Abstract
In spite of the increasing digitization in manufacturing systems, the amount of publicly available data is still low. Therefore, synthetic data are frequently used in material flow simulations. In this paper, we present a new approach to generate material flow networks based on random walks. Random walks are well suited to mimic the movement of a job through a manufacturing system. By altering the parameters of a random walk the material flow can be controlled. Our aim is to show how random walks can be used to generate material flow networks with varying cluster structures as one example.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
