Short Term Decision Making
1 Introduction
The previous chapter looked at the importance of contribution when working out break even points and deciding what quantities had to be made and sold to make target profits. This chapter looks at other decisions that contribution analysis can be used for. It also introduces the concept of relevant costs.
2 Limiting factors
Limiting factors are also sometimes known as key factors or restricted resources.
A limiting factor is whatever restricts an organisation’s activities. It could be a limitation on the amount of materials, labour or machine time available. It might be that no more units can be sold because all demand has been met. Occasionally, there might be production quotas restricting output.
Usually in questions the limiting factor is whatever first prevents more profits being made.
Look at this example:
Product A | Product B | ||
Maximum demand | 12,000 units | 10,000 units | |
$ | $ | ||
Selling price | 30 | 40 | |
Material | 10 | 16 | |
Labour | 8 | 8 | |
Variable overhead | 6 | 8 | |
Fixed overhead | 4 | 5 | |
Total absorption cost | 28 | 37 | |
Profit | 2 | 3 |
Both products use the same material, of which there is only $200,000 available
Step 1 – identify the limiting factor
Here, if the maximum units demanded were made, the material needed would be;
12,000 x 10 + 10,000 x 16 = $280,000.
Only $200,000 is available, so material is a limiting factor.
Step 2 – calculate the contribution per unit of limiting factor used
We have identified material as the limiting factor. This means that material is particularly precious and we have to take care when deciding how to use it: each unit of material be used in the way that will earn most.
As in all decision-making, profits are usually irrelevant (because the fixed costs are fixed) and what we need to concentrate on are the contributions.
Product A | Product B | ||
Maximum demand | 12,000 units | 10,000 units | |
$ | $ | ||
Selling price | 30 | 40 | |
Material | 10 | 16 | |
Labour | 8 | 8 | |
Variable overhead | 6 | 8 | |
Marginal cost | 24 | 32 | |
Contribution | 6 | 8 |
So, every unit of Product A made and sold makes the company $6 richer and every unit of Product B made and sold makes the company $8 richer.
However, this does not mean that Product B should be made in preference to Product A. Different amounts of material are needed for each and we need to make sure that each precious unit of material is used wherever it earns most. That can be found by working out:
Contribution per unit/Material needed per unit
or more generally:
Contribution per unit of limiting resource
The higher this is the better: it gives an earning rate per unit of the restricted resources used
Product A | Product B | ||
Maximum demand | 12,000 units | 10,000 units | |
$ | $ | ||
Material | 10 | 16 | |
Contribution | 6 | 8 | |
Contribution/$ of material needed | 6/10 = 0.6 | 8/16 = 0.5 | |
Ranking | 1 | 2 |
Therefore, make Product A in preference, then turn to Product B and make as much of that as possible with any material left.
Step 3 – calculate the production plan
The production plan would be:
Material used $ | Units made | Contribution made | |||
Product A | 120,000 | @ $10/unit | 12,000 | 72,000 | |
Product B | 80,000 | @ $16/unit | 5,000 | 40,000 | |
Maximum material | 200,000 | Total contribution | 112,000 | ||
Fixed costs | (98,000) | ||||
Profit | 14,000 |
Note: the fixed costs are based on the absorption rates in the original budget.
Material available = 1200 kgs
Product A: contribution/unit = $24; uses 10 kg/unit; maximum demand = 80 units
Product B: contribution/unit = $15; uses 5 kg/unit; maximum demand = 200 units
What is the production plan that would maximise contribution and what is that contribution?
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Product R | Product S | |
Selling price per unit | $60 | $32 |
Variable cost per unit | $45 | $20 |
Material used per unit | 6 kgs | 3 kgs |
Maximum demand | 500 | 1,200 |
3 Limiting factors with make-buy decisions
If production capacity is limited then it is sometimes possible to buy in some of what’s needed so that higher sales levels can be achieved. For example:
Material available = 1200 kgs
Product A: manufacturing cost/unit = $20; buy-in cost /unit = $25; uses material at the rate of 10 kg/unit; maximum demand = 80 units
Product B: manufacturing cost/unit = $25; buy-in cost = $35; uses material at the rate of 5 kg/unit; maximum demand = 200 units
Step 1 identify the limiting factor
If maximum demand for each product were manufactured then the material used would be:
80 x 10 + 200 x 5 = 1,800 kgs.
As only 1,200 are available, material is a limiting resource.
Step 2 identify which product should be bought in by calculating the extra cost of buying over making per unit of scarce resource
Product A: buying for $25 rather than making for $20 costs $5 per unit
Product B: buying for $35 rather than making for $25 costs $10 per unit.
However, buying a unit of A instead of making it saves 10kg material
and buying a unit of B instead of making it saves 5kg material
Additional cost per kg of material saved:
Product A: 5/10 = 0.5 Product B: $10/5 = 2.0
Therefore, make Product B in preference as that is a much more expensive way of saving material.
Step 3 The production plan
The production plan would be:
Material used | Units made | Costs | ||
Product B | 1,000 | @ 5 kgs/unit | 200 | 5,000 |
Product A | 200 | @ 10 kgs/unit | 20 | 400 |
Maximum material | 1,200 | |||
Product A to be bought in | ||||
Product A to be bought in | 60 | 1,500 | ||
Total costs | 6,900 |
The availability of Material M is limited to 32,000 kg
Product | Azed | Byoz |
Demand (units) | 5,000 | 7,000 |
Variable cost to make ($ per unit) | 22 | 30 |
Buy-in price ($ per unit) | 38 | 34 |
Kg of M required per unit | 4 | 2 |
Calculate how much of each product should be made and how much should be bought in.
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Product | Unit contribution | Maximum demand | Machine hours per unit |
P | 18 | 500 | 6 |
Q | 48 | 250 | 12 |
4 Discontinuing operations
Sometimes a company might want to look at the effect of discontinuing a product or a whole division. What it must compare is the revenue lost and the costs saved from the closure.
Trio Ltd operates three divisions. The latest profit statements and is concerned that division Gamma is making a loss.
Advise Gamma whether or not to close down division C.
Division | Alpha | Beta | Gamma |
(000s) | (000s) | (000s) | |
Sales | 150 | 120 | 60 |
Variable costs | 90 | 75 | 45 |
Fixed costs | 30 | 30 | 20 |
Profit/(loss) | 30 | 15 | (5) |
You are also informed that 50% of the fixed costs are division specific. The rest of the fixed costs are allocated arbitrarily to the divisions from head office.
Should division Gamma be shut down?
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Product A | Product B | |
Sales revenue | 200,000 | 300,000 |
Variable costs | 170,000 | 150,000 |
Divisional fixed costs | 100,000 | 100,000 |
Profit | (70,000) | 50,000 |
5 Relevant costs
The costs relevant to decision making are those which are:
Affected by the decision. Therefore they are future incremental costs.
Cash flows
Some examples should make these points clear.
A company will make a new product that takes 2,000 kg of material. 1,200 kg is already in inventory, bought some time ago for $3,600 and with a sales value of $1,600.
The current purchase price of the material is $1.20/kg.
The company has no use for this material other than making the new product, which uses 2kg/unit.
Market research of $1,500 has already been carried out and this indicates that the product would sell for $4/unit. Fixed costs of $4,000 will be apportioned to the new product.
Should production commence?
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Material | Quantity needed | Original cost | Current purchase price | Sale price |
G | 6 | 3.00 | 4.00 | 2.00 |
H | 9 | 2.00 | 3.50 | 0.60 |
Short Term Decision Making
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