Drum –Buffer-Rope Skorkovský Based on : R. Holt, Ph.D., PE.

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Presentation transcript:

Drum –Buffer-Rope Skorkovský Based on : R. Holt, Ph.D., PE

Traditional Approach: Divide and Conquer Division of Labor breaks down linkages complex systems into manageable chunks. Which is harder to manage? Left or Right? Left Right

We Measure Operational Efficiency Work flows from left to right through processes with capacity shown. Market Request 11 Process A B C D E RM FG Capability Parts/Day 7 9 5 8 6 Excellent Efficiency--Near 100% Chronic Complainer Too Much Overtime RM = raw material FG = finished goods

Reward Based on Efficiency Work flows from left to right. Process A B C D E RM FG Capability Parts/Day 7 9 5 8 6 Both found ways to look busy and appear to have a capacity of 5 parts/day.

In reality... Processes A and B won’t produce more than Process C for long. Process A B C D E RM FG Potential P/D 7 9 5 8 6 Reality 5 5 5 5 5 P/D=parts/day

Then Variability Sets In Processing times are just AVERAGE Estimates Process A B C D E RM FG Reality 5±2 5±2 5±2 5±2 5±2

Over all: 0,5*0,5*0,5*0,5*0,5=0,03125=3% Chance of 5 per day !!! What’s an Average? 50% Half the time there are 5 or more per day at each process--Half the time less Process A B C D E RM FG Reality 5±2 5±2 5±2 5±2 5±2 Probability 0.5 0.5 0.5 0.5 0.5 0.25 Two at a time: 0.25 Over all: 0,5*0,5*0,5*0,5*0,5=0,03125=3% Chance of 5 per day !!!

Previous Solution: Inventory Put a day of inventory (WIP) at each process! WIP 5 5 5 5 5 Total 25 Process A B C D E RM FG Variable 5±2 5±2 5±2 5±2 5±2 Process

System Variability Takes Over--Chaos Inventory (WIP) quickly shifts position. Inventory manager/expediter tries to smooth it out. Distribution problems result. Costs go up !!! WIP 3 0 10 8 4 Total 25 RM FG Process A B C D E Variable 5±2 5±2 5±2 5±2 5±2 Process

System Variability Takes Over--Chaos An Average of 5 means sometimes 3 and some times 7 Process A B C D E WIP 3 0 10 8 4 Total 25 RM FG Variable 5±2 5±2 5±2 5±2 5±2 Process Shifting work-in-process creates large queues at some locations. This makes work wait longer to be processed.

System Variability Takes Over--Chaos Process A B C D E WIP 3 0 10 8 4 Total 25 RM FG Variable 5±2 5±2 5±2 5±2 5±2 Process Shifting work-in-process creates large queues at some locations. This makes work wait longer to be processed. Other workstations are starving for work (B) The work they could do is delayed because they have no input material. They can’t take advantage of their extra capability. So....... ?

System Variability Takes Over--Chaos Process A B C D E ->X 30 WIP 3 5 10 8 4 Total 25 RM FG Variable 5±2 5±2 5±2 5±2 5±2 Process So… Management Helps! Management puts in more work (Inventory) (rate of RM) to give everyone something to do! Result: It takes longer and longer from time of release until final shipping. More and more delay!!!!!!!!!!!

TOC Steps to Continuous Improvement Step 1. Identify the system’s constraint. Step 2. Exploit the system’s constraint. Step 3. Subordinate everything else to the above decision. Step 4. Elevate the system’s constraint. Step 5. If a constraint is broken (that is, relieved or improved), go back to Step 1. But don’t allow inertia to become a constraint.

Five Steps Applied to Flow Operations Step 3. Subordinate Everything Else (Rope) Step 2. Exploit the Constraint (Buffer the Drum) 12 WIP Total A B C D E Step 1. Identify the Constraint (The Drum) RM FG Step 4. Elevate the Constraint ($?) 7 9 5 8 6 Five Focusing Steps Step 5. If the Constraint Moves, Start Over

Understanding Buffers WIP Total 12parts/5parts per day=2.5 Days A B C D E FG RM 7 9 5 8 6 The “Buffer” is Time! In general, the buffer is the total time from work release until the work arrives at the constraint. Contents of the buffer ebb and flow within the buffer If different items spend different time at the constraint, then number of items in the buffer changes but Time in the buffer remains constant.

We need more than one Buffer There is variability in our suppliers. We need to protect ourselves from unreliable delivery. Raw Material Buffer There is variability in the Constraint. To protect our delivery to our customer we need a finished goods buffer. Finished Goods Buffer A B C D E RM FG 7 9 5 8 6

Buffer Time is Constant-Predictable Raw Material Buffer Finished Goods Buffer A B C D E RM FG 7 9 5 8 6 Raw Material Buffer 2 Days=10/5 Constraint Buffer 2.5 Days Finished Goods Buffer 1 Day Processing Lead Time is Constant

Buffer Management FG Constraint Buffer WIP Total 12/5=2.5 Days A B C D E FG RM 7 9 5 8 6 WO21 WO17 WO13 The Constraint is scheduled very carefully Buffer Managed by location Individual activities in the buffer are not scheduled WO20 WO16 WO12 WO19 WO15 WO11 WO18 WO14 WO10 2.5 Days Time until Scheduled at Constraint

Problem Identification RM Watch WO14 (Yellow) A B C D E Constraint schedule is in jeopardy! (Red Zone Hole) WO19 OK (Green) FG RM 7 9 5 8 6 WO19 Delayed Parts WO21 WO17 WO13 WO20 WO16 WO12 WO19 WO15 WO11 WO18 WO14 WO10 2.5 Days Time until Scheduled at Constraint

Additional Buffers Constraint Buffer (as we discussed) Protects the Constraint from running out of work Finished Goods Buffer Protects customer delivery from Constraint variation Raw Material Buffer Protects the Release of material from suppliers Assembly Buffer Facilitates speedy flow of products

Additional Buffers Ropes Buffer Types: Constraint FG RM Assembly WIP Finished goods A B C D E Raw Material RM FG 7 9 5 8 6 F G H Assembly RM 8 7 6

Manufacturing is an integrating discipline TOC Thinking Processes Physical Systems Behavior Operations Optimization Simulation Decisions Reliability Supply Chain People Organizations Performance Measurement Assignments Quality Finance Capital Projects Uncertainty Investment Measures Projects Full Theory Scheduling Manage Quality Design for Experiments Strategy Corporate Departmental Subordination Focus