The most likely result of this price control would be that the <span>demand for bread will fall, which could result in an excess supply. his excess supply in the market would ultimately force the hand of the manufacturers to stop the production of bread. I hope that this is the answer that has come to your help.</span>
Answer:
The best allocation base for assembling activities costs are the number of parts actually assembled.
Since the number of parts is not an option int his question, the second best allocation base for the assembling process is A) direct labor hours.
If the process is highly automated, then the second best allocation base would be machine hours, but that isn't an option either.
Answer:
a) safety stock = z-score x √lead time x standard deviation of demand
z-score for 99.9% = 3.29053
√lead time = √7 = 2.6458
standard deviation of demand = 3
safety stock = 3.29053 x 2.6458 x 3 = 26.12 ≈ 26 soaps
reorder point = lead time demand + safety stock = (7 x 16) + 26 = 138 soaps
EOQ = √[(2 x S x D) / H]
S = order cost = $10
D = annual demand = 16 x 365 = 5,840
H = $0.05
EOQ = √[(2 x $10 x 5,840) / $0.05] = 1,528.40 ≈ 1,528 soaps
b) total order costs per year = (5,840 / 1,528) x $10 = $38.22
total holding costs = (1,528 / 2) x $0.05 = $38.20
total annual ordering and holding costs = $76.42
Answer:
There are a few advantages and disadvantages of these three forecasting sales: moving average, weighted moving average, and regression analysis.
Explanation:
The moving average method is the method in which calculation of a overall trend in a data set is done. It is a simple method. But its disadvantage is that this method doesn't take the data outside the average period into accounting.
The weighted moving average method uses exponential method to verify if the past data's effect is correct, Thus, this makes it more accurate in measurements. But, the disadvantage is that it is difficult to use.
The regression analysis method is majorly used for prediction and forecasting. But the disadvantage is its limitation to the linear relationship so it is not able to provide accurate result in case there are more than one variables.
Linear Multiple Regression Analysis method shows relationship between independent and dependent variables. This is best for sales forecast because it is easy to use for decision making and helps solving business problems
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Answer:
The current dividend per share = 1.89
Explanation:
13% = {[Dividend * (1 + g)] / $31} + g
g = 13% / 2 = 6.5%
13% = {[Dividend * (1 + 6.5%)] / $31} + 6.5%
6.5% = Dividend * (1 + 6.5%)] / $31
$31 * 6.5% = Dividend * (1 + 6.5%)
$2.015 / 1.065 = Dividend
Dividend = $1.89