Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/70734

A Real-world Case Study of Process and Data Driven Predictive Analytics for Manufacturing Workflows

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Title:A Real-world Case Study of Process and Data Driven Predictive Analytics for Manufacturing Workflows
Authors:Papapanagiotou, Petros
Vaughan, James
Smola, Filip
Fleuriot, Jacques
Keywords:Case Studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms
analytics
formal methods
manufacturing
simulation
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Date Issued:05 Jan 2021
Abstract:We present a novel application of business process modelling and simulation of manufacturing workflows. Using formal methods, we produce correct-by-construction executable models that can be simulated in an interleaved way. The simulation draws advanced analytics from live IoT monitoring as well as an ERP system to provide predictive business intelligence. We describe our process and resource modelling efforts in the context of a collaborative project with two manufacturing partners. We evaluate our results based on the improvement of the scheduling accuracy for real production flows.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/70734
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.122
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Case Studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms


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