seasoned data analytics consultant, seamlessly blending mechanical engineering prowess with advanced data analytics techniques. Armed with a Bachelor's degree in Mechanical Engineering from Virginia Tech and a Master's degree in Emerging Technologies from Loyola University, he's amassed over a decade of experience in manufacturing, with the last five years dedicated to data analytics. Currently leading innovation, Michael leverages his expertise to optimize processes and drive informed decision-making. Michael is inspired by the idea that the more informed a decision maker is, the better decisions they can make.
Ryan works for AMT – The Association For Manufacturing Technology, a non-profit trade group established 120 years ago to strengthen the U.S. industrial base through the application of technology. A key challenge in manufacturing is that the pace of technological innovations outpaces industry’s ability to absorb them. To help address this problem, Ryan focuses on regional ecosystem development, with the goal of increasing the manufacturing industry’s techno-metabolism through educational programs, pilot projects, and creating stronger ties between the manufacturing and emerging technology communities. Prior to AMT, Ryan held Product, Operations, and Business Dev roles at MakeTime, and later at Xometry after MakeTime was acquired by Xometry. And before that he worked in consulting, helping major B2B tech OEMs like HP and Xerox create service business to bundle with their hardware.