During World War II , in order to improve the quality andreliability of the military , the U.S. government invited agroup of statistical experts and technical staff , has developeda three wartime quality control standards :AWsZ1.1-1941: Quality management guidelines ;AWsZ1.2 -194l: Data analysis control chart ;AWSz1.3 -1942: Process control chart,These advances in theory andpractice occurred forties qualitymanagement begantoenterthestage of statistical qualitycontrolmark.Developmentofstatisticalqualitycontrol2025/8/7
2025/8/7 AWSZ1.1 –1941: Quality management guidelines ; AWSZ1.2 –1941: Data analysis control chart ; AWSZ1.3 –1942: Process control chart . Development of statistical quality control During World War II , in order to improve the quality and reliability of the military , the U.S. government invited a group of statistical experts and technical staff , has developed a three wartime quality control standards : These advances in theory and practice occurred forties quality management began to enter the stage of statistical quality control mark
In the 50 s, quality management expert W.D eming introducestatistical quality control method to Japanese manufacturers, whichhelppeoplerebuildtheirproductionbaseand enhancethecompetitiveness of theirproductsinthe world market.J.M.Juranproposed cost of quality concepts. He stressed the need toaccurately and comprehensively identify quality cost and qualitycosting . At the same time , he stressed the need to reduce the cost ofprevention and promoting the use of quality control methodstoachieve this goal.Developmentofstatisticalqualitycontrol2025/8/7
2025/8/7 In the 50 s, quality management expert W.D eming introduce statistical quality control method to Japanese manufacturers, which help people rebuild their production base and enhance the competitiveness of their products in the world market. J.M.Juran proposed cost of quality concepts. He stressed the need to accurately and comprehensively identify quality cost and quality costing . At the same time , he stressed the need to reduce the cost of prevention and promoting the use of quality control methods to achieve this goal. Development of statistical quality control
Peoplehavegraduallyrealizedthat theformation of the qualityof the product is notonlyrelatedtothemanufacturingprocess,andinvolvesmanyprocess,links,andotherfactorsOnly when all thefactors affecting thequalityof allthetracks included inthequalitymanagementandretentionsystemcoordinatedoperation in order to ensure productqualityUnder the new social and historical context and to promote economicdevelopment of the situation, total quality management theory emergedThemainproblemsofstatisticalqualitymanagement2025/8/7
2025/8/7 People have gradually realized that the formation of the quality of the product is not only related to the manufacturing process, and involves many process, links, and other factors. Only when all the factors affecting the quality of all the tracks included in the quality management and retention system coordinated operation in order to ensure product quality . The main problems of statistical quality management Under the new social and historical context and to promote economic development of the situation , total quality management theory emerged
Themainproblemsofstatisticalqualitymanagement It remains to meet product standards for the purpose rather thanto meet the needs of users for the purpose ;②lt isonlybiased intheprocess control,but not the entireprocessofformation ofproductqualitycontrol ;?statistical techniquesmoredifficult,mainlybyexpertsandtechnical staff,itisdifficulttomobilizetheenthusiasmof thebroadmasses of the workers involvedin quality management ;@qualitymanagement and organizational management are notclose together, the quality of management is limited to mathematicalmethods, often leading peopleto ignore.2025/8/7Themainproblemsofstatisticalqualitymanagement
2025/8/7 The main problems of statistical quality management: ① It remains to meet product standards for the purpose rather than to meet the needs of users for the purpose ; ② It is only biased in the process control , but not the entire process of formation of product quality control ; ③ statistical techniques more difficult, mainly by experts and technical staff , it is difficult to mobilize the enthusiasm of the broad masses of the workers involved in quality management ; ④ quality management and organizational management are not close together, the quality of management is limited to mathematical methods , often leading people to ignore. The main problems of statistical quality management
Totalqualitymanagementstage:The third stage is the stage of total quality management . This stagesince the 1960s continues today.The main statistical qualitymanagement to promote the transition to a comprehensive qualitymanagement reasons inthefollowing areas :need scienceandtechnologyandindustrialdevelopment② protect the interests of the rise of consumer movement ;? modern quality management and scientific development ;@ 60 years in management theory, behavioral school emerged .2025/8/7Totalgualitymanagementstage
2025/8/7 Total quality management stage: The third stage is the stage of total quality management . This stage since the 1960s continues today. The main statistical quality management to promote the transition to a comprehensive quality management reasons in the following areas : ① need science and technology and industrial development. ② protect the interests of the rise of consumer movement ; ③ modern quality management and scientific development ; ④ 60 years in management theory, behavioral school emerged . Total quality management stage