Refinery production scheduling toward Industry 4.0

2018 ◽  
Vol 0 (0) ◽  
pp. 0 ◽  
Author(s):  
Marcel JOLY ◽  
Darci ODLOAK ◽  
MarioY. MIYAKE ◽  
Brenno C. MENEZES ◽  
Jeffrey D. KELLY
Keyword(s):  
Production Scheduling ◽  
Industry 4.0 ◽  
Refinery Production

Production scheduling in the context of Industry 4.0: review and trends

2020 ◽  
Vol 58 (17) ◽  
pp. 5401-5431 ◽  
Author(s):  
Manuel Parente ◽  
Gonçalo Figueira ◽  
Pedro Amorim ◽  
Alexandra Marques
Keyword(s):  
Production Scheduling ◽  
Industry 4.0

An optimization model for refinery production scheduling

2002 ◽  
Vol 78 (3) ◽  
pp. 255-270 ◽  
Author(s):  
Maud Göthe-Lundgren ◽  
Jan T. Lundgren ◽  
Jan A. Persson
Keyword(s):  
Optimization Model ◽  
Production Scheduling ◽  
Refinery Production

Applied Simulation Modelling and Evolutionary Computation Methods in Industry 4.0 CPS Architecture

2020 ◽  
pp. 227-245
Author(s):  
Robert Ojsteršek ◽  
Iztok Palčič ◽  
Borut Buchmeister
Keyword(s):  
Evolutionary Computation ◽  
Production Scheduling ◽  
Industry 4.0 ◽  
Production Systems ◽  
Simulation Modelling ◽  
Flexible Production ◽  
Multi Objective ◽  
Flexible Production Systems ◽  
Optimisation Methods ◽  
New Research

Industry 4.0 has recently opened a number of new research questions relating to the production scheduling of flexible production systems. The high complexity of flexible production systems` scheduling is reflected in the multi-objective nature of optimisation problems, which cannot be solved satisfactorily with conventional techniques. Researchers are developing various optimisation techniques based on the use of advanced evolutionary computation methods and simulation modelling, but it is difficult to transmit the proposed solutions to the real world of Industry 4.0. The chapter present new method of evolutionary computation and simulation modelling for the purpose of comprehensive multi-objective optimisation of flexible production systems. In the research part, the chapter presents an applied example of the advanced optimisation methods used in order to provide timely and economically sustainable production systems in Industry 4.0. The research results prove the importance and justification of using the proposed CPS architecture ensuring economic and time optimised production systems.

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