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Dependent Events and Statistical Fluctuations






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Dependent Events and Statistical Fluctuations. Jonah: What is the combined effect of dependent events and statistical fluctuations?. Topics. Dependent Events Statistical Fluctuations Drum, Buffer, Rope Scheduling. Dependent Events. What are dependent events?.
Dependent Events and Statistical Fluctuations

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Slide 1

Dependent Events and Statistical Fluctuations

Jonah: What is the combined effect of dependent events and statistical fluctuations?

Paul A. Jensen

Operations Research Models and Methods

Copyright 2004 - All rights reserved

Slide 2

Topics

  • Dependent Events

  • Statistical Fluctuations

  • Drum, Buffer, Rope Scheduling

Slide 3

Dependent Events

Slide 4

What are dependent events?

Slide 5

What happens if we ask everyone to be efficient?

Slide 6

How can we control a system with dependent events?

  • Step 1: Identify the system’s bottleneck

  • Step 2: Exploit the system’s bottleneck

  • Step 3: Subordinate everything else to the bottleneck

Slide 7

How can we improve a system with dependent events?

  • Step 4: Elevate the system’s constraint.

Slide 8

Focus on the bottleneck

  • What is time worth on the bottleneck?

  • What is time worth on the non-bottlenecks?

Slide 9

What are the benefits of this process?

  • Better process control

  • Reduced inventories

  • Reduced operating expenses

  • Increased throughput

Slide 10

Concepts: Dependent Events

  • Can we have bottlenecks in systems with independent events?

  • What is a bottleneck?

  • How do we control with a bottleneck?

  • What are the benefits of this control?

  • Where should we focus improvement efforts?

  • Should we have a bottleneck?

Slide 11

Statistical Fluctuations

Slide 12

Should we balance the capacities in the line?

Slide 13

What is the effect of statistical fluctuation?

  • Where is the bottleneck?

  • How do we improve?

Slide 14

Jonah: Balance flow not capacity

  • It is good to have a bottleneck?

  • Control production through the bottleneck.

  • Subordinate the production in nonbottlenecks to assure that the bottleneck is never delayed.

Slide 15

Concepts: Statistical Fluctuations

  • What is the effect of statistical fluctuation?

  • Is it good to balance the capacities in the line?

  • Why is it helpful to have a bottleneck in the line?

Slide 16

Drum, Buffer, Rope Scheduling

Slide 17

What happens if Herbie cannot be put at the front of the line?

Slide 18

We need some way to control those who are in front of Herbie

  • How about a drum?

  • How about a rope?

  • Where is the buffer?

Slide 19

What is the equivalent in the manufacturing system?

Slide 20

Drum, Buffer, Rope Scheduling System

  • Drum: A schedule for the Constraint resource

  • Rope: The time interval between when material is required at the constraint and the release of the raw material to the first station

  • Buffer: The difference between the rope and the minimum time required in the stages preceding the constraint

Slide 21

A Cycle in the Production System

Slide 22

How does the rope affect the cycle time?

  • What happens when we increase the rope?

  • Do we want the rope large or small?

Slide 23

How does the cycle time affect work in process (inventory)?

  • Work in Process = (cycle time)*(Flow Rate)

  • Time in machine C = 12 minutes.

  • Flow rate = (1/12) units per minute.

  • Cycle time = 1500 minutes.

  • Work in Process = (1/12) units per minute*1500 minutes

    • = 125 Units.

Slide 24

How do we select the length (time) of the rope?

  • Why would we like to keep the rope relatively long?

  • Why would we like to keep the rope relatively short?

  • Which is the most important effect?

Slide 25

Concepts (D, B, R)

  • What is the drum?

  • What is the rope?

  • What is the buffer

  • How do we select the length (time) of the rope?


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