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Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 1
STATISTICAL PROCESS CONTROL
TQM TOOLS (SEVEN TOOLS OF QUALITY)
NEW MANAGEMENT TOOLS
POPULATION AND SAMPLE
CONTROL CHARTS FOR VARIABLES AND ATTRIBUTES
CONCLUSIONS
REFERENCES
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 2
TQM TOOLS (SEVEN TOOLS OF QUALITY)
1.PARETO DIAGRAM
2.FLOW DIAGRAM
3.CAUSE AND EFFECT DIAGRAM
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 3
STEPS IN CONSTRUCTING A CAUSE & EFFECT DIAGRAM :
a.Define the problem or effect to be analyzed.
b.Form the team to perform the analysis. Often the team will
uncover potential causes through brainstorming.
c.Draw the effect box and the centerline.
d.Specify the major potential cause categories and join them as
boxes connected to the centerline.
e.Identify the possible causes and classify them into the
categories in step d. Create new categories, if necessary.
f.Rank order the causes to identify those that seem most likely
to impact the problem.
g.Take corrective action.
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 4
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 5
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 6
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 7
NEW MANAGEMENT TOOLS
1.WHY, WHY
2.FORCED FIELD ANALYSIS
Define the objective.
Determine criteria for evaluating the effectiveness of the
improvement action.
Brainstorm the forces.
Prioritize the forces from greatest to least.
Take action.
3.NOMINAL GROUP TECHNIQUE
4.AFFINITY DIAGRAM
5.INTER-RELATIONSHIP DIGRAPH
6.TREE DIAGRAM
7.MATRIX DIAGRAM
8.PRIORITIZATION MATRICES
9.PROCESS DECISION PROGRAM CHART
10.ACTIVITY NETWORK DIAGRAM
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 8
POPULATION AND SAMPLE
In order to construct a frequency distribution of the outer diameter of shafts, a small
portion (or) sample is selected to represent all the shafts. The population is the whole
collection of shafts.
The population may be an hour’s production, a week’s production, 10000 pieces and
so on.
It is not possible to measure all of the population. Hence, we go for sampling.
Sampling becomes necessary
1.When it is impossible to measure the entire population.
2.When it is more expensive to observe all the data.
3.When the required inspection destroys the product.
4.When a test of the entire population may be too dangerous as in the case of new
medical drug.
X is for sample average or sample mean.
µ is for population mean.
S is for sample standard deviation.
σ is for population standard deviation.
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 9
CONTROL CHARTS FOR VARIABLES AND ATTRIBUTES
Variation is a law of nature because no two natural items in any category
are the same. Variations are due to the following reasons.
1.Chance causes or Natural causes.
2.Assignable causes.
Chance causes of variation are inevitable. Chance causes affect almost
every production process and are inherent in the process. They are purely
random, unidentifiable sources of variations.
Hence, when only chance causes are present in a process, the process is
said to be in Statistical Control.
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 10
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 11
conclusion
The discussed Statistics is defined as the science that deals with the collection,
tabulation, analysis, interpretation and presentation of quantitative data.
Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 12
REFERENCES:
1. Dale H. Besterfiled, et at., "Total quality Management", Third Edition, Pearson
Education Asia, Indian Reprint, 2006.
2. James R. Evans and William M. Lindsay, "The Management and Control of
Quality", 8th
Edition, First Indian Edition, Cengage Learning, 2012.
3. Suganthi.L and Anand Samuel, "Total Quality Management", Prentice Hall
(India) Pvt.Ltd.,2006.
4. Janakiraman. B and Gopal .R.K., "Total Quality Management - Text and Cases",
Prentice Hall (India) Pvt. Ltd., 2006.

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Statistical process control

  • 1. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 1 STATISTICAL PROCESS CONTROL TQM TOOLS (SEVEN TOOLS OF QUALITY) NEW MANAGEMENT TOOLS POPULATION AND SAMPLE CONTROL CHARTS FOR VARIABLES AND ATTRIBUTES CONCLUSIONS REFERENCES
  • 2. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 2 TQM TOOLS (SEVEN TOOLS OF QUALITY) 1.PARETO DIAGRAM 2.FLOW DIAGRAM 3.CAUSE AND EFFECT DIAGRAM
  • 3. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 3 STEPS IN CONSTRUCTING A CAUSE & EFFECT DIAGRAM : a.Define the problem or effect to be analyzed. b.Form the team to perform the analysis. Often the team will uncover potential causes through brainstorming. c.Draw the effect box and the centerline. d.Specify the major potential cause categories and join them as boxes connected to the centerline. e.Identify the possible causes and classify them into the categories in step d. Create new categories, if necessary. f.Rank order the causes to identify those that seem most likely to impact the problem. g.Take corrective action.
  • 4. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 4
  • 5. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 5
  • 6. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 6
  • 7. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 7 NEW MANAGEMENT TOOLS 1.WHY, WHY 2.FORCED FIELD ANALYSIS Define the objective. Determine criteria for evaluating the effectiveness of the improvement action. Brainstorm the forces. Prioritize the forces from greatest to least. Take action. 3.NOMINAL GROUP TECHNIQUE 4.AFFINITY DIAGRAM 5.INTER-RELATIONSHIP DIGRAPH 6.TREE DIAGRAM 7.MATRIX DIAGRAM 8.PRIORITIZATION MATRICES 9.PROCESS DECISION PROGRAM CHART 10.ACTIVITY NETWORK DIAGRAM
  • 8. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 8 POPULATION AND SAMPLE In order to construct a frequency distribution of the outer diameter of shafts, a small portion (or) sample is selected to represent all the shafts. The population is the whole collection of shafts. The population may be an hour’s production, a week’s production, 10000 pieces and so on. It is not possible to measure all of the population. Hence, we go for sampling. Sampling becomes necessary 1.When it is impossible to measure the entire population. 2.When it is more expensive to observe all the data. 3.When the required inspection destroys the product. 4.When a test of the entire population may be too dangerous as in the case of new medical drug. X is for sample average or sample mean. µ is for population mean. S is for sample standard deviation. σ is for population standard deviation.
  • 9. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 9 CONTROL CHARTS FOR VARIABLES AND ATTRIBUTES Variation is a law of nature because no two natural items in any category are the same. Variations are due to the following reasons. 1.Chance causes or Natural causes. 2.Assignable causes. Chance causes of variation are inevitable. Chance causes affect almost every production process and are inherent in the process. They are purely random, unidentifiable sources of variations. Hence, when only chance causes are present in a process, the process is said to be in Statistical Control.
  • 10. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 10
  • 11. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 11 conclusion The discussed Statistics is defined as the science that deals with the collection, tabulation, analysis, interpretation and presentation of quantitative data.
  • 12. Prepared by: PURUSHOTHAMAN.R.,M.E.,M.B.A,AP/EEE STATISTICAL PROCESS CONTROL 12 REFERENCES: 1. Dale H. Besterfiled, et at., "Total quality Management", Third Edition, Pearson Education Asia, Indian Reprint, 2006. 2. James R. Evans and William M. Lindsay, "The Management and Control of Quality", 8th Edition, First Indian Edition, Cengage Learning, 2012. 3. Suganthi.L and Anand Samuel, "Total Quality Management", Prentice Hall (India) Pvt.Ltd.,2006. 4. Janakiraman. B and Gopal .R.K., "Total Quality Management - Text and Cases", Prentice Hall (India) Pvt. Ltd., 2006.