Statistical Quality Control
INTRODUCTION
Have you experienced purchasing a product then discovered that it is defective in some way or does not function the way it was designed to, or found that a piece of the product is missing or defective. As consumers, we expect the products we purchase to function as intended. However, producers of products know that it is not always possible to inspect every product and every aspect of the production process at all times. The challenge is to design ways to maximize the ability to monitor the quality of products being produced and eliminate defects. (TQM) addresses organizational quality from managerial viewpoints focusing on customer-driven quality standards, managerial leadership, continuous improvement, quality built into product and process design, quality identified problems at the source, and quality made everyone’s responsibility. However, talking about solving quality problems is not enough. We need specific tools that can help us make the right quality decisions. These tools come from the area of statistics and are used to help identify quality problems in the production process as well as in the product itself. Statistical Quality Control (SQC) is a set of statistical techniques intended to aid in the improvement of system quality.[i]
DEFINITION
The Statistical Control of Quality is application of statistical principles and techniques in all stages of design, production, maintenance and service. The phrase “statistical quality control” (SQC) refers to the application of statistical methods to monitor and evaluate systems and to determine whether changing key input variable (KIV) settings is appropriate. Specifically, SQC is associated with Shewhart’s statistical process charting (SPC) methods. These SPC methods include several charting procedures for visually evaluating the consistency of key process outputs (KOVs) and identifying unusual circumstances that might merit attention.
In common usage, however, SQC refers to many
Have you experienced purchasing a product then discovered that it is defective in some way or does not function the way it was designed to, or found that a piece of the product is missing or defective. As consumers, we expect the products we purchase to function as intended. However, producers of products know that it is not always possible to inspect every product and every aspect of the production process at all times. The challenge is to design ways to maximize the ability to monitor the quality of products being produced and eliminate defects. (TQM) addresses organizational quality from managerial viewpoints focusing on customer-driven quality standards, managerial leadership, continuous improvement, quality built into product and process design, quality identified problems at the source, and quality made everyone’s responsibility. However, talking about solving quality problems is not enough. We need specific tools that can help us make the right quality decisions. These tools come from the area of statistics and are used to help identify quality problems in the production process as well as in the product itself. Statistical Quality Control (SQC) is a set of statistical techniques intended to aid in the improvement of system quality.[i]
DEFINITION
The Statistical Control of Quality is application of statistical principles and techniques in all stages of design, production, maintenance and service. The phrase “statistical quality control” (SQC) refers to the application of statistical methods to monitor and evaluate systems and to determine whether changing key input variable (KIV) settings is appropriate. Specifically, SQC is associated with Shewhart’s statistical process charting (SPC) methods. These SPC methods include several charting procedures for visually evaluating the consistency of key process outputs (KOVs) and identifying unusual circumstances that might merit attention.
In common usage, however, SQC refers to many
References: Reid, R. D., & Sanders, N. R. (2005). Wiley. Retrieved December 12, 2008, from Wiley Website: http://www.wiley.com/college/sc/reid/chap6.pdf [ii] Allen, T. T. (2006). Part I - Statistical Quality Control. In Springer, Introduction To Engineering Statistics And Six Sigma (p. 47). Ohio: Springer-Verlag London Limited.