2 - Statistical quality control.Physics Teacher Azerbaijan, Baku. Telman Askeraliyev

2 - Statistical quality control.Physics Teacher Azerbaijan, Baku. Telman Askeraliyev
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1. PHYSICS TEACHER AZERBAIJAN

2. QUALITY ENGINEERING Instructor: M. Sci. Telman Askeraliyev ( Politecnico di Torino, Italy ) Azerbaijan – Baku – ADNSU - 2017 https://www.linkedin.com/in/physics-teacher-azerbaijan/ https://www.instagram.com/physics_teacher_azerbaijan/ [phone]

3. DEFINITION https://www.linkedin.com/in/physics-teacher-azerbaijan/ https://www.instagram.com/physics_teacher_azerbaijan/ [phone] #gcse #tutor #digitalsat #physicsteacher #azerbaijan #physics #muellim #teacher #xaricdetehsil #baghdad #iraq #kuwait #georgia #digitalsat #satmath #maths #mathteacher #ada #ibdp #igcse #satmath #english #adaschool #gcse #internationalschool #physicsteacher #azerbaijan #physics #kazakhstan #azerbaijan #physics #physicsteacher #tutor #school #science #moscow #almaty #kazakhstan #tutor #fizika #muellim #teacher #xaricdetehsil #baghdad #iraq #kuwait #georgia #digitalsat #satmath #maths #mathteacher #ada #ibdp #igcse #satmath #english #adaschool #gcse #internationalschool #physicsteacher #azerbaijan #physics #physicsteacher #azerbaijan #physics #exams #revision #bakuoxfordschool #bakumodernschool #zirveliseyi #idrakliseyi#kaspiliseyi#zengiliseyi #muasirtehsilkompleksi #avropaazerbaycanmektebi #sabisinternationalschool #physicstutor #physics #physicsteacher #fyi #almaty #astana

4. QUALITY Quality means fitness for use - quality of design - quality of conformance

5. QUALITY IMPROVEMENT AND STATISTICS Quality Improvement Quality improvement is the reduction of variability in processes and products. Alternatively, quality improvement is also seen as “waste reduction”.

6. STATISTICAL PROCESS CONTROL Statistical process control is a collection of tools that when used together can result in process stability and variance reduction

7. STATISTICAL PROCESS CONTROL The seven major tools are 1) Histogram 2) Pareto Chart 4) Cause and Effect Diagram 5) Defect Concentration Diagram 6) Control Chart 7) Scatter Diagram 8) Check Sheet

8. BASIC PRINCIPLES A process that is operating with only chance causes of variation present is said to be in statistical control. A process that is operating in the presence of assignable causes is said to be out of control. The eventual goal of SPC is the elimination of variability in the process.

9. VARIABILITY Random common causes inherent in a process can be eliminated only through improvements in the system Non-Random special causes due to identifiable factors can be modified through operator or management action

10. SPC in TQM SPC tool for identifying problems and make improvements contributes to the TQM goal of continuous improvements

11. QUALITY MEASURES Attribute a product characteristic that can be evaluated with a discrete response good – bad; yes - no Variable a product characteristic that is continuous and can be measured weight - length

12. APPLYING SPC TO SERVICE Nature of defect is different in services Service defect is a failure to meet customer requirements Monitor times, customer satisfaction

13. APPLYING SPC TO SERVICE Nature of defect is different in services Service defect is a failure to meet customer requirements Monitor times, customer satisfaction

14. LABS 1) Gas Quality Control   https://www.youtube.com/watch?v=uGgd3iiQrUI

15. APPLYING SPC TO SERVICE Fast-Food Restaurants waiting time for service, customer complaints, cleanliness, food quality, order accuracy, employee courtesy Catalogue-Order Companies order accuracy, operator knowledge and courtesy, packaging, delivery time, phone order waiting time Insurance Companies billing accuracy, timeliness of claims processing, agent availability and response time

16. Where to Use Control Charts Process has a tendency to go out of control Process is particularly harmful and costly if it goes out of control Examples at the beginning of a process because it is a waste of time and money to begin production process with bad supplies before a costly or irreversible point, after which product is difficult to rework or correct before and after assembly or painting operations that might cover defects before the outgoing final product or service is delivered

17. Control Charts A graph that establishes control limits of a process Control limits upper and lower bands of a control chart Types of charts Attributes p-chart c-chart Variables range (R-chart) mean (x bar – chart)

18. Process Control Chart 1 2 3 4 5 6 7 8 9 10 Sample number Upper control limit Process average Lower control limit Out of control

19. A Process Is in Control If … … no sample points outside limits … most points near process average … about equal number of points above and below centerline … points appear randomly distributed

20. CONTROL CHARTS FOR ATTRIBUTES p-charts uses portion defective in a sample c-charts uses number of defects in an item

21. p-Chart

22. Sample Size Attribute charts require larger sample sizes 50 to 100 parts in a sample Variable charts require smaller samples 2 to 10 parts in a sample

23. SPC with Excel UCL=0.19 LCL=0.01

24. Process Capability Tolerances design specifications reflecting product requirements Process capability range of natural variability in a process what we measure with control charts

25. THANK YOU! THANK YOU!