The simulation design and analysis of a flexible manufacturing system with automated guided vehicle system

Insup Um, Hyeonjae Cheon, Hongchul Lee

Research output: Contribution to journalArticlepeer-review

73 Citations (Scopus)


This paper presents the simulation design and analysis of a Flexible Manufacturing System (FMS) with an Automated Guided Vehicle system (AGVs). To maximize the operating performance of FMS with AGVs, many parameters must be considered, including the number, velocity, and dispatching rule of AGV, part-types, scheduling, and buffer sizes. Of the various critical factors, we consider the following three: (1) minimizing the congestion; (2) minimizing the vehicle utilization; and (3) maximizing the throughput. In this paper, we consider the systematic analysis methods that combine a simulation-based analytic and optimization technique that is Multi-Objective Non-Linear Programming (MONLP) and Evolution Strategy (ES). MONLP determines the design parameters of the system through multi-factorial and regression analyses. ES is used to verify each parameter for simulation-based optimization. A validation test for the two methods is conducted. This method-based approach towards design yields the correct experimental results, ensures confidence in the specification of design parameters and supports a robust framework for analysis.

Original languageEnglish
Pages (from-to)115-122
Number of pages8
JournalJournal of Manufacturing Systems
Issue number4
Publication statusPublished - 2009 Dec


  • Automated Guided Vehicle System
  • Evolution Strategy
  • Flexible Manufacturing System
  • Multi Objective Nonlinear Programming
  • Simulation

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering


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