Calculation of normal profit |
||||
Particular |
Unit |
Price/unit |
Amount ($) |
|
sales |
20000 |
130 |
26,00,000 |
|
Less: |
Variable manufacturing cost |
20000 |
50 |
10,00,000 |
Less: |
Variable selling & distribution cost |
20000 |
30 |
6,00,000 |
Contribution |
10,00,000 |
|||
Less: |
Fixed manufacturing cost |
4,00,000 |
||
Less: |
Fixed administrative cost |
3,00,000 |
||
Profit |
3,00,000 |
Proposal A |
Calculation of profit under proposal 1 |
|||
Particular |
Unit |
Price/unit |
Amount ($) |
|
Sales |
20000 |
140 |
28,00,000 |
|
Less: |
Variable manufacturing cost |
20000 |
50 |
10,00,000 |
Less: |
Variable selling & distribution cost |
20000 |
30 |
6,00,000 |
Contribution |
12,00,000 |
|||
Less: |
Fixed manufacturing cost |
4,00,000 |
||
Less: |
Fixed administrative cost |
3,00,000 |
||
Less: |
Advertisement cost |
125000 |
||
Profit |
3,75,000 |
Proposal B |
Calculation of profit under proposal 2 |
|||
Particular |
Unit |
Price/unit |
Amount ($) |
|
Sales |
25000 |
130 |
32,50,000 |
|
Less: |
Variable manufacturing cost |
25000 |
55 |
13,75,000 |
Less: |
Variable selling & distribution cost |
25000 |
35 |
8,75,000 |
Contribution |
10,00,000 |
|||
Less: |
Fixed manufacturing cost |
4,00,000 |
||
Less: |
Fixed administrative cost |
3,00,000 |
||
Less: |
Advertisement cost |
50,000 |
||
Profit |
2,50,000 |
Proposal C |
Calculation of profit under proposal 3 |
|||
Normal Profit for 3 month (with advertisement campaign) |
||||
Particular |
Unit |
Price/unit |
Amount ($) |
|
Sales |
10000 |
120 |
12,00,000 |
|
Less: |
Variable manufacturing cost |
10000 |
50 |
5,00,000 |
Less: |
Variable selling & distribution cost |
10000 |
30 |
3,00,000 |
Contribution |
4,00,000 |
|||
Less: |
Fixed manufacturing cost |
1,00,000 |
||
Less: |
Fixed administrative cost |
75,000 |
||
Less: |
Advertisement cost |
40,000 |
||
Profit |
1,85,000 |
|||
Normal Profit for next 9 month |
||||
Sales unit during the year |
20000 |
|||
Normal sales during the campaign period |
6000 |
|||
there for remaining sales unit during the next 9 month is |
14000 |
|||
Calculation of profit for remaining period sales |
||||
Particular |
Unit |
Price/unit |
Amount ($) |
|
Sales |
14000 |
130 |
18,20,000 |
|
Less: |
Variable manufacturing cost |
14000 |
50 |
7,00,000 |
Less: |
Variable selling & distribution cost |
14000 |
30 |
4,20,000 |
Contribution |
7,00,000 |
|||
Less: |
Fixed manufacturing cost |
3,00,000 |
||
Less: |
Fixed administrative cost |
2,25,000 |
||
Profit |
1,75,000 |
|||
Total profit under these proposal is |
3,60,000 |
A report hereunder is presented that shows a brief analysis of the given three proposals.
The company presently has three proposals, to increase the overall sales and revenue. The fixed costs are same in all the proposals, there are changes in the sales volume and the sale price respectively. Analysis is done to ascertain what are the quantitative strength and weakness of all the proposals. In addition, how they are fruitful for the organisation. The various concepts of decision-making and relevant cost are taken into consideration for the analysis of the proposals.
After calculating the quantitative figures in all the cases, we can say that proposal 1 is most profitable and proposal 2 is the least profitable. In case of proposal 1, the sale volume is not dropping and also the sale price per unit is increasing. (Charlton et al. 2017) These are the strength that is associated with this proposal. If we analyse rationally, since the advertisement cost is increasing, the overall profit that the company will earn will be more or less same like before. Because with every increase in the sales price, the advertisement cost is also increasing. There is a scenario of no profit and no loss in this case (Annema et al. 2017).
In proposal 2, the sales volume is increasing, but there is no increase in the sales price. Moreover the overall cost related to advertisement is also increasing. This is not profitable for the company as can be deciphered form the quantitative analysis. With increase in the sales volume, the variable cost of production is also increasing and since there is no effective increment in the overall sales price, the company is incurring a loss. Thus that is the main drawback of this proposal (Shull 2017).
In proposal 3, the company is going for a different method of giving rebates to increase the overall sale. This is a smart move, but with increment in the sales volume, the volume of production is also increasing for the company. This is thus causing a negative impact on the profit that is earned by the company. But if we analyse rationally, if the sales volume increases with increment in the total sales, the company will eventually gain as can be seen from the quantitative analysis of the proposal (Wachs 2017).
Conclusion
Thus, we see that the three proposals have their own strength and weakness. The concept of relevant costing and decision making plays an important part in analysing them, and helps the company in selecting the best that is suited to their requirements and all the other factors that might affect the profit prospects of the company are taken into consideration. It is not always that the proposals that gives the most amount of return is the best, other factors like the total cost, opportunity cost, the management decision making capabilities, all plays an important role in deciding the success of given proposal for any company.
Amount |
Amount |
|||
Working |
||||
a |
Calculation of contribution |
|||
Selling price |
15 |
|||
Direct material |
-2.5 |
|||
Direct labour |
-3 |
|||
Variable factory overhead |
-1.5 |
|||
Contribution per unit |
8 |
|||
factory fixed overhead |
-2 |
|||
Variable selling & distribution |
-2 |
|||
Fixed selling & distribution |
-1.5 |
|||
Profit per unit |
2.5 |
|||
b |
company (tassie) manufacturing & selling capacity |
150000 |
||
Company received offer from government to manufacture addition |
40000 |
|||
Total production in a year |
190000 |
Case A |
Total Capacity of tassie is 200000 unit per year |
Amount |
|
We have to produce |
|||
regular unit |
150000 |
||
Additional unit |
40000 |
||
total |
190000 |
||
Available |
200000 |
||
Excess |
10000 |
||
So in this case Price of additional unit (40000) production is relevant cost, because we have sufficient spare capacity. So the company can go for the given level of units, in its bid. |
|||
Calculation of price of offer |
|||
Direct material |
2.5 |
||
Direct labour |
3 |
||
Variable factory overhead |
1.5 |
||
Total |
7 |
||
Hence price per unit of offer is $7/- |
|||
Total price of offer |
280000 |
Case B |
Total Capacity of tassie is 180000 unit per year |
Amount |
|
We have to produce |
|||
regular unit |
150000 |
||
Additional unit |
40000 |
||
total |
190000 |
||
Available |
180000 |
||
Shortage |
-10000 |
||
Note: In this case we have only 180000 spare capacities, if we accept the offer than we have to produce less unit by reducing our regular production for which the contribution loss per unit will be $8 |
|||
Calculation of minimum price of offer |
|||
Variable cost per unit (WN-1) |
7 |
||
Add: contribution to be cost for |
8 |
||
Total cost per unit |
15 |
||
Unit produce |
40000 |
||
Hence total price of offer |
600000 |
||
Working note 1 |
|||
Calculation of relevant cost |
|||
Direct material |
2.5 |
||
Direct labour |
3 |
||
Variable factory overhead |
1.5 |
||
Total |
7 |
||
Working note: 2 |
|||
Calculation of contribution |
|||
Selling price |
15 |
||
Direct material |
-2.5 |
||
Direct labour |
-3 |
So, thus as its has been mentioned in the notes given in the same, in each case the company will make a bid keeping in thought the amount of profit that the company will eventually earn. In case A, when the capacity level is 200000 units, the price of additional units (40000) of production is the relevant cost, because there is sufficient spare capacity. The bid price will be $7 per unit, based on the calculations done above. In the second case the company have only 180000 spare capacities, if they accept the offer then they has to produce 10000 less unit of their regular production, by reducing the regular production, for which there will be a contribution loss per unit $8. The bid price will be $15, variable cost is $7 and the lost contribution will be charged from the party that is $8, so the bid price will be $15 per unit. (Linden & Freeman 2017)
Most of the time, these costs are treated as expenses and are shown in the income statement. However, in some particular cases, these costs can be shown on the asset side of the balance sheet even though they are expenses. The three cases are explained here under-
Examples to show some expenses that can be component of the asset side are prepaid rent, over applied depreciation, salaries advances etc.
1 |
overhead allocation rate = indirect cost/ labour hours |
||||
indirect cost |
98400 |
||||
labour hours |
25795 |
||||
There for : allocated overhead rate per unit |
|||||
3.81469277 |
|||||
2 |
statement of calculation of total cost for special order |
||||
Direct material |
2100KG*16.10 |
33810 |
|||
Direct labour |
1400* 12.7 |
17780 |
|||
Indirect cost |
525*3.81469277 |
2002.7137 |
|||
Total cost |
53592.714 |
||||
Working |
|||||
a) |
Direct labour per unit = direct cost/ direct labour hours |
||||
Direct labour |
327600 |
||||
labour hours |
25795 |
||||
per unit |
12.70013569 |
||||
b) |
Indirect cost per unit |
||||
Indirect cost |
98400 |
||||
labour hours |
25795 |
||||
per unit |
3.81469277 |
Indirect material: – varied with output
Indirect Labour: – output/Labour working hours
Indirect expenses: – Varied with labour working Hours
In the absence of any instruction regarding the breakup of variable overhead we should presumed variable overhead consist indirect expenses only. So in the given case for the calculation of total cost of special order we should presumed that indirect cost should be allocated on the basis of labour hours (Baal, Meltzer & Brouwer 2016).
3 |
statement of calculation of total cost for special order using machine time basis |
||
Direct material |
2100KG*16.10 |
33810 |
|
Direct labour |
1400* 12.7 |
17780 |
|
Indirect cost |
525*10 |
5250 |
|
Total cost |
56840 |
||
Working |
|||
Indirect cost per unit |
|||
Indirect cost |
98400 |
||
Machine hours |
9840 |
||
per unit |
10 |
4 |
Calculation of minimum price per trailer |
||
Direct material |
2100KG*16.10 |
33810 |
|
Direct labour |
1400* 12.7 |
17780 |
|
Indirect cost |
525*10 |
5250 |
|
Total |
56840 |
||
No. of trailer |
350 |
||
price/ trailer |
162.4 |
5. Activity based costing and overhead costs pools can help in accurately determine the price of the products, by focussing on the cause and effect relationship. . So while allocating the cost focus should be on the activities because of which the costs has been incurred. It helps in allocation of large costs smoothly between the different cost centres, taking specific activities as the basis of cost allocation and distribution(Zhuang & Chang 2017)It helps in providing necessary information about the different cost behaviour. It helps in getting a trace about the various activities that might have led to more cost. It helps in abolishment of unnecessary cost. In case of overhead allocation based on the cost pool, allocation is done based on labour hour between the various heads, if there are no specific criteria for cost classification and distribution is given. It is one of the most commonly used methods of cost classification. It helps in ascertaining the right price of particular product. In this ways, these methods help in accurate pricing of a product (Treville, Cattani & Saarinen 2017).
Annema, JA, Frenken, K, Koopmans, C & Kroesen, M 2017, ‘Relating cost-benefit analysis results with transport project decisions in the Netherlands’, Letters in Spatial and Resource Sciences, vol 10, no. 1, pp. 109-127.
Baal, PV, Meltzer, D & Brouwer, W 2016, ‘Future Costs, Fixed Healthcare Budgets, and the Decision Rules of Cost-Effectiveness Analysis’, HEALTH ECONOMICS, vol 25, no. 2, pp. 237-248.
Charlton, PC, Ilott, D, Borgeaud, R & Drew, MK 2017, ‘Risky business: An example of what training load data can add to shared decision making in determining ‘acceptable risk’’, Journal of Science and Medicine in Sport, vol 20, no. 6, pp. 526-527.
Linden, B & Freeman, RE 2017, ‘Profit and Other Values: Thick Evaluation in Decision Making’, Business Ethics Quarterly, vol 27, no. 3, pp. 353-379.
Shull, R 2017, Rush to Policy: Using Analytic Techniques in Public Sector Decision Making, Routledge, New York.
Treville, SD, Cattani, K & Saarinen, L 2017, ‘Technical note: Option-based costing and the volatility portfolio’, Journal of Operations Management, vol 49-51, pp. 77-81.
Wachs, M 2017, Ethics in Planning, Routledge, NEW YORK.
Zhuang, ZY & Chang, SC 2017, ‘Deciding product mix based on time-driven activity-based costing by mixed integer programming’, Journal of Intelligent Manufacturing, vol 28, no. 4, pp. 959-974.
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