DESIGN OF METHODOLOGY FOR APPLICATION OF STATISTICAL CONTROL ON SHORT RUN PROCESSES IN METALLURGY

This paper addresses the challenges of implementing statistical process control (SPC) in short run (SR) manufacturing environments common in metallurgy, characterized by a variety of mixed products and smaller batch sizes. The objective is to design a comprehensive methodology that modifies traditional control charts and capability indices to effectively assess and control the quality of metallurgical processes, particularly in bar rolling operations. The methodology is developed through a critical analysis of existing SPC techniques and capability studies, specifically tailored for SR processes. This research involves both an analytical component, which examines SR SPC methods and their applicability, and an experimental application of the proposed methodology in real-world metallurgical conditions. Results demonstrate that the integrated approach to SPC, including enhanced capability analysis, provides meaningful insights into process stability and capability in short-run production settings. The findings contribute to the existing body of knowledge, offering a novel perspective on SPC application within the metallurgical field that has not been previously reported in the literature.