z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom