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A Framework for Predicting Runtime Savings from Discrete-Event Simulation Model Simplification Operations by Shoaib, Mohd; Mustafee, Navonil; Ramamohan, Varun is a scholarly article available to read on EtoBox.

What is A Framework for Predicting Runtime Savings from Discrete-Event Simulation Model Simplification Operations about?

Abstraction or substitution and aggregation are the most widely used simulation model simplification operations. Abstraction involves replacing subsystems within a discrete-event simulation (DES) with one or more quantities - typically random variables - representing the lengths of stay in the subsystems(s) in question to create a `simplified' system comprising only of subsystems of interest to the analysis at hand. Aggregation involves replacing more than one subsystem of the original `parent' simulation with a single subsystem. However, the model simplification process itself can be expensive, in terms of the computational runtime and effort required to collect the data required to estimate the distributions of the length of stay variables, the distribution-fitting process, and testing and validation of the simplified model. Moreover, the savings in simulation runtime that the simplification process yields is \textit{a priori} unknown to the modeller. In this context, a method that predicts the runtime savings (RS) from DES model simplification operations before their execution - at the conceptualisation stage of the simplified model development process - may help judge whether i

Author

Shoaib, Mohd; Mustafee, Navonil; Ramamohan, Varun

Published

2025

Language

EN