Using ToC And JIT Practice To Coach Agile Teams
Post on 06-May-2015
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Licensed Under Creative Commons by Naresh Jain
Using ToC and JIT Practice to Coach Agile Teams
Naresh Jainnaresh@industriallogic.com
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Example Context
Large Enterprise clients [450 ppl + 30 teams]
Huge communication and delivery issues
Help teams adopt Agile thinking
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Time in days
Bug reported
0
Customer Signoff
71
Consider this...
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After Value Stream Mapping
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Time in days
Bug reported
0
After Value Stream Mapping
4
Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
After Value Stream Mapping
4
Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
After Value Stream Mapping
4
Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
After Value Stream Mapping
4
Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
After Value Stream Mapping
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
6931
After Value Stream Mapping
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
6931
Customer Signoff
712
After Value Stream Mapping
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
6931
Customer Signoff
712
After Value Stream Mapping
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Identify Constraints/bottleneck
Subordinate everything else and Elevate the Constraints/bottleneck
Set Goals
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Agenda
Some background about ToC and JIT
Technique
Open Discussion with examples from audience
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Theory of Constraint is based on the premise that...
“Every real system, such as a business, must have within it at least one constraint. If this were not the case then the system could produce unlimited amounts of whatever it was striving for, profit in the case of a business.……………….”
Dr Eli Goldratt
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“Theory of Constraints”
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“Theory of Constraints”
Global optimization does not emerge from local optima
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“Theory of Constraints”
Global optimization does not emerge from local optima
Managing by cost (optimizing local performance) is usually at odds with managing by throughput (exploiting constraints)
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Significance of bottlenecks
Maximum speed of the process is the speed of the slowest operation
Any improvements will be wasted unless the bottleneck is relieved
Bottlenecks must be identified and improved if the process is to be improved
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Significance of bottlenecks
Maximum speed of the process is the speed of the slowest operation
Any improvements will be wasted unless the bottleneck is relieved
Bottlenecks must be identified and improved if the process is to be improved
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Assume current constraints cannot be changed in the short-run
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Assume current constraints cannot be changed in the short-run
What should be produced now, with current resources, to maximize profits?
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How to apply ToC?
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How to apply ToC?
Step 1: Identify the system's constraint(s).
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How to apply ToC?
Step 1: Identify the system's constraint(s).
Step 2: Decide how to exploit the system's constraint(s).
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How to apply ToC?
Step 1: Identify the system's constraint(s).
Step 2: Decide how to exploit the system's constraint(s).
Step 3: Subordinate everything else to the decisions of Step 2.
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How to apply ToC?
Step 1: Identify the system's constraint(s).
Step 2: Decide how to exploit the system's constraint(s).
Step 3: Subordinate everything else to the decisions of Step 2.
Step 4: Elevate the system's constraint(s).
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How to apply ToC?
Step 1: Identify the system's constraint(s).
Step 2: Decide how to exploit the system's constraint(s).
Step 3: Subordinate everything else to the decisions of Step 2.
Step 4: Elevate the system's constraint(s).
Step 5: Back to Step 1, identify next constraint.
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Step 1: Identify the system’s constraint(s)
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Step 1: Identify the system’s constraint(s)
Goal?
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Step 1: Identify the system’s constraint(s)
Goal?
Throughput?
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Step 1: Identify the system’s constraint(s)
Goal?
Throughput?
Inventory?
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Step 1: Identify the system’s constraint(s)
Goal?
Throughput?
Inventory?
Operating Expense?
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Step 2: Decide how to exploit the system’s constraint(s)
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Step 3: Subordinate everything else to the decisions of Step 2
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Step 4: Elevate the system’s constraint(s)
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Step 5: Back to Step 1, identify next constraint.
What might happen if the constraint is elevated?
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ToC : 3 things can increase profitability of a plant
Decrease Inventory
Decrease Operating Expense
Increase Throughput
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How does ToC apply to Software projects?
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How does ToC apply to Software projects?
Inventory
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How does ToC apply to Software projects?
Inventory
Features requested but not specified
Features specified and documented but not built
Code that's written but not tested
Code that's tested but not deployed to users
Code that's deployed but not used
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How does ToC apply to Software projects?...
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How does ToC apply to Software projects?...
Operating expenses
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How does ToC apply to Software projects?...
Operating expenses
Idle team members - Phased approach
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How does ToC apply to Software projects?...
Operating expenses
Idle team members - Phased approach
Commercial Tools
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How does ToC apply to Software projects?...
Operating expenses
Idle team members - Phased approach
Commercial Tools
Cost of change curve - rework
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How does ToC apply to Software projects?...
Operating expenses
Idle team members - Phased approach
Commercial Tools
Cost of change curve - rework
Constant thrashing of ideas
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How does ToC apply to Software projects?...
Operating expenses
Idle team members - Phased approach
Commercial Tools
Cost of change curve - rework
Constant thrashing of ideas
Technical Debt
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How does ToC apply to Software projects?...
Throughput
Large batch Size - Queuing Theory
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Source: Beyond Agile Software Development Becoming Lean, Mary Poppendieck, Poppendieck.llc
Utilization (%)
Queuing Theory
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How does ToC apply to Software projects?...
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How does ToC apply to Software projects?...
Throughput
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How does ToC apply to Software projects?...
Throughput
Large batch Size - Queuing Theory
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How does ToC apply to Software projects?...
Throughput
Large batch Size - Queuing Theory
Heavyweight methodology
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How does ToC apply to Software projects?...
Throughput
Large batch Size - Queuing Theory
Heavyweight methodology
Poor choice of tools
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How does ToC apply to Software projects?...
Throughput
Large batch Size - Queuing Theory
Heavyweight methodology
Poor choice of tools
Real resource shortage
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Using Lean principles to Identify Waste
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Using Lean principles to Identify Waste
Overproduction = Extra Features
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Using Lean principles to Identify Waste
Overproduction = Extra Features
Inventory = Requirements
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Using Lean principles to Identify Waste
Overproduction = Extra Features
Inventory = Requirements
Extra Processing Steps = Extra Steps
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Using Lean principles to Identify Waste
Overproduction = Extra Features
Inventory = Requirements
Extra Processing Steps = Extra Steps
Motion = Finding Information
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Using Lean principles to Identify Waste
Overproduction = Extra Features
Inventory = Requirements
Extra Processing Steps = Extra Steps
Motion = Finding Information
Defects = Defects Not Caught by Tests
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Using Lean principles to Identify Waste
Overproduction = Extra Features
Inventory = Requirements
Extra Processing Steps = Extra Steps
Motion = Finding Information
Defects = Defects Not Caught by Tests
Waiting = Waiting, Including Customers
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Using Lean principles to Identify Waste
Overproduction = Extra Features
Inventory = Requirements
Extra Processing Steps = Extra Steps
Motion = Finding Information
Defects = Defects Not Caught by Tests
Waiting = Waiting, Including Customers
Transportation = Handoffs
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Just In Time
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Just In Time
A pull system, driven by actual demand. The goal is to produce or provide one part just-in-time for the next operation. Reduces stock inventories, but leaves no room for schedule error. As much a managerial philosophy as it is an inventory system.
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Just In Time
A pull system, driven by actual demand. The goal is to produce or provide one part just-in-time for the next operation. Reduces stock inventories, but leaves no room for schedule error. As much a managerial philosophy as it is an inventory system.
Last Responsible Moment
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Just In Time
A pull system, driven by actual demand. The goal is to produce or provide one part just-in-time for the next operation. Reduces stock inventories, but leaves no room for schedule error. As much a managerial philosophy as it is an inventory system.
Last Responsible Moment
Just-In-Time Training - Training provided to individuals or units just before the skills or function taught will be used in a practical application. Typically used to teach perishable or infrequently used skills
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Can we benefit more from ToC, JIT and Lean?
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What if...
We consider software team members as the machines in our software factories?
Can we apply ToC and benefit?
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Consider this...
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Time in days
Bug reported
0
Consider this...
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Time in days
Bug reported
0
Reproduce Bug
88
Consider this...
27
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Consider this...
27
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Consider this...
27
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Consider this...
27
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
6931
Consider this...
27
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
6931
Customer Signoff
712
Consider this...
27
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
6931
Customer Signoff
712
Consider this...
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Challenges making a Release
Developers not checking in frequently
Complicated and non-standard build process
Real Build owned by Config Mgmt Team
...
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Fixing Release issues by applying JIT Practice
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Fixing Release issues by applying JIT Practice
Standardize build process for the whole team
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Fixing Release issues by applying JIT Practice
Standardize build process for the whole team
Manual integration on developers machines before checking in
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Fixing Release issues by applying JIT Practice
Standardize build process for the whole team
Manual integration on developers machines before checking in
Manual integration on an independent server machine
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Fixing Release issues by applying JIT Practice
Standardize build process for the whole team
Manual integration on developers machines before checking in
Manual integration on an independent server machine
Continuous integration using CI servers like CruiseControl
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After optimizing biggest bottleneck...
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Time in days
Bug reported
0
After optimizing biggest bottleneck...
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Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
After optimizing biggest bottleneck...
30
Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
After optimizing biggest bottleneck...
30
Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
After optimizing biggest bottleneck...
30
Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
After optimizing biggest bottleneck...
30
Licensed Under Creative Commons by Naresh Jain
Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
435
After optimizing biggest bottleneck...
30
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
435
Customer Signoff
452
After optimizing biggest bottleneck...
30
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Time in days
Bug reported
0
Reproduce Bug
88
Write failing test
102
Fix Bug
3020
Regression Testing
388
Making a release
435
Customer Signoff
452
After optimizing biggest bottleneck...
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After recursively applying ToC
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After recursively applying ToC
Total time to fix any bug was 10 days...one two-week iteration
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After recursively applying ToC
Total time to fix any bug was 10 days...one two-week iteration
Find practices or techniques that help solve this problem and recurse.
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Summary
ToC and JIT can be applied to software team’s “business” process
Using Retrospectives and other techniques Identify biggest stinkers [bottlenecks]
Use a JIT practice to elevate the bottleneck
Baby Steps - No Silver Bullets!
Recurse
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