CEP: March 2016

Big data is a big topic with a lot of potential. The articles in this month's special section explore the topic of big data analytics and its potential for the CPI. Other topics in this issue include PID features and options and optimizing fermenter operation.

Editorial

I See Your Point

I hear what you’re saying. I catch your drift. How do you express understanding? Most of us have a preferred communication and learning style — visual, auditory, kinesthetic. Some literature includes a fourth style, reading/writing. To deliver a message more effectively, we often use multiple modes of communication — for instance, illustrating an oral presentation with PowerPoint slides.

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Optimize Aerobic Fermenter Operation

March
2016
Reactions and Separations
Gregory Benz
Fermenter optimization involves determining a profile of agitator and compressor speeds that satisfy the required oxygen transfer rates. Optimization minimizes power consumption, which will save you money.

Big Data Analytics: Meet the Authors

March
2016
Special Section
Richard D. Braatz / Leo H. Chiang / Lloyd F. Colegrove / Salvador GarcÍa Muñoz / Chaitanya Khare / John F. MacGregor / Marco S. Reis / Mary Beth Seasholtz / David White

Big Data: The Four Vs

March
2016
Special Section
Big data is a big topic with a lot of potential. Before realizing this potential, however, we need to get on the same page about what big data is, how it can be analyzed, and what we can do with it.

Big Data: What Is It?

March
2016
Special Section
David White
Big data can pave the way to greater business and operational insight. New approaches and technologies are poised to help you navigate your journey.

Big Data: Success Stories in the Process Industries

March
2016
Special Section
Salvador García-Muñoz, John F. MacGregor
Big data holds much potential for optimizing and improving processes. See how it has already been used in a range of industries, from pharmaceuticals to pulp and paper.

Big Data: Getting Started on the Journey

March
2016
Special Section
Lloyd F. Colegrove, Mary Beth Seasholtz, Chaitanya Khare
This article discusses some experiences and challenges in establishing an enterprise manufacturing intelligence (EMI) platform at a major chemical manufacturing company, and recommends steps you can take to convince your management to harness big data.

Big Data: Challenges and Future Research Directions

March
2016
Special Section
Marco S. Reis, Richard D. Braatz, Leo H. Chiang
The big data movement is creating opportunities for the chemical process industries to improve their operations. Challenges, however, lie ahead.
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