Challenges in developing a computational platform to integrate data analytics with simulation-based optimization

Yunpeng Li, Utpal Roy

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

Abstract

The focus of the work presented in this paper is to identify and find possible solutions for major implementation challenges in designing a computational platform for integrating data analytics paradigm with the simulation-based optimization technique to facilitate the modeling of a smart manufacturing system. A simulation model of a manufacturing system generates real-time monitoring data for machine status and these data are then mined by data mining algorithms to discover hidden knowledge that might not be predefined in the simulation model. The new knowledge is then fed into the simulation model such that the model adapts and evolves, and eventually it can predict future status. This procedure involves heterogeneous modeling techniques, information exchange among different tools, as well as model composition and interaction. We extend an early presented "Hypercube" information model that was specifically developed for the purpose of formal representation of smart manufacturing systems, in order to harmonize the information required by the simulation modeling tool and the data analytics tool. A strong emphasis is given to emerging areas of multi-domain and multiscale modeling by means of integration and interoperability between existing modeling tools and technologies. A specific case study related to preventive and predictive maintenance of a typical manufacturing system has been elaborated in the paper as the initial scope and application area in order to illustrate and validate the proposed computational framework.

Original languageEnglish (US)
Title of host publication35th Computers and Information in Engineering Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume1B-2015
ISBN (Electronic)9780791857052
DOIs
StatePublished - 2015
EventASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015 - Boston, United States
Duration: Aug 2 2015Aug 5 2015

Other

OtherASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015
CountryUnited States
CityBoston
Period8/2/158/5/15

Keywords

  • Data analytics
  • Optimization
  • Simulation
  • Smart manufacturing system
  • Virtual factory

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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  • Cite this

    Li, Y., & Roy, U. (2015). Challenges in developing a computational platform to integrate data analytics with simulation-based optimization. In 35th Computers and Information in Engineering Conference (Vol. 1B-2015). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2015-46410