A value stream mapping interface for manufacturing simulation

Chao Meng, Sojung Kim, Sung Joong Kim, Young Jun Son

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

2 Scopus citations


Value stream mapping (VSM) has been increasingly used to achieve lean and sustainable manufacturing. By modeling value stream maps in discrete event simulation (DES), the performance of future states of a manufacturing system can be accurately evaluated considering the dynamics and uncertainty in manufacturing processes. This paper aims at developing a formal interface between value stream maps and DES based on multiple performance metrics (e.g. production efficiency and energy consumption), which will facilitate modeling value streams in simulation. The proposed interface is developed in Unified Modeling Language (UML), where the UML class diagram is used to formalize the properties of static entity (e.g. processes), dynamic entity (e.g. products), control entity (e.g. production control), buffer entity, and measurements. The UML activity diagram is used to define production flow and information flow, and the UML state diagram is used to define the states of a dynamic entity in value stream maps and DES. A case study based on a manufacturing industry is considered, where two simulation models are developed to represent both the current and future states of the studied system. The developed simulation models are successfully validated against historical data.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2015
PublisherInstitute of Industrial Engineers
Number of pages10
ISBN (Electronic)9780983762447
StatePublished - 2015
EventIIE Annual Conference and Expo 2015 - Nashville, United States
Duration: May 30 2015Jun 2 2015

Publication series

NameIIE Annual Conference and Expo 2015


OtherIIE Annual Conference and Expo 2015
Country/TerritoryUnited States


  • Discrete event simulation
  • Interface design
  • Lean manufacturing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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