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Firms began reexamining the techniques of quality control invented over the past 50 years and how those techniques had been so successfully employed by the Japanese. It was in the midst of this economic turmoil that TQM took root. The exact origin of the term "total quality management" is uncertain. [2]
Seeing Total Quality Control as "an effective system for integrating the quality development, quality maintenance, and quality improvement efforts of the various groups in an organization so as to enable production and service at the most economical levels which allow full customer satisfaction". [citation needed]
Quality control (QC) is a process by which entities review the quality of all factors involved in production. ISO 9000 defines quality control as "a part of quality management focused on fulfilling quality requirements".
The seven management and planning tools have their roots in operations research work done after World War II and the Japanese total quality control (TQC) research. [ 1 ] [ 2 ] The New seven tools
QA/QC is the combination of quality assurance, the process or set of processes used to measure and assure the quality of a product, and quality control, the process of ensuring products and services meet consumer expectations.
Quality management, therefore, uses quality assurance and control of processes as well as products to achieve more consistent quality. Quality control is also part of quality management. What a customer wants and is willing to pay for it, determines quality. It is a written or unwritten commitment to a known or unknown consumer in the market ...
They are trained in researching and preventing unnecessary costs through lack of quality, lost production costs, lost market share due to poor quality, etc. They possess the knowledge needed to set up quality control circles, assess potential quality risks, and evaluate human factors and natural process variation.
The seven basic tools of quality are a fixed set of visual exercises identified as being most helpful in troubleshooting issues related to quality. [1] They are called basic because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality-related issues.