the science of kanban
DESCRIPTION
TRANSCRIPT
The Science of Kanban
Scientific Management
System
Study
Share
LimitSense
Learn
Complicated• Potentially Knowable• Cause-Effect separated in time
& space• Sense → Analyse → Respond
Simple• Known• Cause-Effect perceivable,
predictable, repeatable• Sense → Categorise → Respond
Complex• Retrospectively Coherent• Cause-Effect not repeatable• Probe → Sense → Respond
Chaos• Incoherent• Cause-Effect not perceivable• Act → Sense → Respond
Un
ord
ere
d D
omai
ns
Ord
ere
d Do
ma
ins
Disorder
http://www.cognitive-edge.com/
People
Clark & Wheelwright: Managing New Product and Process Development
12
34
5
0
10
20
30
40
50
60
70
80
90
100
Working Time Context Switching Time
Number of Simultaneous Projects
Per
cen
t
Gerald Weinberg, Quality Software Management: Systems Thinking
Assumptions Strategies & Techniques Results
Single Loop Learning
Double Loop Learning
Process
Utilisation
Que
ue
Queuing Capacity Utilisation
Lead Time = Queue Size / Processing Rate
Flow = Speed x Density
Density
Speed
Flow
Miles per Hour
VehiclesperMile
VehiclesperHour
MilesperHour
Difference
Adjustment
BTemperatureDel
ay
Fast Feedback
Smaller Queues
Lower WIP
Faster Flow
Economics
Dis
coun
ted
Cas
h
Investment Period Payback Period Profit Period
Time
Self-fundingPoint
Break-evenPoint
MaximumCashInjectionNeeded
Life Cycle Profits
Expedite
Standard
FixedDate Intangible
Cos
t
Time
Cost of Delay
Probability of Failure
Info
rmat
ion
0% 100%
Information Theory
Ideas
Build
Code
Measure
Data
Learn
Lean Startup
Pay
off
Performance
Target
Loss
Gain
Asymmetric Pay-offs
Sequence Early
Sequence Late
Cost of Risk Reduction
Val
ue o
f R
isk
Red
uctio
n
Risk Reduction
Plan
Do
Check
Act
Observe
Orient
Decide
Act
Why
How
What
The Golden
Circle
http://www.startwithwhy.com/
Productivity Quality
Responsiveness
Customer Satisfaction
Predictability
EmployeeSatisfaction
Economics
ProcessPeople
Lean
Books
• Kanban – David J. Anderson• The Principles of Product Development
Flow – Donald G. Reinertsen• Brain Rules – John Medina• Software by Numbers – Mark Denne &
Jane Cleland-Huang
