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

Petros Papapanagiotou, James Vaughan, Filip Smola, Jacques D Fleuriot

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the 54th Hawaii International Conference on System Sciences 2021
Pages1001 - 1010
Number of pages10
DOIs
Publication statusPublished - 5 Jan 2021
Event54th Hawaii International Conference on System Sciences - Kauai, United States
Duration: 5 Jan 20218 Jan 2021
https://hicss.hawaii.edu/

Conference

Conference54th Hawaii International Conference on System Sciences
Abbreviated titleHICSS-54
CountryUnited States
CityKauai
Period5/01/218/01/21
Internet address

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