Industry 4.0 – holistic perspective: modelling and simulation applications in intelligent manufacturing systems

Abstract

The simulation includes enormous technological tools and methods for the successful implementation of digital manufacturing as it allows product, process, system design, and configuration to be tested and verified. With the growth in the industrial sector, information systems and software products play an important role in the investments of technology in automation. The industrial sector has enabled the use of simulations to directly optimize the design and production of systems with computational growth. Modeling takes advantage of the integration of computing and controlling, enabling intelligent production and sustainability to greatly increase the efficiency of industrial systems. Recent technologies have been focusing on the development of solutions for increasing customer expectations, competition conditions, product and service providers. The information used for production is integrated with the simulation requirements in association with other software platforms in a flexible manner. In industry 4.0, various modeling and simulation techniques for automation of the industrial process in the integration of service-oriented architecture into contemporary management systems are presented and the modeling techniques available in the literature are discussed. Important milestones of simulation technologies in product, process and system design of digitized manufacturing systems have been investigated and the latest industrial and research approaches in basic manufacturing areas have been examined. It explores important milestones in the evolution of simulation technologies and the latest industrial and research applications and findings. Based on this review, future trends and challenges to be met in the field are summarized in order to reduce costs in current practices, increase quality and shorten the time to market of manufactured goods.