Process Improvement & Data Automation

Agenda

8:00-8:30 am Breakfast & Networking

8:30-8:45 am Introduction

8:45-10:30 am Presentations

Manufacturers that attend this event will gain practical, proven methods to deliver rapid ROI—often within months—by targeting the highest-impact operational and process inefficiencies. This session is designed for leaders who want actionable insights, not theory, focusing on real-world applications that immediately improve productivity, quality, and cost performance.

Manufacturers are increasingly combining lean operational excellence with data automation and AI to drive measurable performance gains. Rather than running separate improvement and technology initiatives, leading organizations integrate real-time data into daily operations, enabling faster decisions, reduced manual effort, and more consistent execution.

Real-time visibility into metrics such as OEE, downtime, and quality allows teams to shift from reactive problem-solving to proactive management. When supported by automated data capture, standard lean tools—like hourly tracking, Pareto analysis, and root cause problem-solving—become more effective and sustainable. At the same time, automation across engineering, quoting, and transactional workflows reduces errors and cycle time, while AI accelerates insight generation and scalability.

Six Key Points That Drive ROI for Manufacturers:

Real-Time Visibility of Operations

Implement machine monitoring and automated data capture for OEE, downtime, and throughput

ROI: Faster response to issues, reduced unplanned downtime, increased asset utilization

Structured Daily Management with Data

Use hourly boards, daily Pareto charts, and root cause analysis backed by accurate data

ROI: Improved problem-solving speed, sustained performance gains, reduced variability

Automated Quality Control Systems

Deploy SPC, inline inspection, and integrated quality data systems

ROI: Lower scrap and rework, improved customer satisfaction, reduced warranty costs

Digitized and Automated Engineering & Quoting

Leverage design libraries and AI-driven configuration to automate quote generation

ROI: Faster response to customers, reduced engineering time, higher win rates

Transaction Automation Across the Business

Automate order entry, procurement matching, and invoicing with exception handling

ROI: Reduced labor costs, fewer errors, faster cycle times, improved cash flow

Practical Use of AI for High-Value Use Cases

Apply AI to areas like predictive maintenance, quoting, and communication workflows

ROI: Accelerated insights, reduced manual analysis, scalable efficiency without large IT investment