There are many challenging P2 topics
that you will need to understand in order to successfully pass your P2 exam.
For example, Throughput Accounting
is a subject which many students find difficult to
grasp at first!
At Astranti we aim to make difficult subjects easy to
understand. All of our materials are designed to ensure that our students are
given in-depth knowledge of all the key subjects, but in a format that allows
you to learn easily and effectively.
As an example we'd like to share with
you a new and updated section of our P2 Study Text which explains Throughput
Accounting in a straight forward and clear way.
Throughput Accounting
Introducing Throughput Accounting
Throughput accounting (TA) is an accounting system that aims to maximise profit by focusing on maximising the efficiency of the bottleneck in the process.
It
is similar in concept to marginal costing; however it differs in that
it considers material
costs to be the only variable cost.
All other costs, including direct labour, are treated as fixed.
Therefore
TA identifies operating costs as either:
Variable
costs – Direct materials
Conversion
costs – All other operating costs,
such as labour, overheads, rent, utilities etc.
In
marginal costing you may remember the term contribution.
This was equal to the selling price of the product less all variable
costs. Throughput accounting employs the same equation, with the key
distinction that the only variable cost is material cost. This is
known as throughput
or throughput
contribution.
Throughput contribution = Sales revenue less material cost
The focus on making sales and removing bottlenecks
The
primary focus with throughput accounting is how fast a business can
generate throughput. A key indicator used to achieve this is the
return per time period, calculated as:
A manager with this as their target will focus on maximising sales, and hence sales revenue. Notice holding stock is not beneficial as it is under absorption costing. In an environment where stock holding should be kept to a minimum (e.g. to avoid obsolescence) then this measure is seen as a good one.
With
this goal in mind it no longer makes sense to operate the entire
factory at full capacity. Since units can only be produced as fast as
the bottleneck will allow, operating the other departments at full
capacity only results in a build-up of stock, which, as we’ve
already said is not rewarded. These items will lay around collecting
dust while waiting to be processed by the bottleneck. Picture an oven
that can bake 500 pies an hour working alongside a packaging
department that can only package 100. The result is 400 pies building
up every hour waiting to be packaged and unable to be sold. These
pies provide no benefit to the business other than to increase
storage costs and wastage.
The
manager will now focus on removing bottlenecks to maximise their
performance (and get paid their bonus). The focus turns to maximising
the efficiency of the bottleneck, while operating other departments
at a speed the bottleneck can keep up with.
In
our example, a throughput accounting approach would see us reduce our
baking of pies to 100 pies per hour and focus our attention on
increasing the efficiency of our packaging. Eventually we would aim
to improve the efficiency of our packaging operation to the point
that it surpasses our baking operation. Once this happens our new
bottleneck becomes the baking operation. We would then focus our
attention on how to bake more pies, and so our process continually
improves.
You
might find TA unique in that cost control is not the primary focus.
The emphasis is on throughput first, followed by inventory
minimisation, and cost control third.
We
can use the return per time period ratio we discussed above to ‘rank’
products
in order to determine which one makes best use of the bottleneck
resource. We can adjust the time period to whichever unit of time we
like. For example, if we wanted to calculate our return per minute,
the ratio would simply be:
Let’s
use an example to see this at work.
Example
We
produce two different toy cars – Car A and Car B. The information
for each product is as follows:
Car A
|
Car B
|
|
Direct material
|
£20
|
£20
|
Direct labour
|
£7
|
£12
|
Variable
overhead
|
£7
|
£12
|
Total cost
|
£34
|
£44
|
Selling price
|
£70
|
£65
|
Each
car is produced in two stages – the modelling stage and the testing
stage. The time required at each stage is as follows:
Minutes required
|
||
Process
|
Car A
|
Car B
|
Modelling
|
8
|
30
|
Testing
|
16
|
12
|
However,
our capacity is limited. Our modelling machines are available for 16
hours a day and our testing facility is available for 6 hours a day.
This gives us available time of 960 minutes and 360 minutes
respectively.
Time available
|
|
Modelling
|
16 hours = 960
minutes
|
Testing
|
6 hours = 360
minutes
|
We
want to plan our production in a way that will maximise our profits.
Our first step in doing this is finding out which process is our
constraining resource or ‘bottleneck’. To do this we work out how
many of each car we can process through each stage per day:
Modelling
|
Mins available
|
Mins required
|
Maximum units
|
Car A
|
960
|
8
|
120
|
Car B
|
960
|
30
|
32
|
Testing
|
Mins available
|
Mins required
|
Maximum units
|
Car A
|
360
|
16
|
22.5
|
Car B
|
360
|
12
|
30
|
This calculation shows that for both Car A and Car B we can model more cars per day than we can test. This means that our bottleneck lies in the testing stage.
Therefore
our issue is figuring out how
to best use the limited capacity of the testing facility – our
bottleneck resource.
Traditional approach
Under
a traditional approach, we would aim to work out which product will
maximise contribution.
You should recall that contribution is selling price less all
variable costs.
Car A
|
Car B
|
|
Selling price
|
£70
|
£65
|
Direct material
|
£20
|
£20
|
Direct labour
|
£7
|
£12
|
Variable
overhead
|
£7
|
£12
|
Contribution
|
£36
|
£21
|
Minutes of
testing required
|
16
|
12
|
Contribution per
minute
|
£2.25
|
£1.75
|
Under
this approach it appears that Car A provides the higher contribution
per minute, therefore our strategy would be to maximise the
production of Car A.
Throughput approach
The
idea under this approach is to maximise throughput. You should recall
that throughput is equal to selling price less variable costs, where
the only variable cost is materials. Therefore our calculation would
be:
Car A
|
Car B
|
|
Selling price
|
£70
|
£65
|
Direct material
|
£20
|
£20
|
Throughput
|
£50
|
£45
|
Minutes of
testing required
|
16
|
12
|
Throughput per
minute
|
£3.13
|
£3.75
|
Using
a throughput approach our strategy would therefore be to focus on
producing the maximum number of units of Car B, as Car B provides the
higher throughput per minute.
When to use throughput accounting
Throughput
accounting is useful where the focus is short term. This is because
the reality of modern manufacturing is that direct labour and other
overheads are in fact fixed in the short term. We pay our staff and
heating bills anyway even when the factory is not working or if the
production process is inefficient. Therefore throughput accounting is
best suited to a management team where overheads
and labour will be paid at the end of the day or week irrespective of
how many units are produced.
As
discussed earlier, it is also useful where directors want to focus
management attention on eliminating
a bottleneck or improving production flow
as the focus is on throughput.
It
is also useful in environments where the aim
is to minimise stock (E.g. where
products become obsolete quickly or are perishable). This is
preferable, for example, to absorption costing systems which actually
reward the build up.
It
is therefore important to understand that there is no ‘correct’
answer in the above example. The most suitable approach will depend
on the situation and the time horizon of management’s goals.
Throughput accounting ratio
In
the earlier example we explored options for maximising throughput
through our bottleneck resource. This provides value in the short
run, but it ignores the fact that we have other costs to consider,
namely labour and overheads. This is where the throughput accounting
ratio comes in.
The aim of any profit maximising business will be to attain as high a TA ratio as possible. A TA ratio less than 1 indicates that the throughput is not enough to cover labour and overhead costs. Therefore a product must have a TA ratio greater than 1 in order to be viable.
For
example, let’s say sales for our toy car were £10,000 with
material costs of £4,000. Throughput is therefore £6,000. If labour
and overheads are £3,000 the product is making a profit and the
ratio is more than 1 (i.e. 6,000/3,000 = 2). If labour and overheads
are £12,000 the product is loss making and the ratio is less than
1(actually 6,000/12,000 = 0.5).
Generally
speaking, priority
should be given to products that provide the highest TA ratios
therefore.
Remember
that cost control is not the primary focus of TA. It concerns itself
mainly with throughput maximisation and inventory minimisation. It
does not concern itself with optimising other costs as the belief is
that other costs are fixed anyway.
In
reality this assumption is often accurate. While labour is
traditionally thought of as variable you will find that in many
environments it is fixed in the short term. Firing or making workers
redundant cannot simply be done overnight – there are processes and
often costs associated with it that can take weeks or months to
resolve. By the time you deal with the fuss of it all it might end up
being cheaper to just keep your redundant workers on the payroll!
Therefore
the TA ratio is simply a measure to determine whether ‘fixed’
costs are being met. Throughput accounting does not aim to concern
itself with controlling or reducing these costs.
Astranti Financial Training.
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