New manufacturing modeling methodology: a hybrid approach to manufacturing enterprise simulation

  • Authors:
  • Luis Rabelo;Magdi Helal;Albert Jones;Jason Min;Young-Jun Son;Abhijit Deshmukh

  • Affiliations:
  • University of Central Florida, Orlando, FL;University of Central Florida, Orlando, FL;National Institute of Standards and Technology, Gaithersburg, MD;National Institute of Standards and Technology, Gaithersburg, MD;University of Arizona, Tucson, AZ;University of Massachusetts, Amherst, MA

  • Venue:
  • Proceedings of the 35th conference on Winter simulation: driving innovation
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions. engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on the system as measured by one or more performance measures. In this paper, we focus on production decisions, where discrete-event simulation models perform that evaluation. We argue that such an evaluation is limited in time and scope, and does not capture the potential impact of these decisions on the whole enterprise. We propose integrating these discrete-event models with system dynamic models and we show the potential benefits of such an integration using an example of semiconductor enterprise.