a
Sales Budget: |
||||
Particulars |
January |
February |
March |
Total |
Sales Volume (in units) |
76850 |
61480 |
69160 |
207490 |
Unit Selling Price |
$6,300 |
$6,300 |
$6,300 |
$6,300 |
Projected Sales (in $) |
$484,155,000 |
$387,324,000 |
$435,708,000 |
$1,307,187,000 |
b
Production Budget: |
|||||
1st Quarter |
|||||
Particulars |
January |
February |
March |
Total |
April |
(in unit) |
(in unit) |
(in unit) |
(in unit) |
||
Projected Sales Volume |
76850 |
61480 |
69160 |
207490 |
92210 |
Add: Closing Stock of Finished Goods |
36888 |
41496 |
55326 |
55326 |
|
Less: Opening Stock of Finished Goods |
49200 |
36888 |
41496 |
49200 |
|
Projected Production Volume (in units) |
64538 |
66088 |
82990 |
213616 |
|
c
Direct Material Purchases Budget: |
||||||||||
Particulars |
January |
February |
March |
Total |
April |
|||||
Part 714 |
Part 502 |
Part 714 |
Part 502 |
Part 714 |
Part 502 |
Part 714 |
Part 502 |
Part 714 |
Part 502 |
|
Projected Production Volume |
64538 |
64538 |
66088 |
66088 |
82990 |
82990 |
||||
Material required p.u. |
5 |
6 |
5 |
6 |
5 |
6 |
||||
Total Material Required |
322690 |
387228 |
330440 |
396528 |
414950 |
497940 |
1068080 |
1281696 |
|
|
Add: Closing Stock of Raw Materials |
61480 |
73776 |
69160 |
82992 |
92210 |
110652 |
92210 |
110652 |
||
Less: Opening Stock of Raw Material |
76850 |
92220 |
61480 |
73776 |
69160 |
82992 |
76850 |
92220 |
||
Direct Material Purchased (in units) |
307320 |
368784 |
338120 |
405744 |
438000 |
525600 |
1083440 |
1300128 |
|
|
Material Cost p.u. |
$92 |
$123 |
$92 |
$123 |
$92 |
$123 |
$92 |
$123 |
||
Projected Direct Material Purchased |
$28,273,440 |
$45,360,432 |
$31,107,040 |
$49,906,512 |
$40,296,000 |
$64,648,800 |
$99,676,480 |
$159,915,744 |
|
|
d
Direct Labor Budget: |
||||
1st Quarter |
||||
Particulars |
January |
February |
March |
Total |
(in unit) |
(in unit) |
(in unit) |
(in unit) |
|
Projected Production |
64538 |
66088 |
82990 |
213616 |
Direct Labor Hours p.u. |
9 |
9 |
9 |
9 |
Total Direct Labor Hours |
580842 |
594792 |
746910 |
1922544 |
Direct Labor Cost per hour |
$50 |
$50 |
$50 |
$50 |
Budgeted Direct Labor Cost |
$29,042,100 |
$29,739,600 |
$37,345,500 |
$96,127,200 |
e
Manufacturing Overhead Budget |
||||
1st Quarter |
||||
Particulars |
January |
February |
March |
Total |
Total Direct Labor Hours |
580842 |
594792 |
746910 |
1922544 |
Variable Overhead per labor hour: |
||||
Indirect Labor |
$64.55 |
$64.55 |
$64.55 |
$64.55 |
Power |
$6.15 |
$6.15 |
$6.15 |
$6.15 |
Maintenance |
$37.77 |
$37.77 |
$37.77 |
$37.77 |
Other Manufacturing Cost |
$46.11 |
$46.11 |
$46.11 |
$46.11 |
Total Variable Manufacturing Cost |
$89,786,664 |
$91,943,058 |
$115,457,486 |
$297,187,208 |
Fixed Overhead: |
||||
Supervision |
$43,033,200 |
$43,033,200 |
$43,033,200 |
$129,099,600 |
Depreciation |
$3,842,300 |
$3,842,300 |
$3,842,300 |
$11,526,900 |
Rates & utilities |
$3,175,200 |
$3,175,200 |
$3,175,200 |
$9,525,600 |
Maintenance |
$34,967,759 |
$34,967,759 |
$34,967,759 |
$104,903,278 |
Other Fixed Overhead |
$15,369,000 |
$15,369,000 |
$15,369,000 |
$46,107,000 |
Total Fixed Manufacturing Overhead |
$100,387,459 |
$100,387,459 |
$100,387,459 |
$301,162,378 |
Budgeted Manufacturing Overhead |
$190,174,124 |
$192,330,517 |
$215,844,946 |
$598,349,587 |
f
Ending Finished Goods Inventory Budget |
|||
1st Quarter |
|||
Particulars |
January |
February |
March |
Total Production Volume |
64538 |
66088 |
82990 |
Material Cost p.u.: |
|||
Part 714 |
$460 |
$460 |
$460 |
Part 502 |
$738 |
$738 |
$738 |
Total Material Consumed |
$77,316,524 |
$79,173,424 |
$99,422,020 |
Total Direct Labor Cost |
$29,042,100 |
$29,739,600 |
$37,345,500 |
Total Manufacturing Overhead |
$190,174,124 |
$192,330,517 |
$215,844,946 |
Total Production Cost |
$296,532,748 |
$301,243,541 |
$352,612,466 |
Production Cost p.u. |
$4,594.70 |
$4,558.22 |
$4,248.85 |
Ending Finished Goods Inventory |
36888 |
41496 |
55326 |
Budgeted Finished Goods Inventory |
$169,489,293 |
$189,147,833 |
$235,072,145 |
g
Cost of Goods Sold Budget: |
||||
1st Quarter |
||||
Particulars |
January |
February |
March |
Total |
Budgeted Absorption Cost of Opening Inventory |
$3,070 |
$4,594.70 |
$4,558.22 |
$3,070 |
Opening Stock of Finished Goods |
49200 |
36888 |
41496 |
49200 |
Opening Stock Value |
$151,044,000 |
$169,489,293 |
$189,147,833 |
$151,044,000 |
Add: Total Production Cost |
$296,532,748 |
$301,243,541 |
$352,612,466 |
$950,388,755 |
$447,576,748 |
$470,732,834 |
$541,760,299 |
$1,101,432,755 |
|
Less: Closing Finished Goods Inventory |
$169,489,293 |
$189,147,833 |
$235,072,145 |
$235,072,145 |
Budgeted Cost of Goods Sold |
$278,087,455 |
$281,585,001 |
$306,688,154 |
$866,360,610 |
h
Budgeted Income Statement: |
||||
1st Quarter |
||||
Particulars |
January |
February |
March |
Total |
Total Sales Revenue |
$484,155,000 |
$387,324,000 |
$435,708,000 |
$1,307,187,000 |
Less: Cost of Goods Sold |
$278,087,455 |
$281,585,001 |
$306,688,154 |
$866,360,610 |
Gross Profit |
$206,067,545 |
$105,738,999 |
$129,019,846 |
$440,826,390 |
Less: Selling & Admin Expenses |
$100,287,450 |
$80,230,000 |
$90,254,000 |
$270,771,450 |
Budgeted Net Profit/(Loss) |
$105,780,095 |
$25,508,999 |
$38,765,846 |
$170,054,940 |
i
Cash Budget: |
||||
1st Quarter |
||||
Particulars |
January |
February |
March |
Total |
Cash Flow from Operating Activities: |
||||
Collection from the month’s sales |
$377,640,900 |
$302,112,720 |
$339,852,240 |
$1,019,605,860 |
Collection from last month’s sales |
$154,930,000 |
$96,831,000 |
$77,464,800 |
$329,225,800 |
Cash Sales |
$9,683,100 |
$7,746,480 |
$8,714,160 |
$26,143,740 |
Purchase of Direct Material |
($73,633,872) |
($81,013,552) |
($104,944,800) |
($259,592,224) |
Direct Labor Cost |
($29,042,100) |
($29,739,600) |
($37,345,500) |
($96,127,200) |
Variable Manufacturing Overhead |
($89,786,664) |
($91,943,058) |
($115,457,486) |
($297,187,208) |
Supervision Cost |
($43,033,200) |
($43,033,200) |
($43,033,200) |
($129,099,600) |
Rates & utilities |
($3,175,200) |
($3,175,200) |
($3,175,200) |
($9,525,600) |
Maintenance |
($34,967,759) |
($34,967,759) |
($34,967,759) |
($104,903,278) |
Other Fixed Overhead |
($15,369,000) |
($15,369,000) |
($15,369,000) |
($46,107,000) |
Selling & Admin Expenses |
($100,287,450) |
($80,230,000) |
($90,254,000) |
($270,771,450) |
Net Cash Flow from Operating Activities |
$152,958,754 |
$27,218,831 |
($18,515,746) |
$161,661,839 |
Cash Flow from Investing Activities: |
||||
Purchase of Land |
($39,959,400) |
($39,959,400) |
||
Net Cash Flow from Investing Activities |
$0 |
($39,959,400) |
$0 |
($39,959,400) |
Cash Flow from Financing Activities: |
||||
Dividend paid |
($190,000,000) |
($190,000,000) |
||
Loan Taken |
$33,198,946 |
$46,105,510 |
$64,851,783 |
$144,156,238 |
Loan Repaid |
($33,198,946) |
($46,105,510) |
($79,304,455) |
|
Interest paid on Loan |
($165,995) |
($230,528) |
($396,522) |
|
Cash Flow from Financing Activities: |
($156,801,054) |
$12,740,569 |
$18,515,746 |
($125,544,739) |
Net Increase/(Decrease) in Cash Balance |
($3,842,300) |
$0 |
$0 |
($3,842,300) |
Add: Opening Cash Balance |
$3,842,300 |
$0 |
$0 |
$3,842,300 |
Closing Balance |
$0 |
$0 |
$0 |
$0 |
Total Opening & Closing Raw Material Inventory: |
||||||||
Particulars |
January |
February |
March |
April |
||||
Part 714 |
Part 502 |
Part 714 |
Part 502 |
Part 714 |
Part 502 |
Part 714 |
Part 502 |
|
Total Sales Volume |
76850 |
76850 |
61480 |
61480 |
69160 |
69160 |
92210 |
92210 |
Material Required p.u. |
5 |
6 |
5 |
6 |
5 |
6 |
5 |
6 |
Stock Maintaining Level |
20% |
20% |
20% |
20% |
20% |
20% |
20% |
20% |
Opening Stock |
76850 |
92220 |
61480 |
73776 |
69160 |
82992 |
92210 |
110652 |
Closing Stock |
61480 |
73776 |
69160 |
82992 |
92210 |
110652 |
|
|
Fixed & Variable Maintenance Cost: |
|
Direct Labor Hours |
Total Maintenance Cost |
1483100 |
$90,984,500 |
1690600 |
$98,822,700 |
1552300 |
$93,597,200 |
1413900 |
$88,371,800 |
Variable Maintenance Cost per hour |
$37.77 |
Fixed Maintenance Cost |
$34,967,759 |
Particulars |
Without New Facility |
% of Total Cost |
With New Facility |
% of Total Cost |
Variance |
Remarks |
Direct Material Cost |
$255,911,968 |
27% |
$191,933,976 |
19% |
25.00% |
Favorable |
Direct Labor Cost |
$96,127,200 |
10% |
$72,095,400 |
7% |
25.00% |
Favorable |
Variable Manufacturing Overhead |
$297,187,208 |
31% |
$297,187,208 |
29% |
0.00% |
Favorable |
Fixed Manufacturing Overhead |
$301,162,378 |
32% |
$451,743,568 |
45% |
-50.00% |
Adverse |
Total Production Cost |
$950,388,755 |
100% |
$1,012,960,152 |
100% |
-6.58% |
Adverse |
As can be observed from the above table, the new highly automated manufacturing facility as planned to be built by Paulo would ultimately impact the business in a negative way. This can be clearly understood from the analysis of the above table. As it is mentioned in the table, the direct material cost decreases from $255,911,968 to $191,933,976 which will definitely have a favorable effect on business by a variance amount of 25%. Then comes the direct labor cost which also impacts the business in a favorable way. This is because with the installation of the new manufacturing facility the direct labor cost decreases from $96,127,200 to $72,095,400. This means that the new manufacturing reduces the dependency of business over the force of labor that is it makes business much more automated in nature (Yahya-Zadeh 2012). The variable manufacturing overhead as shown in the table remains constant. This means that there will be no change in the variable manufacturing overhead with the installation of new manufacturing facility. But the fixed manufacturing overhead does not impact the business in a favorable way rather it impacts business in an adverse way. This is because after the installation of the new manufacturing facility the fixed manufacturing overhead increases from $301,162,378 to $451,743,568 that represents a variance of 50% which will have an adverse effect on business. Lastly as it can be obtained from the table the total production cost also increases from $950,388,755 to $1,012,960,152 which clearly indicates the fact that the installation of the new manufacturing facility would not be a very good idea as it would increase the total cost of production thus decreasing the total revenue earned by the company (Caamaño-Alegre et al., 2013).
Sales Budget Variance: |
|||
Particulars |
Actual |
Budgeted |
Variance |
Quarterly Sales Volume |
184700 |
207490 |
-22790 |
Unit Selling Price |
$6,300 |
$6,300 |
$6,300 |
Total Sales Revenue |
$1,163,610,000 |
$1,307,187,000 |
($143,577,000) |
Remarks |
|
|
Adverse |
As can be observed from the sales budget variance, the total sales revenue differs from the budgeted sales revenue by a negative amount of $143,577,000. This means that the estimated figure that the organization expected to obtain as a part of the sales revenue was much more than what was actually gained as total sales revenue. Therefore the sales budget variance represents an adverse effect. The reasons for such a disparity may be due to increase in sales on credit or increase in the amount of debts that could not be recovered or decrease in the general market price or change in demand and preference of the consumers (Klychova, Faskhutdinova and Sadrieva 2014).
Material Price Variance: |
|||
Particulars |
Part 714 |
Part 502 |
Total Cost |
Actual Material Used |
669600 |
1043700 |
|
Standard Price p.u. |
$92 |
$123 |
|
Standard Cost for Actual Quantity |
$61,603,200 |
$128,375,100 |
$189,978,300 |
Actual Material Cost |
$52,362,720 |
$81,932,260 |
$134,294,980 |
Material Price Variance |
($9,240,480) |
($46,442,840) |
($55,683,320) |
Remarks |
Favorable |
Favorable |
Favorable |
The material price variance represents a favorable outcome. This indicates that the budget was more or less accurately prepared therefore the estimated figures correctly match with the actual figures incurred.
Material Usage Variance: |
|||
Particulars |
Part 714 |
Part 502 |
Total Cost |
Actual Material Used |
669600 |
1043700 |
|
Standard Price p.u. |
$92 |
$123 |
|
Standard Cost for Actual Quantity |
$61,603,200 |
$128,375,100 |
$189,978,300 |
Budgeted Material Cost |
$98,263,360 |
$157,648,608 |
$255,911,968 |
Material Usage Variance |
$36,660,160 |
$29,273,508 |
$65,933,668 |
Remarks |
Adverse |
Adverse |
Adverse |
The material usage variance represents an adverse outcome. This means that the stipulated or budgeted quantity of input that had been fixed by the management was not properly executed. Business had used input in much more quantity than what was estimated, this resulted in the difference between the budgeted and the actual figures.
Direct Labor Rate Variance: |
|
Particulars |
Amount |
Actual Direct Labor Hours |
1191510 |
Standard Rate per labor hour |
$50 |
Standard Labor Cost for Actual Labor Hours |
$59,575,500 |
Actual Direct Labor Cost |
$50,639,200 |
Material Price Variance |
($8,936,300) |
Remarks |
Favorable |
The direct labor variance represents a favorable outcome. This means that there is no much difference between the budgeted figure and the actual figure.
Direct Labor Efficiency Variance: |
|
Particulars |
Amount |
Actual Direct Labor Hours |
1191510 |
Standard Rate per labor hour |
$50 |
Standard Labor Cost for Actual Labor Hours |
$59,575,500 |
Budgeted Labor Cost |
$96,127,200 |
Material Price Variance |
($36,551,700) |
Remarks |
Favorable |
The direct labor efficiency represents a favorable outcome. This means that there is not much disparity in the estimated figures and the budgeted figures and that the budget had been prepared more or less accurately.
When the imposed budgetary approach is employed by the management in order to prepare the budget the implication of such a decision has both negative and positive effects. The positive effect of such a decision is that the management is not answerable to anyone in regards to structuring the budget. It can use its own methods and findings to figure out the particular estimations and then implement it in the organization. On the other hand the negative implication of such a decision is that the budget after being prepared by the management is imposed upon the general staff of the organization. No input from the staff at the lower hierarchy of authority is taken into consideration. This may result in dissatisfaction among the employees and the employees may not feel one with the budgetary decisions. Paulo as a production manager may feel the same in case of an imposed budgetary approach and though Paulo may be concerned with the disparities in the budget but as no input was taken from him, he will not be affected by the errors that may have been undertaken while preparing the budget (Mutiganda 2013).
In case of a participative budgetary approach, inputs from all the levels of authority is incorporated and evaluated while preparing a budget. Estimations by the general staff is submitted to the supervisors who in turn submit their evaluated inputs to the management and ultimately with all these inputs the directors of the organization prepare the final budget. In case of such an approach all the employees feel important as the important estimations provided by them are considered by the management. The employees feel motivated and in case of any errors in the budget, each and every staff feel the urgency to find out the particular mistakes committed in the preparation of the budget. In case of Paulo he would feel the same and would be very concerned with the disparities in the budget as he had been an active member in preparing the budget (Bridgelall 2014).
References
Yahya-Zadeh, M., 2012. Comprehensive variance analysis based on ex post optimal budget. Academy of Accounting and Financial Studies Journal, 16, p.65.
Caamaño-Alegre, J., Lago-Peñas, S., Reyes-Santias, F. and Santiago-Boubeta, A., 2013. Budget transparency in local governments: an empirical analysis. Local Government Studies, 39(2), pp.182-207.
Mutiganda, J.C., 2013. Budgetary governance and accountability in public sector organisations: An institutional and critical realism approach. Critical Perspectives on Accounting, 24(7), pp.518-531.
Bridgelall, R., 2014, March. A participatory sensing approach to characterize ride quality. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014 (Vol. 9061, p. 90610A). International Society for Optics and Photonics.
Klychova, G.S., Faskhutdinova, ?.S. and Sadrieva, E.R., 2014. Budget efficiency for cost control purposes in management accounting system. Mediterranean journal of social sciences, 5(24), p.79.
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