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D efineM easureA nalyzeI mproveC ontrol
Six Sigma
Six Sigma: DMAIC; Y=f(x)Is it a Goal, a Measure, a Process,
a Tool or an expletive deleted?
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Objectives
Understand the Basics of the Six Sigma Program Understand How Six Sigma Relates to Lean, TOC, TQM
(Theory Of Constraints; Total Quality Management) Ability to Define a Strategy and Roadmap for Success
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Define
Is it a Goal, a Measure, a Process, a Tool or an expletive deleted?
Yes
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Define
Six Sigma Is a management methodology
• Customer focused• Data driven decisions• Breakthrough performance gains• Validated bottom line results
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Customer Focused
Our Performance Compared to Competitors
Impo
rtan
ce t
o Cu
stom
ers
We’re Better They’re Better
High
Moderate-to-’Low’• Price
• Complaints
• OTD• Quality
• Training
• Complete
• Shared Goals
Top 5 Action Items
Driver Action Description Status Status Description Ow nerOriginal Due
DateCurrent
Due DateLate Supplier Deliveries Monthly reporting to suppliers on delivery &
quality metrics.On track
Report Cards Implemented. Adam 5/21 5/21
Late Supplier Deliveries Arrange face to face meetings with top offenders.
On track
Meetings Complete with top 10 Suppliers.
Beth 6/15 6/15
Late Supplier Deliveries Review and approve supplier's corrective action plan.
Caution Corrective Action Plan in Place for 2 major Suppliers
Carlos 7/15 9/15
xyz Cell Always Late Kaizen Event to focus on improving throughput by 40% and improve labor efficiency by 35%
On track
Event held 5/1. 25% throughput improvement in May. Labor Efficiency Increase of 30%
Doreen 5/21 5/21
Unrealistic Promise Date Focus on custom products to provide realistic ATP based on inventory and leadtime of components.
Problem Continued lack of progress. Re-structured and focused team. Developing detailed plan.
Earnest 6/15 8/15
ON TIME DELIVERY (sample)The percentage of sales order line items that ship complete on or before the original customer promise date, for
all line items shipped in the month.
On-Time Delivery
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Target
Pareto of Drivers
0%
25%
50%
75%
100%
Late
Sup
plie
rD
elive
ries
xyz
Cel
lA
lway
sLa
te
Unr
ealis
ticP
rom
ise
Dat
e
Ord
ers
onC
redi
t Hol
d
Low
Yie
ldon
par
t abc
Eng
inee
ring
Cha
nge
Ord
ers
Reason
% Im
pact
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Data Driven Decisions
Why should we test or inspect Y, if we know this relationship?
• Y• Dependent• Output• Effect• Symptom• Monitor• Response
• X1 . . . XN• Independent• Input-Process• Cause• Problem• Control• Factor
To get results, should we focus our behavior on the Y or X ?
f (X)Y=
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
2 308,5373 66,8074 6,2105 2336 3.4
PPM
Breakthrough performance gains
Sigma is a statistical unit of measure which reflects process capability. The sigma scale of measure is perfectly correlated to such characteristics as defects-per-unit, parts-per million defective, and the probability of a failure/error.
(Distribution Shifted ± 1.5)
ProcessCapability
Defects per Million Opportunities
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Validated bottom line results
Price In
crease
Material C
osts
Volume Inc.
with Leve
rage
Manufacturin
gSG&A
Volume Inc.
No Levera
geTaxes
Labor
Working C
apital
General-5% P
rice R
eduction
Impa
ct o
n B
otto
m L
ine
Assuming a 10% change in the factor
Factors
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Define
Methodology Define Measure Analyze Improve Control
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Roadmap Example
Next Project DefineCustomers, Value, Problem StatementScope, Timeline, TeamPrimary/Secondary & OpEx MetricsCurrent Value Stream MapVoice Of Customer (QFD) Measure
Assess specification / DemandMeasurement Capability (Gage R&R)Correct the measurement systemProcess map, Spaghetti, Time obs.Measure OVs & IVs / Queues
Analyze (and fix the obvious)Root Cause (Pareto, C&E, brainstorm)Find all KPOVs & KPIVsFMEA, DOE, critical Xs, VA/NVAGraphical Analysis, ANOVAFuture Value Stream Map
ImproveOptimize KPOVs & test the KPIVsRedesign process, set pacemaker5S, Cell design, MRSVisual controlsValue Stream Plan
ControlDocument process (WIs, Std Work)Mistake proof, TT sheet, CI ListAnalyze change in metricsValue Stream ReviewPrepare final report
Validate Project $
Validate Project $
Validate Project $
Validate Project $
Celebrate Project $
D efineM easureA nalyzeI mproveC ontrol
• Develop a focused Problem Statement and Objective• Develop a Process Map and/or FMEA• Develop a Current State Map• Identify the response variable(s) and how to measure them• Analyze measurement system capability• Assess the specification (Is one in place? Is it the right one?)
Practical Problem
ProblemDefinition
• Characterize the response, look at the raw data• Abnormal? Other Clues? Mean or Variance problem?
• Time Observation • Spaghetti Diagram • Takt Time• Future State Maps • Percent Loading • Standard Work Combination• Use Graphical Analysis, Multi-Vari, ANOVA and basic
statistical tools to identify the likely families of variability
ProblemSolution
• Identify the likely X’s• 5S • Set Up Time Reduction (SMED)• Material Replenishment Systems• Level Loading / Line Leveling• Cell Design • Visual Controls• Use Design of Experiments to find the critical few X’s• Move the distribution; Shrink the spread; Confirm the results
Problem Control
• Mistake Proof the process (Poka-Yoke)
• Tolerance the process• Measure the final capability• Place appropriate process controls on
the critical X’s• Document the effort and results• Standard Work • TPM
IdentifyProblem
• Strategic Link to Business Plan defined in Project Selection Process• Defined Business Impact with Op Ex Champion support• Structured Brainstorming at all organizational levels• Cause and Effect Diagrams identifying critical factors• Primary and Secondary Metrics defined and charted• Multi-Level Pareto Charts to confirm project focus
What do you want to know? How do you want to see what it is that you need
to know? What type of tool will generate what it is that you
need to see? What type of data is required of the selected tool? Where can you get the required type of data?
Problem Solving
Plan Execute
Execute PlanCrane Co. Op. Ex. Methodology Originated by MBBs; D. Braasch, J. Davis, R. Duggins, J. O’Callaghan, R. Underwood, I. Wilson
Ope
rati
onal
Exc
elle
nce
Met
hodo
logy
Based in part on Six Sigma Methodology developed by GE Medical Systems and Six Sigma Academy, Inc.
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
DefineKey Items
Customers, Value, Problem Statement Scope, Timeline, Team Primary/Secondary & OpEx Metrics Current Value Stream Map Voice Of Customer (QFD)
(Quality Function Deployment)
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Project SelectionImpact
Business Impact• Revenue Growth• Cost Reduction• Capital Reduction• Key Business Objectives• On Time Delivery• Lead Time• Quality• Customer Satisfaction
Impact on Operational Excellence Metrics
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Evaluate and Rank SuggestionsEffort and Risk
Effort required• People Resources• Capital Resources• Duration of Project
Probability of success• Technical Risk
• Data available• Knowledge of process
• Management Risk• Aligned with objectives• Support by value stream manager
Impact vs. Risk vs. Effort• Assess ROI (Return On Investment)• Assign priorities to projects
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Evaluate and Rank Suggestions
Example tool to rank projects0106-01 Project Rating.xls
#
Mfg (M)or
Admin (A) Project Description
Rev
enue
Gro
wth
Cos
t Red
uctio
n
Cap
ital R
educ
tion
Key
Bus
ines
s O
bjec
tive
On
Tim
e D
eliv
ery
Lead
Tim
e
Qua
lity
Cus
tom
er
Satis
fact
ion
Tota
l Im
pact
Peop
le R
esou
rces
Cap
ital R
esou
rces
Dur
atio
n of
Pro
ject
Tota
l Effo
rt
Tech
nica
l Ris
k
Man
agem
ent R
isk
Tota
l Ris
k
Variable weightings 20% 15% 10% 15% 20% 5% 5% 10% 100% 50% 20% 30% 100% 40% 60% 100%1 A Customer Billing Errors 0 2 0 4 4 2 2 5 2.4 2 1 3 2.1 1 4 2.8
2 M Warrantyscrap warranty vs sales 0 2 0 1 1 0 3 3 1.1 4 4 5 4.3 4 2 2.8
3 A Vendor Delivery Performance 0 2 2 2 5 4 3 0 2.2 1 1 3 1.6 1 2 1.64 M On Time Shipping Performance 2 1 2 4 5 0 1 5 2.9 4 1 2 2.8 1 3 2.2
5 AHiring and Retention20% - 24% Turnover 0 3 0 2 1 0 3 2 1.3 3 2 4 3.1 1 4 2.8
6 ANew Product Development Cycle Time
3 4 2 5 3 3 4 5 3.6 5 3 5 4.6 5 5 5.0
7 M Manufacturing MaintenanceTooling Maintenance 0 3 0 1 2 3 1 0 1.2 1 4 1 1.6 1 1 1.0
8 A Day Sales Outstanding (DSO) 0 0 4 2 0 0 0 0 0.7 1 0 2 1.1 1 1 1.09 M FTY of 65% on product 123 4 4 2 5 4 4 5 5 4.1 2 1 1 1.5 2 1 1.4
RiskProject Information Impact Effort
D efineM easureA nalyzeI mproveC ontrol
Project Ranking
1
2
3
4
5
6
7
8
9
0
1
2
3
4
5
1 2 3 4 5
Effort
Impa
ctProjectNumber
Risk =Ball Size n
Example chart to rank projects 0106-01 Project Rating.xls
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Measure
Establish measurement capability• Validate the database (transactional)• Gage R&R (Repeatability & Reproducibility)• Calibration is not enough• Many (or most) measurement systems are not capable• How good is the data you are using to make decisions?
Fix the measurement system• Enables calculation of process capability• Enables calculation of alpha & beta risks
• This step is often skipped
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Analyze(and fix the obvious)
Find all KPOVs & KPIVs(Key Process Output Variables; Key Process Input Variables)
FMEA, DOE, critical Xs, VA/NVA(Failure Modes Effects Analysis; Design Of Experiment)
Graphical Analysis, ANOVA(Analysis Of Variance)
Future Value Stream Map
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Improve
Optimize KPOVs & test the KPIVs(Key Process Output Variables; Key Process Input Variables)
Redesign process, set pacemaker 5S, Cell design, MRS
(Material Replenishment System) Visual controls Value Stream Plan
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Control
Management of Change• Owned by project champion and value stream manager• Critical to long term success of project• Physical and cultural changes
Measurement controls• On-going metrics
Visual Controls• Enable workers to self-manage the process
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Basic ImplementationRoadmap
Understand and DefineEntire Value Streams
Deploy Key Business Objectives- Measure and target (metrics)
- Align and involve all employees- Develop and motivate
Define, Measure, Analyze, ImproveIdentify root causes, prioritize, eliminate waste,
make things flow and pulled by customers
Control-Sustain Improvement
-Drive Towards Perfection
Identify Customer Requirements
Vision (Strategic Business Plan)
Continuous Improvement (DMAIC)
Identify Customer Requirements
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Hoshin
Key: I mpact Owner SupportType in --> 4 l m
1.2 6 1.1 5
3.2 4 3.1 3
2.2 2 2.1 1
3.0
2.0
1.0
1
2
3
4
5
6
7
8
Resource
Impl
emen
t lea
n co
ncep
ts in
top
3 vo
lum
e lin
es
esta
blis
h pa
reto
of d
river
s fo
r OTD
IT Ope
ratio
ns
Qua
lity
Eng
inee
ring
Mai
nten
ance
Mar
ketin
g
Lead
ers
have
abi
lity
to m
ap a
val
ue s
tream
Met
rics
mod
ule
in a
ll ap
prop
riate
trai
ning
seq
uenc
es
Trai
ning
pro
ject
s de
mon
stra
te fl
owdo
wn
of m
etic
s to
op
erat
iona
l lev
el
Dev
elop
cul
ture
of t
eam
s
Impr
ove
Cust
omer
Foc
us
Educ
ate/
Get E
very
one
Invo
lved
Impr
ove
the
Met
rics
Trai
ning
Establish tracking of OTD in every cell
Improve On Time Delivery to 98%Train workers in how our products are used by our major customers
Com
plet
e 1
Lead
ersh
ip L
GB
trai
ning
cou
rse
Trai
nees
par
ticip
ate
in c
usto
mer
sur
vey
Com
plet
e 3
func
tiona
l LG
B tr
aini
ng c
ours
es
Brin
g re
ps fr
om to
p 10
cus
tom
ers
in fo
r pla
nt to
urs
100%
Com
plet
ion
of L
GB
Pro
ject
s
Conduct interviews with top 10 customers
Train functional leaders as LGBs
Train leadership team as Lean Green Belts (LGB)
Your Annual BreakthroughObjectives
Your
Man
ager
's 1-
Year
Brea
kthr
ough
Obje
ctive
s
Indi
cato
r's a
nd G
oals
Benefi ts
D efineM easureA nalyzeI mproveC ontrol
Top 5 Action Items
Driver Action Description Status Status Description OwnerOriginal Due
DateCurrent Due Date
Late Supplier Deliveries Monthly reporting to suppliers on delivery & quality metrics.
On track
Report Cards Implemented. Adam 5/21 5/21
Late Supplier Deliveries Arrange face to face meetings with top offenders.
On track
Meetings Complete with top 10 Suppliers.
Beth 6/15 6/15
Late Supplier Deliveries Review and approve supplier's corrective action plan.
Caution Corrective Action Plan in Place for 2 major Suppliers
Carlos 7/15 9/15
xyz Cell Always Late Kaizen Event to focus on improving throughput by 40% and improve labor efficiency by 35%
On track
Event held 5/1. 25% throughput improvement in May. Labor Efficiency Increase of 30%
Doreen 5/21 5/21
Unrealistic Promise Date Focus on custom products to provide realistic ATP based on inventory and leadtime of components.
Problem Continued lack of progress. Re-structured and focused team. Developing detailed plan.
Earnest 6/15 8/15
ON TIME DELIVERY (sample)The percentage of sales order line items that ship complete on or before the original customer promise date, for
all line items shipped in the month.
On-Time Delivery
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Target
Pareto of Drivers
0%
25%
50%
75%
100%
Late
Sup
plie
rD
elive
ries
xyz
Cel
lA
lway
sLa
te
Unr
ealis
ticP
rom
ise
Dat
e
Ord
ers
onC
redi
t Hol
d
Low
Yie
ldon
par
t abc
Eng
inee
ring
Cha
nge
Ord
ers
Reason
% Im
pact
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Does it work?.
Source: American Customer Satisfaction Index, U Michigan, HBR, 2001
199973
companies Ralston Purina
Quaker OatsHilton Hotels
Coca-ColaUnilever
etc.
The top companies in Customer Satisfaction grow MVA atnearly twice the rate of their poor-performing counterparts.
$23
$42
0
10
20
30
40
50
Low HighCustomer Satisfaction Index Score
Mar
ket V
alue
Add
ed
In Billions $
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
What about Lean, TOC, TQM
Six Sigma• Remove defects, minimize variance
Lean• Remove waste, shorten the flow
TOC• Remove and manage constraints
TQM• Continuous Improvement
D efineM easureA nalyzeI mproveC ontrol
Value Stream Map - Current State
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
D efineM easureA nalyzeI mproveC ontrol
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
Competitive LT = 3 days
Takt Time = 18.2 min
Customer DataOn-Time Delivery Demand = 45/day
D efineM easureA nalyzeI mproveC ontrol
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
Raw = 5 days
WIP = 12.1 days
FG = 6.5 days
Inventory
D efineM easureA nalyzeI mproveC ontrol
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
Touch Time = 89 min
Flow of ValueLead TimeLead Time = 23.6 days
D efineM easureA nalyzeI mproveC ontrol
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
CT (67) > Takt Time (18)
ConstraintsOTD, Lead TimeMax Wip = 7.6 days
D efineM easureA nalyzeI mproveC ontrol
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
CO = 23 min
CO = Changeover
Setup TimesOP Margin, Lead TimeCO = 1 hour
D efineM easureA nalyzeI mproveC ontrol
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
MaintenanceOTD, Lead TimeUptime = 70%
D efineM easureA nalyzeI mproveC ontrol
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
QualityFTY = 67%
D efineM easureA nalyzeI mproveC ontrol
Customer
Demand = 45 per day2 shifts
Stamping342
CT=1sec Co=1 hr.Uptime=85%
S. Weld # 1
CT=3 min Co=10 min.Uptime=70%
I
I
IICoils
5 days
CT= 15 min Co=0 min.Uptime=100%2 shifts
CT= 67 min Co= 23 min
FTY = 67%2 shifts
ShippingI
I81
202122
Assembly Test
90
1XDaily
90/60/30 dayForecasts
Order Entry
ProductionControl
MRP
6 WEEKForecast
Suppliers Weekly
Fax
WEEKLY SCHEDULELead Time - 34 Days
5 days
1 sec
7.6 days
3 min
1.8 days
15 min
2.7 days
67 min
4.5 days
4 min
2 days
Lead Time =23.6 days
1 shift1 shift
CT= 4 min Co=0
Uptime=100%2 shifts
Competitive Lead Time = 3 Days
Takt Time= 18.2 Minutes
Orders/day= 36
Queue = 1.5 Days
Touch Time = 89 min
What is the pitch time?
Flow of ValueOTD, Lead TimeWho is setting the pace?
D efineM easureA nalyzeI mproveC ontrol
Operational Excellence Training
Making it happen
Three major roles Implementer
• Learns the tools• Works the process• Solves day to day problems
Manager• Learns the methodology• Manages a value stream• Reviews project teams
Leader• Establishes the vision for the future• Sets priorities• Encourages
Where do you need to focus?