Materials - Revising Standards
Revising the Standards
Say for example, the organisation has planned to manufacture a product using materials X, Y and Z in equal proportions i.e. in the ratio, 1 : 1 : 1.
Subsequently it is identified that Material X has become scarce and is in short supply and that it would be difficult or costly to obtain Material X to the extent needed at a reasonable price. To overcome this situation, the production plan has been changed to manufacture the product using X, Y and Z in the ratio 1 : 2 : 2.
Actual production has been carried on using the revised plan.
Initial Standard data
Standard | Actual | |||||
---|---|---|---|---|---|---|
for SO | ||||||
SQ | SP | SC | AQ | AP | AC | |
Material X Material Y Material Z | 500 500 500 | 10 40 30 | 5,000 20,000 15,000 | 350 600 550 | 10 40 30 | 3,500 24,000 16,500 |
Total | 1,500 | 40,000 | 1,500 | 44,000 | ||
Output | 10 SO | 10 AO |
Output (_O) is in units, Quantities (_Q) are in kgs, Prices (_P) are in monetary value per unit quantity and Costs (_C) are in monetary values.
Since the actual production (10 units) and the standard production (10 units) are the same, the data can be straight away used for comparing and evaluating variances in quantity and cost.
The data gives us the idea that there is variance in
- material quantity
Standard Actual Material X
Material Y
Material Z500
500
500350
600
550Total 1,500 1,500 - material cost
Standard Actual Material X
Material Y
Material Z5,000
20,000
15,0003,500
24,000
16,500Total 40,000 44,000
The conclusion is erroneous because the data does not take into consideration the revision in standard that has been made.
Revised Standard data
Had the revision been considered, the materials X, Y and Z as per the standard should have been 300 kgs, 600 kgs and 600 kgs respectively of a total material of 1,500 kgs. The standard data should be revised to incorporate this change and the revised data should be used for comparison with the actual data.
Data with the revised standard would be:
Standard | Actual | |||||
---|---|---|---|---|---|---|
for SO | ||||||
SQ | SP | SC | AQ | AP | AC | |
Material X Material Y Material Z | 300 600 600 | 10 40 30 | 3,000 24,000 18,000 | 350 600 550 | 10 40 30 | 3,500 24,000 16,500 |
Total | 1,500 | 45,000 | 1,500 | 44,000 | ||
Output | 10 units SO | 10 units AO |
Output (_O) is in units, Quantities (_Q) are in kgs, Prices (_P) are in monetary value per unit quantity and Costs (_C) are in monetary values.
On considering the revised standards we can see that the production was actually carried on with efficiency with regard to overall cost. The cost incurred being 1,000 less ( 45,000 − 44,000) than the standard cost.
- material quantity
Standard Actual Material X
Material Y
Material Z300
600
600350
600
550Total 1,500 1,500 - material cost
Standard Actual Material X
Material Y
Material Z3,000
24,000
18,0003,500
24,000
16,500Total 45,000 44,000
Where does this count?
Here, the actual data compared with the unrevised standard indicates that the cost incurred is more than the standard to the extent of 4,000 whereas there was a saving in cost to the extent of 1,000. This is revealed only when the revised standard has been used for finding out the variances.
Taking another case where the organisation has fixed the standard price for purchasing materials at 125 per unit. The market conditions have changed and it is imperative that the organisation has to make purchases under the revised conditions where the material would cost 150 per kg. In such a situation it would be appropriate to revise the standard price to reflect the current market price of materials so that effective comparisons can be made.
Recalculating Standards vs Revising Standards
In recalculating the standard, we are neither changing the quantity of material per unit nor the price of material per unit. We are only obtaining the data or values for a production level other than the one that is given in the standard.
In majority of the cases in solving problems what the student needs is the recalculated standard and not a revised standard.
We need to revise the standard when there is information relating to the revision. The values relating to the revised standard are the ones to be used as representing the standard data.