Welcome to the InfoSci Platform
Applied Simulation Modelling and Evolutionary Computation Methods in Industry 4.0 CPS Architecture

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

Robert Ojsteršek, Iztok Palčič, Borut Buchmeister
Copyright: © 2020 |Pages: 19
ISBN13: 9781799827252|ISBN10: 1799827259|EISBN13: 9781799827269
DOI: 10.4018/978-1-7998-2725-2.ch011
Cite Chapter Cite Chapter

MLA

Ojsteršek, Robert, et al. "Applied Simulation Modelling and Evolutionary Computation Methods in Industry 4.0 CPS Architecture." Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing, edited by Isak Karabegović, et al., IGI Global, 2020, pp. 227-245. https://doi.org/10.4018/978-1-7998-2725-2.ch011

APA

Ojsteršek, R., Palčič, I., & Buchmeister, B. (2020). Applied Simulation Modelling and Evolutionary Computation Methods in Industry 4.0 CPS Architecture. In I. Karabegović, A. Kovačević, L. Banjanović-Mehmedović, & P. Dašić (Eds.), Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing (pp. 227-245). IGI Global. https://doi.org/10.4018/978-1-7998-2725-2.ch011

Chicago

Ojsteršek, Robert, Iztok Palčič, and Borut Buchmeister. "Applied Simulation Modelling and Evolutionary Computation Methods in Industry 4.0 CPS Architecture." In Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing, edited by Isak Karabegović, et al., 227-245. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2725-2.ch011

Export Reference

Mendeley
Favorite

Abstract

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.