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  • 8/13/2019 Human Errors Reduction

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  • 8/13/2019 Human Errors Reduction

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    Copyright Xansa plc 2005 2

    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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    Copyright Xansa plc 2005 3

    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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    Copyright Xansa plc 2005 4

    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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    Copyright Xansa plc 2005 5

    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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    Copyright Xansa plc 2005 6

    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