April 10-14, 2022

The AIChE Spring Meeting and Global Congress on Process Safety is the year’s key technical conference for practicing chemical and process safety engineers, covering the industry's critical needs more broadly and deeply than any other conference. 

Meet Canvass at AlChE Spring Meeting & 18th GCPS 

How AI brings precision manufacturing to chemical processes 

In this case study presentation, learn how a food manufacturer has implemented AI to accurately predict when the production of its animal feed additive product was completed in order to reduce batch-to-batch variability and maximize asset utilization.  

The customer is a Fortune 100 Food Production company, serving clients in more than 160 countries. With a global value chain that includes over 400 crop procurement locations, 250 ingredient manufacturing facilities and numerous innovation centers, the company’s products are used for food, animal feed, industrial and energy uses. As part of their strategy to improve profitability, one of the company’s Ag Processing business units was looking for ways to reduce costs and increase yield in order to improve profit margins for a particular animal feed additive. However, this is a process whereby the yield and production time is vastly impacted by a number of variables that fluctuate depending on the operating conditions, process knowledge and individual operator. The business unit wanted to leverage predictive analytics to reduce the variability in the process, and ultimately lowering production costs and increasing asset utilization.  

The purpose of this session is to highlight successes and challenges of analytics in manufacturing. Presentations will cover how process industries (such as chemical, oil & gas, semiconductor, energy, pharmaceutical, and food) find actionable insights from data to improve product quality, improve productivity and yield, and save money by extracting information and knowledge from data. Topics span challenges around data acquisition and volume, combination and alignment of data from various sources, data quality assurance and real-time analytics applications, but also handling of different data types such as numeric, image and / or text data to improve manufacturing processes.  

Forogh Askari  

 Manufacturing Industry Expert, Canvass AI  

Forogh Askari is Manufacturing Industry Lead at Canvass AI, a software provider that makes AI accessible to industrial engineers. In her role, Forogh enables and educates users on the benefits of using AI in industrial operations, thus bridging the divide between industrial process engineers, data science and machine learning. Prior to joining Canvass, she held similar roles at major industrial-focused technology companies, where she worked with manufacturing and oil and gas companies to develop their digital transformation initiatives through process automation and data analytics.   

 AIChE Spring Meeting & 18th GCPS 

San Antonio, USA 

Date: April 10-14