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UNDER CONSTRUCTION. DO NOT PURCHASE! Lean Six Sigma Green Belt

Teacher
Calitop
Category:
Automotive Core Tools

Under Contruction DO NOT PURCHASE!

Description Pending…

Module 1 Training Introduction

1
1. Welcome
2
2. General Information
3
3. Warm-up
4
4. Roles and expectations
5
5. Scheme administered by Calitop
6
6. GB / BB certification process flow
7
7. Learning objectives
8
8. Learning styles
9
9. Symbols used
10
10. Trainee evaluation
11
11. Code of conduct

Module 2 Introduction to Lean 6 Sigma

1
Introduction
2
Learning objectives
3
1. Lean history
4
2. What is the Lean approach?
5
3. Lean philosophy - eliminating wastes!
6
4. Define value
7
5. The 7 Wastes!
8
6. Map the Value Stream
9
7. Create flow
10
8. Establish “pull”
11
9. Pursuit perfection
12
10. What Lean is NOT?
13
11. Six Sigma history
14
12. Six Sigma
15
13. Let's understand Six Sigma
16
14. Histogram
17
15. Histogram and the distribution
18
16. But what does the customer want?
19
17. Sigma level (Z)
20
18. Sigma is an indicator
21
19. Sigma is a measure of quality
22
20. What's new?
23
21. How do we improve the sigma level (Z)?
24
22. Six Sigma performance
25
23. What Six Sigma is NOT?
26
24. Six Sigma methodology
27
25. A comparative look
28
26. Cause-effect function
29
27. Analysis of each phase
30
28. Lean and Six Sigma
31
29. Lean Six Sigma organization
32
30. Lean Six Sigma promoters
33
31. Champion (Management team)
34
32. Sponsor (Project Leader)
35
33. Master Black Belt (methodology expert)
36
34. Black Belt (Global Team Leader)
37
35. Green Belt (Local Team Leader)
38
36. Yellow Belt (expert in process)
39
37. Lean Six Sigma projects
40
38. What is a project?
41
39. Project selection
42
40. Sources for potential projects
43
41. A good Lean Six Sigma project
44
42. Why aren't these good projects?
45
43. What do you think about these projects?
46
44. A good Lean Six Sigma project
47
45. Other recommendations
48
46. Prioritization matrix
49
47. Comparative look
50
48. Key points to remember!
51
Brief Knowledge check
16 questions

Module 3 Define Phase

1
Content
2
Learning Objectives
3
1. Define the project
4
2. Define purpose
5
3. !?!?!?!? Exercise
6
4. DEFINE in 9 steps
7
5. DEFINE in 9 steps
8
6. DEFINE in 9 steps
9
7. D.1 – Problem statement
10
8. Problems
11
9. A structured method
12
10. 5W2H
13
11. Conclusions
14
12. What not to do / What to do
15
13. D.1 – Finally…
16
14. D.2 – Project scope
17
15. Project scope
18
16. Project scope
19
17. Another tool…
20
18. What not to do / What to do
21
19. D.2 – Finally…
22
20. D.3 – Project objectives
23
21. Goal setting
24
22. A simple model
25
23. What not to do / What to do
26
24. Impact on business
27
25. Financial objectives
28
26. Quality costs
29
27. Quality costs
30
28. Estimating benefits
31
29. What not to do / What to do
32
30. Examples
33
31. D.3 – Finally…
34
32. D.4 – Team building
35
33. What is a team?
36
34. Working in teams
37
35. Forming the team
38
36. Lean Sigma promoters
39
37. Typical roles in a project team
40
38. Typical roles in a project team
41
39. Green Belt as Project Leaders
42
40. The role of a Project Leader
43
41. What not to do / What to do
44
42. RACI
45
43. RACI
46
44. Summary
47
45. Exercise: Team performance DELETE THIS
48
46. D.4 – Finally…
49
47. D.5 – Identification of customers and interested parties
50
48. Identification of customers and interested parties
51
49. Who are the customers of the process?
52
50. SIPOC
53
51. SIPOC example
54
52. Y-i Indicators
55
53. Ys Indicators
56
54. Other examples of Ys
57
55. Interested parties analysis
58
56. Interested parties analysis
59
57. Communication
60
58. Communication Plan
61
59. Examples
62
60. Meeting management
63
61. Formal meetings
64
62. D.5 – Finally…
65
63. D.6 – Project planning
66
64. Project planning
67
65. Project Charter
68
66. Project schedule
69
67. Project status monitoring
70
68. Example – Project status
71
69 Example – “Issue Log”
72
70. Monitoring project deliverables
73
71. Project budget
74
72. D.6 – Finnaly…
75
73. D.7 – Risk management
76
74. Project risk analysis
77
75. Project risk analysis
78
76. Risk analysis tools
79
77. Risk Analysis- Example
80
78. Risk Analysis- Example
81
79. D.7 – Finnaly…
82
80. D.8 – Project folder
83
81. Project folder
84
82. Storyboard – Why?
85
83. D.8 – Finnaly…
86
84. D.9 – Project launch
87
85. Project launch
88
86. Gate Review
89
87. Gate Review – DEFINE
90
88. Gate Review – DEFINE
91
89. DEFINE – Conclusions
92
90. Practical exercise – feedback ( for on-site trainings only)
93
Brief Knowledge Check
20 questions

Module 4 Basic Statistics

1
1. How can data help you?
2
2. Why we measure?
3
3. Data categories
4
4. Vocabulary – Definitions
5
5. Population
6
6. Sample
7
7. Sampling
8
8. Statistical parameters
9
9. Statistical parameters
10
10. Measuring the central tendency
11
11. Measuring the central tendency
12
12. Measuring the central tendency
13
13. The central tendency – the whole story?
14
14. Measuring variation
15
15. Measuring variation
16
16. Understanding variation
17
17. Exercise
18
18. Variation and its impact on the business
19
19. Central tendency and variation
20
20. Accuracy and precision
21
21. Exercise: Target shooting
22
22. The Lean Six Sigma Challenge
23
23. Introduction of distribution
24
24. Distribution and statistical parameters
25
25. Normal distribution
26
26. Properties of a normal distribution
27
27. Empirical Rule (68-95-99,7)
28
28. It’s a normal distribution?
29
29. Correlation between defects and σ level (Z)
30
30. Correlation between defects and σ level
31
31. Correlation between defects and σ level
32
32. The Lean Six Sigma Challenge
33
33. Other types of distributions
34
34. Distributions for attributive data
35
35. Distributions for attributive data
36
36. Other types of distributions
37
37. Statistical approach
38
38. Key points to remember!
39
39. Appendix 1 : Reminder of formulas
40
40. Appendix 1: Reminder of formulas
41
41. Appendix 2: Basic Statistics in Excel
42
42. Practical exercise ( for on-site trainings only)
43
Brief Knowledge Check
20 questions

Module 5 Measure Phase

1
1. Measure the problem
2
2. The purpose of the Measure phase
3
3. Measurement: LSS concept
4
4. Specific measurements in the Lean world
5
5. Cycle Time
6
6. Lead Time
7
7. Takt Time
8
8. Changeover Time
9
9. Availability
10
10. Overall equipment effectiveness (OEE)
11
11. Specific measurements in the Six Sigma world
12
12. Defect rate
13
13. Rolled Throughput Yield
14
14. DPU and DPMO
15
15. DPU and DPMO calculation
16
16. Exercise
17
17. Process capability
18
18. Process capability index (Cp)
19
19. Different capabilities Cp
20
20. The garage analogy
21
21. Process capability index (Cpk)
22
22. Different capabilities Cpk
23
23. Capability measured by the Z number
24
24. Relationship between Z, Defect Rate and Cpk
25
25. 1,5 ϭ deviation
26
26. Exercise
27
27. Capability for attribute data
28
28. Binomial / Poisson Capability
29
29. MEASURE in 7 steps
30
30. MEASURE in 7 steps
31
31. MEASURE in 7 steps
32
32. MEASURE in 7 steps
33
33. M.1 – Voice of the customer + Voice of the business
34
34. But what is a customer?
35
35. What do customers want?
36
36. CTC (Critical to Customer)
37
37. Voice of the Customer - Details
38
38. VOC collection methods
39
39. Exercise
40
40. CTB (Critical to Business)
41
41. CTQ (Critical to Quality)
42
42. Indicators “Y”
43
43. Which “Y” indicators?
44
44. Defining Y-s indicators
45
45. Examples of Y-s
46
46. Specific terms
47
47. Exercises
48
48. M.1 - Finally…
49
49. M.2 - Viewing the process current state
50
50. What is a process?
51
51. Why map the process in my project?
52
52. Viewing the process at different levels
53
53. Viewing the process
54
54. Symbols of process mapping
55
55. Activity chart
56
56. Version - Swimlane Flowchart
57
57. Detailed process map
58
58. Spaghetti Diagram
59
59. How do we make a Spaghetti diagram?
60
60. Spaghetti example
61
61. Another mapping tool
62
62. Example
63
63. Value Stream Map – VSM
64
64. VSM flows
65
65. Tips for value stream mapping
66
66. VSM – Example
67
67. M.2 – Finally…
68
68. M.3 – Detecting influencing factors
69
69. X-s influencing factors
70
70. A rigorous approach
71
71. Step 1: Brainstorming
72
72. Brainstorming – How?
73
73. Brainstorming – Rules
74
74. Step 2: Affinity Diagram
75
75. Affinity Diagram
76
76. Another option: Ishikawa diagram
77
77. Ishikawa Diagram
78
78. Ishikawa Diagram – How?
79
79. Why NOT like this?
80
80. Step 3: Prioritization
81
81. Prioritization matrix
82
82. “X-Y” Diagram
83
83. X-Y Diagram – Example
84
84. M.3 – Finally…
85
85. M.4 – Measurement system validation
86
86. Terms and definitions
87
87. Variation in measurement
88
88. Validation – Why?
89
89. Sources of variation
90
90. Measurement quality: Accuracy vs. precision
91
91. Accuracy vs. precision in measurement
92
92. Components of measurement errors
93
93. Resolution
94
94. Bias (accuracy)
95
95. Stability (deviation)
96
96. Linearity
97
97. Repeatability
98
98. Reproducibility
99
99. Verification methods
100
100. Exercise: Identify the problem
101
101. MSA (Measurement System Analysis)
102
102. Gage R
103
103. R
104
104. R
105
105. R
106
106. Basic rules
107
107. Attribute Agreement Analysis
108
108. Results
109
109. Results
110
110. Designing a measurement system
111
111. Exercise
112
112. M.4 – Finally…
113
113. M.5 – Measurement planning
114
114. Measurement planning – Why?
115
115. Measurement characterization
116
116. Operational Definitions – Why?
117
117. Sequence
118
118. Data collection plan
119
119. Measurement planning
120
120. Measurement planning
121
121. Data stratification
122
122. Sampling
123
123. Sampling – definitions
124
124. Types of sampling
125
125. Bias in sampling
126
126. Subgroups
127
127. Sample size
128
128. Families of variation (FOV)
129
129. Short / Long term Data
130
130. Sampling – rules
131
131. Exercise: Confidence Interval
132
132. Data collection plan: Example
133
133. Data collection support
134
134. Data collection sheet – Example
135
135. Data collection sheet
136
136. Data collection sheet
137
137. Experiment planning
138
138. Experiments – Example
139
139. Experiments – Example
140
140. M.5 – Finally…
141
141. M.6 – Data collection and visualization
142
142. Data collection
143
143. Data collection – Example
144
144. Example
145
145. Data viewing
146
146. Types of graphs
147
147. Run Chart
148
148. Run Charts – Example
149
149. Exercise: Why NOT like this?
150
150. Control Chart
151
151. Control chart: Concept
152
152. Control limits
153
153. Aggregate data graphs
154
154. Pareto Diagram
155
155. Pareto principle
156
156. Pareto Example
157
157. Exercise: Why NOT like this?
158
158. Histogram
159
159. Histogram and normal distribution
160
160. M.6 – Finally…
161
161. M.7 – Process performance evaluation
162
162. Process performance evaluation
163
163. Process performance evaluation
164
164. Why NOT like this?
165
165. Example
166
166. M.7 – Finally…
167
167. Gate Review
168
168. Gate Review – MEASURE
169
169. Gate Review – MEASURE
170
170. MEASURE – Conclusions
171
Brief Knowledge Check
30 questions

Module 6.0 Analyse Phase

1
Content
2
Learning objctives
3
1. Analyze the root causes
4
2. Analyse purpose
5
3. Analysis - Concept
6
4. Analysis in 6 steps
7
5. Analysis in 6 steps
8
6. A.0 – Temporary solutions / quick gains
9
7. Temporary solutions
10
8. Examples
11
9. A.1 - Analysis of the collected data
12
10. Root causes
13
11. Process analysis
14
12. Types of processes
15
13. Process Map Analysis
16
14. Waste analysis in the process
17
15. W1 - Transport
18
16. W2 - Inventory
19
17. Inventory
20
18. Inventory
21
19. W3 - Movement
22
20. W4 - Waiting time
23
21. W5 – Overprocessing
24
22. W6 – Overproduction
25
23. W7 - Defects (scrap and rework)
26
24. Exercise: What wastes have you identified?
27
25. Exercise: What wastes have you identified?
28
26. “Red - Green” Analysis
29
27. VA and NVA identification
30
28. VA, NVA and the definition of waste
31
29. VA, NVA and looking for wastes
32
30. VA optimization proces
33
31. Cycle Time analysis
34
32. Takt Time analysis
35
33. Takt Time analysis - Line unbalancing
36
34. A.1 - Finally…
37
35. Exercise
38
36. Exercise
39
37. A.2 - Identify potential root causes
40
38. Problem source analysis
41
39. Basic quality tools
42
40. Brainstorming – key aspects
43
41. Ishikawa Diagram
44
42. Basic tool - 5 Why?
45
43. 5 Why – Example no. 1
46
44. 5 Why – Example no. 2
47
45. 5 Why - How?
48
46. Ishikawa + 5 Why- Example
49
47. Exercise: Why NOT like this?
50
48. Why is C/T too high?
51
49. A.2 – Finally…
52
50. A.3 - Prioritization of root causes
53
51. Prioritization
54
52. Prioritization diagram - Examples
55
53. Exercise
56
54. A.3 - Finally…
57
55. A.4 – Graphical analysis
58
56. Types of charts for analysis
59
57. Graphic analysis - Pareto
60
58. Graphics for aggregate data - Box plots
61
59. Box plots
62
60. Box plots – How is it interpreted?
63
61. Box plots - How is it built?
64
62. Validated causes - Example
65
63. Multi-Vari analysis
66
64. Multi-Vari analysis
67
65. Histogram analysis – checking for normality
68
66. Histogram analysis - Example
69
67. Estimation of normality
70
68. Graphical Analysis - Time Series
71
69. Graphic analysis – Control charts
72
70. Process stability
73
71. Understanding the causes of variation
74
72. Graphical analysis - Examples
75
73. Graphic analysis - Examples
76
74. Graphical analysis - Examples
77
75. Graphical analysis - Examples
78
76. Graphical analysis - Examples
79
77. Scatter plot
80
78. Correlation and Regression
81
79. Correlation
82
80. The degree and direction of the correlation
83
81. Linear regression analysis
84
82. Causality
85
83. Some other correlation tips…
86
84. A.4 - Finally…
87
85. A.5 – Statistical analysis
88
86. Validation of root causes
89
87. Statistical tests (for advanced)
90
88. A.6 - Cause-effect relationship
91
89. Cause-effect relationship
92
90. Cause-effect relationship
93
91. Gate Review
94
92. Gate Review - ANALYSE
95
93. Gate Review - ANALYSE
96
94. ANALYSE – Conclusions

Module 6.1 Statistical Analysis

1
1. Root cause validation
2
2. Statistical analysis
3
3. Statistical analysis
4
4. Hypothesis testing
5
5. Hypothesis testing
6
6. The 2 hypotheses
7
7. The null hypothesis
8
8. Exercise
9
9. Risks and errors
10
10. Significance level (α)
11
11. Probability Value (P-value)
12
12. Probability Value (P-value)
13
13. Hypothesis testing - How is it used?
14
14. Statistical preliminary tests
15
15. Normal Probability Plot
16
16. Shapiro Wilk test
17
17. Statistical tests
18
18. Statistical tests in Excel
19
19. Statistical tests available in Excel
20
20. 2-Sample F-test
21
21. 2-Sample F-test
22
22. 2-Sample T-test
23
23. 2-Sample T-test
24
24. 1-Sample T-test
25
25. 1-Sample T-test
26
26. ANOVA
27
27. ANOVA Single Factor
28
28. ANOVA Single Factor
29
29. ANOVA Two-Factor
30
30. ANOVA Two-Factor
31
31. Nonparametric statistical tests
32
32. Nonparametric statistical tests
33
33. Regression analysis
34
34. Fitted Line Plot
35
35. Linear regression
36
36. Multiple linear regression
37
37. Proportion testing
38
38. Contingency Tables
39
39. Statistics vs. practice

Module 6.2 Design of Experiments

1
1. Root cause validation
2
2. Types of studies
3
3. Types of studies
4
4. Example
5
5. What is DoE ?
6
6. Purpose of the experimenter
7
7. When is it used in a project?
8
8. Conventional experimentation
9
9. Conventional experimentation
10
10. DoE - What's new?
11
11. Terminology
12
12. Hypothesis testing
13
13. DoE - Why?
14
14. DoE - Classification
15
15. Key concepts
16
16. Flowchart DoE
17
17. Explaining the DoE flowchart
18
18. Explaining the DoE flowchart
19
19. Explaining the DoE flowchart
20
20. Experimental plan
21
21. Analysis of experiment results
22
22. Types of effects
23
23. Types of effects
24
24. Types of Experimentation Plans
25
25. Full factorial – Exemple
26
26. Full factorial – Case study​
27
27. Types of Experimentation Plans​
28
28. How to fraction?
29
29. Fractional factorial​
30
30. Mixing effects
31
31. Analysis of statistical results
32
Brief Knowledge Check
25 questions

Module 7 – Improve phase

1
1. Improve the process
2
2. Learning objectives
3
3. IMPROVE phase
4
4. IMPROVE in 6 steps
5
5. IMPROVE in 6 steps
6
6. I.1 – Generating solutions
7
7. Sources of ideas for solutions
8
8. Generating solutions
9
9. Creative thinking
10
10. Creative thinking
11
11. Transport – How do we get rid of it?
12
12. Movement – How do we get rid of it?
13
13. Waiting time – How do we get rid of it?
14
14. Tools for generating ideas
15
15. Tools for generating ideas
16
16. Techniques for stimulating ideas
17
17. Techniques for stimulating ideas
18
18. Techniques for stimulating ideas
19
19. Techniques for stimulating ideas
20
20. Techniques for stimulating ideas
21
21. Techniques for stimulating ideas
22
22. Exercise: Why NOT like this?
23
23. Generating solutions - Example
24
24. Exercise
25
25. Exercise
26
26. I.1 – Finally…
27
27. I.2 – Prioritization of solutions
28
28. Prioritization of solutions
29
29. Evaluation of solutions
30
30. Prioritisation matrix
31
31. Prioritisation matrix
32
32. How do we give scores?
33
33.The result of prioritization
34
34. Cost benefit analysis
35
35. Approval of solutions
36
36. Approval of solutions
37
37. I.2 - Finally…
38
38. I. 3 Design of solutions
39
39. Design of solutions
40
40. Process future state map
41
41. Mapping – proposed state
42
42. Flowchart – future state
43
43. “Red – Green” analysis – Comparison
44
44. Risk analysis of solutions
45
45. Identifying risks
46
46. Identifying risks
47
47. Risk analysis tools
48
48. Why FMEA / AMDEC ?
49
49. What is an FMEA?
50
50. FMEA – Example
51
51. Types of FMEA
52
52. Preparation for the process FMEA
53
53.Building the process FMEA
54
54.Process FMEA format
55
55.An example of how to fill out the PFMEA form
56
56.Severity evaluation criteria
57
57.Occurrence evaluation criteria
58
58.Detection evaluation criteria
59
59.FMEA results analysis
60
60.Actions to reduce risks
61
61.Designing robust solutions
62
62.Optimization in the PFMEA form
63
63.FMEA optimization
64
64.Practical exercise: FMEA
65
65.I.3 - Finally…
66
66.I.4 - Validation of solutions
67
67.Validating solutions
68
68.Testing solutions
69
69.Simulation - Example
70
70.Testing solutions - Example
71
71.I.4 - Finally…
72
72.I.5 - Action planning
73
73.Action planning
74
74.Action planning
75
75.Action planning - Example
76
76.Resistance to change
77
77.Resistance to change
78
78.Recommended strategies
79
79.Implementing solutions
80
80.Exercises: implemented solutions
81
81.Exercises: implemented solutions
82
82.Exercises: implemented solutions
83
83.Exercises: implemented solutions
84
84.Exercises: implemented solutions
85
85.I.5 - Finally…
86
86.I.6 - Measuring the impact of improvement
87
87.Measuring the impact of improvement
88
88.Measuring the impact of improvement
89
89.Before - After
90
90.Stratification of effects
91
91.Y-i evolution - Examples
92
92.Y-i evolution - Examples
93
93.Y-i evolution - Examples
94
94.I.6 - Finally…
95
95.Gate Review
96
96.Gate Review - IMPROVE
97
97.Gate Review - IMPROVE
98
98.IMPROVE - Conclusions
99
99.Practical exercise

Module 7.1 - Lean Tools for Improvement

1
1. Learning objectives
2
2. Description of production processes
3
3. Lean tools for improvement
4
4. 5S – Why?
5
5. 5S – Why?
6
6. What are the 5S?
7
7. What is 5S ?
8
8. 1. Sort
9
9. 2. Set in order
10
10. 3. Shine
11
11. 4. Standardise
12
12. 5. Sustain
13
13. 5S Audit
14
14. 5S Workshop at DIGITS Company
15
15. Poka Yoke – Concept
16
16. Poka – Yoke
17
17. Defects and errors
18
18. Simple methods to avoid errors
19
19. Poka Yoke – Random examples
20
20. RED / GREEN Analysis
21
21. One Piece Flow
22
22. One Piece Flow
23
23. One Piece Flow
24
24. Exercise – One Piece Flow
25
25. Just In Time: “Pull” vs. “Push”
26
26. Pushing the flow
27
27. Just In Time: “Pull” vs. “Push”
28
28. Pulling the flow
29
29. Just In Time - Kanban
30
30. Just In Time – Kanban
31
31. Kanban - Replenishment system
32
32. Kanban: Single Card replenishment
33
33. Kanban: Replenishment in advance
34
34. Kanban - Rules
35
35. Kanban and Control Panel
36
36. Takt Time
37
37. Balancing the process
38
38. Balancing the process
39
39. Balancing the process
40
40. Balancing the process
41
41. Balancing the process
42
42. TPM – Total Productive Maintenance
43
43. TPM: The concept
44
44. TPM: Roles and responsibilities
45
45. TPM in 7 steps
46
46. SMED - Single Minute Exchange of Die
47
47. SMED: A good example
48
48. SMED in 5 steps
49
49. SMED methodology
50
50. Reduction of SMED changeover time
51
51. Overall Equipment Effectiveness (OEE)
52
52. OEE: What makes it weak?
53
53. OEE: Where is the time wasted?
54
54. VSM, Future State = Lean Improvement
55
55. VSM future state
56
56. Future state map symbols (icons)
57
57. Future state map symbols (icons)
58
58. Let's remember the current state map
59
59. How to implement continuous flow processing?
60
60. Implement the Supermarket system
61
61. Balancing activities
62
62. Improving line balancing
63
63. Evaluation of the required number of operators
64
64. Improving equipment effectiveness: TPM, SMED
65
65. Ideal process flow
66
66. Kanban and improving material handling
67
67. Supermarket management (upstream)
68
68. Supermarket management (downstream)
69
69. And the supplier to deliver in Kanban system
70
70. Future state map
71
71. Key points to remember!
72
Brief Knowledge Check
16 questions

Module 8 – Control phase

1
1. Keep under control
2
2. Learning objectives
3
3. CONTROL phase purpose
4
4. Process owner involvement
5
5. Transfer to the Process Owner
6
6. Transfer to the Process Owner
7
7. CONTROL in 6 steps
8
8. CONTROL in 6 steps
9
9. C.1 – Standardisation
10
10. Standardisation
11
11. Standardisation - Benefits
12
12. Standardisation - How much?
13
13. Standardisation - How?
14
14. What is a standard operating procedure
15
15. SOP - Example
16
16. Standardisation - Examples
17
17. Visual Factory
18
18. Visual management
19
19. Visual aids
20
20. A tool for communication!
21
21. A tool for everyone!
22
22. What we communicate through visual management?
23
23. What we communicate through visual management?
24
24. Tools for visual process control
25
25. Security indicators - H&S
26
26. Informative dashboards
27
27. Dashboards
28
28. Staff related panels
29
29. 5S information panel
30
30. Key points for Visual Management
31
31. Visual management - Example
32
32. C.1 - Finally…
33
33. C.2 - Training
34
34. Training
35
35. Planning the training
36
36. Training - Examples
37
37. C.2 - Finally…
38
38. C.3 - Implementation of monitoring
39
39. Monitoring - Why?
40
40. Exercise: Inspection is not enough!
41
41. Process control system
42
42. Process control systems
43
43. Example - Turtle diagram
44
44. Example - Control Plan
45
45. Control Plan - Requirements
46
46. Example - Control Plan
47
47. Continuous monitoring
48
48. Causes of variation
49
49. Let's remember the Control Chart
50
50. How to calculate control limits?
51
51. Control Chart - How does it work?
52
52. Basic conditions
53
53. Which graphs to use?
54
54. Control charts for continuous data
55
55. I-mR Control Chart
56
56. X bar-R Control Chart
57
57. X bar-R Control Chart
58
58. X bar-s Control Chart
59
59. Control Chart Rules
60
60. Control Chart Rules
61
61. Quick exercise
62
62. Quick exercise
63
63. Attribute Control Charts
64
64. Exercise - What type of graph should we use?
65
65. Summary...
66
66. Control Charts - Don't forget the 4 questions
67
67. C.3 - Finally…
68
68. C.4 – Project report
69
69. Project report
70
70. Reporting
71
71. And also in the report...
72
72. Lessons learned - Example
73
73. Replication - Example
74
74. What the participants said!
75
75. C.4 - Finally…
76
76. C.5 - Confirmation of economic impact
77
77. Economic impact
78
78. Calculation of the economic impact
79
79. C.6 - Communication and celebration
80
80. Before completing the Control phase…
81
81. Project poster - Example
82
82. Motivation and celebration
83
83. Gate Review
84
84. Gate Review - CONTROL
85
85. Gate Review - CONTROL
86
86. CONTROL - Conclusions
87
87. Practical exercise
88
88. And now the finish is near…
89
89. Thank you for your attention and participation!
90
Brief Knowledge Check
15 questions
91
Final Evaluation!
25 questions

Lean 6 Sigma Final Evaluation!

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