Conformance checking and classification of manufacturing log data

Matthias Ehrendorfer, Juergen Albrecht Fassmann, Juergen Mangler, Stefanie Rinderle Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Currently, there is a gap between how data is collected on the shop floor based on resources such as machines, robots, and Autonomous Guided Vehicles (AGVs) and the manufacturing orchestration software that sits above these resources and controls their interaction from the point of the creation of single products. Shop-floor resources create data streams that are saved in databases, cleaned, and then re-contextualized, i.e., to connect the data to orders, batches, and single products. New analysis prospects arise when integrating this data and analysis methods with the process-oriented analysis perspective. This paper exploits these prospects based on a real-world case: BPMN models are created for the manufacturing of two real-world products: (1) a low volume, high complexity lower-housing for a gas turbine and (2) a high volume, low complexity, small tolerance valve lifter for a gas turbine. Instead of collecting the data independently based on the participating machines, the data collection of 30+ values is modeled into the BPMN models and enacted by a workflow engine, resulting in execution logs. Conformance checks are conducted and interpreted for the scenarios and it is shown how existing classification and clustering techniques can be used to predict good and bad parts, ex-post and potentially at run-time.

Original languageEnglish
Title of host publicationProceedings - 21st IEEE Conference on Business Informatics, CBI 2019
EditorsJorg Becker, Dmitriy Novikov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages569-577
Number of pages9
ISBN (Electronic)9781728106502
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event21st IEEE Conference on Business Informatics, CBI 2019 - Moscow, Russian Federation
Duration: 15 Jul 201917 Jul 2019

Publication series

NameProceedings - 21st IEEE Conference on Business Informatics, CBI 2019
Volume1

Conference

Conference21st IEEE Conference on Business Informatics, CBI 2019
Country/TerritoryRussian Federation
CityMoscow
Period15/07/1917/07/19

Keywords

  • BPMN
  • Clustering
  • Conformance
  • Data Analysis
  • Manufacturing
  • XES

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