Answer:
Convergence
Explanation:
Convergence meaning that the two different entities are coming together. It is also defined as the tendency of the group members to become more alike. It is also known as the company culture, in the sense, that the people who work there, tend to have the similar characteristics.
Therefore, the convergence is the phenomenon which states the shifting of the styles of the individual management in order to become more similar to one another.
A consequence of President Johnson ignoring the Tenure of Office Act was he ended up getting impeached.
1. Direct labor
2. Executive salaries
3. Factory rent
4. Property taxes, factory.
5. Boxes used for packaging detergent produced by the company
6. Salespersons' commissions
7. Supervisor's salary, factory
8. Depreciation, executive autos.
9. Wages of workers assembling computers
10. Insurance, finished goods warehouses
11. Lubricants for production equipment.
12. Advertising costs
13. Microchips used in producing calculators.
B)Using exponential smoothing with ? = 0.20, if the exponential forecast for week 3 was estimated as the average of the first two weeks [(315 + 415)/2 = 365], what would you forecast week 5 to be? (Round your answer to the nearest whole number.)
Week 1 315
Week 2 415
Week 3 615
Week 4 715
Answer: A. 582 ; B. 475
Explanation:
A. Three week moving average
three moving average requires us to take the last three weeks forecast in calculating the forecast for following week, to calculate week 5 forecast we will start from week 2 to week 4.
Week 2 = 415
Week 3 = 615
Week 4 = 715
Three week moving average = (WEEK 2 + Week 3 + Week 4)/N
Three week moving average = (415 + 615 + 715)/3
Three week moving average = 1745/3 = 581.6667 = 582
using three week moving average the forecast for week 5 is 582
B.Exponential smoothing
Exponential smoothing forecast for week 3 is 365, to calculate the forecast of week 5 we need to find a forecast for week 4 first using exponential smoothing
S = smoothing Factor = 0.2
D = most recent forecast (week 3) = 615
F = most recent forecast under exponential smoothing = 365
Forecast(week 4) = (D × S) + (F × (1 - S))
Forecast(week 4) = (615 × 0.20) + (365 × (1 - 0.20))
Forecast(week 4) = 123 + 292 = 415
The forecast for week 4 using exponential smoothing is 415
Week 5 forecast calculation
S = smoothing Factor = 0.2
D = most recent forecast (week 4) = 715
F = most recent forecast under exponential smoothing = 415
Forecast(week 5) = (D × S) + (F × (1 - S))
Forecast(week 5) = (715 × 0.20) + (415 - (1 - 0.20))
Forecast(week 5) = 143 + 332= 475
forecast for week 5 is 475
The forecast for the next week using a three-week moving average would be 448 items. Using exponential smoothing with a smoothing constant of 0.20, the forecast for week 5 would be 435 items.
To answer both parts of your question:
A) The three-week moving average is calculated by taking the average of the past 3 weeks, so for week 4, it would be the average of weeks 1, 2, and 3: [(315 + 415 + 615)/3 = 448]. Therefore, the forecast for week 4 using a three-week moving average would be 448 items, rounded to the nearest whole number.
B)Exponential smoothing requires the use of a smoothing constant, in this case, ? = 0.20, and the previous actual and forecasted values. Using the given exponential forecast for week 3 of 365, the forecasted demand for week 5 would be calculated as follows: Forecast = ? * Actual_previous + (1-?) * Forecast_previous = 0.20 * 715 + (1-0.20) * 365 = 435. Therefore, your week 5 forecast would be 435 items, rounded to the nearest whole number.
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B. $23,800 net increase in operating income if the ceiling fans are sold as is.
C. $23,800 net increase in operating income if the ceiling fans are repaired.
D. $9,860 net increase in operating income if the ceiling fans are sold as is.
Answer:
A. $9,860 net increase in operating income if the ceiling fans are repaired.
Explanation:
If the company don't do anything with defective fans, they still occurs manufacturing cost of $20,060 (=$59 * 340)
(1) if the company sell defective units, operating income is -12,240 or loss of $12,240 =(340*$23-$20,060)
(2) if the company process further for a cost of $41 each and then sell for the normal selling price, the operating income is -2,380 loss of $2,380= 340*($93-$41) - $20,060
So if the fans are repaired, the net increase in operation income is $9,860 =(-2,380-( -12,240))
a. Sam faces economies of scale; Liza faces diseconomies of scale; Tina faces constant returns to scale.
b. Sam faces economies of scale; Tina faces diseconomies of scale; Liza faces constant returns to scale.
c. Tina faces economies of scale; Sam faces diseconomies of scale; Liza faces constant returns to scale.
d. Liza faces economies of scale; Sam faces diseconomies of scale; Tina faces constant returns to scal
Answer: d. Liza faces economies of scale; Sam faces diseconomies of scale; Tina faces constant returns to scale
Explanation:
Economies of scale occurs when the increase in production by companies brings about a reduction in cost. Diseconomies of scale is when a rise in production leads to an increase in cost as well. For a constant return to scale, the cost remains the same.
Therefore, the answer will be option D "Liza faces economies of scale; Sam faces diseconomies of scale; Tina faces constant returns to scale".
Answer:
A. Total grinding minutes required = 28,600 minutes
B.
Of the 4, product D offers the highest profitability per grinding minute.
A. $40,020 divided by 7,830 minutes = $5.11 per grinding minute
B. $62,640 divided by 9,860 minutes = $6.35 per grinding minute
C. $27,930 divided by 6,080 minutes = $4.60 per grinding minute
D. $32,760 divided by 4,830/minutes = $6.70 per grinding minute
Explanation:
Bruce corporation
A.
Step 1 identify Grinding minutes per unit of product
A = 2.70
B = 3.40
C = 3.20
D = 2.30
Step 2. Identify Production units through monthly demand units
A = 2,900
B = 2,900
C = 1,900
D = 2,100
Step 3. Determine total grinding units required to fulfill demand.
A = 2,900 x 2.70 = 7,830
B = 2,900 x 3.40 = 9,860
C = 1,900 x 3.20 = 6,080
D = 2,100 x 2.30 = 4,830
Total grinding minutes required = 28,600
B.
Product profitability
Step 1. Determine product cost
Differentiate the product Costs and variable selling costs per unit from the unit selling prices.
A = 75.00 - 60.10 - 1.1 = 13.80
B = 92.40 - 70.70 - 0.1 = 21.60
C = 86.30 - 69.40 - 2.20 = 14.70
D = 103.10 - 87.00 - 0.50 = 15.60
Step 2. Multiply the profitability per unit with volume demanded to determine absolute value of profits made
A = 2,900 x 13.80 = $40,020
B = 2,900 x 21.60 = $62,640
C = 1,900 x 14.70 = $27,930
D = 2,100 x 15.60 = $32,760
Total profit = $163,350.
Step 3./determine the profit per grinding minute. To evaluate which product makes best use of the grinding machine
A. $40,020 divided by 7,830 minutes = $5.11 per grinding minute
B. $62,640 divided by 9,860 minutes = $6/35 per grinding minute
C. $27,930 divided by 6,080 minutes = $4.60 per grinding minute
D. $32,760 divided by 4,830/minutes = $6.7 per grinding minute