Chapter 12 - Linear programming Flashcards

1
Q

When are linear programming techniques used?

A

if faced with 2+ limiting factors

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2
Q

What does linear programming involve?

A

Construction of a mathematical model to represent the decisions problem

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3
Q

What are the steps of linear programming?

A
  1. Define variables
  2. State objective function
  3. State constraints
  4. Draw graph
  5. Find optimal solution
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4
Q

What does the objective function express?

A

Total contribution made from 2 products

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5
Q

How are constraints displayed?

A

As equations

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6
Q

What does an iso-contribution line show?

A

All combinations of x and y that provide the same total value for the objective function

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7
Q

What is the aim of the minimisation problem?

A

Find a total cost line touching the feasible polygon at a tangent as close to the origin as possible

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8
Q

What are binding constraints?

A

Max availability of the resource related to those constraints being used

Resource being used = resource available

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9
Q

What are non-binding constraints?

A

Constraints not fully used at the optimal solution point

Resource being used > resource available

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10
Q

What is slack?

A

Amount of a resource that’s under-utilised when the optimum plan is implemented

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11
Q

Why is slack important?

A

Beacuse unused resources can be put to another use

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12
Q

What is slack when the constraint is binding?

A

0, known as a scarce resource

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13
Q

What is the shadow price?

A

Max premium on price that the organisation would pay for the extra resource

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14
Q

How are shadow prices for a critical constraint calculated?

A
  1. Take the equations of the lines that intersect at the optimal point, +1 unit and leave critical constraint unchanged
  2. Use simultaneous equations to derive new optimal solution
  3. Calc revised optimal contribution and compare to original
  4. Increase from original is the shadow price
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15
Q

What are the limitations of linear programming?

A
  • Linear relationship must exist
  • Assumes single quantifiable objective
  • Too complex to solve manually when there are lots of variables
  • Assumes variables are completely divisible
  • Assumes static situation
  • Assumes short-term scenario
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16
Q

What are the advantages of using spreadsheets?

A
  • Easy to use
  • Quick data processing
  • Reduce errors
  • Quick reporting/analysis
17
Q

What are the disadvantages of using spreadsheets?

A
  • Sharing violations
  • Unable to identify input errors
18
Q

What type of non-financial data will be relevant to choosing the optimal product mix?

A
  • Customer value placed on a product
  • Competitor plans
  • Length of time resource will be scarce
  • Expected demand
  • Ethical impacts of removing a product