The standard cost per
unit is presented in the following table.
Standard Cost Per Unit of Finished Goods
|
Standard
Cost of material
|
11.7
|
Standard
Cost of Labor
|
37.5
|
Variable
Overhead
|
0.9
|
Fixed
Overhead
|
5
|
Total Cost Per Unit
|
55.1
|
According to given
case scenario, standard cost of material required for one product is 11.7.
While variable overhead based on skilled labor rate per hour is 0.9 calculated
as:
![](data:image/png;base64,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)
Determining Selling
Price of Product:
Following the
company’s policy of 20% mark-up, the products can be offered on RO 70. At this
selling price, company would be able to cover all its overhead costs and direct
cost to produce a profit of 20% on each product unit. See the following table
for further details:
Selling
price
|
70
|
Total
Cost
|
55.1
|
Mark
Up
|
20%
|
Profit
|
14. 9
|
Calculated
Mark Up
|
21%
|
Thus
selling price
|
|
Selling
Price
|
70
|
Case Study 2
The Management of the
company appointed you as a consultant to carry out the analysis and submit a
report on Variance Analysis of the company for the year 2019. The report should
include the following :
(a)
Material
Cost Variances
To calculate material cost variance the standard per unit
material price and actual per unit price are calculated. (see the following
tables)
Standard Per Unit Materials
|
Materials
|
Quantity
|
Std Price / kg
|
Total Material Price
|
Per Unit
|
L
|
15
|
24
|
360
|
3.6
|
M
|
20
|
18
|
360
|
3.6
|
N
|
30
|
15
|
450
|
4.5
|
|
65
|
57
|
1170
|
11.7
|
Per Unit Material Price
|
|
|
1170
|
11.7
|
Actual Per Unit Price
|
|
Materials
|
Quantity
|
Material Price
|
Per unit
|
L
|
1360
|
36720
|
4.59
|
M
|
1400
|
29400
|
3.675
|
N
|
2700
|
35100
|
4.3875
|
Per Unit Actual Price
|
|
12.6525
|
|
|
|
|
|
![](data:image/png;base64,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)
(b) Labour Cost variances
Now calculating the standard labour rate per unit and actual
labour rate per unit for labour cost variance.
Standard Labour Rate Per Unit
|
Type
|
Hours
|
Rate
|
Number of Workers
|
Total Cost
|
Per Unit
|
Skilled
|
3
|
25
|
2
|
150
|
15
|
Semi Skilled
|
3
|
15
|
4
|
180
|
18
|
Unskilled
|
3
|
5
|
3
|
45
|
4.5
|
Rate Per Unit
|
|
|
|
|
37.5
|
Actual Labour Rate Per Unit
|
Type
|
Hours
|
Rate
|
Number of Workers
|
Total Cost
|
Per Unit
|
Skilled
|
2700
|
30
|
2
|
162000
|
20.25
|
Semi Skilled
|
2700
|
12
|
5
|
162000
|
20.25
|
Unskilled
|
2700
|
6
|
2
|
32400
|
4.05
|
Rate Per Unit
|
|
|
|
|
44.55
|
![](data:image/png;base64,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)
(c)
Overhead
Variances
![](data:image/png;base64,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)
Case Study 3
a) Prepare Process Q account and calculate the total cost of
producing the product.
Process Q Account
|
|
Units
|
RO
|
|
Units
|
RO
|
Transferred From P process
|
5000
|
175000
|
|
|
|
Direct Material
|
|
16100
|
Finished WIP
|
500
|
|
Labor
|
|
22725
|
Materials
|
|
1288
|
Overhead
|
|
14790
|
Labor
|
|
1136.25
|
Total
|
|
228615
|
Overhead
|
|
887.4
|
WIP
|
|
|
Previous
|
|
36303
|
Opening Stock
|
1000
|
7000
|
Total
|
|
39614.7
|
Materials
|
|
4000
|
Transferred Goods
|
|
Labor
|
|
1500
|
|
5000
|
175000
|
Overhead
|
|
1500
|
|
|
|
Total
|
|
14000
|
|
|
|
Total
|
|
214615
|
|
|
214615
|
Thus
the total cost is 214615 for the production and processing of goods to produce
final products in the selected time duration.
b)
Estimate
the selling price of the final product as per the company’s policy and prepare
a brief report on the production process to the Management.
·
Selling
Price:
According
to the company's policy, at least a 20% profit margin is required between the
selling price and overall cost of production. Thus, the selling price for the
finished goods would be the following:
![](data:image/png;base64,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)
The per
unit selling price can be calculated by dividing this determining selling price
by the total number of units.
·
Report
on Production Process:
The
production process of the company is quite slow therefore the company had a
greater ratio of work in process inventory. Analysis and process account
development suggest that the company's management need to pay attention to
material utilization and labour performance. A greater percentage of incomplete
inventory was representing the failure of labour to work on those goods. For instance,
in opening stock of work in process products units were 100% complete as to
materials while labour work was only completed by 70%. Thus, such a situation
indicate inefficiency of labour to complete work within the allocated time
duration.
Case Study 4
1.
Meanwhile,
the Management of the company appointed you as a consultant to estimate the
total cost of the four products under each method of distributing the joint
cost.
Average
Cost Method:
Method 1
|
Average Cost Method
|
|
Units
|
Sales
|
Profit
|
Cost
|
Average Cost
|
Apportioned Cost
|
Azithromycin
|
1500
|
30000
|
5250
|
24750
|
15.9123
|
23868.46154
|
Clarithromycin
|
2000
|
48000
|
6000
|
42000
|
15.9123
|
31824.6
|
Levofloxacin
|
1600
|
25600
|
3200
|
22400
|
15.9123
|
25459.68
|
Moxifloxacin
|
1400
|
16800
|
2520
|
14280
|
15.9123
|
22277.22
|
|
6500
|
120400
|
16970
|
103430
|
|
103429.9615
|
Physical
unit method:
|
Method 2
|
|
Physical Unit Method
|
|
Units
|
Weight (decimal)
|
Weight %
|
Allocated Cost
|
Azithromycin
|
1500
|
0.23077
|
23%
|
23868.46154
|
Clarithromycin
|
2000
|
0.30769
|
31%
|
31824.61538
|
Levofloxacin
|
1600
|
0.24615
|
25%
|
25459.69231
|
Moxifloxacin
|
1400
|
0.21538
|
22%
|
22277.23077
|
|
|
|
|
103430
|
|
|
|
|
|
|
Survey
method:
The
points used in the survey method are
1,2,2,1 for all four products.
Method 3
|
Survey Method
|
Products
|
Units
|
Points
|
Weighted Units
|
Ratio
|
Cost Per WU
|
Apportioned Cost
|
Cost Per Unit
|
Azithromycin
|
1500
|
1
|
1500
|
15
|
3.844981413
|
5767.472119
|
3.844981413
|
Clarithromycin
|
2000
|
2
|
4000
|
40
|
3.844981413
|
15379.92565
|
7.689962825
|
Levofloxacin
|
1600
|
2
|
3200
|
32
|
3.844981413
|
12303.94052
|
7.689962825
|
Moxifloxacin
|
1400
|
1
|
1400
|
14
|
3.844981413
|
5382.973978
|
3.844981413
|
|
|
|
10100
|
|
|
38834.31227
|
|
Sales
Value Method:
Method 4
|
Sales Value Method
|
Products
|
Cost
|
Selling price
|
Production Quantity
|
Total
|
Joint Cost Allocated
|
Azithromycin
|
24750
|
20
|
1500
|
30000
|
25771.59468
|
Clarithromycin
|
42000
|
24
|
2000
|
48000
|
41234.5515
|
Levofloxacin
|
22400
|
16
|
1600
|
25600
|
21991.7608
|
Moxifloxacin
|
14280
|
12
|
1400
|
16800
|
14432.09302
|
Total Joint Cost Allocated
|
|
120400
|
|
120400
|
103430
|
Net Realizable Value
method:
Method 5
|
|
Net Realisable Value Method
|
|
|
|
|
|
Product
|
Price
|
Separable Cost
|
Quantity
|
Estimated Sales
|
NRV
|
Joint Cost Allocated
|
|
|
Azithromycin
|
20
|
4750
|
1500
|
30000
|
25250
|
26932.12
|
|
|
Clarithromycin
|
24
|
9000
|
2000
|
48000
|
39000
|
41598.12
|
|
|
Levofloxacin
|
16
|
5400
|
1600
|
25600
|
20200
|
21545.69
|
|
|
Moxifloxacin
|
12
|
4280
|
1400
|
16800
|
12520
|
13354.06
|
|
|
|
|
|
|
|
96970
|
103430.00
|
|
|
2.
Also,
advise the management of the company which method is best suitable.
Following the above
analysis and literature review, it can be said that the most appropriate and
suitable method for cost calculation is the physical unit method and survey
based method. The survey based cost allocation method is a suitable option when
managers have to plan about future business operations as it enables them to
use genius guess and their experience. However, the physical unit method is
also appropriate because it does not require rough estimation from average cost.
Case Study 5
a) Analyse the profitability of each job in the month of April
2020 by preparing T accounts.
The
following t-accounts are developed for four major jobs included in the business
operations of the company. At the end of each t-account, a statement of profit
and loss is attached which will be used for profitability analysis.
Job:
1
Job 1
|
Revenue
|
|
425
|
Bal: 425
|
|
|
|
Factory Overhead
|
|
64.977
|
|
@
19.69% of the total overhead.
|
Bal: 64.98
|
|
|
|
Cost of Goods Sold
|
|
Raw Material: 260
|
|
Labor : 135 [9 x 15 =135]
|
Bal: 395
|
|
|
|
Revenue
|
425
|
Less:
|
|
Direct Material
|
260
|
Direct Labor
|
135
|
Overhead
|
64.98
|
Total Expense
|
459.98
|
Profit
|
-34.98
|
Job:
2
Job 2
|
Revenue
|
|
600
|
Bal: 600
|
|
|
|
Factory Overhead
|
|
77.5
|
|
@ 23.48% of total
overhead.
|
Bal: 77.5
|
|
|
|
Cost of Goods Sold
|
|
Raw Material: 310
|
|
Labor : 165 [11 x 15 =165]
|
Bal: 475
|
|
|
|
Revenue
|
600
|
Less:
|
|
Direct Material
|
310
|
Direct Labor
|
165
|
Overhead
|
77.5
|
Total Expense
|
552.5
|
Profit
|
47.5
|
Job:
3
Job 3
|
Revenue
|
|
525
|
Bal: 525
|
|
|
|
Factory Overhead
|
|
87.5
|
|
@ 26.51% of total overhead.
|
Bal: 87.5
|
|
|
|
Cost of Goods Sold
|
|
Raw Material: 350
|
|
Labor : 180 [12 x 15 =180]
|
Bal: 530
|
|
|
|
Revenue
|
525
|
Less:
|
|
Direct Material
|
350
|
Direct Labor
|
180
|
Overhead
|
87.5
|
Total Expense
|
617.5
|
Profit
|
-92.5
|
Job:
4
Job 4
|
Revenue
|
|
700
|
Bal: 700
|
|
|
|
Factory Overhead
|
|
100
|
|
@ 30% of the total overhead.
|
Bal: 100
|
|
|
|
Cost of Goods Sold
|
|
Raw Material: 400
|
|
Labor : 195 [13 x 15 =195]
|
Bal: 595
|
|
|
|
Revenue
|
700
|
Less:
|
|
Direct Material
|
400
|
Direct Labor
|
195
|
Overhead
|
100
|
Total Expense
|
695
|
Profit
|
5
|
Considering the above
t-accounts and profit analysis table, it is clear that only job 2 is producing
a profit. While the job 1 and 3 are totally in the loss.
b)
Advise
the firm, how much price should be charged to each job in the next month
assuming the material costs are expected to increase by 10% and assuming the
firm needs a mark-up of 20%. (Round off the Job price to the nearest hundreds)
In
case, material cost increases by 10%, the company would have more challenges
and difficulties to generate profit by covering all cost and expenditures. It
would increase the total direct material cost for all jobs. In such a
situation, achieving the targeted mark-up of 20% is more challenging. Although,
the company can achieve this target for job 1 if the company generate at least 50%
additional sales revenue. A 30% increase in revenue is required for job 2.
Somehow, job 3 will hardly meet this target of 20% profit if sales are
increased by at least 60%. The job 4 requires 40% more sales revenue to meet
this target of 20% profit.
Increase in Cost and 20% Profit Mark up
|
|
Job 1
|
Job 2
|
Job 3
|
Job 4
|
Revenue
|
638
|
780
|
840
|
980
|
Less:
|
|
|
|
|
Direct Material
|
286
|
341
|
385
|
440
|
Direct Labor
|
135
|
165
|
180
|
195
|
Overhead
|
65
|
78
|
88
|
100
|
Total Expense
|
486
|
584
|
653
|
735
|
Profit
|
152
|
197
|
188
|
245
|
Rounded up
|
150
|
200
|
200
|
250
|
|
24%
|
25%
|
22%
|
25%
|
c)
Prepare
a report to assist the owners of the business to make a decision.
Profitability
analysis of four jobs in Al Wathba Services indicates inefficient business
management and planning. Current business operations are not enough profit for
the company. From 4 jobs only two jobs are capable to meet the basic cost and
expenses for the relevant month. While expecting an increase in cost and
expenses will also generate a negative impact on the business outcomes. In such
a situation, business need changes. Improvement in employee performance and
resources utilization efficiency are required to control increasing cost and
expand profit margin. Although, an increase in sales revenue is also required
to cover the cost and generate profit.