A Task of the Storage Control Theory in Transport Systems using Resampling-method

TL;DR

This paper proposes a resampling-based statistical method to estimate shortage absence probability in transport system storage, demonstrating its efficiency through numerical examples and mean square error analysis.

Contribution

It introduces a novel resampling method for storage control in transport systems, improving estimation accuracy over traditional approaches.

Findings

The resampling method effectively estimates shortage absence probability.

Numerical examples show the approach's efficiency and accuracy.

Mean square error analysis confirms the method's reliability.

Abstract

The probability of shortage absence is estimated for the storage of some transport system. The intensive computer methods of statistics are used in corresponding processes simulation. The efficiency of suggested approach, taking the mean square error of the estimator as the criterion, is illustrated with corresponding numerical examples.