Enhancing Business Performance Using Statistical Quality Control Techniques

Abstract

Quality control (QC) is central to ensuring that business processes produce goods and services that meet customer requirements and regulatory standards. Statistical methods underpin modern QC by enabling measurement, monitoring, and improvement of processes. This paper reviews the theoretical foundations of statistical quality control (SQC), describes key statistical tools such as control charts, process capability indices, and links them to business applications. It explores how statistics help identify variation (common‑cause or special‑cause), support decision‐making, and drive continuous improvement (e.g., Six Sigma). Practical implications, challenges (data quality, assumptions, culture), and future directions (big data, multivariate control) are discussed. The aim is to provide business managers and researchers with a comprehensive overview of how statistics can contribute to effective quality control in business operations.