human errors reduction
TRANSCRIPT
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Project Theme
AgentQuery/day
Before After
Project
Benefits
CTQ
Define
Reducing Human Errors from the Name Section of the
Process from 100% to 50% by End of Q2 , 2007.
473 217
Process Flow
PHASE START ENDDefine 17- May-2007 25- May- 2007
Measure 28-May-2007 15-June-2007
Analyze 18-June-2007 6-July-2007
Improve 9- July-2007 27- July-2007
Control 30-July-2007 10-Aug-2007
start
A1
A2
A3
stop
A1-4 Weeks training to new joiners
A2- 3/4 Weeks of Ramp Up
A3-Agent starts doing 450 forms.
1. Pain Area: Score card2. Resource Optimization
Project Description
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Measure
Count
Percent
AGENT NAME
Count 1919181715131211101037 10 9 9 8 8 7 7 6 6 632 5 5 4 22
Percent 8 7 7 6 5
31
5 4 4 4 4 4 4 3 3 3
27
2 2 2 2 2 2 2 2 1 1
25
1 1 1 1 1 1 5
Cum % 815
24
21273237424650545861
21
64677072747678808284
20
868789909192939595100
Othe
r
Jaspa
lSing
h
KapilB
hola
AmitKumarDey
SachinSe
hga
l
Rajen
derKrS
harma
AmarKuma
r
SunilRawa
t
PremaD
hyan
i
Shis
hpa
l
AmitKalra
PremaBish
t
NeenaRawa
t
Van
danaPo
khriya
l
TarunSing
h
Fara
hQuresh
i
Jaspa
lKau
r
San
dhyaKin
i
LalitMo
han
GauravWa
dhwa
Tajin
derPa
lSing
h
ShilpaGupta
VikasMeena
DeveshKr.C
hourasia
ShashiB
hushanKuma
r
Jamshe
dA
hma
d
NavjotKau
r
Surb
hiB
hutan
i
Su
dhirJosh
i
SanjeevKrS
harma
VikramS
harma
AmitKr.Senga
r
500
400
300
200
100
0
100
80
60
40
20
0
Agentwise error pareto
Major Contributors % Errors % CumulativeAmit Kr. Sengar 37 17% 17%Vikram Sharma 32 15% 32%Sanjeev Sharma 31 14% 46%Sudhir Joshi 27 12% 59%Surbhi Bhutani 25 12% 70%Navjot Kaur 24 11% 81%Jamshed Ahmad 21 10% 91%Shashi Bhushan 20 9% 100%
217 100%
ANALYSIS
PHASE
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Types of Errors % Errors % CumulativeName 139 34% 34%Phone-Email 50 28% 62%Rej Resend 66 14% 76%Address 76 12% 88%DOB 40 5% 93%Wrong Form No 26 5% 98%PAP_Non PAF_Foreign 13 1% 99%Wrong Status on Doc-Harbor 19 1% 100%
429 100%
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Measure
Detailed process
flow
MailSource Prep
and Sort(Day 1)
2ndary sort & prep
/arrange forms inbatches of approx50 of same form
number(day 2)
Receive Forms at
Anacomp(day 2)
Courier toAnacomp
(Pick up day 1
arrive day 2)
Run batch numberspreadsheet
(day 2)
Add header withbatch number to
each batch(day 2)
Archive forms for 3
months(day 2)
Scan batches of50 into one of 50
queues accordingto Algorithm
(day 2)
Group into formtype
(day 3)
Find the hard copydocument
(day 3)
Check for re-scans
(day 3)
Run batch numberspreadsheet
(day 3)
Add header withbatch number to
each batch(day 3)
Archive forms for 3months(day 3)
Scan batches ofinto one of 50
queues accordingto Algorithm
(day 3)
Produce Reports
during the day(day 2 / day 3)
Re-index to Re-
scan(day 2 / day 3)
Operators viewforms on DH. Ifform acceptable
input to DCH,otherwise re-index
(day 2 / day 3)
Supervisors usereport to set up
work allocation foroperators
(day 2 / day 3)
Supervisor QAs all
resends(day 2 / day 3)
Check details onACOS using CCC
type I/F andcomplete if
possible(day 2 / day 3)
CCC pick up formover the internet
and try to
complete it(day 4)
If not possible re-index as Re-sendwith QA status =
yes(day 2 / day 3)
File from Anacomp which includes- Pick up date- Ingestion date into docHarbor
- No of forms scanned- Batch Number- Queue Number
File from Anacomp
A
A
Form OK input to
DCH and update/get next in DH(day 2 / day 3)
Form not OKResend
(day 2 / day 3)
Form not OKReject
(day 2 / day 3)
Supervisor QAs
5% of batch(day 2 / day 3)
Complete checks,correct mistakes
and update qualityinformation
(day 2 / day 3)
Supervisor QAs. If
a reject set QA =yes if a resend
check using ACOS
(day 2 / day 3)
Mark batch asQA=yes and
submit DCH input
to overnight batchrun
(day 2 / day 3)
DCH System
Report
DH Batch rangequeries
Produce Report inExcel
Compare reportsto reconcile DCH
work and DH work
Reconciliation
MailSource
Key
Anacomp Xansa CCC
ACOS II High Level Processes
Hard copy returns to CC
Hard copy returns to CCCRejects destroyed at end
of week
Prioritizing Process Output through Process flow
QA Time Loss =
Agent Time Loss =
Total Loss =
Loss of Productivity =
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Measure
Data Collection Plan Error Causing Elements:
Rushing on Files
Knowledge Gaps
Lack of ConcentrationCascading Process not Fool Proof
New to the Process
Key Board Process
Transport Problem
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Measure
Amit Kr. Sengar Surbhi BhutaniPart Trial1 Trial2 P1 Trial1 Trial2 P21 yes yes 1 yes yes 12 yes yes 1 yes yes 13 yes yes 1 yes yes 14 yes yes 1 yes yes 15 yes yes 1 yes yes 16 yes yes 1 no yes 07 yes yes 1 yes yes 18 yes yes 1 yes yes 19 no no 1 yes yes 110 no yes 0 yes yes 111 yes yes 1 yes yes 112 yes yes 1 yes yes 113 yes yes 1 yes yes 114 yes yes 1 yes yes 115 yes yes 1 yes yes 116 yes yes 1 yes yes 117 yes yes 1 yes yes 118 yes yes 1 yes yes 119 yes yes 1 yes yes 120 yes yes 1 yes yes 1
Navjot KaurTrial1 Trial2 P3yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1
Vikarm SharmaTrial1 Trial2 P10yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1no no 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1yes yes 1
Process Gage R & R with present status:
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Measure
Process Gage R & R with present status :
Appraiser
Percent
VinaySunitaShwetaMohit
100
95
90
85
80
75
95.0% CI
Percent
Appraiser
Percent
VinaySunitaShwetaMohit
100
95
90
85
80
75
95.0% C I
Percent
Date of study:
Reported by:
Name of product:
Misc:
Assessment Agreement
Within Appraisers Appraiser vs Standard
Attribute Agreement Analysis for response
Within Appraisers
Assessment Agreement
Appraiser # Inspected # Matched Percent 95 % CI
Mohit 20 19 95.00 (75.13, 99.87)
Shweta 20 19 95.00 (75.13, 99.87)
Sunita 20 19 95.00 (75.13, 99.87)
Vinay 20 20 100.00 (86.09, 100.00)
Each Appraiser vs Standard
Assessment Agreement
Appraiser # Inspected # Matched Percent 95 % CI
Mohit 20 19 95.00 (75.13, 99.87)
Shweta 20 19 95.00 (75.13, 99.87)Sunita 20 19 95.00 (75.13, 99.87)
Vinay 20 20 100.00 (86.09, 100.00)
Between Appraisers
Assessment Agreement
# Inspected # Matched Percent 95 % CI
20 18 90.00 (68.30, 98.77)
All Appraisers vs Standard
Assessment Agreement
# Inspected # Matched Percent 95 % CI
20 18 90.00 (68.30, 98.77)
GR&R accepted after Refresher & Training
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Analyze
Brainstorming for Queries in processLevel 1 Brainstorming
Sl.
No. 4M / 4P + 1E Brainstorm points1 Man/ People 1.1 Lack of Concentration
1.1.1 Listening to Music
1.1.2 Human Tendency
1.2 Lack of Concentration
1.2.1 Discipline on the Floor1.3 Higher Frequency of Error Observed Before or after Break1.4 Rushing on Files
2 Machine /process2.1 Key Board Problem
2.1.1 Hampers smooth Processing
2.1.2 Causes Irritation2.2 Unhygienic Food2.2.1 Mentally Upset2.3 Transport Problem
2.3.1 Rushing on Files2.4 Transport Problem
2.3.1 Wastage of Productive Time
2.3.2 Rushing on Files3 Material/Place 3.1 Unable to Analyse3.1.1 New to the Process
3.2 Unable to Analyse
3.2.1 Handwriting Problem
3.2.2 New to the Process4 Method / Procedure 4.1 Knowledge Gaps4.1.1 New to the Process
4.2 Knowledge Gaps
4.2.1 Not familiar with the county names4.3 Updates4.3.1. Cascading Process not fool Proof
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Analyze
Cause & Effect deployment chart
Hypothesis development
Condition for alternate hypothesis :
1. Confidence on self
2. Non clarity of update & Process.
Rating of Importance to Customer ( 1 to 10)Productivity Target Quality Target
TotalNo 10 10
Customer Requirements A BNo Process Inputs1 Interpretation problem 1 4 502 Confidence on Self 9 9 1803 Experience 4 4 804 Skill 4 9 1305
Concentration
4
4
80
6 Non Clarity of update & Process 9 9 1807 Length of Email 1 4 508 Calculation Mistake 1 4 509 Judgment Mistake 0 9 9010 Shift Time 1 4 50
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Analyze
Hypothesis Testing-1
Since P value is less than 0.05 thus alternate hypothesis accepted
1) Condition for alternate hypothesis :
- Test after Refresher
Hypothesis Testing -2
2) Condition for alternate hypothesis :
- Query Sheet
Sample X N Sample p
1 72 225 0.320000
2 55 235 0.234043
Difference = p (1) - p (2)
Estimate for difference: 0.0859574
95% CI for difference: (0.00443737, 0.167478)
Test for difference = 0 (vs not = 0): Z = 2.07 P-Value = 0.039
Test and CI for Two Proportions
Test and CI for Two Proportions
Sample X N Sample p
1 55 235 0.234043
2 41 258 0.158915
Difference = p (1) - p (2)
Estimate for difference: 0.0751278
95% CI for difference: (0.00498132, 0.145274)
Test for difference = 0 (vs not = 0): Z = 2.10 P-Value = 0.036
Since P value is less than 0.05 thus alternate hypothesis accepted
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Improve
Refresher Policy
Test After Refresher PolicyQuery Policy Control Charts
GR& R Policy
Analyze
Hypothesis Testing-3
Since P value is less than 0.05 thus alternate hypothesis accepted
1) Condition for alternate hypothesis :
- Monthly GR&R
( Not a vital few but selected after
Repeat GR&R Session)
Test and CI for Two Proportions
Sample X N Sample p
1 60 258 0.2325582 36 258 0.139535
Difference = p (1) - p (2)
Estimate for difference: 0.0930233
95% CI for difference: (0.0263519, 0.159695)
Test for difference = 0 (vs not = 0): Z = 2.73 P-Value = 0.006
4W1H
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Improve Updated Process Flow with Controls
Average queries reduced from 8 to 4 per person per day (50% reduction)
Average transactions increased (24 minutes saved pre person per day)= 3 (9% increase)
Savings
Work Flow After Project was done:
A1:4 Weeks training to new joinees.
A2- 1 Week of Ramp up.
A3-Refresher* session + test of identified policies will be conducted.
*Refresher to be updated every Month
A4-Two weeks of remaining Ramp.
A5-Agent starts doing 28 E-mails.**
** GR&R of appraiser Vs. standard - Every month
A6 - Queries of every person will be tracked on daily basis ( Template 1).
A7- If Suddenly agents start asking more queries, then A3 will be repeated.
>10% = Refresher same day
10 ~ 25% = Refresher +Test +GR&R
>25% = PIP
start
A1
A2
A3
A4
A5
stop
A6
A7
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Control
Based on Daily output only X Bar chart is designed for control of output
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Replication
Sub Process Replication Action Responsibility
Date of
implementation
PWQ Hourly monitoring sheet forperformance visibility
Control on break time by
freezing hourly targets
Training program based on no of
queries asked
Process flow for Top 80%contributor work
Shameel 15-Sep-07CC2 Ajmal 15-Sep-07GA Shameel 15-Sep-07Pending Shoaib 15-Sep-07
Replication Control
Replication Control
Sub Process Replication control Responsibility Date ofimplementationPWQ
1. New process flow to be updated inWord standards
2. All check points to be added in ISO
documentation
Shameel 30-Sep-07CC2 Ajmal 30-Sep-07GA Shameel 30-Sep-07Pending Shaoib 30-Sep-07
Learning's From Acorn (CC1) process are to be replicated across sub
processes as per below plan