Chang, G. A., & Peterson, W. R. (2015, June), Modeling and Analysis of Flexible Manufacturing Systems:  A Simulation Study   Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.24499

\bibitem{asee_peer_24499}
  Chang, G. A., \& Peterson, W. R. (2015, June), \emph{Modeling and Analysis of Flexible Manufacturing Systems:  A Simulation Study }
  Paper presented at 2015 ASEE Annual Conference \& Exposition, Seattle, Washington.
  10.18260/p.24499

Guanghsu A. Chang and William R. Peterson.  "Modeling and Analysis of Flexible Manufacturing Systems:  A Simulation Study ".  2015 ASEE Annual Conference & Exposition, Seattle, Washington, 2015, June.  ASEE Conferences, 2015.  https://peer.asee.org/24499 Internet.  14 Mar, 2025

\bibitem{asee_peer_24499}
  Guanghsu A. Chang and William R. Peterson.
  "Modeling and Analysis of Flexible Manufacturing Systems:  A Simulation Study ".
  \emph{2015 ASEE Annual Conference \& Exposition, Seattle, Washington, 2015, June}.
  ASEE Conferences, 2015.
  https://peer.asee.org/24499 Internet.  14 Mar, 2025

@INPROCEEDINGS{asee_peer_24499
author = "Guanghsu A. Chang and William R. Peterson"
title = "Modeling and Analysis of Flexible Manufacturing Systems:  A Simulation Study "
booktitle = "2015 ASEE Annual Conference \& Exposition"
year = "2015"
month = "June"
address = "Seattle, Washington"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/24499}
number = {10.18260/p.24499}
}

TY  - CPAPER
AB  -      Modeling and Analysis of Flexible Manufacturing Systems:                                   A Simulation Study                                             AbstractFlexible Manufacturing Systems (FMS) are highly modular reconfigurable systems, consisting ofa group of processing workstations (such as CNC machining centers), and interconnected by anautomated material handling and storage system. The adoption of a Flexible ManufacturingSystem involves a big investment and a high degree of uncertainty for today’s factories. With theaim of combining production flexibility and productivity, the design decisions of a flexiblemanufacturing system must be based on FMS system performance. However, the currentliterature does not provide enough attention to analyze the system performance in a Flexiblemanufacturing system with different layout configurations. Obviously, deterministic modelsbased on discrete-event simulation can be utilized to design production systems such as FMSs.In this research, ProModel software is used to simulate different models and evaluate the systemperformance in different FMS layouts. Based on the simulation models, we investigated theeffectiveness and efficiency of FMS including the following system performance metrics such asmanufacturing lead time (MLT), resource utilization, inventory and queue levels, throughput,bottleneck analysis, and number of workstations. However, these decisions of FMS design arecritical and to be investigated in initial phase with extreme care ensuring that the designed FMSwill successfully fulfill the demands of fluctuating market. Finally, this paper presents a casestudy performed for performance evaluation of an existing manufacturing system. The resultshows that the simulation models can effectively help the users to rapidly response to the mix ofpart styles and the change of the demand patterns..
AU  - Guanghsu A. Chang
AU  - William R. Peterson
CY  - Seattle, Washington
DA  - 2015/06/14
PB  - ASEE Conferences
TI  - Modeling and Analysis of Flexible Manufacturing Systems:  A Simulation Study 
UR  - https://peer.asee.org/24499
DO  - 10.18260/p.24499
ER  -