35
1 Property Handling Process Insert Picture of Defect or Process Project Start: 10 / 2009 Project Revision: 8 / 2010 Project Champion: Diannia Jackson Black/Green Belt: Jimmy Toler

Property Handling Process

  • Upload
    others

  • View
    2

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Property Handling Process

1

Property Handling Process

Insert Picture of Defect or Process

Project Start: 10 / 2009

Project Revision: 8 / 2010

Project Champion: Diannia Jackson

Black/Green Belt: Jimmy Toler

Page 2: Property Handling Process

2

Define Phase

1. Select Output Characteristics

•The Property Handling Process was

identified in order to improve the long

term storage, inventory, and tracking of

property items submitted to the Tyler

Police Department.

Page 3: Property Handling Process

3

Property Process Breakdown

1. Initial Documentation and

Handling of Property

2. Storage and Tracking of Property

3. Disposition of Property

Define Phase

1. Select Output Characteristics

Page 4: Property Handling Process

4

•Initial Documentation and Handling of Property:

•Includes:

• Identification

• Initial Handling and Collection

• Transportation

• Documentation

• Packaging

• Storage

Define Phase

1. Select Output Characteristics

Page 5: Property Handling Process

5

• Types of Data

1.Number of Cases Processed

2.Number of Items Processed

3.Number of Defects

a.Type of Defect

Define Phase

1. Select Output Characteristics

Page 6: Property Handling Process

6

• Week 1

• 124 Cases

• 349 Property Items

• 51 Defects

• 48 Documentation Defects

• 3 Packaging Defects

• 14.6% Defect Rate

Define Phase

1. Select Output Characteristics

Page 7: Property Handling Process

7

• Week 2

• 96 Cases

• 313 Property Items

• 72 Defects

• 71 Documentation Defects

• 1 Packaging Defects

• 22.7% Defect Rate

Define Phase

1. Select Output Characteristics

Page 8: Property Handling Process

8

3530252015105

Median

Mean

3025201510

1st Q uartile 9.524

Median 19.444

3rd Q uartile 25.000

Maximum 34.211

10.309 27.612

8.945 27.456

6.028 20.600

A -Squared 0.17

P-V alue 0.899

Mean 18.961

StDev 9.355

V ariance 87.511

Skewness 0.378381

Kurtosis -0.401463

N 7

Minimum 7.353

A nderson-Darling Normality Test

95% C onfidence Interv al for Mean

95% C onfidence Interv al for Median

95% C onfidence Interv al for StDev

95% Confidence Intervals

Summary for Percent Defective Per Day Average

defects per

day = 18.961

Standard

Deviation =

9.355

Define Phase

1. Select Output Characteristics

Page 9: Property Handling Process

9

11/17/200911/16/200911/12/200911/11/200911/10/200911/9/200911/2/2009

35

30

25

20

15

10

Date

Pe

rce

nt

De

fecti

ve

Time Series Plot of Percent DefectiveTime

Series

Chart

reflects

the

percent

(%) of

defects

per day

Define Phase

1. Select Output Characteristics

Page 10: Property Handling Process

Define Phase

2. Define Performance Standards

The problem

statement

identifies the

purpose of the

project.

The project

objective

identifies a goal

of a 75%

reduction in

defects.

Page 11: Property Handling Process

11

Measure Phase 4. Establish Baseline Process Capability

• Initial Capability Analysis

Initial Process

represented a

Sigma Level of

.92

Page 12: Property Handling Process

12

Take Possession of Property

Transport Property Property Handling

Store Property

Identify Property

List Items on Property Page (s)

Property Log Book

Narcotics Log Book

D.P.S. Lab Submission Form

Property Locker

Narcotics Locker

Property Lot

Drying Shed

Mailbox

CSI Processing Y/N

Package to Protect Item

Secure Item for Transportation

Dry / Wet ItemCSI Processing

Y/N

Special Handling Procedures for

Wet Items

Package Item:PaperPlastic

EnvelopeC.D. HolderPaper TagMetal Tag

Box

(Yes) CSI Request Sheet

Wet

(Dry)

(No)

CSI

Measure Phase

6. Identify Variation Sources

Page 13: Property Handling Process

13

Packaging Evidence

Personnel

Storage

Shift

Size of Item

Packaging

Location

Supervisor

Training

Supplies

Area

Training

Large Property Lot

Drug Locker

Locker

Drying Shed

Documentation

Log Book Property Sheet

Drug Log Sheet

Property Log Sheet

DPS Lab Submission Sheet

Officer Initials and Date

Type of Item

Measurement

Facility Room

I.D. Data

Item Description

Date

Signature

Case Number

Common Sense

Machine

Staplers

Tape

Heat Sealer

Digital Scales

Refrigerator

Paper

Plastic

Tags

Size of Item

Small / Medium / Large

Improper StorageCSI Submission Form

2 Copies left in Property

CSI

Explosive Mailbox

Cause

Size

Boxes

PaperMetal

Incomplete data

Inaccurate Data

Measure Phase

6. Identify Variation Sources

Page 14: Property Handling Process

14

• Preparing FMEA

Measure Phase

6. Identify Variation Sources

Page 15: Property Handling Process

Defect Percentage 66.67 14.22 7.11 7.11 4.88

Percent 66.7 14.2 7.1 7.1 4.9

Cum % 66.7 80.9 88.0 95.1 100.0

Defect Type

Other

Inco

rrec

t In

form

ation P ro

perty S

heet

Impo

per

Pac

kag

ing

Inco

rrec

t Subm

ittal of P

aperwor

k

Inco

mplete In

fo on P

rope

rty Sh

eet

100

80

60

40

20

0

100

80

60

40

20

0

De

fect

Pe

rce

nta

ge

Pe

rce

nt

Pareto Chart of Defect Type

15

• Classification of Defects

Analyze Phase

7. Screen Potential Causes

The highest rate

of defect is

associated with

documentation

errors (88%).

Page 16: Property Handling Process

16

• Sort, Stabilize, Shine, Standardize,

Sustain

Improve Phase

9. Implement Improvements

Page 17: Property Handling Process

17

• Sort

Improve Phase

9. Implement Improvements

Page 18: Property Handling Process

18

• Stabilize

Improve Phase

9. Implement Improvements

Page 19: Property Handling Process

19

• Shine

Improve Phase

9. Implement Improvements

Before

After

Page 20: Property Handling Process

20

• Standardize

Improve Phase

9. Implement Improvements

Page 21: Property Handling Process

21

Improve Phase

9. Implement Improvements

• Property Log Book

Page 22: Property Handling Process

22

Improve Phase

9. Implement Improvements

• Packaging Materials / Supplies / Equipment

Page 23: Property Handling Process

23

Improve Phase

9. Implement Improvements

• Property Page Submission

Page 24: Property Handling Process

24

Improve Phase

9. Implement Improvements

• Property Corrections List

Page 25: Property Handling Process

25

Improve Phase 11. Determine Final Process Capability

• Overall Trend (Percent Defective / Day)

1/11

/201

0

1/5/

2010

12/29/

2009

12/2

1/20

09

12/1

5/20

09

12/9/2

009

12/3/2

009

11/25/

2009

11/1

7/20

09

11/1

1/20

09

100

80

60

40

20

0

Date

Pe

rce

nt

De

fecti

ve

MAPE 70.296

MAD 10.388

MSD 275.944

Accuracy Measures

Actual

Fits

Variable

Trend Analysis Plot for Percent DefectiveLinear Trend Model

Yt = 25.70 - 0.435165*t

Page 26: Property Handling Process

26

Improve Phase 11. Determine Final Process Capability

• Percent Defect for Each Phase of Project

2/16

/201

0

2/4/

2010

1/26

/201

0

1/14

/201

0

1/5/

2010

12/22/

2009

12/1

1/20

09

12/2/2

009

11/1

7/20

09

11/2

/200

9

1.0

0.8

0.6

0.4

0.2

0.0

Date

Pro

po

rtio

n

_P=0.053

UCL=0.211

LCL=0

Baseline Project Improvement

1

1

11

1

1

1

P Chart of Defect Count by C6

Tests performed with unequal sample sizes

The average

daily defect rate

has decreased

to 5.3% over

time. This

represents a

71.9%

improvement.

The green line

represents the

average daily

defect rate in

each phase of

the project.

Page 27: Property Handling Process

27

Improve Phase 11. Determine Final Process Capability

% Defective PPM (ST) CPK Sigma

Initial 18% 179,561 .31 .92

Goal 4.8% 44,890 .54 1.61

Improvement 4.8% 48,401 .55 1.66

Current Sigma

Level of 1.66

Page 28: Property Handling Process

28

Control Phase

12. Implement Process Controls

• Control Plan

Page 29: Property Handling Process

29

Control Phase

12. Implement Process Controls

• Control Plan

Page 30: Property Handling Process

30

Control Phase

12. Implement Controls

• Property Manual Updates

Page 31: Property Handling Process

31

Control Phase

12. Implement Process Controls

• Sustain

Page 32: Property Handling Process

32

Control Phase

12. Implement Process Controls

• Cost

• The potential savings based on a 75%

improvement equal $10,904.46.

• In addition, a 75% reduction in defects

would provide time savings to officers and

property technicians.

Page 33: Property Handling Process

33

Control Phase

1. Implement Process Controls

• Percent Defect for Each Phase of Project

The average

daily defect rate

has decreased

to 3.6% over

time. This

represents a

80.9%

improvement.

Page 34: Property Handling Process

34

Control Phase

12. Implement Process Controls

Current LT Sigma

Level of 1.83

Page 35: Property Handling Process

35

Control Phase

12. Implement Process Controls

• Property Data Costs and Savings

Month

Number of

Property

Items

Number

of Defects

Percent

Defect

Baseline

Defect

Rate

Estimated

Defects

Based on

Baseline

Evidence

Cost for all

Categories

Cost

Calculated

Costs per

Actual Defect

Soft SavingsOld labor

Cost

Cost of

TimeCost

Hard Savings

for Time

Saved

Average

Cycle Time

to Repair

(Hrs)

Estimated

Time To Repair

Estimated

Defects (Hrs)

Estimated Time

to Repair for

Actual Defects

(Hrs)

Time Saved

(Hrs)

Jan-10 505 28 5.54% 19.38% 98 6.44$ 630$ 180$ 450$ 15.00$ 53$ 15$ 38$ 0.04 3.54 1.01 3

Feb-10 739 35 4.74% 19.38% 143 6.44$ 922$ 225$ 697$ 15.00$ 78$ 19$ 59$ 0.04 5.18 1.27 4

Mar-10 1095 22 2.01% 19.38% 212 6.44$ 1,367$ 142$ 1,225$ 15.00$ 115$ 12$ 103$ 0.04 7.67 0.80 7

Apr-10 648 20 3.09% 19.38% 126 6.44$ 809$ 129$ 680$ 15.00$ 68$ 11$ 57$ 0.04 4.54 0.72 4

May-10 487 13 2.67% 19.38% 94 6.44$ 608$ 84$ 524$ 15.00$ 51$ 7$ 44$ 0.04 3.41 0.47 3

Jun-10 862 26 3.02% 19.38% 167 6.44$ 1,076$ 167$ 908$ 15.00$ 91$ 14$ 77$ 0.04 6.04 0.94 5

Jul-10 965 21 2.18% 19.38% 187 6.44$ 1,204$ 135$ 1,069$ 15.00$ 101$ 11$ 90$ 0.04 6.76 0.76 6

Aug-10 824 14 1.70% 19.38% 160 6.44$ 1,028$ 90$ 938$ 15.00$ 87$ 8$ 79$ 0.04 5.78 0.51 5

Sep-10 589 5 0.85% 19.38% 114 6.44$ 735$ 32$ 703$ 15.00$ 62$ 3$ 59$ 0.04 4.13 0.18 4

Oct-10 989 9 0.91% 19.38% 192 6.44$ 1,234$ 58$ 1,176$ 15.00$ 104$ 5$ 99$ 0.04 6.93 0.33 7

Nov-10 890 7 0.79% 19.38% 172 6.44$ 1,111$ 45$ 1,066$ 15.00$ 94$ 4$ 90$ 0.04 6.24 0.25 6

Dec-10 810 12 1.48% 19.38% 157 6.44$ 1,011$ 77$ 934$ 15.00$ 85$ 7$ 79$ 0.04 5.68 0.43 5

Jan-11 739 9 1.22% 19.38% 143 6.44$ 922$ 58$ 864$ 15.00$ 78$ 5$ 73$ 0.04 5.18 0.33 5

Feb-11 741 14 1.89% 19.38% 144 6.44$ 925$ 90$ 835$ 15.00$ 78$ 8$ 70$ 0.04 5.19 0.51 5

Mar-11 1400 8 0.57% 19.38% 271 6.44$ 1,747$ 52$ 1,696$ 15.00$ 147$ 4$ 143$ 0.04 9.81 0.29 10

Apr-11 916 5 0.55% 19.38% 178 6.44$ 1,143$ 32$ 1,111$ 15.00$ 96$ 3$ 94$ 0.04 6.42 0.18 6

14,539$

Soft Dollar Calculations

Initial Cost

Soft Savings

Total Savings

14,876$

16,129$

Hard Time Savings 1,253$

Time Savings

Time Saved (Hrs) 84

Data Hard Savings