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Vad trafiken i


 kan lära dig om din
utvecklingsprocess

     Håkan Forss - hakan.forss@avegagroup.se - @hakanforss
Håkan Forss Lean/Agile Coach




          Håkan Forss - hakan.forss@avegagroup.se - @hakanforss
Little’s Law




                Work-in-Process
Cycle Time =
                  Throughput
Little’s Law




                12
1 min =
              12 / min
Little’s Law




                  6
0,5 min=
               12 / min
Little’s Law




                24
2 min =
              12 / min
20 sec




                                                 40 sec




• With less Work-In-Process
   – Shorter cycle time
      • Better time to market
      • Faster feedback
          – Makes problems visible faster
          – Are we working on the right things
Theory of Constraints
Improve
1. Identify the constraint


   2. Exploit the constraint


       3. Subordinate to the constraint


           4. Elevate the constraint

               5. If in the previous steps a constraint
                   has been broken, Go back to step 1

Don’t allow inertia to cause a system constraint.
Capacity = 6             Capacity = 4        Capacity = 6


                            Throughput = 4

• You can never go faster than your bottleneck
   – The capacity at the bottleneck will dictate the capacity of
     the complete process
Capacity >= 4                    Capacity = 4               Capacity = 6


                                  Throughput = 4

• You can never go faster than your bottleneck
   – As long as capacity in front of the bottleneck is equal to or grater than the
     bottleneck you will go as fast as your bottleneck
   – Full use of a higher capacity in front of the bottleneck will make cycle time
     go up
Capacity = 6                     Capacity = 4               Capacity >= 4


                                  Throughput = 4

• You can never go faster than your bottleneck
   – As long as capacity is equal to or greater after the bottleneck you will go as
     fast as your bottleneck
   – Higher capacity after the bottleneck than at the bottleneck will not improve
     throughput over time
1. Identify the constraint


   2. Exploit the constraint


       3. Subordinate to the constraint


           4. Elevate the constraint

               5. If in the previous steps a constraint
                   has been broken, Go back to step 1

Don’t allow inertia to cause a system constraint.
• Bottleneck at the end of the process
  – Work is backing up
  – Slowing down the process
  – Cycle times goes up
• Bottleneck at the beginning/middle of the process
   – Work is drying up at the end of the process making
     workers idle
• Non-instant availability resource
   – Looks like a bottleneck
• Non-instant availability resource
   – A resource that is not available all the time
   – Has required capacity but is not instantly available
1. Identify the constraint


   2. Exploit the constraint


       3. Subordinate to the constraint


           4. Elevate the constraint

               5. If in the previous steps a constraint
                   has been broken, Go back to step 1

Don’t allow inertia to cause a system constraint.
• Exploit your bottleneck
   – Bottlenecks should only work on bottleneck activities
   – Do whatever you can to make your bottleneck 100% utilized
   – Try your hardest to avoid problems at you bottleneck

   – Time lost at the bottleneck is time forever lost for the process
1. Identify the constraint


   2. Exploit the constraint


       3. Subordinate to the constraint


           4. Elevate the constraint

               5. If in the previous steps a constraint
                   has been broken, Go back to step 1

Don’t allow inertia to cause a system constraint.
• Subordinate to your bottleneck
   – Do what you can to always have work for the bottleneck
   – Do what you can to avoid passing defects on to the bottleneck

   – Sub optimal performance for non bottlenecks can be accepted
• Subordinate to your bottleneck
   – Try to use you over capacity to alleviate the bottleneck of non bottleneck
     work

   – Sub optimal performance for non bottlenecks can be accepted
1. Identify the constraint


   2. Exploit the constraint


       3. Subordinate to the constraint


           4. Elevate the constraint

               5. If in the previous steps a constraint
                   has been broken, Go back to step 1

Don’t allow inertia to cause a system constraint.
• Elevate your bottleneck
   – Expand the capacity at the bottleneck
   – Expensive as it usually will use bottleneck resources
1. Identify the constraint


   2. Exploit the constraint


       3. Subordinate to the constraint


           4. Elevate the constraint

               5. If in the previous steps a constraint
                   has been broken, Go back to step 1

Don’t allow inertia to cause a system constraint.
1. Identify the constraint


   2. Exploit the constraint


       3. Subordinate to the constraint


           4. Elevate the constraint

               5. If in the previous steps a constraint
                   has been broken, Go back to step 1

Don’t allow inertia to cause a system constraint.
Balance demand to flow
Wishful thinking



       Demand = 6                      Capacity = 4




• Balance demand to flow
  – Capacity at the bottleneck will dictate the capacity of the process
  – Balance your demand to a continuous flow through the bottleneck

  – Higher demand than capacity will increase cycle time
• Balance demand to flow
  – An even flow can stabilize the process
  – Low work-in-process
      • Keeps cycle time down
      • Makes bottlenecks visible faster
• Slow down to go faster
   – Slowing down can stabilize the process flow
   – A stable process can go faster
Classes of Service
• Classify work in different classes of service
   – Use for prioritization of work
   – Help manage flow

   – Common classes: Standard, Expedite, Fixed Delivery Date, Intangible
Keep work-in-progress low
• Keeps cycle time down
• Makes bottlenecks visible faster

Use Theory of Constraints to improve
• Use five focusing steps to improve
• Eliminate one bottleneck at a time

Balance demand to flow
• You can’t go faster than the bottleneck
• Use work-in-progress limits

Classify work in different classes of service
• Use for prioritization of work
• Help to manage flow
Håkan Forss
Mail: hakan.forss@avegagroup.se
Twitter: @hakanforss
Blog: http://hakanforss.wordpress.com/
Recommended reading




     Håkan Forss - hakan.forss@avegagroup.se - @hakanforss

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Vad trafiken i stockholm kan lära dig om din utvecklingsprocess best ofdevsum 2011 11-14

  • 1. Vad trafiken i kan lära dig om din utvecklingsprocess Håkan Forss - hakan.forss@avegagroup.se - @hakanforss
  • 2. Håkan Forss Lean/Agile Coach Håkan Forss - hakan.forss@avegagroup.se - @hakanforss
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Little’s Law Work-in-Process Cycle Time = Throughput
  • 11. Little’s Law 12 1 min = 12 / min
  • 12. Little’s Law 6 0,5 min= 12 / min
  • 13. Little’s Law 24 2 min = 12 / min
  • 14. 20 sec 40 sec • With less Work-In-Process – Shorter cycle time • Better time to market • Faster feedback – Makes problems visible faster – Are we working on the right things
  • 16.
  • 17.
  • 19. 1. Identify the constraint 2. Exploit the constraint 3. Subordinate to the constraint 4. Elevate the constraint 5. If in the previous steps a constraint has been broken, Go back to step 1 Don’t allow inertia to cause a system constraint.
  • 20.
  • 21.
  • 22. Capacity = 6 Capacity = 4 Capacity = 6 Throughput = 4 • You can never go faster than your bottleneck – The capacity at the bottleneck will dictate the capacity of the complete process
  • 23. Capacity >= 4 Capacity = 4 Capacity = 6 Throughput = 4 • You can never go faster than your bottleneck – As long as capacity in front of the bottleneck is equal to or grater than the bottleneck you will go as fast as your bottleneck – Full use of a higher capacity in front of the bottleneck will make cycle time go up
  • 24. Capacity = 6 Capacity = 4 Capacity >= 4 Throughput = 4 • You can never go faster than your bottleneck – As long as capacity is equal to or greater after the bottleneck you will go as fast as your bottleneck – Higher capacity after the bottleneck than at the bottleneck will not improve throughput over time
  • 25. 1. Identify the constraint 2. Exploit the constraint 3. Subordinate to the constraint 4. Elevate the constraint 5. If in the previous steps a constraint has been broken, Go back to step 1 Don’t allow inertia to cause a system constraint.
  • 26.
  • 27.
  • 28.
  • 29. • Bottleneck at the end of the process – Work is backing up – Slowing down the process – Cycle times goes up
  • 30.
  • 31.
  • 32. • Bottleneck at the beginning/middle of the process – Work is drying up at the end of the process making workers idle
  • 33.
  • 34.
  • 35.
  • 36. • Non-instant availability resource – Looks like a bottleneck
  • 37. • Non-instant availability resource – A resource that is not available all the time – Has required capacity but is not instantly available
  • 38.
  • 39.
  • 40. 1. Identify the constraint 2. Exploit the constraint 3. Subordinate to the constraint 4. Elevate the constraint 5. If in the previous steps a constraint has been broken, Go back to step 1 Don’t allow inertia to cause a system constraint.
  • 41. • Exploit your bottleneck – Bottlenecks should only work on bottleneck activities – Do whatever you can to make your bottleneck 100% utilized – Try your hardest to avoid problems at you bottleneck – Time lost at the bottleneck is time forever lost for the process
  • 42. 1. Identify the constraint 2. Exploit the constraint 3. Subordinate to the constraint 4. Elevate the constraint 5. If in the previous steps a constraint has been broken, Go back to step 1 Don’t allow inertia to cause a system constraint.
  • 43.
  • 44. • Subordinate to your bottleneck – Do what you can to always have work for the bottleneck – Do what you can to avoid passing defects on to the bottleneck – Sub optimal performance for non bottlenecks can be accepted
  • 45. • Subordinate to your bottleneck – Try to use you over capacity to alleviate the bottleneck of non bottleneck work – Sub optimal performance for non bottlenecks can be accepted
  • 46. 1. Identify the constraint 2. Exploit the constraint 3. Subordinate to the constraint 4. Elevate the constraint 5. If in the previous steps a constraint has been broken, Go back to step 1 Don’t allow inertia to cause a system constraint.
  • 47.
  • 48. • Elevate your bottleneck – Expand the capacity at the bottleneck – Expensive as it usually will use bottleneck resources
  • 49. 1. Identify the constraint 2. Exploit the constraint 3. Subordinate to the constraint 4. Elevate the constraint 5. If in the previous steps a constraint has been broken, Go back to step 1 Don’t allow inertia to cause a system constraint.
  • 50.
  • 51. 1. Identify the constraint 2. Exploit the constraint 3. Subordinate to the constraint 4. Elevate the constraint 5. If in the previous steps a constraint has been broken, Go back to step 1 Don’t allow inertia to cause a system constraint.
  • 53. Wishful thinking Demand = 6 Capacity = 4 • Balance demand to flow – Capacity at the bottleneck will dictate the capacity of the process – Balance your demand to a continuous flow through the bottleneck – Higher demand than capacity will increase cycle time
  • 54.
  • 55. • Balance demand to flow – An even flow can stabilize the process – Low work-in-process • Keeps cycle time down • Makes bottlenecks visible faster
  • 56.
  • 57. • Slow down to go faster – Slowing down can stabilize the process flow – A stable process can go faster
  • 58.
  • 60.
  • 61. • Classify work in different classes of service – Use for prioritization of work – Help manage flow – Common classes: Standard, Expedite, Fixed Delivery Date, Intangible
  • 62.
  • 63.
  • 64. Keep work-in-progress low • Keeps cycle time down • Makes bottlenecks visible faster Use Theory of Constraints to improve • Use five focusing steps to improve • Eliminate one bottleneck at a time Balance demand to flow • You can’t go faster than the bottleneck • Use work-in-progress limits Classify work in different classes of service • Use for prioritization of work • Help to manage flow
  • 65. Håkan Forss Mail: hakan.forss@avegagroup.se Twitter: @hakanforss Blog: http://hakanforss.wordpress.com/
  • 66. Recommended reading Håkan Forss - hakan.forss@avegagroup.se - @hakanforss

Editor's Notes

  1. Every process has at least oneOne is always a number oneWhen you break it number two will take it’s place
  2. Identify the constraint
  3. Very busy, all the timeWork piles up in front of themPeople downstream idle
  4. There are two different types of bottlenecks: - Capacity contraint resource - a resource limited by capacity, like a bottle - non instantly available resource - a resource that is not available all the time
  5. There are two different types of bottlenecks: - Capacity contraint resource - a resource limited by capacity, like a bottle - non instantly available resource - a resource that is not available all the time
  6. Exploit the constraint
  7. No task switchingNo idle timeOnly work on highest priority itemsOnly value-adding workNo wasted effortBest working conditions.
  8. Subordinate to the constraint
  9. Only high quality inputDon’twastevaluecreated by bottleneckDrum-buffer-ropeSubordinates need slackShare work.
  10. Training and toolsCoaching and mentoringTeam retrospectivesIndividual improvementWorkspaceimprovementProcess improvementPairingMore resources