|
Standards for Actual Input
|
|
| |
Standards for actual input can be segregated as
We use the material name as subscript for identifying each material separately and the word Mix to identify all the materials together. [SQA for standard quantity of material A, AQMix for total quantity of actual mix (all the materials together) etc.]
Where SQMix = AQMix, these figures can be obtained straight away from the available data by building up a working table.
|
Standard [Production: 2500 units] |
Actual [Production: 2,400 units] |
|
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
| Material A |
500 |
10 |
5,000 |
520 |
11 |
5,720 |
| Material B |
400 |
15 |
6,000 |
430 |
16 |
6,880 |
| Material C |
300 |
8 |
2,400 |
250 |
10 |
2,500 |
| Total
| 1,200 |
|
13,400 |
1,200 |
|
17,100 |
The standard is given for 1,200 units of input and the actual input is also 1,200 units.
Where are these figures used?
The standard quantity and cost for actual input are useful in identifying
- The variance in quantity of material used on account of the difference between the standard (mix) ratio and the actual (mix) ratio. This can be done by comparing the actual quantity of each material used with the standard quantity of that material. This difference valued at the standard rates/prices gives what is called the "Material Mix Variance"
Why Recalculate Standards
Standards may be expressed for any level of activity. We may be required to recalculate the standards for a level of activity other than the one given. This recalculation may be based on (a) the actual output where we obtain the Standard Quantity for Actual Output and Standard Cost for Actual Output or (b) the actual input where we obtain the Standard Quantity for Actual Input and Standard Output for Actual Input.
Where SQMix ≠ AQMix, we cannot obtain the variances by comparing the given data. In such a case we will have to recalculate the standards such that SQMix = AQMix so that we would be the able to derive variances by comparison.
|
Standard [Production: 9500 units] |
Actual [Production: 22,800 units] |
|
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
| Material A |
900 |
15 |
13,500 |
2,250 |
16 |
36,000 |
| Material B |
800 |
45 |
36,000 |
1,950 |
42 |
81,900 |
| Material C |
200 |
85 |
17,000 |
550 |
90 |
49,500 |
| Total
| 1,900 |
|
66,500 |
4,750 |
|
1,67,400 |
From the above data, is it appropriate to say that the production was achieved at a lesser cost since all the materials seem to be used in lesser quantities? or that the materials had been used efficiently? Surely not. Why?
Because the (total) materials actually consumed and the cost incurred is in relation to an input of 4,750 kgs whereas the budget/standard is in relation to a total input of 1,900 kgs.
|
|
Formula » Standard Quantity for Actual Input
|
|
| |
This has relevance only when two or more types of materials are being used in the production process. It indicates the quantity of each material that should have been present in the actual mix had the materials been taken in standard mix ratio.
Consider the following data arranged in a working table.
|
Standard [Production: 9500 units] |
Actual [Production: 22,800 units] |
|
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
| Material A |
900 |
15 |
13,500 |
2,250 |
16 |
36,000 |
| Material B |
800 |
45 |
36,000 |
1,950 |
42 |
81,900 |
| Material C |
200 |
85 |
17,000 |
550 |
90 |
49,500 |
| Total
| 1,900 |
|
66,500 |
4,750 |
|
1,67,400 |
Standard Quantity for Actual Input
The logic behind the calculation and the formula for deriving the required quantity
For Each Material Separately
Logic
If the Standard Quantity of Standard Mix is 1,900 kgs Standard Quantity of Material A is 900 kgs
If the Standard Quantity of Standard Mix is 4,750 kgs Standard Quantity of Material A would be ?
| Standard Quantity of a Material for Actual Input/Mix of 4,750 kgs |
| = |
| 4,750 kgs {Actual Quantity of Mix} | | 1,900 kgs {Standard Quantity of Mix} |
|
× 900 kgs {Standard Quantity of the Material in the Standard Mix} |
|
Using the data in the above example,
|
Standard Quantity for Actual Input [SQ for AI] for
| Material A |
= |
|
|
= |
2.5 × 900 kgs |
⇒ SQA for AI |
= |
2,250 kgs |
| Material B |
= |
|
|
= |
2.5 × 800 kgs |
⇒ SQB for AI |
= |
2,000 kgs |
| Material C |
= |
|
|
= |
2.5 × 200 kgs |
⇒ SQC for AI |
= |
500 kgs |
|
Total |
|
4,750 kgs |
|
-
For all Materials together
Calculating this for all the materials together doesn't carry any meaning.
Check
If the Standard Quantity of Standard Mix is 1,900 kgs Standard Mix is 1,900 kgs
If the Standard Quantity of Standard Mix is 4,750 kgs Standard Mix would be ??
| Standard Mix for Actual Mix of 4,750 kgs |
| = |
| 4,750 kgs {Actual Quantity of Mix} | | 1,900 kgs {Standard Quantity of Mix} |
|
× 1,900 kgs {Standard Quantity of Mix} |
|
| = |
4,750 kgs |
Using the data in the above example,
|
Standard Quantity for Actual Input [SQ for AI] for
| All Materials |
= |
AQMix |
⇒ SQMix for AI |
= |
AQMix |
= |
4,750 kgs |
|
|
|
Standard Cost of Standard Quantity for Actual Input [SC of SQ for AI]
|
|
| |
It indicates the cost of each material that should have been incurred had the materials been present in the actual mix in standard (mix) ratio and have been valued at the standard rates.
Consider the following data arranged in a working table.
|
Standard [Production: 9500 units] |
Actual [Production: 22,800 units] |
|
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
| Material A |
900 |
15 |
13,500 |
2,250 |
16 |
36,000 |
| Material B |
800 |
45 |
36,000 |
1,950 |
42 |
81,900 |
| Material C |
200 |
85 |
17,000 |
550 |
90 |
49,500 |
| Total
| 1,900 |
|
66,500 |
4,750 |
|
1,67,400 |
For Each Material Separately
Standard Cost of Standard Quantity for Actual Input = Standard Quantity for Actual Input × Standard Price.
| ⇒ SC of SQMat for AI |
= |
SQMat for AI × SPMat
|
| (Or) |
= |
|
| (Or) |
= |
|
Using the data in the above example,
|
Standard Cost of Standard Quantity for Actual Input [SC of SQ for AI] for
| Material A |
= |
|
|
= |
2.5 × Rs. 13,500 |
⇒ SC of SQA for AI |
= |
Rs. 33,750 |
| Material B |
= |
|
|
= |
2.5 × Rs. 36,000 |
⇒ SC of SQB for AI |
= |
Rs. 90,000 |
| Material C |
= |
|
|
= |
2.5 × Rs. 17,000 |
⇒ SC of SQC for AI |
= |
Rs. 42,500 |
|
Total |
|
Rs. 1,66,250 |
|
For All Materials Together
Standard Cost of Standard Quantity for Actual Input = Standard Quantity for Actual Input × Standard Price.
| ⇒ SC of SQMix for AI |
= |
SQMix for AI × SPMix
|
| (Or) |
= |
AQMix × SPMix
|
Using the data in the above example,
|
Standard Cost of Standard Quantity for Actual Input [SC of SQ for AI] for
| All Materials |
= |
AQMix × SPMix |
| ⇒ SC of SQMix for AI |
= |
4,750 kgs × Rs. 35/kg |
|
= |
Rs. 1,66,250 |
|
| Standard Price of Mix |
= |
| Standard Cost of Mix | | Standard Quantity of Mix |
|
|
Using the data in the above example,
|
|
Standard Output/Yield for Actual Input [SO/SY for AI]
|
|
| |
Yield and Output are synonymously used. Standard Output/Yield indicates the output that should have been achieved had the production been normal.
Consider the following data arranged in a working table.
|
Standard [Production: 9500 units] |
Actual [Production: 22,800 units] |
|
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
| Material A |
900 |
15 |
13,500 |
2,250 |
16 |
36,000 |
| Material B |
800 |
45 |
36,000 |
1,950 |
42 |
81,900 |
| Material C |
200 |
85 |
17,000 |
550 |
90 |
49,500 |
| Total
| 1,900 |
|
66,500 |
4,750 |
|
1,67,400 |
For Each Material Separately
As per standards, if the Quantity of Material A is 900 kgs Output is 9,500 units
If the Quantity of Material A is 2,250 kgs (actual used) Output should have been ?
Standard Output/Yield for Actual Input (of Material A)
| = |
| 2,250 kgs {Actual Quantity} | | 900 kgs {Standard Quantity} |
|
× 9,500 units {Standard Output} |
|
Using the data in the above example,
|
Standard Output/Yield for Actual Input of
| Material A |
= |
|
|
= |
2.5 × 9,500 units |
⇒ SO for AIA |
= |
|
| Material B |
= |
|
|
= |
2.4375 × 9,500 units |
⇒ SO for AIB |
= |
|
| Material C |
= |
|
|
= |
2.75 × 9,500 units |
⇒ SO for AIC |
= |
|
|
For All Materials Together
As per standards, if the Quantity of Mix is 1,900 kgs Output is 9,500 units
If the Quantity of Mix (actual input) is 4,750 kgs Output should have been ?
Standard Output/Yield for Actual Input (of Mix)
| = |
| 4,750 kgs {Actual Mix} | | 1,900 kgs {Standard Mix} |
|
× 9,500 units {Standard Output} |
|
Using the data in the above example,
|
Standard Output/Yield for Actual Input of
| Material Mix |
= |
|
⇒ SO for AIMix |
= |
2.5 × 9,500 units |
= |
|
|
Note
The standard output for the actual mix is not equal to the sum of the Standard Outputs for each material separately.
|
The given data with the recalculated standards would be.
|
Standard [Production: 23,750 units] |
Actual [Production: 22,800 units] |
|
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
Quantity (kgs) |
Price Rs/kg |
Value/Cost (Rs) |
| Material A |
2,250 |
15 |
33,750 |
2,250 |
16 |
36,000 |
| Material B |
2,000 |
45 |
90,000 |
1,950 |
42 |
81,900 |
| Material C |
500 |
85 |
42,500 |
550 |
90 |
49,500 |
| Total
| 4,750 |
|
1,66,250 |
4,750 |
|
1,67,400 |
By recalculating the standards for actual input we would make the Quantity of Standard Mix SQMix and the Actual Mix AQMix in the recalculated data to be the same.
|
Standards » For Actual Output vs. For Actual Input
|
|
| |
In the recalculated figures, where you recalculate standards for the actual output, the standard output and the actual output would be the same
| The factor used for incorporating the change is |
|
In the recalculated figures, where you recalculate standards for the actual input, the standard input (mix) and the actual input (mix) would be the same
| The factor used for incorporating the change is |
|
You may not need to recalculate standards !!!
In solving problems, we can make use of formulae which would enable us to calculate all the material variances without recalculating the standards, by incorporating the above mentioned adjustment factors in the formulae itself.
All the formula that we use and advocate are those which have this adjustment factor built into it thus enabling you to use the same set of formulae in all situations.
|
|
|