CEP: AIChE Journal Highlight - How Big Data Analytics Will Revolutionize Chemical Manufacturing


Engineering processes, operating units, and equipment are designed with clear objectives and usually operated under well-controlled circumstances as designed. However, for emerging situations that are not factored into the design, data become indispensable assets in decision-making for safe and efficient operations. In the September AIChE Journal Perspective article, “Process Data Analytics in the Era of Big Data,” S. Joe Qin, who is on leave from the Dept. of Chemical Engineering and Materials Science at the Univ. of Southern California, Los Angeles to work at the Chinese Univ. of Hong Kong, Shenzhen, demonstrates how data have been effectively used in process operations and control. He also provides new perspectives on how chemical process systems might evolve to a new paradigm of data-enhanced operations and control.


Would you like to access the complete CEP Article?

No problem. You just have to complete the following steps.

You have completed 0 of 2 steps.

  1. Log in

    You must be logged in to view this content. Log in now.

  2. AIChE Membership

    You must be an AIChE member to view this article. Join now.

Copyright Permissions: 

Would you like to reuse content from CEP Magazine? It’s easy to request permission to reuse content. Simply click here to connect instantly to licensing services, where you can choose from a list of options regarding how you would like to reuse the desired content and complete the transaction.