The role of learning on industrial simulation design and analysis
Files
Accepted manuscript
Date
2017-07-31
Authors
Gunes Corlu, Canan
Biller, Bahar
Biller, Stephan R.
Dulgeroglu, Onur
Version
OA Version
Citation
C Gunes Corlu, Bahar Biller, Stephan Biller, Onur Dulgeroglu. 2017. "The role of learning on industrial simulation design and analysis." 2017 Winter Simulation Conference. Las Vegas, NV, 2017-12-03 - 2017-12-06
Abstract
The capability of modeling real-world system operations has turned simulation into an indispensable problemsolving methodology for business system design and analysis. Today, simulation supports decisions ranging
from sourcing to operations to finance, starting at the strategic level and proceeding towards tactical and
operational levels of decision-making. In such a dynamic setting, the practice of simulation goes beyond
being a static problem-solving exercise and requires integration with learning. This article discusses the role
of learning in simulation design and analysis motivated by the needs of industrial problems and describes
how selected tools of statistical learning can be utilized for this purpose.