Defining Production and Financial Data Streams Required for a Factory Digital Twin to Optimise the Deployment of Labour

C. Taylor, Adrian Murphy, Joseph Butterfield, Yan Jin, Peter Higgins, Rory Collins, Colm Higgins

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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.
Original languageEnglish
Title of host publicationRecent Advances in Intelligent Manufacturing
Place of PublicationSingapore
PublisherSpringer
Chapter10
Pages3-12
Volume923
ISBN (Electronic)978-981-13-2396-6
ISBN (Print)978-981-13-2395-9
Publication statusPublished - Sep 2018

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    Taylor, C., Murphy, A., Butterfield, J., Jin, Y., Higgins, P., Collins, R., & Higgins, C. (2018). Defining Production and Financial Data Streams Required for a Factory Digital Twin to Optimise the Deployment of Labour. In Recent Advances in Intelligent Manufacturing (Vol. 923, pp. 3-12). Springer.