 Realistic modelling of flexibility and dependence in production systems in Industry 4.0 for analysing their productivity and availabilityFei Long, Peter Zeiler and Bernd Bertsche Journal of Risk and Reliability, 2018, vol. 232, issue 2, 174-184 Abstract: Industry 4.0 offers a new opportunity to realize flexible and efficient production. Through modelling the production systems in Industry 4.0, potential delays, interrupts and defaults could be prognosticated and treated on time. Consequently, the productivity and efficiency of production systems can be enhanced. Flexibility has a far-reaching impact on the design of production systems in Industry 4.0 and is still a challenge in the modelling yet. In order to achieve realistic results, dependence must also be taken into account. In this article, a concept of flexible production system in Industry 4.0 is first presented. Then, two models of extended coloured stochastic Petri nets are built and simulated using a software REALIST to investigate the features of flexibility and dependence in production systems in Industry 4.0. As a result, the productivity and availability of production systems are analysed and discussed in the end. Keywords: Modelling; simulation; availability; flexibility; dependence; flexible production; production system; Petri net; extended coloured stochastic Petri nets; Industry 4.0 (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:232:y:2018:i:2:p:174-184 Access Statistics for this article More articles in Journal of Risk and Reliability |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.