Challenges of Manufacturing Big Data

Manufacturing is the original denizen of big data, creating and storing more data in a day than most companies do in a month. Unlike business data, few resources have been focused on unlocking and harnessing the value of manufacturing big data. Mr. Colegrove will discuss the unique potential manufacturing data holds for today’s modern manufacturer and the need for data aggregation across multiple data sources.

Unlocking the Value of EMI

In the session, Mr. Colegrove will highlight specific areas of EMI application for continuous and batch manufacturing, and the ROI Dow Chemical has realized with EMI. With $1M-$2M savings per plant each year attributed to EMI, Dow continues to aggressively proliferate the technology across the enterprise. With an eye on continuous improvement of the EMI deployments, Dow adheres to a list of key implementation best practices that are applicable across industries.

Lloyd Colegrove- Questions & Answers

Moving to the Predict and Prevent Paradigm

Real-time analytics is now allowing manufacturers to monitor the most important variables, which have the biggest impact on product quality. This is allowing companies to prevent issues before they occur, and in the process provide a strong return on investment, less product risk, and better regulatory compliance. We will explore how these projects are best approached, and the type of results you may expect.

Manufacturing Intelligence and Continuous Process Verification

This session discusses the principles and statistical approaches which continually maintain process control rather than just monitor manufacturing operations. These applications span from incoming raw materials to the finished product. You will also hear how CPV is being implemented successfully, with practical examples provided by one of the global top ten pharmaceutical manufacturers.