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Lean Six Sigma
Paper Furnish Optimization
Black Belt Project
United States Gypsum Co.
Project Launched: 1/27/10
Define
2
• Value Stream Map for Deeper
Understanding and Focus
• Identify Key Input, Process and
Output Metrics
• Develop Operational Definitions
• Develop Data Collection Plan
• Validate Measurement System
• Collect Baseline Data
• Determine Process Capability
• Complete Measure Gate
Improve
Lean Six Sigma
DMAIC Improvement Process Road Map
• Project Charter
• Voice of the Customer
• SIPOC Map
• RACI Chart
• Communication Plan
• Effective Meeting Tools
• Inquiry and Advocacy Skills
• Time Lines, Milestones,
and Gantt Charting
• Review Project Charter
• Validate High-Level Value Stream Map and Scope
• Validate Voice of the Customer
and Voice of the Business
• Validate Problem Statement
and Goals
• Validate Financial Benefits
• Create Communication Plan
• Select and Launch Team
• Develop Project Schedule
• Complete Define Gate
ToolsActivities
ControlMeasureDefine Analyze
Kaizen, 5S, NVA Analysis,
Generic Pull Systems,
Four Step Rapid Setup Method
Identify and Implement Quick Improvements with Kaizen
Define
3
Project Charter
Problem: Optimization of furnish storage, blending, and
processing has not been realized.
Uncontrolled furnish blends lead to added costs for:
using more expensive furnish when not necessary
Goal: Optimize furnish handling and processing to achieve a
paper cost reduction of $xx,xxx (using expected furnish
pries from Jul10-Dec10)
Furnish substitution in filler system
Problem/Goal Statement
Gate Review Schedule
Financial Impact
Team
Reduce paper cost $xx,xxxc versus 2010
Furnish pricing using Jul10-Dec10
Total potential savings of $xx,xxx
All $ at this point are Type I hard savings
Will address weight reduction opportunities in Project 2.
Core Team members (% of contribution) – 95%
Supporting members – 5%
Project sponsor – Plant manager
LSS Deployment Champion – Corporate
Black Belt
Master Black Belt coach
Tollgate Scheduled Revised Complete
Define: 02/26/10 - 02/26/10
Measure: 03/26/10 04/01/10 04/01/10
Analyze: 04/23/10 06/18/10 06/18/10
Improve: 05/14/10 03/24/11 03/24/11
Control: 06/04/10 04/25/11 Scheduled
Define
Project Operational Definitions
Furnish/wastepaper
Bales of recycled paper “scraps” that are used to make gypsum wallboard
paper, which consist of layers, or “plies”.
Gypsum wallboard
Generic name for Sheetrock (USG Trademark product).
Liner/Filler
Liner refers to the top several plies of paper, i.e. the “face” of the sheet.
Filler refers to plies of the paper that lie underneath the liner plies.
Pulper
Equipment that mixes the wastepaper bales with water to form a stock or
slurry of paper.
Felt
Continuous pad that plies of paper are sprayed onto, provides support for
sheet of paper until it is thick enough to travel through equipment.
4
Define
Project Operational Definitions (cont.)
Filler Cobb/Liner Cobb
Quality test that determines how many grams of water the finished sheet
of paper (filler side or liner side) will absorb in a given amount of time.
Tensile
The strength of the paper when measured by how much force it takes to
pull apart a strip of paper (in the MD or CD direction), another key quality
test.
MD/CD
Machine direction (parallel) or Cross direction (perpendicular), refers to the
orientation of the paper fibers in the sheet.
Basis weight
The weight of the paper in a given amount produced, measured in lbs per
thousand square feet (#/MSF).
5
Define
Project Operational Definitions (cont.)
Furnish blend
Refers to the recipe used in the filler pulper. How many bales of OCC to
how many bales of DLK.
OCC
Old corrugated cartons, wastepaper typically from recycled cardboard
boxes, much of this material comes from landfill sorting facilities.
DLK
Double-lined kraft, wastepaper typically from clippings on new cardboard
boxes, shipped directly from box manufacturers to the plant.
Size
Chemical added to help the paper (when dry) resist the tendency to
absorb liquid.
Silo stacking
Process of stacking the paper rolls in an upright column or “silo”.
6
Define
Project Operational Definitions (cont.)
Bale clamp truck
A forklift with a specially designed attachment to grab and lift rectangular
bales of wastepaper.
Furnish bale tags
Informational labels printed out and applied to each wastepaper bale as it
enters the plant.
WWP
Wastepaper Warehouse Plan, an internal document developed to contain
all major procedures involved in the receipt, unloading, storing, and
retrieval of furnish bales at the plant.
5s
Lean Six Sigma process/tool designed to help properly clean-up and
organize any area to ensure efficient use of the space.
7
Define
Project Operational Definitions (cont.)
Newsline
Grade of gypsum wallboard paper. Is the brown-colored sheet on the
back of the gypsum wallboard, the side that is mounted to the wood/steel
studs in building construction.
C/O
Changeover. Refers to the process of changing from one product to
another on the paper mill production line.
8
Define
Outdoor wastepaper storage area
9
Define
Wastepaper feeding into the pulper
10
Define
Filler pulper
11
Define
Paper stock being applied to the felt
12
Define
Large paper roll before being cut to width
13
Define
Finished roll of paper for gypsum wallboard
14
Define
15
Team Effectiveness
Formal goals, agenda, meeting minutes, action item lists, and time
schedule used for all meetings
Ground Rules set at Team Launch
Team Roles – assign timekeeper, note taker, and “engager” at each
meeting
Team Meeting Frequency – Each Wednesday, 1-3pm
Tools used by Team – SIPOC, Voice of Customer analysis, Risk
analysis, Communications plan, Project plan, RACI chart
Team has agreed to have an open mind and communicate thoroughly
in order to avoid scheduling conflicts
Define
Voice of the Customer (VOC) – Paper Furnish
Optimization
Customer
Voice of the
Customer
Key Customer
Issue(s)
Critical
Customer
Requirement
Who is the Customer? What does the
customer want from us?
What does the customer
want from us? We need to
identify the issue(s) that
prevent us from satisfying our
customers.
We should summarize key issues
and translate them into specific and
measurable requirements
Machine Tender
(Paper Mill Wet End
Operator)
Stock that meets
all applicable
specs
Freeness, consistency,
tensile, stock flow,
good recycled water
quality, minimal
wax/glue/trash
1. Freeness & consistency
within established
operating ranges
2. Tensile strength within
bulletin range for paper
grade
3. Continuous flow of stock
4. Recycled water will pass
visual inspection of
save-all pads
5. Minimize wax/glue/trash
contamination
Wet End (Paper
Machine)
Same as above Same as above Same as above
SIPOC – Paper Furnish Optimization
Risk Analysis – Paper Furnish Optimization
• Cover most important risks (80/20 rule) – Top 3
Risk# Risk Description
Impact
Type
Probability
of
Occurrence
Rating
Impact
Rating
Priority
Rating
Risk Response
Owner1 - None 1 - None
(Probability
x Impact)
Accept
Identify and Describe
Risk Response
Scope 2 - Low 2 - Little Avoid
Cost 3 - Medium 3 - Moderate
Mitigate - Minimize
Probability
Time 4 - High 4 - Heavy Mitigate - Minimize Rating
1*
Increased pulping time (pulper
operators weigh every
bale) C 4 4 16 Avoid
Be wary of this.
Perform careful
trials. Foreman
2*
Bad quality finished paper (using
wet/degraded bales) C 3 4 12
Mitigate – Minimize
Probability
Don’t rush to use all
bad furnish at
once
PM
Foremen
3*
Bad quality finished paper
(changing bale blend % i.e.
increasing OCC, etc.) C 3 4 12
Mitigate – Minimize
Probability
Ensure scavenger &
screening
systems are
functioning
optimally
PM
Foremen
4
Increased furnish price ($/ton) by
using local vendors to lower
stock level C 3 3 9 Accept
Team must prove this
cost would be
offset by a
quantifiable
issue decrease Buyer
5
Screening capacity to handle
“dirtier” furnish C 3 3 9 Mitigate – Minimize Probability
Ensure screening system
are functioning
optimally
PM
Foremen
6 Run out of waste paper furnish C 2 4 8 Avoid
Don’t let stock levels fall
too low Buyer
19
Communication Plan – Paper Furnish 
Optimization Project
Project
Sponsor
•Face to face
meetings
•Gate review
presentations
•Project
progress
updates
•Go/No Go for
project phases
•Updates and
potential
roadblocks
•Phase review
and validation
•Black Belt
•Project Team
•Weekly
•End of each
phase per
project plan
•Scheduled
•Define gate
review
scheduled
Process
Owner
•Copy of team
meeting
minutes
•Gate review
presentations
•Monitor
project
progress
•Major project
updates
•Overall team
progress
•Phase review
and validation
•Black Belt
•Project Team
•Weekly
•End of each
phase per
project plan
•N/A
•Define gate
review
scheduled
Plant
Employees
•Newsletter
articles
•High level
summary to
keep all
employees
informed
•General “high-
level” items to
communicate
project status
•Project Team
(will rotate)
•One article
generated per
project Phase
Paper Mill
production
and supply
chain
employees
•Shift safety
huddles
•PM
lunchroom
monitor
•Stimulate
employee buy-
in and interest
•Project goals,
benefits
•Effects of
furnish on
paper machine
•Project Team
(will rotate)
•PM General
Foreman
•Twice/monthly
•Twice/monthly
Audience Media Purpose
Topics of
Discussion/
Key Messages
Owner Frequency Notes/Status
Measure
20
Measure Improve
Lean Six Sigma
DMAIC Improvement Process Road Map
• Value Stream Map
• Operational Definitions
• Data Collection Plan
• Statistical Sampling
• Measurement System Analysis (MSA), Gage R&R
• Control Charts
• Process Capability, Cp & Cpk
• Identify Key Input, Process and Output Metrics
• Develop Operational Definitions
• Develop Data Collection Plan
• Validate Measurement System
• Collect Baseline Data
• Determine Process Performance/Capability
• Validate Business Opportunity
• Value Stream Map for deeper understanding & focus
• Quick Wins (Control Plans)
• Measure Gate Review
ToolsActivities
ControlDefine Analyze
Kaizen, 5S, NVA Analysis,
Generic Pull Systems,
Four Step Rapid Setup Method
Identify and Implement Quick Improvements with Kaizen
Measure
Measure
21
Value Stream Map
Measure
22
Data Collection Plan – Page 1 of 3
Performance
Measure
Operational
Definition
Data Source and
Location
How Will Data Be
Collected
Who Will Collect
Data
When Will Data Be
Collected
Sample Size Stratification
Factors
How will data be
used?
Stock supply
operator (bales
being used)
Stock supply –
as bales are fed
PM S/C
unloading
operator (bale
age)
PM S/C – daily,
next morning after
(3) shifts worth of
production
Stock supply
operator (bales
being used)
Stock supply –
as bales are fed
PM S/C
unloading
operator (bale
wgt)
PM S/C – daily,
next morning after
(3) shifts worth of
production
Freeness
Units unknown
(plant personnel
do not use units)
Flowmeter
reading logged
into local PM
InSql Server
Logged when
running by PLC
PLC
PLC logs every
10 sec, will look
at every min for
Minitab evaluation
1/1/10 - 3/22/10 Grade of paper
Used as a
proactive
measure of sheet
strength
Consistency
% of stock to
water (3% = 3%
stock, 97%
water)
Flowmeter
reading logged
into local PM
InSql Server
Logged when
running by PLC
PLC
PLC logs every
10 sec, will look
at every min for
Minitab evaluation
1/1/10 - 3/22/10 Grade of paper
Used to
proactively
measure density
of sheet
Tensile (Parallel)
lbs of force (to
tear sample)
Thwing Albert
machine feeds
into MDIS
system, in PM
Quality Lab
Samples of each
set are prepped
and fed into
Thwing Albert
PM Quality
testers
As each set of
paper is produced
1/1/10 - 3/22/10
Grade of paper,
production shift
Used to quantify
strength of sheet,
minimum reject
limits
Data Collection Plan - Page 1
Grade of paper,
Look at filler
system only
Give idea on age
of bales versus
paper grade and
variability
Weight of bales
being fed into
pulper
Weight (lbs)
Unloading log,
PM S/C
unloading office
Record number
of bales being
used (whse
section & row),
then research
unloading log.
Entire run (~ 8 to
9 days)
Grade of paper,
Look at filler
system only
Give idea on
weight of bales
versus paper
grade and
variability
Age of bales
being fed to
pulper
Time (days)
Unloading log,
PM S/C
unloading office
Record number
of bales being
used (whse
section & row),
then research
unloading log.
Entire run (~ 8 to
9 days)
Measure
Measurement System Analysis – Filler Cobb
23
Measure
Measurement System Analysis – Filler Cobb
24
%Contribution
Source VarComp (of VarComp)
Total Gage R&R 0.005823 4.05
Repeatability 0.005823 4.05
Reproducibility 0.000000 0.00
Part-To-Part 0.137926 95.95
Total Variation 0.143748 100.00
Study Var %Study Var
Source StdDev (SD) (6 * SD) (%SV)
Total Gage R&R 0.076307 0.45784 20.13
Repeatability 0.076307 0.45784 20.13
Reproducibility 0.000000 0.00000 0.00
Part-To-Part 0.371383 2.22830 97.95
Total Variation 0.379142 2.27485 100.00
Number of Distinct Categories = 6
Measure
Measurement System Analysis – Tensile
25
Analyze
26
Improve
Lean Six Sigma: Analyze
Improvement Process Road Map
• Cause & Effect Analysis
• Hypothesis Tests/Conf. Intervals
• Simple & Multiple Regression
• ANOVA
• Identify Potential Root Causes
• Reduce List of Potential Root Causes
• Confirm Root Cause to Output Relationship
• Estimate Impact of Root Causes on Key Outputs
• Prioritize Root Causes
• Complete Analyze Gate
ToolsActivities
ControlMeasureDefine Analyze
Kaizen, 5S, NVA Analysis,
Generic Pull Systems,
Four Step Rapid Setup Method
Identify and Implement Quick Improvements with Kaizen
Analyze
27
Current Process Performance –
Newsline MD (Parallel) Tensile
Observed Special Causes:
Individual values look good, one special cause in the range
chart that could not be tied back to an observable event
Five products made over observation window (~ 2 days)
Analyze
28
Current Process Performance –
Newsline CD (Cross) Tensile
Observed Special Causes:
A minor issue on the individual values, but range chart ok
Five products made over observation window (~ 2 days)
Analyze
29
People
Potential Root-Cause Identification (sample)
Measurement Parts
Machines
Why Are Cycle
Times >18 hours
Language barriers
Software Glitches
Unfamiliar Processes
Customer Delays
Lab Personnel
Lack of Experience
Approval required in some situations
Customer responsible for consumable ordering
Methodology
Operational Procedures
SAP System
Call not closed at time of Repair
Unavailable, system down
Parts Unavailability
Operations
Left open for testing
No access to system
Slow, Times Out
Deployment delay
Vendor
Database
Missing Information
Erroneous Information
Parts Order Processing
Part procurement process is substandard
Centralized Call Process not being followed
Constant Process
Changes
Lilly Staff Level
Customer unwilling to add another Tech to Contract
No Backfill for PTO
Order fulfillment Delays by the manufacturer
Corporate decision not to stock parts locally
Excessive Part ETA times
Part Numbers not in
Database
Quality of Parts
Multiple DOA Parts
Recycled parts
Wrong part sent / Published part # incorrect
Lab Technician Off-site
Remote area of Plant
Tech too busy with callsLilly
Unknown escalation path
Inconsistent process
application
Training issues
Manufacturers
Long hold times
Inept technical assistance
Analyze
30
Potential Root-Cause Prioritization
20 inputs
evaluated
8 outputs
evaluated
from initial
Voice of
Customer
Analysis
Analyze
31
Pareto Chart (from C&E Matrix)
Key
Findings:
No
significant
“front
runners”
Numerical
top 20%
was 4,
moved
forward
with top 8
(60%)
Analyze
32
Root Cause Validation
Basis weight is related to tensile (MD = 33.5%, CD = 40.2%)
Analyze
33
Root Cause Validation
95% confident that 32.1% of the variation in Liner Cobb is due to filler furnish blend
Analyze
34
Summary of Critical x’s
Critical X1 = Basis weight (to tensile)
Tool used = single regression
P-Value = 0.000
Critical X2 = furnish blend (to Liner Cobb)
Tool used = single regression
P-Value = 0.000
Critical X3 = bale storage rotation plan
Tool used = fishbone diagram, C&E matrix
Will pilot changes while watching BW & tensile variation
Analyze
35
Other LSS Tools Used
Normality testing
Distribution identification of data set (more accurately
depict process capability of some key outputs)
Sample Size Calculation (Using sample std dev. and power)
Correlation tools (single & multiple regression models)
Team Effectiveness Tools (Brainstorming)
Improve
36
Lean Six Sigma: Improve
Improvement Process Road Map
• Design of Experiments (DOE)
• Solution Selection Matrix
• Piloting and Simulation
• Develop Potential Solutions
• Evaluate, Select, and Optimize Best Solutions
• Develop and Implement Pilot Solution
• Confirm Attainment of Project Goals
• Complete Improve Gate
ToolsActivities
ControlMeasureDefine Analyze
Kaizen, 5S, NVA Analysis,
Generic Pull Systems,
Four Step Rapid Setup Method
Identify and Implement Quick Improvements with Kaizen
Improve
Improve
37
Brainstorming, Solution Selection Matrix (Tribal Knowledge)
Used fishbone & CE matrix to develop list of significant inputs
Warehouse organization & bale feed procedure consistency
Critical “foundation” organizational work done. Set a solid
foundation for the team to build any repeatable and consistent
practices on top of. Many benefits realized in the form of job
efficiency, employee morale, consistency in procedures from
shift-to-shift, etc.
Team felt getting organized (alone) would help improve MD
tensile variation…….. it did NOT (see next slides)
Most other inputs did not show significant correlation to MD or
CD tensile results
Potential Solution Identification
Improve
38
Significant Inputs Matrix ( Data driven)
Used a weighted matrix to help filter out process “noise” and find the most
repeatable and significant inputs
Seven newsline runs, two methods used to analyze, CD/MD, +/- signs
Potential Solution Identification - Continued
(As TF_CD or TF_MD increases, +1 means variable increased, ‐1 means variable decreased)
Product Run Date(s) R‐Sq(adj) # Variables # Data Pts FP Lw FP %fines OCC% HPDT MC %fines MC Lw Outside % OCC In% Kraft In% Kraft Out%
TF_CD News 8/30 ‐ 9/1 71.5 2 11 1 1
TF_CD News 9/10 ‐ 9/11 24.9 1 30 ‐1
TF_CD News 9/16 ‐ 9/17 80.0 2 GLM ‐1 0.5
TF_CD News 9/16 ‐ 9/17 26.4 1 59 ‐1
TF_CD News 10/14 ‐ 10/15 18.1 1 GLM ‐1
TF_CD News 10/14 ‐ 10/15 42.9 1 7 ‐1
TF_CD News 10/14 ‐ 10/15 22.7 1 47 1
TF_CD News 10/21 ‐ 10/22 51.9 1 6 1
TF_CD News 10/21 ‐ 10/22 23.4 1 35 1
TF_CD News 10/26 ‐ 10/28 26.1 3 GLM ‐1 1 0.5
TF_CD News 10/26 ‐ 10/28 29.7 2 95 ‐1 1
TF_CD News
TF_CD News
TF_MD News 8/30 ‐ 9/1 38.8 1 11 1
TF_MD News 9/10 ‐ 9/11 17.6 1 30 1
TF_MD News 9/16 ‐ 9/17 99.9 4 GLM 0.5 ‐1 1 ‐1
TF_MD News 9/16 ‐ 9/17 21.5 1 52 ‐1
TF_MD News 10/7 ‐ 10/8 15.3 1 48 ‐1
TF_MD News 10/14 ‐ 10/15 21.7 1 GLM ‐1
TF_MD News 10/14 ‐ 10/15 60.2 2 7 ‐1 1
TF_MD News 10/14 ‐ 10/15 20.3 1 47 1
TF_MD News 10/21 ‐ 10/22 92.0 3 6 1 1 1
TF_MD News 10/21 ‐ 10/22 24.0 1 35 1
TF_MD News 10/26 ‐ 10/28 29.0 2 GLM ‐1 ‐1
TF_MD News 10/26 ‐ 10/28 18.4 1 16 1
TF_MD News 10/26 ‐ 10/28 24.8 3 95 ‐1 1 1
TF_MD News
# of times this variable used
71.5 71.5 0 0 0 0 0 0 0 0 0
0 0 ‐24.9 0 0 0 0 0 0 0 0
0 0 ‐80 0 40 0 0 0 0 0 0
0 0 ‐26.4 0 0 0 0 0 0 0 0
0 0 ‐18.1 0 0 0 0 0 0 0 0
0 ‐42.9 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 22.7 0 0
0 51.9 0 0 0 0 0 0 0 0 0
0 0 0 23.4 0 0 0 0 0 0 0
0 0 ‐26.1 0 0 26.1 0 0 13.05 0 0
0 0 0 0 0 0 0 ‐29.7 0 29.7 0
0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
0 38.8 0 0 0 0 0 0 0 0 0
0 0 0 17.6 0 0 0 0 0 0 0
0 49.95 ‐99.9 0 0 99.9 ‐99.9 0 0 0 0
0 0 0 0 0 0 ‐21.5 0 0 0 0
0 0 0 0 0 0 0 ‐15.3 0 0 0
0 0 ‐21.7 0 0 0 0 0 0 0 0
0 ‐60.2 0 60.2 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 20.3 0 0
0 92 0 0 92 92 0 0 0 0 0
0 0 0 24 0 0 0 0 0 0 0
0 0 ‐29 0 0 0 0 ‐29 0 0 0
18.4 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 ‐24.8 24.8 24.8 0
0 0 0 0 0 0 0 0 0 0 0
Totals 89.9 201.05 ‐326.1 125.2 132 218 ‐121.4 ‐98.8 80.85 54.5 0
Abs value 89.9 201.05 326.1 125.2 132 218 121.4 98.8 80.85 54.5 0
Multiply Occurance by R‐Sq(adj) and total by variable
Improve
39
Solution Selection (from matrix on prior slide)
Factors taken to DOE
“Non-controllable” inputs
Improve
40
Pilot Plan
DOE
Part I
• First part of a two-part DOE newsline trial.
• Part I used “clean” OCC furnish from Interplast.
• Hold critical non-DOE
factors stable
• Complete required set
point combinations
• All members • Completed
1/26/11
DOE
Part II
• Second part of a two-part DOE newsline trial.
• Part II used “dirty” OCC furnish from Vista Fiber.
• Hold critical non-DOE
factors stable
• Complete required set
point combinations
• All members • Completed
2/24/11
DOE
Combining
• Had to first use statistical (mean/median) testing to
ensure the (21) critical variables remained “the same”
during both trials so results could be combined together
into one DOE.
• All critical variables were
the “same”, considering
the practical aspect of the
operation
• Black Belt • Completed
3/4/11
DOE
Analysis
• Complete DOE Analysis for MD and CD Tensile. • Statistically solid results
after analysis is complete
• Black Belt • Completed
3/8/11
ScheduleTeamSuccess CriteriaDescription
Pilot
Test
Improve
41
Verify Pilot Results
There is a difference!
176.4
161.0
15.4 points lower
Improve
42
Verify Pilot Results - Continued
Improve
43
Verify Pilot Results - Continued
There is a difference!
7.2 gpm
8.4 gpm
1.2 gpm higher
Improve
44
Quick Wins (6)
Forklift backhaul procedure
Lower occurrence of empty backhauls
Paper bale use from warehouse
Ensure consistent shift-to-shift use strategy
Section A “silo” stacking
Received approval from FM Global, 48 roll capacity vs. 36
Paint striper
Good quality tool that allowed us to efficiently paint indoor/outdoor
storage lines for wastepaper bales
Bale clamp trucks overheating
Developed OBC (operator basic care routine)
Furnish bale tags
Still in process but will yield powerful information
Improve
45
Current Status Summary
Key actions completed
5 of 6 identified Quick Wins completed
Implemented key sections of WWP
Began tracking filler pulper furnish blend
Installed furnish blend board at pulper
Designated indoor storage for consistent use of outside furnish
Built two “significant inputs” matrices after thorough analyzing of
multiple production runs
Began labeling all incoming DLK & OCC bales
Completed DOE
Improve
46
Current Status Summary - Continued
Lean Six Sigma Tools used
5s in raw paper warehouse (storage for furnish bales)
Solution selection matrix
DOE (Design of Experiments)
Lessons learned
Some “Quick Wins” may not be so quick, but still important!
Scope on this project is very large
Some results are not crystal clear, must sift through process
“noise”
Trials are difficult in low business environments (delayed project ~
three months)
Control
47
Lean Six Sigma: Improve
Improvement Process Road Map
• Mistake-Proofing/Zero Defects
• Standard Operating Procedures
(SOP’s)
• Process Control Plans
• Visual Process Control Tools
• Solution Replication
• Project Transition
• Implement Mistake Proofing
• Develop SOP’s, Training Plan and Process
Controls
• Implement Solution and Ongoing Process
Measurements
• Identify Project Replication Opportunities
• Complete Control Gate
• Transition Project to Process Owner
ToolsActivities
MeasureDefine Analyze
Kaizen, 5S, NVA Analysis,
Generic Pull Systems,
Four Step Rapid Setup Method
Identify and Implement Quick Improvements with Kaizen
Improve Control
Control
48
Current Process Performance
Control
49
Full-Scale Solution Implementation Plan
Control
50
The following SOP’s and/or Documents have been updated,
tested, and implemented:
Throughout the project, (15) documents were
created/revised. These were various standard operating
procedures, visual work instructions, equipment operating
manuals, etc.
Standard Operating Procedures (SOP’s)
and Documentation
Control
51
Training Plan
A training plan was created for each item covered in the SOP and
documentation section slides shown previously.
A list of training observations and “training lessons learned” was
also created.
Control
52
Control Plan
Control
53
Replication Opportunities
A list of replication opportunities was developed. This mainly focused
around other USG facilities that could benefit from the findings in this
project.
Control
54
Process RACI Chart
Capture/SustainProjectResults
ReviewOCCblendeachrun
ReviewOCCformulaeachrun
Usescannertorecordbalesused
ContinueFIFOWPinventory
rotationUsec/otimeboard,record
exceptionsReviewc/otimeperformance
MonthlyOCC%
blenddecision
FollowWWPprocedures
AuditcontrolplanProvideassistancewithnew
issues
Evaluatenewfurnishsuppliers
Calculate/reportmonthlyproject
savings
Process Owner R A A R R R A A R C C I
Process Operators R A A A A I
Project Sponsor A I I I
Black Belt C C C C A/R A/R C A/R
Paper Buyer A/R I
Control
55
Project Risk Management
Three main risk areas were brainstormed and risks identified for each
major category listed below.
Business Risk Management: Potential risks resulting from the
planned solution and implementation plan on the business and its
customers
Organizational Acceptance Risk Management: Risks related to
lack of cultural buy-in for the proposed solution and implementation
Sustainment Risk Management: Risks related to sustaining the
project gains over the long-term
Control
Barriers & Issues
56
Control
57
Lessons Learned
Based on learnings from this project:
What would you have done differently?
Better use of technical resources (bale labeling/scanning)
Possibly divided this project into pieces (very large scope)
What worked really well?
Team selection/balance worked very well
Engaged employees through early buy-in of objectives
Use of visual controls (furnish board, signposts, c/o time board)
What will you do differently in future projects?
If data results are variable, look to use weighted selection matrix
sooner in project
Control
58
Lessons Learned (cont.)
Based on learnings from this project:
What are some additional recommendations related to
lessons learned?
Schedule
Tough to meet initial schedule with large project scope
Trial scheduling was difficult (low news volume, production
schedules)
Business Impact
With decent pricing spreads between the various furnish grades
there is money to be saved!
Teamwork
Took the talents of the entire team to keep project moving
Discovered talents of other personnel in department as well
Control
59
Financial Benefits
Considering furnish substitution
Charter proposed savings of $xx,xxx/yr
Actual 8 month savings = $xx,xxx ($x,xxx/mo, $xx,xxx annualized)
Introducing new procedures (not yet optimized) earlier in project most
likely led to reduced attainment of potential monthly savings
Remaining difference tied up in real blend increases seen
Charter goal proposed increasing type x furnish blend% by 25%
Actual “end of month” increase achieved has only been 5%
Lower newsline volume, short run cycles, and changeover ramp time has made
it difficult to achieve the END OF MONTH blend goal of a 25% increase
Actual blend % when running newsline products is a 50% increase!!
Mar11 savings = ~$x,xxx (17% type x furnish increase), C/O times
being reduced
Control
60
MGPP
Multi-Generation Project Plan (MGPP)
Generation 1
2010/2011
Generation 2
2011
Generation 3
2012/2013
Vision Use current LSS team to
improve furnish handling
process.
Optimize wet end chemistry in
order to reduce shrinkage,
improve drainage, and lower
size usage.
Install (2) xxx formers to
better control basis weight
variation.
Process
Generation
First major step to be
completed. Will focus on
operating procedures with
minimal capital investments.
Second step after successful
completion of furnish
optimization project. Will
include vendor on team and
require minimal capital
investments.
Third major step, will require
approximately $1,000,000 in
capital investments.
Platforms /
Technology
Use current MDIS system and
PLC data. Also uses manual
documentation sheets.
Use current MDIS system and
PLC data. Also uses manual
documentation sheets. Vendor
will likely need to supply data or
additional instrumentation for
critical variable monitoring.
Will use PLC and other
similar technology. This
forming technology is much
better at producing a
consistent and uniform
sheet.

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Overall Project Review - Paper Furnish Optimization3

  • 1. Lean Six Sigma Paper Furnish Optimization Black Belt Project United States Gypsum Co. Project Launched: 1/27/10
  • 2. Define 2 • Value Stream Map for Deeper Understanding and Focus • Identify Key Input, Process and Output Metrics • Develop Operational Definitions • Develop Data Collection Plan • Validate Measurement System • Collect Baseline Data • Determine Process Capability • Complete Measure Gate Improve Lean Six Sigma DMAIC Improvement Process Road Map • Project Charter • Voice of the Customer • SIPOC Map • RACI Chart • Communication Plan • Effective Meeting Tools • Inquiry and Advocacy Skills • Time Lines, Milestones, and Gantt Charting • Review Project Charter • Validate High-Level Value Stream Map and Scope • Validate Voice of the Customer and Voice of the Business • Validate Problem Statement and Goals • Validate Financial Benefits • Create Communication Plan • Select and Launch Team • Develop Project Schedule • Complete Define Gate ToolsActivities ControlMeasureDefine Analyze Kaizen, 5S, NVA Analysis, Generic Pull Systems, Four Step Rapid Setup Method Identify and Implement Quick Improvements with Kaizen
  • 3. Define 3 Project Charter Problem: Optimization of furnish storage, blending, and processing has not been realized. Uncontrolled furnish blends lead to added costs for: using more expensive furnish when not necessary Goal: Optimize furnish handling and processing to achieve a paper cost reduction of $xx,xxx (using expected furnish pries from Jul10-Dec10) Furnish substitution in filler system Problem/Goal Statement Gate Review Schedule Financial Impact Team Reduce paper cost $xx,xxxc versus 2010 Furnish pricing using Jul10-Dec10 Total potential savings of $xx,xxx All $ at this point are Type I hard savings Will address weight reduction opportunities in Project 2. Core Team members (% of contribution) – 95% Supporting members – 5% Project sponsor – Plant manager LSS Deployment Champion – Corporate Black Belt Master Black Belt coach Tollgate Scheduled Revised Complete Define: 02/26/10 - 02/26/10 Measure: 03/26/10 04/01/10 04/01/10 Analyze: 04/23/10 06/18/10 06/18/10 Improve: 05/14/10 03/24/11 03/24/11 Control: 06/04/10 04/25/11 Scheduled
  • 4. Define Project Operational Definitions Furnish/wastepaper Bales of recycled paper “scraps” that are used to make gypsum wallboard paper, which consist of layers, or “plies”. Gypsum wallboard Generic name for Sheetrock (USG Trademark product). Liner/Filler Liner refers to the top several plies of paper, i.e. the “face” of the sheet. Filler refers to plies of the paper that lie underneath the liner plies. Pulper Equipment that mixes the wastepaper bales with water to form a stock or slurry of paper. Felt Continuous pad that plies of paper are sprayed onto, provides support for sheet of paper until it is thick enough to travel through equipment. 4
  • 5. Define Project Operational Definitions (cont.) Filler Cobb/Liner Cobb Quality test that determines how many grams of water the finished sheet of paper (filler side or liner side) will absorb in a given amount of time. Tensile The strength of the paper when measured by how much force it takes to pull apart a strip of paper (in the MD or CD direction), another key quality test. MD/CD Machine direction (parallel) or Cross direction (perpendicular), refers to the orientation of the paper fibers in the sheet. Basis weight The weight of the paper in a given amount produced, measured in lbs per thousand square feet (#/MSF). 5
  • 6. Define Project Operational Definitions (cont.) Furnish blend Refers to the recipe used in the filler pulper. How many bales of OCC to how many bales of DLK. OCC Old corrugated cartons, wastepaper typically from recycled cardboard boxes, much of this material comes from landfill sorting facilities. DLK Double-lined kraft, wastepaper typically from clippings on new cardboard boxes, shipped directly from box manufacturers to the plant. Size Chemical added to help the paper (when dry) resist the tendency to absorb liquid. Silo stacking Process of stacking the paper rolls in an upright column or “silo”. 6
  • 7. Define Project Operational Definitions (cont.) Bale clamp truck A forklift with a specially designed attachment to grab and lift rectangular bales of wastepaper. Furnish bale tags Informational labels printed out and applied to each wastepaper bale as it enters the plant. WWP Wastepaper Warehouse Plan, an internal document developed to contain all major procedures involved in the receipt, unloading, storing, and retrieval of furnish bales at the plant. 5s Lean Six Sigma process/tool designed to help properly clean-up and organize any area to ensure efficient use of the space. 7
  • 8. Define Project Operational Definitions (cont.) Newsline Grade of gypsum wallboard paper. Is the brown-colored sheet on the back of the gypsum wallboard, the side that is mounted to the wood/steel studs in building construction. C/O Changeover. Refers to the process of changing from one product to another on the paper mill production line. 8
  • 12. Define Paper stock being applied to the felt 12
  • 13. Define Large paper roll before being cut to width 13
  • 14. Define Finished roll of paper for gypsum wallboard 14
  • 15. Define 15 Team Effectiveness Formal goals, agenda, meeting minutes, action item lists, and time schedule used for all meetings Ground Rules set at Team Launch Team Roles – assign timekeeper, note taker, and “engager” at each meeting Team Meeting Frequency – Each Wednesday, 1-3pm Tools used by Team – SIPOC, Voice of Customer analysis, Risk analysis, Communications plan, Project plan, RACI chart Team has agreed to have an open mind and communicate thoroughly in order to avoid scheduling conflicts
  • 16. Define Voice of the Customer (VOC) – Paper Furnish Optimization Customer Voice of the Customer Key Customer Issue(s) Critical Customer Requirement Who is the Customer? What does the customer want from us? What does the customer want from us? We need to identify the issue(s) that prevent us from satisfying our customers. We should summarize key issues and translate them into specific and measurable requirements Machine Tender (Paper Mill Wet End Operator) Stock that meets all applicable specs Freeness, consistency, tensile, stock flow, good recycled water quality, minimal wax/glue/trash 1. Freeness & consistency within established operating ranges 2. Tensile strength within bulletin range for paper grade 3. Continuous flow of stock 4. Recycled water will pass visual inspection of save-all pads 5. Minimize wax/glue/trash contamination Wet End (Paper Machine) Same as above Same as above Same as above
  • 18. Risk Analysis – Paper Furnish Optimization • Cover most important risks (80/20 rule) – Top 3 Risk# Risk Description Impact Type Probability of Occurrence Rating Impact Rating Priority Rating Risk Response Owner1 - None 1 - None (Probability x Impact) Accept Identify and Describe Risk Response Scope 2 - Low 2 - Little Avoid Cost 3 - Medium 3 - Moderate Mitigate - Minimize Probability Time 4 - High 4 - Heavy Mitigate - Minimize Rating 1* Increased pulping time (pulper operators weigh every bale) C 4 4 16 Avoid Be wary of this. Perform careful trials. Foreman 2* Bad quality finished paper (using wet/degraded bales) C 3 4 12 Mitigate – Minimize Probability Don’t rush to use all bad furnish at once PM Foremen 3* Bad quality finished paper (changing bale blend % i.e. increasing OCC, etc.) C 3 4 12 Mitigate – Minimize Probability Ensure scavenger & screening systems are functioning optimally PM Foremen 4 Increased furnish price ($/ton) by using local vendors to lower stock level C 3 3 9 Accept Team must prove this cost would be offset by a quantifiable issue decrease Buyer 5 Screening capacity to handle “dirtier” furnish C 3 3 9 Mitigate – Minimize Probability Ensure screening system are functioning optimally PM Foremen 6 Run out of waste paper furnish C 2 4 8 Avoid Don’t let stock levels fall too low Buyer
  • 19. 19 Communication Plan – Paper Furnish  Optimization Project Project Sponsor •Face to face meetings •Gate review presentations •Project progress updates •Go/No Go for project phases •Updates and potential roadblocks •Phase review and validation •Black Belt •Project Team •Weekly •End of each phase per project plan •Scheduled •Define gate review scheduled Process Owner •Copy of team meeting minutes •Gate review presentations •Monitor project progress •Major project updates •Overall team progress •Phase review and validation •Black Belt •Project Team •Weekly •End of each phase per project plan •N/A •Define gate review scheduled Plant Employees •Newsletter articles •High level summary to keep all employees informed •General “high- level” items to communicate project status •Project Team (will rotate) •One article generated per project Phase Paper Mill production and supply chain employees •Shift safety huddles •PM lunchroom monitor •Stimulate employee buy- in and interest •Project goals, benefits •Effects of furnish on paper machine •Project Team (will rotate) •PM General Foreman •Twice/monthly •Twice/monthly Audience Media Purpose Topics of Discussion/ Key Messages Owner Frequency Notes/Status
  • 20. Measure 20 Measure Improve Lean Six Sigma DMAIC Improvement Process Road Map • Value Stream Map • Operational Definitions • Data Collection Plan • Statistical Sampling • Measurement System Analysis (MSA), Gage R&R • Control Charts • Process Capability, Cp & Cpk • Identify Key Input, Process and Output Metrics • Develop Operational Definitions • Develop Data Collection Plan • Validate Measurement System • Collect Baseline Data • Determine Process Performance/Capability • Validate Business Opportunity • Value Stream Map for deeper understanding & focus • Quick Wins (Control Plans) • Measure Gate Review ToolsActivities ControlDefine Analyze Kaizen, 5S, NVA Analysis, Generic Pull Systems, Four Step Rapid Setup Method Identify and Implement Quick Improvements with Kaizen Measure
  • 22. Measure 22 Data Collection Plan – Page 1 of 3 Performance Measure Operational Definition Data Source and Location How Will Data Be Collected Who Will Collect Data When Will Data Be Collected Sample Size Stratification Factors How will data be used? Stock supply operator (bales being used) Stock supply – as bales are fed PM S/C unloading operator (bale age) PM S/C – daily, next morning after (3) shifts worth of production Stock supply operator (bales being used) Stock supply – as bales are fed PM S/C unloading operator (bale wgt) PM S/C – daily, next morning after (3) shifts worth of production Freeness Units unknown (plant personnel do not use units) Flowmeter reading logged into local PM InSql Server Logged when running by PLC PLC PLC logs every 10 sec, will look at every min for Minitab evaluation 1/1/10 - 3/22/10 Grade of paper Used as a proactive measure of sheet strength Consistency % of stock to water (3% = 3% stock, 97% water) Flowmeter reading logged into local PM InSql Server Logged when running by PLC PLC PLC logs every 10 sec, will look at every min for Minitab evaluation 1/1/10 - 3/22/10 Grade of paper Used to proactively measure density of sheet Tensile (Parallel) lbs of force (to tear sample) Thwing Albert machine feeds into MDIS system, in PM Quality Lab Samples of each set are prepped and fed into Thwing Albert PM Quality testers As each set of paper is produced 1/1/10 - 3/22/10 Grade of paper, production shift Used to quantify strength of sheet, minimum reject limits Data Collection Plan - Page 1 Grade of paper, Look at filler system only Give idea on age of bales versus paper grade and variability Weight of bales being fed into pulper Weight (lbs) Unloading log, PM S/C unloading office Record number of bales being used (whse section & row), then research unloading log. Entire run (~ 8 to 9 days) Grade of paper, Look at filler system only Give idea on weight of bales versus paper grade and variability Age of bales being fed to pulper Time (days) Unloading log, PM S/C unloading office Record number of bales being used (whse section & row), then research unloading log. Entire run (~ 8 to 9 days)
  • 24. Measure Measurement System Analysis – Filler Cobb 24 %Contribution Source VarComp (of VarComp) Total Gage R&R 0.005823 4.05 Repeatability 0.005823 4.05 Reproducibility 0.000000 0.00 Part-To-Part 0.137926 95.95 Total Variation 0.143748 100.00 Study Var %Study Var Source StdDev (SD) (6 * SD) (%SV) Total Gage R&R 0.076307 0.45784 20.13 Repeatability 0.076307 0.45784 20.13 Reproducibility 0.000000 0.00000 0.00 Part-To-Part 0.371383 2.22830 97.95 Total Variation 0.379142 2.27485 100.00 Number of Distinct Categories = 6
  • 26. Analyze 26 Improve Lean Six Sigma: Analyze Improvement Process Road Map • Cause & Effect Analysis • Hypothesis Tests/Conf. Intervals • Simple & Multiple Regression • ANOVA • Identify Potential Root Causes • Reduce List of Potential Root Causes • Confirm Root Cause to Output Relationship • Estimate Impact of Root Causes on Key Outputs • Prioritize Root Causes • Complete Analyze Gate ToolsActivities ControlMeasureDefine Analyze Kaizen, 5S, NVA Analysis, Generic Pull Systems, Four Step Rapid Setup Method Identify and Implement Quick Improvements with Kaizen
  • 27. Analyze 27 Current Process Performance – Newsline MD (Parallel) Tensile Observed Special Causes: Individual values look good, one special cause in the range chart that could not be tied back to an observable event Five products made over observation window (~ 2 days)
  • 28. Analyze 28 Current Process Performance – Newsline CD (Cross) Tensile Observed Special Causes: A minor issue on the individual values, but range chart ok Five products made over observation window (~ 2 days)
  • 29. Analyze 29 People Potential Root-Cause Identification (sample) Measurement Parts Machines Why Are Cycle Times >18 hours Language barriers Software Glitches Unfamiliar Processes Customer Delays Lab Personnel Lack of Experience Approval required in some situations Customer responsible for consumable ordering Methodology Operational Procedures SAP System Call not closed at time of Repair Unavailable, system down Parts Unavailability Operations Left open for testing No access to system Slow, Times Out Deployment delay Vendor Database Missing Information Erroneous Information Parts Order Processing Part procurement process is substandard Centralized Call Process not being followed Constant Process Changes Lilly Staff Level Customer unwilling to add another Tech to Contract No Backfill for PTO Order fulfillment Delays by the manufacturer Corporate decision not to stock parts locally Excessive Part ETA times Part Numbers not in Database Quality of Parts Multiple DOA Parts Recycled parts Wrong part sent / Published part # incorrect Lab Technician Off-site Remote area of Plant Tech too busy with callsLilly Unknown escalation path Inconsistent process application Training issues Manufacturers Long hold times Inept technical assistance
  • 30. Analyze 30 Potential Root-Cause Prioritization 20 inputs evaluated 8 outputs evaluated from initial Voice of Customer Analysis
  • 31. Analyze 31 Pareto Chart (from C&E Matrix) Key Findings: No significant “front runners” Numerical top 20% was 4, moved forward with top 8 (60%)
  • 32. Analyze 32 Root Cause Validation Basis weight is related to tensile (MD = 33.5%, CD = 40.2%)
  • 33. Analyze 33 Root Cause Validation 95% confident that 32.1% of the variation in Liner Cobb is due to filler furnish blend
  • 34. Analyze 34 Summary of Critical x’s Critical X1 = Basis weight (to tensile) Tool used = single regression P-Value = 0.000 Critical X2 = furnish blend (to Liner Cobb) Tool used = single regression P-Value = 0.000 Critical X3 = bale storage rotation plan Tool used = fishbone diagram, C&E matrix Will pilot changes while watching BW & tensile variation
  • 35. Analyze 35 Other LSS Tools Used Normality testing Distribution identification of data set (more accurately depict process capability of some key outputs) Sample Size Calculation (Using sample std dev. and power) Correlation tools (single & multiple regression models) Team Effectiveness Tools (Brainstorming)
  • 36. Improve 36 Lean Six Sigma: Improve Improvement Process Road Map • Design of Experiments (DOE) • Solution Selection Matrix • Piloting and Simulation • Develop Potential Solutions • Evaluate, Select, and Optimize Best Solutions • Develop and Implement Pilot Solution • Confirm Attainment of Project Goals • Complete Improve Gate ToolsActivities ControlMeasureDefine Analyze Kaizen, 5S, NVA Analysis, Generic Pull Systems, Four Step Rapid Setup Method Identify and Implement Quick Improvements with Kaizen Improve
  • 37. Improve 37 Brainstorming, Solution Selection Matrix (Tribal Knowledge) Used fishbone & CE matrix to develop list of significant inputs Warehouse organization & bale feed procedure consistency Critical “foundation” organizational work done. Set a solid foundation for the team to build any repeatable and consistent practices on top of. Many benefits realized in the form of job efficiency, employee morale, consistency in procedures from shift-to-shift, etc. Team felt getting organized (alone) would help improve MD tensile variation…….. it did NOT (see next slides) Most other inputs did not show significant correlation to MD or CD tensile results Potential Solution Identification
  • 38. Improve 38 Significant Inputs Matrix ( Data driven) Used a weighted matrix to help filter out process “noise” and find the most repeatable and significant inputs Seven newsline runs, two methods used to analyze, CD/MD, +/- signs Potential Solution Identification - Continued (As TF_CD or TF_MD increases, +1 means variable increased, ‐1 means variable decreased) Product Run Date(s) R‐Sq(adj) # Variables # Data Pts FP Lw FP %fines OCC% HPDT MC %fines MC Lw Outside % OCC In% Kraft In% Kraft Out% TF_CD News 8/30 ‐ 9/1 71.5 2 11 1 1 TF_CD News 9/10 ‐ 9/11 24.9 1 30 ‐1 TF_CD News 9/16 ‐ 9/17 80.0 2 GLM ‐1 0.5 TF_CD News 9/16 ‐ 9/17 26.4 1 59 ‐1 TF_CD News 10/14 ‐ 10/15 18.1 1 GLM ‐1 TF_CD News 10/14 ‐ 10/15 42.9 1 7 ‐1 TF_CD News 10/14 ‐ 10/15 22.7 1 47 1 TF_CD News 10/21 ‐ 10/22 51.9 1 6 1 TF_CD News 10/21 ‐ 10/22 23.4 1 35 1 TF_CD News 10/26 ‐ 10/28 26.1 3 GLM ‐1 1 0.5 TF_CD News 10/26 ‐ 10/28 29.7 2 95 ‐1 1 TF_CD News TF_CD News TF_MD News 8/30 ‐ 9/1 38.8 1 11 1 TF_MD News 9/10 ‐ 9/11 17.6 1 30 1 TF_MD News 9/16 ‐ 9/17 99.9 4 GLM 0.5 ‐1 1 ‐1 TF_MD News 9/16 ‐ 9/17 21.5 1 52 ‐1 TF_MD News 10/7 ‐ 10/8 15.3 1 48 ‐1 TF_MD News 10/14 ‐ 10/15 21.7 1 GLM ‐1 TF_MD News 10/14 ‐ 10/15 60.2 2 7 ‐1 1 TF_MD News 10/14 ‐ 10/15 20.3 1 47 1 TF_MD News 10/21 ‐ 10/22 92.0 3 6 1 1 1 TF_MD News 10/21 ‐ 10/22 24.0 1 35 1 TF_MD News 10/26 ‐ 10/28 29.0 2 GLM ‐1 ‐1 TF_MD News 10/26 ‐ 10/28 18.4 1 16 1 TF_MD News 10/26 ‐ 10/28 24.8 3 95 ‐1 1 1 TF_MD News # of times this variable used 71.5 71.5 0 0 0 0 0 0 0 0 0 0 0 ‐24.9 0 0 0 0 0 0 0 0 0 0 ‐80 0 40 0 0 0 0 0 0 0 0 ‐26.4 0 0 0 0 0 0 0 0 0 0 ‐18.1 0 0 0 0 0 0 0 0 0 ‐42.9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22.7 0 0 0 51.9 0 0 0 0 0 0 0 0 0 0 0 0 23.4 0 0 0 0 0 0 0 0 0 ‐26.1 0 0 26.1 0 0 13.05 0 0 0 0 0 0 0 0 0 ‐29.7 0 29.7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 38.8 0 0 0 0 0 0 0 0 0 0 0 0 17.6 0 0 0 0 0 0 0 0 49.95 ‐99.9 0 0 99.9 ‐99.9 0 0 0 0 0 0 0 0 0 0 ‐21.5 0 0 0 0 0 0 0 0 0 0 0 ‐15.3 0 0 0 0 0 ‐21.7 0 0 0 0 0 0 0 0 0 ‐60.2 0 60.2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20.3 0 0 0 92 0 0 92 92 0 0 0 0 0 0 0 0 24 0 0 0 0 0 0 0 0 0 ‐29 0 0 0 0 ‐29 0 0 0 18.4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ‐24.8 24.8 24.8 0 0 0 0 0 0 0 0 0 0 0 0 Totals 89.9 201.05 ‐326.1 125.2 132 218 ‐121.4 ‐98.8 80.85 54.5 0 Abs value 89.9 201.05 326.1 125.2 132 218 121.4 98.8 80.85 54.5 0 Multiply Occurance by R‐Sq(adj) and total by variable
  • 39. Improve 39 Solution Selection (from matrix on prior slide) Factors taken to DOE “Non-controllable” inputs
  • 40. Improve 40 Pilot Plan DOE Part I • First part of a two-part DOE newsline trial. • Part I used “clean” OCC furnish from Interplast. • Hold critical non-DOE factors stable • Complete required set point combinations • All members • Completed 1/26/11 DOE Part II • Second part of a two-part DOE newsline trial. • Part II used “dirty” OCC furnish from Vista Fiber. • Hold critical non-DOE factors stable • Complete required set point combinations • All members • Completed 2/24/11 DOE Combining • Had to first use statistical (mean/median) testing to ensure the (21) critical variables remained “the same” during both trials so results could be combined together into one DOE. • All critical variables were the “same”, considering the practical aspect of the operation • Black Belt • Completed 3/4/11 DOE Analysis • Complete DOE Analysis for MD and CD Tensile. • Statistically solid results after analysis is complete • Black Belt • Completed 3/8/11 ScheduleTeamSuccess CriteriaDescription Pilot Test
  • 41. Improve 41 Verify Pilot Results There is a difference! 176.4 161.0 15.4 points lower
  • 43. Improve 43 Verify Pilot Results - Continued There is a difference! 7.2 gpm 8.4 gpm 1.2 gpm higher
  • 44. Improve 44 Quick Wins (6) Forklift backhaul procedure Lower occurrence of empty backhauls Paper bale use from warehouse Ensure consistent shift-to-shift use strategy Section A “silo” stacking Received approval from FM Global, 48 roll capacity vs. 36 Paint striper Good quality tool that allowed us to efficiently paint indoor/outdoor storage lines for wastepaper bales Bale clamp trucks overheating Developed OBC (operator basic care routine) Furnish bale tags Still in process but will yield powerful information
  • 45. Improve 45 Current Status Summary Key actions completed 5 of 6 identified Quick Wins completed Implemented key sections of WWP Began tracking filler pulper furnish blend Installed furnish blend board at pulper Designated indoor storage for consistent use of outside furnish Built two “significant inputs” matrices after thorough analyzing of multiple production runs Began labeling all incoming DLK & OCC bales Completed DOE
  • 46. Improve 46 Current Status Summary - Continued Lean Six Sigma Tools used 5s in raw paper warehouse (storage for furnish bales) Solution selection matrix DOE (Design of Experiments) Lessons learned Some “Quick Wins” may not be so quick, but still important! Scope on this project is very large Some results are not crystal clear, must sift through process “noise” Trials are difficult in low business environments (delayed project ~ three months)
  • 47. Control 47 Lean Six Sigma: Improve Improvement Process Road Map • Mistake-Proofing/Zero Defects • Standard Operating Procedures (SOP’s) • Process Control Plans • Visual Process Control Tools • Solution Replication • Project Transition • Implement Mistake Proofing • Develop SOP’s, Training Plan and Process Controls • Implement Solution and Ongoing Process Measurements • Identify Project Replication Opportunities • Complete Control Gate • Transition Project to Process Owner ToolsActivities MeasureDefine Analyze Kaizen, 5S, NVA Analysis, Generic Pull Systems, Four Step Rapid Setup Method Identify and Implement Quick Improvements with Kaizen Improve Control
  • 50. Control 50 The following SOP’s and/or Documents have been updated, tested, and implemented: Throughout the project, (15) documents were created/revised. These were various standard operating procedures, visual work instructions, equipment operating manuals, etc. Standard Operating Procedures (SOP’s) and Documentation
  • 51. Control 51 Training Plan A training plan was created for each item covered in the SOP and documentation section slides shown previously. A list of training observations and “training lessons learned” was also created.
  • 53. Control 53 Replication Opportunities A list of replication opportunities was developed. This mainly focused around other USG facilities that could benefit from the findings in this project.
  • 55. Control 55 Project Risk Management Three main risk areas were brainstormed and risks identified for each major category listed below. Business Risk Management: Potential risks resulting from the planned solution and implementation plan on the business and its customers Organizational Acceptance Risk Management: Risks related to lack of cultural buy-in for the proposed solution and implementation Sustainment Risk Management: Risks related to sustaining the project gains over the long-term
  • 57. Control 57 Lessons Learned Based on learnings from this project: What would you have done differently? Better use of technical resources (bale labeling/scanning) Possibly divided this project into pieces (very large scope) What worked really well? Team selection/balance worked very well Engaged employees through early buy-in of objectives Use of visual controls (furnish board, signposts, c/o time board) What will you do differently in future projects? If data results are variable, look to use weighted selection matrix sooner in project
  • 58. Control 58 Lessons Learned (cont.) Based on learnings from this project: What are some additional recommendations related to lessons learned? Schedule Tough to meet initial schedule with large project scope Trial scheduling was difficult (low news volume, production schedules) Business Impact With decent pricing spreads between the various furnish grades there is money to be saved! Teamwork Took the talents of the entire team to keep project moving Discovered talents of other personnel in department as well
  • 59. Control 59 Financial Benefits Considering furnish substitution Charter proposed savings of $xx,xxx/yr Actual 8 month savings = $xx,xxx ($x,xxx/mo, $xx,xxx annualized) Introducing new procedures (not yet optimized) earlier in project most likely led to reduced attainment of potential monthly savings Remaining difference tied up in real blend increases seen Charter goal proposed increasing type x furnish blend% by 25% Actual “end of month” increase achieved has only been 5% Lower newsline volume, short run cycles, and changeover ramp time has made it difficult to achieve the END OF MONTH blend goal of a 25% increase Actual blend % when running newsline products is a 50% increase!! Mar11 savings = ~$x,xxx (17% type x furnish increase), C/O times being reduced
  • 60. Control 60 MGPP Multi-Generation Project Plan (MGPP) Generation 1 2010/2011 Generation 2 2011 Generation 3 2012/2013 Vision Use current LSS team to improve furnish handling process. Optimize wet end chemistry in order to reduce shrinkage, improve drainage, and lower size usage. Install (2) xxx formers to better control basis weight variation. Process Generation First major step to be completed. Will focus on operating procedures with minimal capital investments. Second step after successful completion of furnish optimization project. Will include vendor on team and require minimal capital investments. Third major step, will require approximately $1,000,000 in capital investments. Platforms / Technology Use current MDIS system and PLC data. Also uses manual documentation sheets. Use current MDIS system and PLC data. Also uses manual documentation sheets. Vendor will likely need to supply data or additional instrumentation for critical variable monitoring. Will use PLC and other similar technology. This forming technology is much better at producing a consistent and uniform sheet.