`quality-management` Related Article Results

Data-based quality management is a management approach that systematically employs data collection, analysis, and interpretation processes to continuously monitor, control, and improve the quality of an organization’s products, services, and processes. This approach integrates traditional quality management principles with digital technologies such as big data, artificial intelligence, the Internet of Things (IoT), and advanced analytics. Its primary objective is to shift from a reactive error-c

Failure Mode and Effects Analysis (FMEA) is a risk analysis method aimed at identifying potential failures in systems, products, or processes, analyzing the causes and effects of these failures, and systematically defining the necessary preventive measures. It was first developed by the U.S. military in 1949 and later adopted by the aerospace, automotive, healthcare, and manufacturing industries. FMEA is designed to detect errors before they occur and has been integrated into international stand

In today’s business environment, the impact of globalization has made competitive conditions increasingly intense. In this context, organizations must deliver products and services that closely meet customer expectations in order to sustain their existence and gain a competitive advantage. This necessity extends beyond mere production quality to encompass the improvement of all processes and the minimization of costs.At this point, the Six Sigma approach emerges as a statistical quality manageme