Prediction of variable technological operation times in production jobs scheduling

Abstract This paper presents a methodology for determining the variability of technological operations times, which is suitable for predictive scheduling of production tasks. The paper begins with outlining the problems related to production scheduling in real production systems and the process of robust job scheduling. In the work, a special attention was paid to the uncertainties associated with the variability of the times of technological operations of individual jobs. Subsequently, the proprietary prediction algorithm for the variability of technological operations times was discussed, and the results of its operation were verified using historical production data. The work was completed with the analysis of the obtained results, as well as the outlining the direction of further work in the analysed problem area.