Information required for operational level decision-making in continuous process operations differs from that in discrete processes. This document provides guidelines to the development of measurements that facilitate effective performance management within continuous processing plants, common in Oil and Gas, Mining, Metals and Minerals Processing and Chemicals Manufacturing industries.
Performance measurements (KPIs) aggregated over defined time intervals can mask inefficiency in processing plants. The complexity and dynamic nature of variables in processing plants requires a different approach to performance management when compared to discrete processes.
This document will introduce the concept of Time-in-State (TIS) Management as well as the related TIS Metric to be used to measure performance. The paper also compares the effectiveness of the TIS Metric (TISM) in continuous processes to that of Overall Equipment Effectiveness (OEE), more suited to discrete processes and packaging lines.
Date Published: February 2014
- Dr. Kobus van der Merwe, IME
- Gerhard Greeff, Bytes Universal Systems
- Rhett Gover, Wipro Technologies
- Jose Luis Maldonado, Bavaria S.A
- Yashin Parsard, Omnia Fertilizers
- Dave Emerson, Yokogawa
- Christian-Marc Pouyez, Invensys
- John Rowland, Sappi Southern Africa
- Jan Snoeij, CGI
- Jim Toman, Grantek Systems Integration Inc.
- Paula D. Puess, Rockwell Automation
- Eric C. Cosman, The Dow Chemical Company
- Jonathan Meyer, Exxaro