What is SQC (Statistical Quality Control)? Introduction to its purpose and representative methods.
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SQC (Statistical Quality Control) refers to the efficient management and improvement of the quality of products and services using statistical methods based on data accumulated from daily operations. The purpose of implementing SQC is to achieve efficient and effective quality management in environments of mass production and diverse product lines, where 100% inspection is not feasible. Examples of management techniques include graphs and control charts, while examples of analytical methods include hypothesis testing and estimation, as well as the Taguchi method. This article will explain the fundamental concepts of SQC and the specific methods used, with concrete examples. *For more detailed information, please refer to the link below.*
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Kaminashi is a "field DX platform" that reduces waste on-site and creates a productive work environment. It digitizes administrative tasks and routine work that were previously done on paper or Excel, from data entry of handwritten information to aggregation and reporting, enabling centralized management. It supports paperless operations, improves work efficiency, and promotes work style reform across various industries such as manufacturing, retail, food service, and logistics, contributing to the realization of field DX.