The Algorithms for Robust Scheduling of Production Jobs Under Machine Failure and Variable Technological Operation Times

Robust scheduling of production jobs has been extensively studied. New methods are being sought to support effective production scheduling in the presence of disruptions caused by uncertain events. The range, extent and variety of uncertainty factors cannot be fully anticipated, which is why the solutions developed should necessarily allow for handling several disruptions simultaneously. Therefore, this study proposes a robust scheduling method that considers two factors contributing to the uncertainty of the schedule - machine failure and variable technological operation times. In particular the algorithms for robust scheduling using prediction tools: for prediction of machine failure, estimation and implementation of redundant service time buffers and for the prediction of variable technological operation times are presented.

Automated summary

This study proposes a robust scheduling method that considers the uncertainty factors of machine failure and variable technological operation times, and presents algorithms for robust scheduling using prediction tools.