The K-means Grouping Method as a Mean to Control the Performance of the Production Process

Abstract

The paper presents a concept of using clusters of objects using the k-means method to control the performance of the production process, which runs under variable conditions. The distribution of the production process performance in production cycles grouped according to similarity is the basis for controlling the performance of subsequent production cycles. The practical part of the paper contains an example of calculations carried out according to this concept using the VBA and R languages, and is relates to the bolting process in underground mines.