Module for prediction of technological operation times in an intelligent job scheduling system

Abstract

This paper presents a model for the prediction of technological operation times in the framework of an intelligent job scheduling system. The developed prediction module implements ARMA/ARIMA time series models. In addition, the paper introduces the mathematical prediction model and its implementation to the particular test case. The scheduling made use of dispatching rules: LPT, SPT, FCFS and EDD. The validation of the model appears to confirm the effectiveness of the proposed solution and substantiate further research works in this direction.