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In this case study, A “Shovel” is a hydraulic excavator used to extract ore from the ground onto a truck for transport, it is used in the mining for an Open -pit mining operation. Mining unit has been able to get the detail data for the trucks working for their speed and ideal time minute by minute. The Company is also have high cost equipment’s and high fixed cost and overheads. The expenses were budgeted and now the actual has also been received.
This data is analysed for both variance analysis of budget vs actual and also for the time and speed data for the trucks to identify the trends if any. Results are shared as below to find to a conclusion to provide a recommendation. This table can be found in the attached Excel file under the “Truck Geospatial Output” tab. The geospatial data for the mine are provided, After analysing the available data, which is only for one day, no specific trend was identified may be because the data is only for one day which can be a normal idle day as per the efficiency of the Truck is concerned.
H10 |
H11 |
H12 |
H13 |
|||||||||
Total |
Day |
Night |
Total |
Day |
Night |
Total |
Day |
Night |
Total |
Day |
Night |
|
Average Speed of Truck |
9.15 |
9.18 |
9.56 |
9.30 |
8.28 |
10.43 |
8.62 |
8.00 |
9.40 |
8.86 |
8.26 |
9.52 |
Total Time Worked in Hours |
7.19 |
3.35 |
3.44 |
8.02 |
4.05 |
3.57 |
7.54 |
3.44 |
4.1 |
7.58 |
3.51 |
4.07 |
Average Kilometres done |
0.078 |
0.080 |
0.077 |
0.07 |
0.06 |
0.080 |
0.07 |
0.07 |
0.06 |
0.072 |
0.72 |
0.72 |
Total Kilometres |
210.5 |
105.4 |
105.1 |
213. |
99.3 |
114.5 |
199. |
96.0 |
103 |
203. |
99.1 |
104. |
H10 |
H11 |
H12 |
H13 |
|
Total |
Total |
Total |
Total |
|
Total Time Worked in Hours |
7.19 |
8.02 |
7.54 |
7.58 |
Total Kilometers |
210.566 |
213.95 |
199.501 |
203.957 |
The financial information is processed to identify the reasons for the difference between budget and actual. Suggestions are provided on improving the budgeting process and the benefits of improving operations (e.g. create three scenarios may be there which will improve the financial position of the mine)
On the basis of data available Variances are calculated for Revenue , Variable Cost , Fixed Cost and Total Cost and it is projected in bar charts with trend line showing the variance % also.
Monthly variance shows that is a good amount of variance in budget vs actual, which is an indication of gaps in the budgeting process. To improve the process we can identity the gaps in the overall budgeting process as shared in the recommendation.
Excel File attached
Total Fixed Cost |
Budget |
1,28,33,333.33 |
|
Actual |
1,61,83,333.33 |
||
Other cost |
Budget |
3,53,33,333.33 |
|
Actual |
3,74,73,706.33 |
||
TOTAL COST/mnth |
Budget |
4,81,66,666.67 |
|
Actual |
5,36,57,039.67 |
||
-54,90,373.00 |
|||
-11% |
Budget Variance of 11% is treated as huge variance and specially in the fixed cost also there is variance 26% which can easily be reduced
Recommendation:
Budgets are prepared on the basis of previous data , market research and current information and future prediction or forecast.
Management in this case should revisit their budgeting process by :
Remember, at the center of any academic work, lies clarity and evidence. Should you need further assistance, do look up to our Management Assignment Help
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