storyboard_ssgb_v 10.1

Project Leader:

*

Standard FONT to be used across the presentation.Standard size of Graphs/Outputs from Minitab

- * -Standard Instructions

- * -Define Phase Deliverables

DeliverableTarget Completion DateActual Completion DateProject Charter VOC - VOBFinancial Validation SheetKANO / Project Priority Calculations / Balanced Scorecard /CSAT Analysis (Justify need of Project)Macro MapSIPOCStakeholder AnalysisMetrics Tracker (Graphical Representation)

- * -MEASUREANALYZEIMPROVECONTROLDEFINEProject LeaderProject MentorTeam MembersProject ChampionProject SponsorProcess OwnerProject Charter

* xxxxxxxxxxxxxxxxxx xxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxx xxxxxxxxxx xxxxxxxx-Customer , Designation

xxxxxxxxxxxxxxxxxx xxxxxxxxxxxxx xxxxxxxxxx xxxxxxxxxxxxxx xxxx xxxxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxxx-Process Owner, Designation- * -Benefits from the projects ( choose from whatever is applicable) : - Customer SLA , CSAT Score , Growth ,Profitability, Retention ,Any other ( pls specify)

Financial Benefit Calculation ( Show calculations ) : xxxxxxxxxxxxxxxxxx xxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxx xxxxxxxxxx xxxxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxxx( To be discussed with Finance rep)

VOCVOBVOC VOB & Benefits

Need of Project- * -

- * -Macro Map

SupplierSIInputOutputCustomerProcess CPO- * -SIPOC

Activity

X=Where this Stakeholder IS TODAY on the ProjectO=Where this Stakeholder NEEDS TO BE on the Project* When Populating the Stakeholder, consider the ARMI:A= Approver of team decisionsR= Resource or subject matter expert (ad hoc)M= Member of teamI= Interested Party who will need to be kept informedStakeholder Analysis

Stakeholder ARMI*Strongly OpposedOpposedNeutralSupportiveStrongly SupportiveStakeholder Name / RoleXOStakeholder Name / RoleStakeholder Name / RoleStakeholder Name / RoleStakeholder Name / RoleStakeholder Name / Role

*- * -Graphical Representation is requiredMetrics Tracker

Primary MetricBaselineGoalMonMonMonMonMonMonMonMonMonMonMonMon

Consequential Metric

- * -Measure Phase Deliverables

DeliverableTarget Completion DateActual Completion DateAs Is Process MapValue Analysis & List of Quick WinsImproved Process MapMeasurement System AnalysisData Collection Plan for YNormality, Stability TestingCapability AnalysisIdentification of Input, process and output indicatorsCause and Effect DiagramConversion of Causes to XsCause - Effect MatrixData collection Plan

*- * -

AS IS Process Map

- * -Value Analysis

ActivityClassification of ActivityQuick Win OpportunityProposed SolutionsTools UsedResponsibilityCVAOVANVAStep # 1 N/AStep # 2 Solution # 1 Brainstorming

- * -

Improved Process Map

A sample worksheet where 3 operators look at a piece and decide whether it is a Defect or Not based on a classification criteria in 2 trials each- * -Measurement System Analysis

Calculations

Attribute Gage R & R

Attribute Legend

1Date:

2Name:0

3Process name:

4Project:

AccuracyRepeatability NeumratorRepeatability DenominatorReproducibility NeumratorReproducibility DenominatorMeasurement Efficiceny NumMeasurement Efficiency Dem

Known PopulationOperator #01Operator #02Operator #03Known PopulationOperator #01Operator #02Operator #03Known PopulationOperator #01Operator #02Operator #03Known PopulationOperator #01Operator #02Operator #03Known PopulationOperator #01Known PopulationOperator #01Known PopulationOperator #01Known PopulationOperator #01

Sample #MasterTrial #01Trial #02Trial #01Trial #02Trial #01Trial #02Sample #MasterTrial #01Trial #02Trial #01Trial #02Trial #01Trial #02Sample #MasterTrial #01Trial #01Trial #01Sample #MasterTrial #01Trial #01Trial #01Sample #MasterTrial #01Sample #MasterTrial #01Sample #MasterTrial #01Sample #MasterTrial #01

1------1------1---1---1-1-1-1-

2------2------2---2---2-2-2-2-

3------3------3---3---3-3-3-3-

4------4------4---4---4-4-4-4-

5------5------5---5---5-5-5-5-

6------6------6---6---6-6-6-6-

7------7------7---7---7-7-7-7-

8------8------8---8---8-8-8-8-

9------9------9---9---9-9-9-9-

10------10------10---10---10-10-10-10-

11------11------11---11---11-11-11-11-

12------12------12---12---12-12-12-12-

13------13------13---13---13-13-13-13-

14------14------14---14---14-14-14-14-

15------15------15---15---15-15-15-15-

16------16------16---16---16-16-16-16-

17------17------17---17---17-17-17-17-

18------18------18---18---18-18-18-18-

19------19------19---19---19-19-19-19-

20------20------20---20---20-20-20-20-

21------21------21---21---21-21-21-21-

22------22------22---22---22-22-22-22-

23------23------23---23---23-23-23-23-

24------24------24---24---24-24-24-24-

25------25------25---25---25-25-25-25-

26------26------26---26---26-26-26-26-

27------27------27---27---27-27-27-27-

28------28------28---28---28-28-28-28-

29------29------29---29---29-29-29-29-

30------30------30---30---30-30-30-30-

31------31------31---31---31-31-31-31-

32------32------32---32---32-32-32-32-

33------33------33---33---33-33-33-33-

34------34------34---34---34-34-34-34-

35------35------35---35---35-35-35-35-

36------36------36---36---36-36-36-36-

37------37------37---37---37-37-37-37-

38------38------38---38---38-38-38-38-

39------39------39---39---39-39-39-39-

40------40------40---40---40-40-40-40-

41------41------41---41---41-41-41-41-

42------42------42---42---42-42-42-42-

43------43------43---43---43-43-43-43-

44------44------44---44---44-44-44-44-

45------45------45---45---45-45-45-45-

46------46------46---46---46-46-46-46-

47------47------47---47---47-47-47-47-

48------48------48---48---48-48-48-48-

49------49------49---49---49-49-49-49-

50------50------50---50---50-50-50-50-

51------51------51---51---51-51-51-51-

52------52------52---52---52-52-52-52-

53------53------53---53---53-53-53-53-

54------54------54---54---54-54-54-54-

55------55------55---55---55-55-55-55-

56------56------56---56---56-56-56-56-

57------57------57---57---57-57-57-57-

58------58------58---58---58-58-58-58-

59------59------59---59---59-59-59-59-

60------60------60---60---60-60-60-60-

61------61------61---61---61-61-61-61-

62------62------62---62---62-62-62-62-

63------63------63---63---63-63-63-63-

64------64------64---64---64-64-64-64-

65------65------65---65---65-65-65-65-

66------66------66---66---66-66-66-66-

67------67------67---67---67-67-67-67-

68------68------68---68---68-68-68-68-

69------69------69---69---69-69-69-69-

70------70------70---70---70-70-70-70-

71------71------71---71---71-71-71-71-

72------72------72---72---72-72-72-72-

73------73------73---73---73-73-73-73-

74------74------74---74---74-74-74-74-

75------75------75---75---75-75-75-75-

76------76------76---76---76-76-76-76-

77------77------77---77---77-77-77-77-

78------78------78---78---78-78-78-78-

79------79------79---79---79-79-79-79-

80------80------80---80---80-80-80-80-

81------81------81---81---81-81-81-81-

82------82------82---82---82-82-82-82-

83------83------83---83---83-83-83-83-

84------84------84---84---84-84-84-84-

85------85------85---85---85-85-85-85-

86------86------86---86---86-86-86-86-

87------87------87---87---87-87-87-87-

88------88------88---88---88-88-88-88-

89------89------89---89---89-89-89-89-

90------90------90---90---90-90-90-90-

91------91------91---91---91-91-91-91-

92------92------92---92---92-92-92-92-

93------93------93---93---93-93-93-93-

94------94------94---94---94-94-94-94-

95------95------95---95---95-95-95-95-

96------96------96---96---96-96-96-96-

97------97------97---97---97-97-97-97-

98------98------98---98---98-98-98-98-

99------99------99---99---99-99-99-99-

100------100------100---100---100-100-100-100-

Datasheet

Attribute Gage R & R

Attribute Legend

1Date:

2Name:

3Process name:

4Project:

Known PopulationOperator #01Operator #02Operator #03

Sample #MasterTrial #01Trial #02Trial #01Trial #02Trial #01Trial #02Guage R&R Results

1

2Overall Accuracy

3

4Repeatability

5

6Reproducibility

7

8Measurement Efficiency0%

9

10ConclusionNot OK

11

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13

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17

18

19

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21

22

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100

Clear Data

Reset All

Calculate

*- * -Process InformationData Collection Plan for Y

MeasureData typeWhatHowFrequencySourcePeriodSizeY1Y2

DomainFTE SizeOpn WindowTypeProductClientBilling Type

*- * -

Normality & Stability Testing

*- * -

Capability Analysis

*Sigma Calculator for non-normally distributed Y or Discrete (Attribute) data Type- * -CA Discrete Data

Sheet1

Sheet2

Sheet3

Process Sigma Discrete

Process Sigma Calculator - Discrete Data

Number of Units ProcessedN26

Total Number of DefectsD20

Number of Defect Opportunities per UnitO1

Defects per million opportunitiesdpmo769230.8

Defects as percentage76.92%

Process Sigma LevelSigma0.76

Notes:

1. Total number of defects should include defects made and later fixed.

2. Sigma level incorporates 1.5 sigma shift.

3. Sample size should be large enough to observe 5 defects.

0.23

SigmaXL Copyright 2004-0.26923076920.1081397929

1.08140E-017.6923E-01

1.4914189116

0.761.2364815594

-0.7363159174

-0.1085810884

-3.50858E+00

-0.73631591740.7636840826

1.23648155942.7364815594

-0.18165861851.3183413815

2.50908092873E+03

3.34305755836E+04

6.72657709270E+04

4.59219539315E+04

1.37316937655E+04

1.97159095031E+03

1.33141667892E+02

3.38713287280E+00

5.22649527885E+03

2.87290857357E+04

3.93078958001E+04

2.12137943016E+04

5.39419602142E+03

6.87187007492E+02

4.23133307016E+01

7.74545014278E-04

2.27238449893E-02

2.41780725177E-01

1.27045825245E+00

3.64784832476E+00

5.76949722146E+00

4.63033784616E+00

1.42343711075E+00

2.05319162664E+00

1.67638483018E+00

6.89767334985E-01

1.48103976427E-01

1.51986665636E-02

5.47593808500E-04

1.05075007164E-09

6.65790464350E+00

5.46378491116E+00

1.78482653992E+00

2.96560571829E-01

2.65321895266E-02

1.24266094739E-03

2.71155556874E-05

2.01033439929E-07

5.99832206556E-01

1.36929880923E-01

1.48753612909E-02

7.86869131146E-04

1.84631831751E-05

1.42151175832E-07

2.04426310339E-15

*Help : To be used only if Y is normally distributed.- * -CA Continuous Data

Sheet1

Sheet2

Sheet3









Notes:




0.99

SigmaXL Copyright 20040.49-0.059475

1.00000E-021.0000E-02

2.1459659586

3.832.326347765

2.326347765

0.5459659586

-2.85403E+00

2.32605335183.8260533518

2.3263477653.826347765

-0.86322404970.6367759503

2.50908092873E+03

3.34305755836E+04

6.72657709270E+04

4.59219539315E+04

1.37316937655E+04

1.97159095031E+03

1.33141667892E+02

3.38713287280E+00

5.22649527885E+03

2.87290857357E+04

3.93078958001E+04

2.12137943016E+04

5.39419602142E+03

6.87187007492E+02

4.23133307016E+01

7.74545014278E-04

2.27238449893E-02

2.41780725177E-01

1.27045825245E+00

3.64784832476E+00

5.76949722146E+00

4.63033784616E+00

1.42343711075E+00

2.05319162664E+00

1.67638483018E+00

6.89767334985E-01

1.48103976427E-01

1.51986665636E-02

5.47593808500E-04

1.05075007164E-09

6.65790464350E+00

5.46378491116E+00

1.78482653992E+00

2.96560571829E-01

2.65321895266E-02

1.24266094739E-03

2.71155556874E-05

2.01033439929E-07

5.99832206556E-01

1.36929880923E-01

1.48753612909E-02

7.86869131146E-04

1.84631831751E-05

1.42151175832E-07

2.04426310339E-15

Process Sigma Continuous

Process Sigma Calculator - Continuous Data

Enter Mean:X-bar

Enter Standard Deviation:S

Enter USL:

Enter LSL:

Expected ppm > USL

Expected % > USL0

Expected ppm < LSL0

Expected % < LSL

Yield %100.00%

Sigma Level0.001

0.5-0.069375

0.00000E+000.0000E+00

0.000

0

SigmaXL Copyright 20040

0

0.00000E+00

3.20561446684.7056144668

00

00

2.50908092873E+03

3.34305755836E+04

6.72657709270E+04

4.59219539315E+04

1.37316937655E+04

1.97159095031E+03

1.33141667892E+02

3.38713287280E+00

5.22649527885E+03

2.87290857357E+04

3.93078958001E+04

2.12137943016E+04

5.39419602142E+03

6.87187007492E+02

4.23133307016E+01

7.74545014278E-04

2.27238449893E-02

2.41780725177E-01

1.27045825245E+00

3.64784832476E+00

5.76949722146E+00

4.63033784616E+00

1.42343711075E+00

2.05319162664E+00

1.67638483018E+00

6.89767334985E-01

1.48103976427E-01

1.51986665636E-02

5.47593808500E-04

1.05075007164E-09

6.65790464350E+00

5.46378491116E+00

1.78482653992E+00

2.96560571829E-01

2.65321895266E-02

1.24266094739E-03

2.71155556874E-05

2.01033439929E-07

5.99832206556E-01

1.36929880923E-01

1.48753612909E-02

7.86869131146E-04

1.84631831751E-05

1.42151175832E-07

2.04426310339E-15

*Please do not select Primary Metric as Output Indicator.- * -IPO Metrics

- * -What are the Potential Causes of the Defect? (Enter it for your project in the form of a question)MaterialsPeopleMethods / ProceduresMachines / EquipmentMeasurementEnvironmentSample text for you to replaceSample text for you to replaceSample text for you to replaceSample text for you to replaceSample text for you to replaceSample text for you to replaceSample text for you to replaceSample text for you to replaceEffect (Y)Potential Causes (Xs)Cause & Effect Diagram

- * -Conversion of Cause to Xs

Sr. No.Root Cause Corresponding XD/ CUnit of Measure

- * -Cause & Effect Matrix

Cause-Effect MatrixOutput #1Output #2Output #3Output #4

*- * -Data Collection Plan for X

MeasureData typeWhatHowFrequencySourcePeriodSize

- * -Analyze Phase Deliverables

DeliverableTarget Completion DateActual Completion DateFMEAList of FMEA Action PlansExploratory Graphical TestingStatistical Test Plan and ResultsValidated X's Summary

- * -FMEA

FMEA

Failure Modes & Effects Analysis

Process/Product:Loan Application ProcessFMEA Date: (original)

FMEA Team:(Revised)

Black Belt:Revision Mo:

ProcessActionsResults

Item Process StepsPotential Failure ModePotential Effects of FailureSeverityPotential Cause(s) of FailureOccurrenceCurrent ControlsDetectionRisk Priority NumberRecommended ActionResponsibility and Target Completion DateAction TakenSeverityOccurrenceDetectionRisk Priority Number

Process Steps identified from Top Down ChartIn what ways might the process step may failWhat is the effect of each failure mode on the outputs or Primary metric?How Severe is the effect on the output or the primary metric?What is the root cause of failure mode?Describe in terms of something that can be corrected or controlled.How often does the cause or failure mode occur?What are the existing controls and that either prevent failure mode from occurring or detect the failure should it occur?How well can you detect cause or FM?SEV x OCC x DETWhat are the actions for reducing the occurrence, or improving detection, or for identifying the root cause if it is unknown? Should have actions only on high RPN's or easy fixes.Who is responsible for the recommended action?List the completed actions that are included in the recalculated RPN.What is the new severity?What is the new occurrence?Where are the new detection capabilities?Recompute RPN after actions are complete.

Customer calls customer serviceNo custoemr service rep to pickup callsUnsatisfied customer taking business to competitors9Customer service reps too busy7Process and resource audit conducted every six months53150

9Not enought phone lines5None104500

0

0

0

0

0

0

0

0

0

0

0

0

0

&L&"Arial,Bold"&10TCS Confidential

- * -

Action Plan based on FMEA

- * -

Validated Xs

X Data TypeY Data TypeTest UsedInference

- * -Identification of Critical Xs

- * -Improve Phase Deliverables

DeliverableTarget Completion DateActual Completion DateSolution Generation for Validated X'sPilot Implementation PlanPilot ResultsHypothesis test / Sigma Level CalculationControl ChartsFinancial Benefit EndorsementHorizontal Deployment

- * -Statistical AnalysisGEMBA - Observations on FloorSolutions Generated

Validated XsPossible SolutionsAccepted (Y/N)Tool Used

ObservationsPossible SolutionsAccepted (Y/N)Tool Used

- * -Pilot Solution Implementation

Sigma Calculator for non-normally distributed Y or Discrete (Attribute) data Type- * -Process Sigma After Discrete

Sheet1

Sheet2

Sheet3



Number of Units ProcessedN

Total Number of DefectsD

Number of Defect Opportunities per UnitO




Notes:




0.00


0.00000E+000.0000E+00

0

0.000

0

0

0.00000E+00

00

00

00

2.50908092873E+03

3.34305755836E+04

6.72657709270E+04

4.59219539315E+04

1.37316937655E+04

1.97159095031E+03

1.33141667892E+02

3.38713287280E+00

5.22649527885E+03

2.87290857357E+04

3.93078958001E+04

2.12137943016E+04

5.39419602142E+03

6.87187007492E+02

4.23133307016E+01

7.74545014278E-04

2.27238449893E-02

2.41780725177E-01

1.27045825245E+00

3.64784832476E+00

5.76949722146E+00

4.63033784616E+00

1.42343711075E+00

2.05319162664E+00

1.67638483018E+00

6.89767334985E-01

1.48103976427E-01

1.51986665636E-02

5.47593808500E-04

1.05075007164E-09

6.65790464350E+00

5.46378491116E+00

1.78482653992E+00

2.96560571829E-01

2.65321895266E-02

1.24266094739E-03

2.71155556874E-05

2.01033439929E-07

5.99832206556E-01

1.36929880923E-01

1.48753612909E-02

7.86869131146E-04

1.84631831751E-05

1.42151175832E-07

2.04426310339E-15

Help : To be used only if Y is normally distributed.- * -Process Sigma After Continuous

Sheet1

Sheet2

Sheet3









Notes:




0.99

SigmaXL Copyright 20040.49-0.059475

1.00000E-021.0000E-02

2.1459659586

3.832.326347765

2.326347765

0.5459659586

-2.85403E+00

2.32605335183.8260533518

2.3263477653.826347765

-0.86322404970.6367759503

2.50908092873E+03

3.34305755836E+04

6.72657709270E+04

4.59219539315E+04

1.37316937655E+04

1.97159095031E+03

1.33141667892E+02

3.38713287280E+00

5.22649527885E+03

2.87290857357E+04

3.93078958001E+04

2.12137943016E+04

5.39419602142E+03

6.87187007492E+02

4.23133307016E+01

7.74545014278E-04

2.27238449893E-02

2.41780725177E-01

1.27045825245E+00

3.64784832476E+00

5.76949722146E+00

4.63033784616E+00

1.42343711075E+00

2.05319162664E+00

1.67638483018E+00

6.89767334985E-01

1.48103976427E-01

1.51986665636E-02

5.47593808500E-04

1.05075007164E-09

6.65790464350E+00

5.46378491116E+00

1.78482653992E+00

2.96560571829E-01

2.65321895266E-02

1.24266094739E-03

2.71155556874E-05

2.01033439929E-07

5.99832206556E-01

1.36929880923E-01

1.48753612909E-02

7.86869131146E-04

1.84631831751E-05

1.42151175832E-07

2.04426310339E-15

Process Sigma Continuous

Process Sigma Calculator - Continuous Data

Enter Mean:X-bar

Enter Standard Deviation:S

Enter USL:

Enter LSL:

Expected ppm > USL

Expected % > USL0

Expected ppm < LSL0

Expected % < LSL

Yield %100.00%

Sigma Level0.001

0.5-0.069375

0.00000E+000.0000E+00

0.000

0


0

0.00000E+00

3.20561446684.7056144668

00

00

2.50908092873E+03

3.34305755836E+04

6.72657709270E+04

4.59219539315E+04

1.37316937655E+04

1.97159095031E+03

1.33141667892E+02

3.38713287280E+00

5.22649527885E+03

2.87290857357E+04

3.93078958001E+04

2.12137943016E+04

5.39419602142E+03

6.87187007492E+02

4.23133307016E+01

7.74545014278E-04

2.27238449893E-02

2.41780725177E-01

1.27045825245E+00

3.64784832476E+00

5.76949722146E+00

4.63033784616E+00

1.42343711075E+00

2.05319162664E+00

1.67638483018E+00

6.89767334985E-01

1.48103976427E-01

1.51986665636E-02

5.47593808500E-04

1.05075007164E-09

6.65790464350E+00

5.46378491116E+00

1.78482653992E+00

2.96560571829E-01

2.65321895266E-02

1.24266094739E-03

2.71155556874E-05

2.01033439929E-07

5.99832206556E-01

1.36929880923E-01

1.48753612909E-02

7.86869131146E-04

1.84631831751E-05

1.42151175832E-07

2.04426310339E-15

- * -Control Phase Deliverables

DeliverableTarget Completion DateActual Completion DateControl PlanControl ChartsFinancial Benefit Calculation and endorsementProject transition action planHorizontal Deployments & Benefits realizedProject summary ( Four Blocker )

- * -Control Plan

Control Plan

Control PlanSPC / SPM

Process StepWhat'sControlled?Measurement MethodControl MethodFrequencyResponsibilityDecision Rule/ Corrective ActionInspection

Process step from TDCMention the parameter (Input-X / Output - Y) being controlledHow will you measure / know the status/value of the parameter "What's Controlled"?How will you ensure that the parameter remains within specifications or meets requirements?What is the frequency / interval for sample collection/ measurement?Who is responsible for taking the actionWhat action should be taken in case the parameter fails to meet requirements/ specification? What will be the action if repeated failures happen?SOP

SOP

Warning Signal

&L&"Arial,Bold"&10TCS Confidential

- * -Control Charts

- * -Benefits from ProjectComparison with the actual & estimated benefitse.g Must clearly indicate breakthrough improvement as a result of the project in one or more of the following ways:Reduction in defects (90% or more) Increase in process sigma level (minimum of 2-sigma increase if initial sigma level was less than or equal to 3; minimum of 1-sigma increase if initial sigma level was greater than 3) Financial benefit (minimum $250,000 in U.S. dollars AND 5x or more return on investment, calculated to include the cost of the project and resulting expenses) Customer Endorsement or Business EndorsementFinancial Benefit Calculation & Endorsement

Detailed worksheet - * -Project Transition Action Plan

PTAP

Project Title:

Transition Owner:

Plan Date:

Actions Required for CompletionActionOwnerInitialsScheduledCompletionActualCompletion

1

2

3

4

5

6

7

8

9

10

11

Signatures:

Transition Owner

Process Owner

Master Black Belt

Black Belt

Project Transition Action Plan

- * -Horizontal Deployments

.

- * -Project Summary

Thank You

**Help Slide Not Critical*Non Critical*Critical*Critical*Critical*Not Critical*Critical**CriticalNot CriticalNot Critical*Critical Use Swim lane , Top down chart as deemed appropriate.**Critical

*Critical

Draw Example of Possible Quick Wins on flip chart

Possible Quick Wins:

Eliminate sales rep from process,Determine whether loan or lease at earliest stepDont hang up until application completeSales reps answer phonesCritical ( Optional )

It is necessary to classify each occurrence with its TRUE value.For example, if parts are to be declared as either Non-defective or Defective, the truth column provides N or D, depending on if that part is truly defective or not.

The data sheet still uses three operators and three trials to measure both reproducibility and repeatability. The response of each operator on each trial (N or D) is compared to the truth column.

There is no set number of samples that must be taken, however when the analysis is complete it will be more apparent the need for larger sample sizes. *Critical

Critical

*Critical (Optional Slide 16/17 or 18)



*Non Critical

*Critical*Critical*Not Critical*Critical*Not Critical**CriticalCritical*Critical*Critical*Not Critical

*Critical*Critical*Critical (Optional Slide 33/34)*Critical (Optional Slide 33/34)

*Non Critical

**CriticalCritical*Critical*Non Critical*Critical ( Optional in cases where there are no HDs)**Critical**Non Critical

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