ADD-More: Automated dynamic display of measures of risk and error

Ashkan Negahban, Mohammadnaser Ansari, Jeffrey S. Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


We develop an ExcelR Add-In that automates the evaluation and visualization of measures of risk and error (MORE) for performance measures that change over time. We use an example with a non-stationary arrival process to demonstrate the applicability and importance of a such tool. The tool takes raw simulation output, automatically calculates the pertinent MORE values, and generates side-by-side MORE plots for different time ticks according to a user-specified interval to characterize how the mean and percentiles of a time-dependent statistic and their corresponding confidence intervals change over time. The ADD-MORE tool significantly reduces the burden on the simulation analyst and can potentially have a high impact on simulation practice as there is no easy way to perform such analysis using existing tools. The tool is made available online for free and can potentially be integrated into existing simulation and/or statistical software packages to support output analysis and decision-making.

Original languageEnglish (US)
Title of host publication2016 Winter Simulation Conference
Subtitle of host publicationSimulating Complex Service Systems, WSC 2016
EditorsTheresa M. Roeder, Peter I. Frazier, Robert Szechtman, Enlu Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages12
ISBN (Electronic)9781509044863
StatePublished - Jul 2 2016
Event2016 Winter Simulation Conference, WSC 2016 - Arlington, United States
Duration: Dec 11 2016Dec 14 2016

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Other2016 Winter Simulation Conference, WSC 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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