Economist refer to this as the demand.
Answer:
Net Income is $485.4
Explanation:
According to the accounting equation
Assets = Equity + Liabilities
So putting value of assets = 3,525, and assuming equity = x, then:
3252 = Liabilities + x
Liabilities = 3252 - x
Now putting this value in the debt to equity formula,
Debt / Equity = 0.34
(3252 - x) / x = 0.34
3252 - x = 0.34x
1.34x = 3252
x = 3252 / 1.34 = $2427 This is the value of equity.
Now
Return on Equity = Net Income / Equity
and return on equity is $2427, so by putting values in the equation, we have:
0.20 = Net Income / 2427
Net Income = $485.4
The formula for the calculation is
<u>CM ratio = Unit contribution margin ÷ Unit selling price
</u>
The break-even in monthly dollar sales is closest to $578,100
Explanation:
The formula for the calculation is
<u>CM ratio = Unit contribution margin ÷ Unit selling price
</u>
<u></u>
<u>Given that </u>
<u>Selling price of the product=</u>$185.00 per unit
variable cost=$55.50 per unit
fixed expense=$404,670 per month
<u></u>
= ($185.00 per unit − $55.50 per unit) ÷ $185.00 per unit
= $129.50 per unit ÷ $185.00 per unit = 0.70
<u>Dollar sales to break even = Fixed expenses ÷ CM ratio
</u>
= $404,670 ÷ 0.70
= $578,100
The break-even in monthly dollar sales is closest to $578,100
There are usually more positive than negatives when it comes to moving manufacturing from the United States to China. It's cheaper to pay wages in China for the same type of work that someone in America would expect to be paid. Not only can you pay the workers less, you can then afford to expand and hire more people due to saving the money on American wages. Usually, you can also get products cheaper in China and cut down the cost of your product. However, with cheaper labor and materials comes cheaper quality and the quality dropping may hurt consumers willingness to buy.
Answer:
219 sheets
Explanation:
D = 5000 per year,
d = daily demand = 5000/365 = 13.70 sheets
T = time between orders (review) = 14 days
L = Lead time = 10 days
σd= Standard deviation of daily demand = 5 per day
I = Current Inventory = 150 sheets Service Level
P = 95% (Probability of not stocking out) q=d(L+D)z σ T+L-1
σ T+L-1= square root (T+L)=5 square root 14+10= 24.495
From Standard normal distribution, z = 1.64 for 95% Service Level (or 5% Stock out)
q=13.70*(14+10)+1.64(24.495)-150
= 218.97 →219 sheets
