Focus EMI

The Northwest Analytics team is excited to be participating the AIChE Spring Meeting.  It is the year’s key technical conference for practicing chemical engineers. A wide range of subjects relevant to the current needs of industry is covered. Plus, GCPS covers the critical needs of process safety practitioners more broadly and deeply than any other conference.

The time-delayed and disconnected nature of the lab relative to the rest of the plant operations plays a significant role in the minimization of the importance of the lab data on active manufacturing processes. This presentation will delve into how current manufacturing technology ecosystems have evolved to enable the active linking of the lab data with related process and operations data sources through real-time analytics to drive the immediate course corrections necessary to keep process in control and product within specification.

It’s all too common for a manufacturing plant to be overloaded with alarms that sound and then are ignored. Most of those alarms are dismissed because operators are unable to discern which ones are important and which are just meaningless noise. To address alarm fatigue, many leading manufacturers are utilizing real-time analytics-based monitoring to help operators and process engineers detect and understand potential issues before they impact operations. This presentation will delve into a holistic approach for managing risk within the plant and throughout the entire organization.

The Dow Chemical Company, a Northwest Analytics’ customer, has actively been pursuing Enterprise Manufacturing Intelligence (EMI) for a number of years. And with more than 60 installations worldwide, Dow is an industry expert on the subject. They will be talking about their experiences and learnings at the upcoming AIChE Spring Meeting next week in San Antonio, Texas including:

Manufacturing Analytics – Changing the way organizations operationalize data
 

As more pharmaceutical and life sciences companies are beginning to integrate tools to meet CPV guidelines, the focus  is on constantly monitoring the most important parameters (Critical Process Parameters- CPPs) effecting product quality (Critical Quality Attributes- CQAs). Although analytics is the key to implementing these projects many challenges exist. Where do you start a CPV initiative? Who should be involved? How do you ensure success?