Chris Pickett
Speaker at SOUTHEAST: Chris Pickett, Chris Pickett, MASS Group, Inc.
Speaker at SOUTHEAST: Chris Pickett, Chris Pickett, MASS Group, Inc.
SOUTHEAST Session: Manufacturing faces an unprecedented workforce transition as the “silver tsunami” of retiring Baby Boomers and Gen X workers accelerates. Decades of institutional knowledge are leaving with them, forcing companies to scramble for ways to preserve expertise while managing increasingly complex operations. Many facilities now schedule critical work around the availability of a single seasoned technician, while others bring retirees back at premium wages just to keep production running. At the same time, new hires arrive with expectations shaped by consumer technology—anticipating smartphone-level intuitiveness—yet encounter manufacturing systems that feel stuck in the 1990s. This presentation will share field-tested insights on how modern manufacturing systems must be transparent, modular, and designed to evolve with their users. It will also explore how manufacturers can fundamentally rethink “experience” for a new era—moving from legacy tools to adaptive, intelligent platforms that empower rather than frustrate. Attendees will see a detailed case study of 3D Glass Solutions, Inc., where strategic MES implementation boosted yield, reduced downtime, and created systems that engaged the workforce instead of alienating it. The conversation will break down the real-world challenges, adoption strategies, and critical success factors that make the difference between results and setbacks. The session concludes with a first look at Project Phoenix, MASS Group’s next-generation platform built for the realities of today’s manufacturing floor—without the complexity of yesterday’s enterprise software.
SOUTHEAST Session: Manufacturers performing visual inspections on their products have historically had two options: perform the inspection manually, or program a rule-based vision system. Both of these options are slow, inflexible, and costly to maintain. However, as Graphical Processing Units (GPUs) have become more powerful, a third approach has become available: deep learning. Deep learning-based vision systems learn directly from annotated images to perform inference on images. They offer numerous advantages including rapid deployment, greater detection flexibility, and lower development and acquisition costs. They are also easily retrained and reconfigured with minimal to no programming. As such, they represent a massive opportunity to automate quality inspection for small to medium sized manufacturers. In this presentation, we will discuss the technology that enables AI-based computer vision, the advantages they provide, use cases, and how to best implement them. Attendees will walk away with a clear understanding of where deep learning fits into their operation and how to get started with the right tools and strategy.
Speaker at SOUTHEAST: Sherry Bolds, Plant Controller, Dimontonate USA
Speaker at SOUTHEAST: Anton Thomas, Director, Michelin North America, Inc
Speaker at SOUTHEAST: Andy Henderson, President & Chief Executive Officer, Hendtech LLC
SOUTHEAST Session: Sponsored by: UiPath Moderated by: Paul Boris
Speaker at SOUTHEAST: Ronald Graves, President, Poiema Corporation
Speaker at SOUTHEAST: Daniel Lyon, Product Manager, Hawk Ridge Systems
SOUTHEAST Session: Digital twins are rapidly becoming a cornerstone of advanced manufacturing, enabling companies to simulate, optimize, and validate their production processes in a virtual environment before committing to physical execution. This presentation explores the value of digital twins specifically in the domains of CNC machining, robotic automation, and the broader virtual factory. In CNC machining, digital twins replicate the behavior of machines, tools, and part geometries, allowing for precise simulation of toolpaths and real-time detection of potential collisions, over-travel, and inefficiencies. By simulating the exact machine kinematics, spindle dynamics, and tool libraries, manufacturers can reduce setup times, improve part quality, and significantly lower the risk of costly rework or downtime. In robotic work cells, digital twins mirror robotic behavior, motion, and task sequences. This enables manufacturers to program, test, and optimize robot trajectories and tool interactions virtually - ensuring safety, cycle time optimization, and maximum utilization of expensive automation assets. Collision detection, reach analysis, and process synchronization can all be handled digitally before deployment on the shop floor. At the virtual factory level, digital twins provide a holistic view of the entire manufacturing environment - integrating machines, robotics, material flow, operators, and logistics into a unified simulation. This enables strategic decision-making, accurate capacity planning, and the ability to test process changes in a risk-free virtual environment. The result is greater agility, resilience, and efficiency across the entire production lifecycle. Attendees will gain insight into how digital twins reduce risk, increase productivity, and enable smarter planning across manufacturing operations. By harnessing digital twins in CNC machining, robotic systems, and factory-wide simulations, companies can accelerate their journey toward digital transformation and fully realize the promise of Industry 4.0.