Setembro 2018 vol. 1 num. 5 - XXII Congresso Brasileiro de Engenharia Química

Oral - Open Access.

Idioma principal

EDUCATION IN PROCESS SYSTEMS ENGINEERING FOR PRESCRIPTIVE AND PREDICTIVE ANALYTICS IN INDUSTRY

MENEZES, B. C; KELLY, J. D; , ;

Oral:

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.

Oral:

Palavras-chave: PREDICTIVE,

Palavras-chave:

DOI: 10.5151/cobeq2018-CO.174

Referências bibliográficas
  • [1] JOLY, M; GUT, J. A. W. Chemical Engineering and Operations Research: A Passing Flirtation
  • [2] or Marriage? Revista de Graduação USP, v. 1, p. 5-12, 2016.
  • [3] JOLY, M.; MIYAKE, M. Y. Lessons Learned from Developing and Implementing Refinery
  • [4] Production Scheduling Technologies. Frontiers of Engineering Management, v. 4, p. 325-337,
  • [5] 2017.
  • [6] JOLY, M.; ODLOAK, D.; MIYAKE, M.; MENEZES, B. C.; KELLY, J. D. Refinery
  • [7] Production Scheduling Toward Industry 4.0. Frontiers of Management Engineering, v. 37, p.
  • [8] 1877-1882, 2017.
  • [9] JOLY, M.; ROCHA, R.; SOUZA; L. C. F; TAKAHASHI, M. T; MENDONCA, P. N.;
  • [10] MORAES, L. A. M.; QUELHAS, A. D. The Strategic Importance of Teaching Operations
  • [11] Research for Achieving High Performance in The Petroleum Refining Business. Education for
  • [12] Chemical Engineers, v. 10, p. 1-19, 2015.
  • [13] SANTOS, M.; VIANNA JR., A. S.; LE ROUX, G. C. Programming Skills in the Industry 4.0:
  • [14] Are Chemical Engineering Students Able to Face New Problems? Education for Chemical
  • [15] Engineers, v. 22, p. 69-76, 2018.
Como citar:

MENEZES, B. C; KELLY, J. D; , ; "EDUCATION IN PROCESS SYSTEMS ENGINEERING FOR PRESCRIPTIVE AND PREDICTIVE ANALYTICS IN INDUSTRY", p. 4767-4770 . In: . São Paulo: Blucher, 2018.
ISSN 2359-1757, DOI 10.5151/cobeq2018-CO.174

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