A virtual milling machine model to generate machine-monitoring data for predictive analytics

David Lechevalier, Seung Jun Shin, Jungyub Woo, Sudarsan Rachuri, Sebti Foufou

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

2 Scopus citations

Abstract

Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a virtual milling machine model to generate machine monitoring data from process plans. MTConnect is used to report the monitoring data. This paper presents (1) the characteristics and specification of milling machine tools, (2) the architecture for implementing the virtual milling machine model, and (3) the integration with a simulation environment for extending to a virtual shop floor model. This paper also includes a case study to explain how to use the virtual milling machine model for predictive analytics modeling.

Original languageEnglish
Title of host publicationProduct Lifecycle Management in the Era of Internet of Things - 12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers
EditorsAbdelaziz Bouras, Sebti Foufou, Klaus-Dieter Thoben, Benoit Eynard
PublisherSpringer New York LLC
Pages835-845
Number of pages11
ISBN (Print)9783319331102
DOIs
StatePublished - 2016
Externally publishedYes
Event12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015 - Doha, Qatar
Duration: 2015 Oct 192015 Oct 21

Publication series

NameIFIP Advances in Information and Communication Technology
Volume467
ISSN (Print)1868-4238

Other

Other12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015
Country/TerritoryQatar
CityDoha
Period15/10/1915/10/21

Keywords

  • Data analytics
  • Data generator
  • MTConnect
  • Milling
  • STEP

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