ONLINE SIMULATION MODEL OPTIMIZATION

ONLINE SIMULATION MODEL OPTIMIZATION

An online simulation model optimization receives data representative of a business process captured in real time to form instance metrics, aggregates the instance metrics to form aggregated instance metrics, and uses a particle filter for filtering the aggregated instance metrics to form calibrated...

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Hauptverfasser: SOLOMON ANDREI, BENAYON JAY W, LITOIU MARIN, SZALOKY VINCENT F, LAU ALEX T. K
Format: Patent
Sprache:eng
Schlagworte:
ANALOGUE COMPUTERS
CALCULATING
COMPUTING
COUNTING
PHYSICS
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creator SOLOMON ANDREI
BENAYON JAY W
LITOIU MARIN
SZALOKY VINCENT F
LAU ALEX T. K
description An online simulation model optimization receives data representative of a business process captured in real time to form instance metrics, aggregates the instance metrics to form aggregated instance metrics, and uses a particle filter for filtering the aggregated instance metrics to form calibrated data. The process iteratively computes an output value using the calibrated data, by a simulation model. Responsive to a determination that the output value is not within a predetermined tolerance of an error threshold, the process adjusts a weight previously assigned to an aggregated instance metric by the particle filter to form recalibrated data, whereby the recalibrated data is submitted to the simulation model for computation. Responsive to a determination that the output value is within the predetermined tolerance, the process sends a result to a correction selection process of a business process optimizer, the result comprising the output value, the calibrated data, and/or the recalibrated data.
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subjects ANALOGUE COMPUTERS
CALCULATING
COMPUTING
COUNTING
PHYSICS
title ONLINE SIMULATION MODEL OPTIMIZATION
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