@inproceedings{11bbed9137e14a3fa9e11ffd1137ac89,
title = "Defining Production and Financial Data Streams Required for a Factory Digital Twin to Optimise the Deployment of Labour",
abstract = "With the emergence of capable and low cost sensing hardware simulations may be driven from real time production data. Such simulation could be used to predict future system performance. However for effective decision making knowledge of system level behaviour beyond production e.g. financial metrics would also be required. The generation of standard accounting data from simulation models has received little attention in the literature. Herein a modelling approach is demonstrated to generate production and accounting data streams from a Discrete Event Simulation for an idealised production business. The paper demonstrates an approach to assess the influence of production variables (labour arrangement) on system cash flow.",
author = "C. Taylor and Adrian Murphy and Joseph Butterfield and Yan Jin and Peter Higgins and Rory Collins and Colm Higgins",
year = "2018",
month = sep,
day = "5",
doi = "10.1007/978-981-13-2396-6\_1",
language = "English",
isbn = "978-981-13-2395-9",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "3--12",
booktitle = "Recent Advances in Intelligent Manufacturing. First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part I",
}