IMPROVING MODEL UNDERSTANDING USING STATISTICAL SCREENING Conference Paper

abstract

• Models of dynamic systems are often constructed to improve system performance by identifying and modifying structures and parameters that drive system behavior. Once identified, these can be used to design and test policies for performance improvement. A preliminary step in developing policies is the identification of high leverage parameters and structures, the influential model sections that drive system behavior. The current work describes the use of statistical screening as a tool to improve model understanding, explanation, and development with a six step process. Statistical screening offers system modelers a user-friendly tool that can be used to help explain how model structure drives behavior. 2010 IEEE.

name of conference

• Proceedings of the 2010 Winter Simulation Conference

authors

• Ford, David

published proceedings

• PROCEEDINGS OF THE 2010 WINTER SIMULATION CONFERENCE

author list (cited authors)

• Taylor, T., Ford, D. N., & Ford, A.

citation count

• 1

complete list of authors

• Taylor, Timothy RB||Ford, David N||Ford, Andrew

publication date

• December 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n0891-7736ISSN  Journal

keywords

• 40 Engineering
• 4010 Engineering Practice And Education
• Prevention

Digital Object Identifier (DOI)

• 10.1109/WSC.2010.5679144

International Standard Book Number (ISBN) 13

• 9781424498666

start page

• 417

end page

• 427

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fwsc.2010.5679144