analyse phase

ANALYSE PHASE

Project leader S wants to compare averages of two groups. Project Leader wants to find the minimum sample required to detect difference of minimum 7 days in averages at 90% power and 5% significance level. The empirical standard deviation is 14.

Sample Size: 86

Project leader B wants to compare proportion of two groups. Project Leader wants to determine the minimum required sample at 90% power and 5% significance level. Expected proportion values are 12% and 25%.

Sample Size: 186

Analyzing Criticality of Potential Inputs for S

CTQ/CTY Time to receive Payments

Potential X Customer type

Individual Corporate Govt Inference

Normality p-value 0.148 0.176 0.644 Normally distributed

Bartlett test 0.117 Variances equal

ANOVA 0 Averages unequal

Critical Factor Yes







Critical Factor Yes







Critical Factor Yes

CTQ/CTY Time to receive payments

Potential X Analyst Experience

<2 years > 2 years Inference

Normality p-value 0.177 0.15 Normally distributed

F-test 0.049 Variances unequal

2-sample t test 0.008 Averages unequal

Critical Factor Yes


Potential X Priority

Low Med High Inference



ANOVA 0.494 Averages Equal

Critical Factor No


Potential X Customer Region

Asia Europe US Inference



ANOVA 0.953 Averages equal

Critical Factor No


Potential X Customer Region

Asia Europe US Inference



ANOVA 0.953 Averages equal

Critical Factor No

Analyzing Criticality of Potential Inputs for B

CTQ Factor Test P-ValueCritical

(yes/No)

Late Payment % Tax Issue2-

proportion 0 Yes

Late Payment % PriorityChi-Square

test 0.349 No

Late Payment %Customer

TypeChi-Square

test 0 Yes

Late Payment %Customer Address

2-proportion 0.001 Yes

Late Payment % RegionChi-Square

test 0.894 No

Late Payment %Product

TypeChi-Square

test 0.411 No

Late Payment %Analyst

Experience2-

proportion 0.146 No

FMEA

Potential Failure Mode

Potential Failure Effects (KPOVs)

SEV Potential Causes of Failure (KPIVs)

OCC Current Process Controls DET RPN

Incorrect customer address

captured

cab doesn’t reach customer by schedule

pick up time8

language barrier (1 in 30000)

3

1. Driver details messaged to customer.

2. Driver calls customer (83%)

8 192

Incorrect customer address captured

cab doesn’t reach customer by

scheduled pick up time

8System outage (1 in 200000)

2

1. Driver details messaged to customer

2. Driver calls customer for conformation (88-90%)

6 96

Analyze Phase Summary

Mr. S & B wanted to identify the critical Xs that are affecting the CTQs. Six Sigma team with the SME brainstormed to identify Xs, grouped them in logical categories using an Affinity Diagram and then explored the cause and effect relationship using a Fishbone Diagram.

The identified potential Xs are:

Tax Issues

Customer Region

Customer Address

Inexperienced Analyst

Product Type

Invoice Priority Type

Customer Type

Mr. S & B collected data for all the potential Xs to validate whether they are critical

e.g. Mr. S compared the Average time taken to get payment of invoices with tax issues versus Average time to get payment of invoices without tax issues. Similarly he carried out this exercise for other potential Xs

Whereas Mr. B compared the %late payment of invoices with tax issues versus %late payment of invoices without tax issues. Similarly he also carried out this exercise for other potential Xs

Critical Xs by Mr. S

Critical Xs by Mr. B

Tax Issues Tax IssuesCustomer Type Customer TypeCustomer Address Customer AddressAnalyst Experience

analyse phase

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