《Statistical Quality Control》课程教学课件(PPT讲稿)03 Quality management & Old 7 methods

Statisticalmethodsin guality management武汉理工大学机电工程学院工业工程系李存荣(cunrongli@163.com)Statistical methods commonly used2007.4for quality management
2007.4 1 Statistical methods in quality management Statistical methods commonly used for quality management 武汉理工大学 机电工程学院 工业工程系 李存荣(cunrong_li@163.com)

"Quality management" is to direct and controlthe activities that related to the qualityo Quality is aset of inherent characteristics that meet therequirementsoQuality management experience in three phases:the quality inspection, statistical quality control,comprehensivequalitymanagement2007.4Statistical techniques2
2007.4 2 Statistical techniques “Quality management” is to direct and control the activities that related to the quality. Quality is a set of inherent characteristics that meet the requirements. Quality management experience in three phases: the quality inspection, statistical quality control, comprehensive quality management

The quality inspection phase:Support theory :Taylor's"scientific management"Advantage:separate the production and inspection ;avoid the unqualified products flow into the market ;Disadvantage:Even find the unqualified products, the loss hasoccurred andcannotberedeemed:Quality is the result of the inspection2007.4Statistical techniques3
2007.4 3 Statistical techniques The quality inspection phase: Support theory :Taylor's "scientific management“. Advantage : separate the production and inspection ; avoid the unqualified products flow into the market ; Disadvantage : Even find the unqualified products, the loss has occurred and cannot be redeemed; Quality is the result of the inspection

statistical guality control phase:Support theory: Statistical inference theoryThe founder : Hart, dodge and RomigQKZAdvantage:5M1Eprocesschange the “later check" of the pure quality inspectionto the “prevention and control"Disadvantage : Excessively emphasized the study ofmathematical statistics theory;Mainly used in the manufacturing stage2007.4Statistical techniques4
2007.4 4 Statistical techniques statistical quality control phase: Support theory: Statistical inference theory The founder :Hart, dodge and Romig Advantage : 5M1E process QKZ change the “later check” of the pure quality inspection to the “prevention and control”; Disadvantage : Excessively emphasized the study of mathematical statistics theory; Mainly used in the manufacturing stage

5MIEMachine The machine aging, new machine.MaterialReplacement of suppliers replacement of materials,The change of material mechanical or chemical properties, the changeof materials' size.MethodThe change of processThe change of operating stationmethod、Impropertoolfixture.Operatorthe degree of proficiency of operator, the habituation ofoperator,Did the operator operate in accordance with the operationstandard,the physical power and emotion of operator, operator'sworkplace and toolsMeasurement Measurement technique accuracyof measuringinstrumentsEnvironmental factorsThe stability of sourceThe stability of water quality、Temperature,humidity、The air dust、illuminance clean the floor and work places set out the items of2007.4workplace5
2007.4 5 5M1E • Machine The machine aging , new machine. • Material Replacement of suppliers 、 replacement of materials、 The change of material mechanical or chemical properties 、the change of materials’ size. • Method The change of process 、 The change of operating station method 、 Improper tool fixture . • Operator the degree of proficiency of operator, the habituation of operator , Did the operator operate in accordance with the operation standard , the physical power and emotion of operator , operator's workplace and tools • Measurement Measurement technique 、accuracy of measuring instruments • Environmental factorsThe stability of source The stability of water quality 、 Temperature, humidity 、 The air dust 、 illuminance 、 clean the floor and work places 、 set out the items of workplace

comprehensive quality management phase:Support theory : Integrated application of Systemsengineering 、Operations research Statistical inferencetheory 、Value engineering 、The production management The project management 、Cost management 、Test design Measurement technologyThought Founders: Feigenbaum,JuranThe basic idea: The user is supreme , All the service forthe user ;Precaution main, emphasize control in advance ;Establish an effective quality management system ;Continuous improvement ; Highlight the role of peopleFeatures: “Three comprehensive and one multiplicity"2007.4CStatistical techniques6
2007.4 6 Statistical techniques comprehensive quality management phase: Support theory :Integrated application of Systems engineering 、 Operations research 、 Statistical inference theory 、 Value engineering 、 The production management 、 The project management 、 Cost management 、 Test design 、 Measurement technology Thought Founders: Feigenbaum,Juran The basic idea: The user is supreme , All the service for the user ; Precaution main , emphasize control in advance ; Establish an effective quality management system ; Continuous improvement ;Highlight the role of people. Features:“Three comprehensive and one multiplicity

The traditional statistical technigues is refers to the'mathematical statistics" It is a branch ofmathematics based on probability theory 。“Researchhow to collect 、 sort out and analyze the datathat under the influence of randomness in an efficientway , to infer and predict the observed problems ,until adopt decision and provide the basis for action 。2007.4Statistical techniques7
2007.4 7 Statistical techniques The traditional statistical techniques is refers to the "mathematical statistics" , It is a branch of mathematics based on probability theory , “Research how to collect 、sort out and analyze the data that under the influence of randomness in an efficient way , to infer and predict the observed problems , until adopt decision and provide the basis for action

The quality managers of Japanese first broke thestatistics that is the forbidden zone of mathematicalstatistics.Chart ordetailed data characteristic value, butalso bring into the category of statisticaltechniquesInferential statistical techniquesDescriptive statistics techniques2007.4Statistical techniques8
2007.4 8 Statistical techniques The quality managers of Japanese first broke the statistics that is the forbidden zone of mathematical statistics. Chart ordetailed data characteristic value, but also bring into the category of statistical techniques Inferential statistical techniques Descriptive statistics techniques

2000 edition ofISO9000 family standards promote1.Theresearch object of Statistical techniques isvariation2.What is Variation: the individual character differenceof the same originem3.Variationwithregularity4.Variation with different properties5.Pay attention to the overall quality and quality inthe long run6. It's important to insist , focus on the applicationThe understanding of2007.49statistical techniques
2007.4 9 The understanding of statistical techniques 2000 edition of ISO9000 family standards promote the statistical technology as a cornerstone of the quality management system, emphasis is not statistical technology itself , but "the role of statistical techniques" , That is, consider the statistical techniques as a tool for analysis, problem solving, improving the quality management system effectiveness and promoting continuous improvement 1. The research object of Statistical techniques is variation 2. What is Variation: the individual character difference of the same origin 3. Variation with regularity 4. Variation with different properties 5. Pay attention to the overall quality and quality in the long run 6. It’s important to insist ,focus on the application

Theview of M.V. Feioenbaum :In the total quality management, "no matter when andwhere will use the method of mathematicalstatistics".The views expressed, "these statistical method have aprofound effect on the whole field of total qualitymanagement .2007.4Expert opinion10
2007.4 10 The view of A. V. Feigenbaum : Expert opinion In the total quality management, "no matter when and where will use the method of mathematical statistics". The views expressed, "these statistical method have a profound effect on the whole field of total quality management
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