EDUCATION IN PROCESS SYSTEMS ENGINEERING FOR PRESCRIPTIVE AND PREDICTIVE ANALYTICS IN INDUSTRY
Author(s) -
Brenno C. Menezes,
Jeffrey D. Kelly
Publication year - 2018
Publication title -
blucher chemical engineering proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5151/cobeq2018-co.174
Subject(s) - computer science , analytics , software deployment , predictive analytics , automation , scheduling (production processes) , data science , data analysis , process (computing) , heuristic , big data , industrial engineering , software engineering , artificial intelligence , engineering , data mining , mechanical engineering , operations management , operating system
We present an initiative for education in Process System Engineering (PSE) covering industrial applications in both prescriptive and predictive analytics. Prescriptive analytics or decision-automation is the science of automating the decisionmaking of any physical system with respect to its design, planning, scheduling, control and operation using any combination of optimization, heuristic, machine-learning and cyber-physical algorithms. Predictive analytics or data-analytics is the science of examining raw data with the purpose of drawing conclusions on the behavior of the systems using data reconciliation and parameter estimation techniques within real-time optimization and control environments. Examples for beginner, intermediate and advanced levels guide the open-users of this educational platform in PSE to evolve toward more complex problems for research, development and deployment of industrial applications in the chemical engineering and multi-related fields.
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