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Production Scheduling Re-Invented

SOUTHWEST Session: LillyWorks’ Protected Flow Manufacturing (PFM) solves “The Late Problem” for manufacturers by implementing the “Dynamic Production Method” (DPM). DPM applies 3 principles from Lean/TOC and other manufacturing improvement techniques to deliver fast results so that Manufacturers can quickly see their On-Time Delivery go up, and their production lead-times go down. Manufacturers can implement DPM quickly using LillyWorks’ Protected Flow Manufacturing (PFM) software. PFM speeds the flow of information to production personnel, so they have the visibility to make the right decisions to accelerate the flow of material and workorders through the manufacturing shop. Manufacturers implementing PFM typically see significant improvements in OTD, reductions in production leadtimes, and increased throughput within 60 – 90 days. PFM can be used in a stand-alone mode, or tied directly to the company’s ERP system.

Paul Boris

Speaker at SOUTHWEST: Paul Boris, Strategic Accounts, Manufacturing & Industrial Operations, UiPath

Matt Jones

Speaker at SOUTHWEST: Matt Jones, Head of GTM, NA, Augmentus Robotics

Austin Justice

Speaker at SOUTHWEST: Austin Justice, Vice President, CMMC Compliance Guide

Arjun Subramaniam

Speaker at SOUTHWEST: Arjun Subramaniam, Director of Robotics and AI, Blue Onyx Systems

Billy Bogue

Speaker at SOUTHWEST: Billy Bogue, President, Matsuura Machinery USA

Evolution of Material Disruption with Automation & AI

SOUTHWEST Session: This demonstration showcases how agentic automation streamlines material replacement and inventory management using UiPath Maestro. The flow begins with an MTR (Material Test Report) being received, processed, and linked to its corresponding purchase order (PO). Upon identifying a defective material, the system transitions to a Maestro-driven workflow where an intelligent agent analyzes the issue, reviews inventory, and finds suitable substitute materials. The agent then recommends replacements based on availability and need. A human operator reviews and refines these recommendations—such as adjusting shipping quantities—and approves an automatically drafted email prepared by the remediation agent for the customer and requisition team. The demo concludes by highlighting how this automation fits into a larger source-to-pay and manufacturing management process, improving speed, accuracy, and end-to-end efficiency.

Built to Sell: How Configuration Is Becoming the Hottest Way Manufacturers Are Fueling Sales Growth

SOUTHWEST Session: Manufacturers are rethinking how they sell — and configuration has quietly become the hottest lever for growth. In an era where 86% of manufacturers say they’ve lost deals due to slow, manual quoting, the ability to configure products quickly and accurately isn’t just an operational advantage — it’s a sales accelerator. This session explores how leading manufacturers are modernizing their quoting and selling processes with connected CPQ and AI-driven tools that integrate seamlessly with their ERP systems — without replacing them. You’ll see how “Built to Sell” insights are reshaping sales strategies across industries, helping teams quote faster, sell smarter, and scale revenue without adding complexity.

Edge AI: The Future of Industrial Machine Health Monitoring

SOUTHWEST Session: Driven by the rise of Edge AI, industrial machine health monitoring is undergoing a transformative shift—enabling smarter, faster, and more autonomous decision-making at the edge. In this session, we’ll explore how edge computing and artificial intelligence are converging to deliver real-time insights directly at the source of data generation, minimizing latency and enhancing responsiveness. We'll examine traditional Condition-based Monitoring (CbM) methods and their limitations in dynamic industrial environments, then dive into how predictive and prescriptive maintenance strategies—utilizing Edge AI—are anticipating failures, optimizing performance, and reducing costly downtime. This evolution is reshaping the future of industrial reliability, operational efficiency, and long-term asset sustainability.