工业4.0 CPS架构中的应用仿真建模和进化计算方法

R. Ojsteršek, I. Palčič, B. Buchmeister
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引用次数: 0

摘要

工业4.0最近开启了许多与柔性生产系统的生产调度相关的新研究问题。柔性生产系统调度的高复杂性体现在优化问题的多目标性上,这是传统技术无法解决的问题。研究人员正在开发各种基于先进进化计算方法和仿真建模的优化技术,但很难将提出的解决方案应用于工业4.0的现实世界。本章提出了柔性生产系统综合多目标优化的进化计算和仿真建模新方法。在研究部分,本章给出了一个应用实例,用于在工业4.0中提供及时且经济可持续的生产系统的先进优化方法。研究结果证明了使用所提出的CPS体系结构确保生产系统的经济性和时效性优化的重要性和合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applied Simulation Modelling and Evolutionary Computation Methods in Industry 4.0 CPS Architecture
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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