Chapter 4 - Planning With Limitng Factors Flashcards
A linear programming problem involving two variables
Linear programming is used to maximise contribution and/ or minimise costs.
The steps involved in linear programming are:
Step 1: Define the variables
Step 2: Define and formulate the objective (maximise contribution)
Step 3: Formulate the constraints
Step 4: Draw a graph identifying the feasible region
Step 5: Solve for the optimal production plan
Step 6: Answer the question
Planning with one limiting factor
If there is one limiting factor, then the problem is best solved using key factor analysis.
Step 1: Identify the scarce resource.
Step 2: Calculate the contribution per unit for each product.
Step3: Calculate the contribution per unit of the scarce resource for each product.
Step 4: Rank the products in order of the contribution per unit of the scarce resource.
Step 5: Allocate resources using this ranking and answer the question.
Slack
Slack:
- The amount by which a resource is under-utilised. It will occur when the optimum point does not fall on a given resource line.
- Is important because unused resources can be put to another use.
Shadow (Dual) prices
Shadow (dual) price:
- Found by calculating the increase in value (usually extra contribution) which would be created by having one additional unit of a limiting resource at its original cost.
- It represents the maximum premium that the firm should be willing to pay for one extra unit of each constraint.
- Non-critical constraints will have zero shadow prices as slack exists already.
Calculating shadow prices
Step 1: Take the equations of the straight lines that intersect at the optimal point. Add one unit to the constraint concerned while leaving the other unchanged.
Step 2: Use simultaneous equations
Step 3: Calculate the revised optimal contribution. The increase is the shadow price for the constraint under consideration
Implications of shadow prices
- Management can use shadow prices as a measure of the maximum premium they would be willing to pay for one more unit of the scarce resource.
- However, e.g. If the shadow price of labour is $20 per hour, it may be possible to negotiate a lower price than this.
- If more of the critical constraint is obtained, then the constraint line will move outwards and alter the shape of the feasible region. Then after a certain point, there will be little point in buying more of the scarce resource since any non- critical constraints will be critical.
Limiting factor analysis assumptions
Assumptions
1. There is a single quantifiable objective, to maximise contribution.
In reality, there may be multiple objectives such as maximising return whilst minimising risk.
- Each unit always uses the same quantity of the scarce resource per unit. In reality, learning effects may be enjoyed.
- The contribution per unit is constant. In reality, the selling price may be lowered to sell more and discounts for buying in bulk.
- Products are independent. In reality, customers may expect to buy both products together and the products may be manufactured jointly together.
- The scenario is short term which allows us to ignore fixed costs.