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Limited Factor Analysis and Make or Buy Decisions

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When one resource – machine hours, labour hours or a material – is in short supply, it is a limiting factor. To make the most profit, rank the products by their contribution per unit of the limiting factor and make the best-ranked product first, up to its demand, then the next, until the resource runs out.

Decisions like this are made using relevant costs – the future cash flows that change because of the decision. The same technique solves make or buy decisions: when a resource is scarce, make the items that save the most (compared with buying them in) per unit of the scarce resource, and buy in the rest.

1 Introduction

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In this chapter we will look at how a business should decide what to produce when they have limited resources available. We will also look at how to apply the same technique to the making of decisions as to whether to make products ourselves or buy from others - again, when resources are limited.

2 Limiting factor analysis

In a situation where we are manufacturing several products, all of which use the same limited resource, then we need to decide on how best to use the limited resource in production.

A limiting factor (also called a key factor or scarce resource) is anything that stops a business making and selling as much as it would like – for example a shortage of machine hours, labour hours or a material. To check whether a resource is a limiting factor, work out how much of it would be needed to meet the maximum demand for every product, and compare that with the amount available.

The standard limiting factor (key factor) approach is to rank the products on the basis of the contribution earned per unit of the limiting factor.

Contribution is used, not profit, because the total fixed costs stay the same whatever mix of products is made – only the contribution changes. The steps are:

  1. Calculate the contribution per unit of each product (selling price less variable costs).

  2. Divide by the amount of the limiting factor each unit uses, to give the contribution per unit of the limiting factor (for example, per machine hour).

  3. Rank the products, highest contribution per unit of the limiting factor first.

  4. Make as many units of the first-ranked product as can be sold, then move to the next, until the limiting factor is used up.

  5. Total contribution less the (unchanged) fixed costs = maximum profit.

A ($ per unit)

B ($ per unit)

Selling price

25

28

Materials

8

20

Labour

5

2

Other variable costs

7

2

Fixed costs

3

2

Total cost

23

26

Profit

2

2

Machine hours per unit

2 hrs

1 hr

Maximum demand

20,000 units

10,000 units

The total hours available are 48,000.

Calculate the optimum production plan and the maximum profit using conventional limiting factor analysis

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Hours needed to meet demand: A 20,000 × 2 = 40,000 hours, plus B 10,000 × 1 = 10,000 hours, a total of 50,000 hours. Only 48,000 are available, so machine hours are the limiting factor.

A

B

Selling price ($)

25

28

Materials ($)

8

20

Labour and other variable costs ($)

12

4

Variable cost ($)

20

24

Contribution per unit ($)

5

4

Machine hours per unit

2

1

Contribution per machine hour ($)

2.50

4.00

Ranking

2nd

1st

Production plan – make B first, up to its demand, then use the hours left on A:

Units

Hours

B: 10,000 × 1 hr

10,000

10,000

A: 38,000 hours left ÷ 2 hrs

19,000

38,000

Total

48,000

Maximum profit

$

A: 19,000 × $5

95,000

B: 10,000 × $4

40,000

Total contribution

135,000

Less fixed costs (A 20,000 × $3 + B 10,000 × $2)

(80,000)

Profit

55,000

The fixed costs per unit were absorbed on the budgeted output, which was the full demand (20,000 A and 10,000 B), so the total fixed costs are $80,000 – and they do not fall just because fewer units of A are made. If a question gives the total fixed costs, simply deduct that figure.

Notice that A has the higher contribution per unit ($5 against $4), but B earns more for each scarce hour ($4 against $2.50): two hours could make one A ($5) or two Bs ($8).

3 Relevant and irrelevant costs

Limiting factor and make or buy decisions are short-term decisions. Costs are classified for decision-making as relevant or irrelevant.

A relevant cost is a future cash flow that will change as a direct result of the decision being made. Only relevant costs (and revenues) should be considered when making a decision. A cost that will be the same whatever is decided is irrelevant to the decision.

Cost

Relevant?

Why

Variable costs that change with the decision (materials, labour paid by the hour, variable overheads)

Relevant

Future cash that is spent only if the decision goes ahead

Fixed costs that stay the same in total

Irrelevant

Paid whatever is decided – this is why limiting factor analysis uses contribution, not profit

Fixed costs that can be avoided (for example a supervisor hired only for this work)

Relevant

The cash is saved if the decision does not go ahead

Sunk costs – money already spent (for example the original price of materials bought last year, or market research already paid for)

Irrelevant

Past cost: it cannot be changed by any decision now

Committed costs – future costs that cannot now be avoided (for example rent under a lease already signed)

Irrelevant

Will be paid whatever is decided

Depreciation and absorbed fixed overheads

Irrelevant

Not a future cash flow caused by the decision – just a share of costs already incurred or unchanged

Opportunity cost – the benefit given up by using a resource in this way rather than in its next best use

Relevant

It is a real future cost of the decision

For materials already held in inventory, the original purchase price is a sunk cost. If the material is in regular use, using it means it must be replaced, so its relevant cost is the current replacement cost. If it is not in regular use, its relevant cost is what it could otherwise be sold for (its opportunity cost).

A business is deciding whether to accept a one-off order. It would need: 100 kg of material M, in regular use, bought last month for $4 per kg and now costing $5 per kg; 50 hours of extra labour hired at $12 an hour; and the use of a machine whose depreciation is $300 a month. Factory rent is $2,000 a month.

Item

Relevant cost ($)

Reason

Material M: 100 kg × $5 (replacement cost)

500

In regular use, so it must be replaced; the $4 paid is sunk

Labour: 50 hours × $12

600

Extra cash paid only if the order is accepted

Machine depreciation

–

Not a cash flow caused by the order

Factory rent

–

Paid whatever is decided

Total relevant cost

1,100

The order is worth accepting if it brings in more than $1,100.

4 Make or Buy decisions

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In order to overcome problems of limited resources, a firm may buy in a product instead of making it itself.

Where incremental costs of manufacture are less than those of buying in, the firm should make – assuming that there are no limited resources.

The comparison uses relevant costs: the variable (incremental) cost of making, plus any fixed costs that would be avoided by buying in, against the price charged by the supplier. Fixed costs that will be paid anyway are irrelevant.

A company can make 5,000 components a year at a variable cost of $8 each. Making them also needs a supervisor costing $15,000 a year, who would not be needed if the components were bought in. A supplier will sell the components for $10 each. General factory overheads of $4 per component are absorbed but would not change.

Relevant cost of making = 5,000 × $8 + $15,000 = $55,000 ($11 per component). Cost of buying = 5,000 × $10 = $50,000. The absorbed overheads are irrelevant. Buy – it saves $5,000 a year.

Where resources are limited, the firm should concentrate on making those products which give the greatest saving (over buying in) per unit of the scarce resource.

To decide which products should be made and which should be bought, we calculate the saving per unit of scarce resource from making the product rather than buying it in.

The availability of Material B is limited to 8,000 kg

Product

X

Y

Z

Demand (units)

2,000

2,500

4,000

Variable cost to make ($ per unit)

10

12

14

Buy-in price ($ per unit)

13

17

16

Kg of B required per unit (included in variable cost)

3

2

1

How many units of each product should the company make and how many should it buy?

Show answerHide answer

Material B needed to make everything: (2,000 × 3) + (2,500 × 2) + (4,000 × 1) = 15,000 kg. Only 8,000 kg are available, so material B is the limiting factor.

X

Y

Z

Buy-in price ($)

13

17

16

Cost to make ($)

10

12

14

Saving per unit from making ($)

3

5

2

Kg of B per unit

3

2

1

Saving per kg of B ($)

1.00

2.50

2.00

Ranking

3rd

1st

2nd

Units

Material B (kg)

Y – make (all demand)

2,500

5,000

Z – make (3,000 kg left ÷ 1 kg)

3,000

3,000

Total material used

8,000

Z – buy (4,000 − 3,000)

1,000

X – buy (all demand)

2,000

Make 2,500 units of Y and 3,000 units of Z; buy 1,000 units of Z and all 2,000 units of X.

Near the end of the make or buy lecture the tutor says “third best, Y at $1” – he means X. Y is ranked first ($2.50 per kg) and X third ($1 per kg), as in Answer 2.

The figures are not the only consideration. Before deciding to buy in, a business should also consider:

  • the quality and reliability of the supplier – will deliveries be on time and to the right standard?

  • whether the supplier’s price will stay at this level in future

  • loss of control and confidentiality – a supplier may learn a valuable process or design

  • the effect on the workforce – buying in may mean redundancies and lower morale, and skills may be lost

  • whether the capacity freed by buying in can be used for something more profitable

5 Test your knowledge

Two quick checks before you move on: work through the flashcards to fix this chapter’s terms and definitions, then sit the objective questions for exam-style practice. Both mark themselves and explain the answers as you go.

Practice questions

Limited Factor Analysis and Make or Buy Decisions

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