Recorded Webinars
Aligning Alarms with Safety, Quality, and Business Objectives
Visualizing the relationship between operating envelope and alarm limits revolutionizes alarm rationalization, producing an alarm system that performs better, with a fraction of the effort traditionally used. The operating envelope uses the process relationships captured implicitly in the plant history to link operations and achievement of business objectives. This then ties alarm limits to achieving plant performance, beyond safety and plant uptime.
Real-Time Operating Envelope Applications: Basics to Cutting-Edge
Geometric Process Control (GPC) helps users understand, improve, and operate their processes.
This webinar focuses on interpreting the full operating envelope, starting from offline response surface applications and moving through typical process optimization, event prediction and digital twin operations to transient, multi-modal models and finally look at some current developments and their promise for the future. Demonstrations with C Process Modeler (CPM), our real-time product, are included.
Multi-envelope models for batch, fed-batch, cyclic, grade-change and all sorts of non-continuous processes
This webinar introduces models for real processes such as batch, fed-batch, cyclic, grade-change and all sorts of non-continuous processes that require more than one Operating Envelope.
The Science Linking Operational Excellence and Operating Envelopes
Operating Envelopes link process operations and outcomes, typically captured in leading and lagging KPIs. This webinar demonstrates applying this technology to the Operational Excellence process, providing key missing tools to evaluate KPIs for consistency and demonstrating how to choose the right KPIs for driving business objectives. A must-view for anyone involved in OpEx, which should be everyone!
A Digital Twin For Event Prediction and Mitigation
Imagine having 10 minutes or more warning of upcoming abnormal events such as compressor surge or turbine trips, and days warning of slowly developing equipment faults. Operators would have the time to adjust the process to avoid or minimize the impact of the events! This month’s webinar shows how you can build a digital twin model from process history and existing engineering knowledge in hours or days.
How to Reduce Process Energy Usage
Record high energy prices put a focus on reducing your plant energy expenditure. How can this be done quickly without expensive modelling or data collection? In this webinar we show you how to find operational changes to minimize your energy usage using only data already present in your plant historian. Implementing these findings with operations quickly can then have immediate and significant cost savings.
A Digital Twin For Process Operations
Imagine how much better your process would perform if every Process Operator had your Most Experienced, Best-Ever, Expert Operator always at his side. Well now you can and with the Expert’s continuous help your Process Operation will be improved reducing operating costs, emissions and energy usage and delivering higher yields, more consistent product and a safer process.
Is there still a Role for Six Sigma? Improving Six Sigma to Expand its Relevance
Challenges facing implementation of six sigma and lean manufacturing processes include a focus on gut-driven rather than data-driven projects and getting full management buy-in. This is a failure of the analytic tools used in the process. As they focus in detail on the relationship of a small number of variables, project selection is often done intuitively, pre-screening and judging the data and improvement possibilities.
Enhancing the value of Digital Twins with GPC
Digital Twins are showing great promise for the processing industries. The applications of Digital Twins span disciplines of operation, including process control, predictive maintenance, optimization, virtual testing, process improvement, and more. But these benefits come from bringing more and more diverse data sources together, and engineers already struggle to make use of the smaller datasets they use today!
Build an Abnormal Event Detection Model
Abnormal events like mechanical faults and unexpected disturbances cause process variation leading to degraded quality and even lost production time due to the actions of safety systems resulting in trips. By giving the operator advanced warning of these developing situations, it can provide crucial extra time to react and keep the system running, improving the time on line as well as providing quality and safety benefits.
Operational Process Improvement: You already have the Data
You already have the data for enormous potential in improving plant operation through making operational changes to capture, repeat, and improve best historic operation. Understanding your process behavior is key to unlocking benefits such as higher throughput, better product, lowest costs, less waste, and more uptime.
