Acceptance Sampling to Aid in Verification of Computational Simulation Models

39 Pages Posted: 17 May 2019

See all articles by Erika Frydenlund

Erika Frydenlund

Virginia Modeling, Analysis and Simulation Center

Andrew Collins

Old Dominion University

Christopher Lynch

Virginia Modeling, Analysis and Simulation Center

Mike Robinson

Virginia Modeling, Analysis and Simulation Center

Date Written: April 16, 2019

Abstract

Advances in computing allow for the construction of increasingly large and complex models and simulations. Exhaustive error checking of these intricate, large computational simulation models is daunting and potentially impractical. This paper explores an approach to error checking simulation model components using an Acceptance Sampling methodology from the field of industrial manufacturing. We propose a systematic process in which a simulation inspector examines only a fraction of the computational model elements to give a measure of the errors present. Our proposed process contributes to established verification processes by sampling from the simulation components to identify whether the model is acceptably error-free or which components require correcting. The proposed verification methodology relies on a number of statistical constraints, but serves the interests of simulation professionals as part of the overall verification process. We illustrate the application and usefulness of our methodology through a case study of a citywide microscopic transportation model.

Keywords: verification and validation, statistical quality control, acceptance sampling, transportation simulation

JEL Classification: C63, L91

Suggested Citation

Frydenlund, Erika and Collins, Andrew and Lynch, Christopher and Robinson, R. Michael, Acceptance Sampling to Aid in Verification of Computational Simulation Models (April 16, 2019). Available at SSRN: https://ssrn.com/abstract=3373344 or http://dx.doi.org/10.2139/ssrn.3373344

Erika Frydenlund (Contact Author)

Virginia Modeling, Analysis and Simulation Center ( email )

Norfolk, VA 23529-0222
United States

Andrew Collins

Old Dominion University ( email )

Norfolk, VA 23529-0222
United States

Christopher Lynch

Virginia Modeling, Analysis and Simulation Center ( email )

Norfolk, VA 23529-0222
United States

R. Michael Robinson

Virginia Modeling, Analysis and Simulation Center ( email )

Norfolk, VA 23529-0222
United States

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