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lilavasa [31]
2 years ago
5

Let M be the number of units to make and B be the number of units to buy. If it costs $2 to make a unit and $3 to buy a unit and

4000 units are needed, the objective function is
Min 2M + 3B

Min 4000 (M + B)

Max 2M + 3B

Max 8000M + 12000B
Business
1 answer:
Kobotan [32]2 years ago
7 0

Answer:

Min 2M + 3B

Explanation:

Data provided in the question

Let us assume M denotes the making units

B denotes the buying units

So,

Making cost per unit = $2

And, the buying cost per unit = $3

And, the total number of units required = 4,000 units

Based on the above information, the objective function is Min 2M + 3B.

This indicates the minimum total cost

Hence, the correct option is A.

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Carlos is the manager of an American company. He expects the value of the British pound to appreciate in the near future and so
Inga [223]

<u>Answer:</u> Speculation.

<u>Explanation:</u>

Carlos tries to make a profit through exchange rates. Carlos is a speculator who tries to make profit through market fluctuations. The strategy is a risky strategy as the speculators based on their knowledge about the market make decisions accordingly.

Carlos is planning to receive the appreciated value of British Pounds so that he receives the same amount as mentioned in the contract but makes profit out of exchange rates and books FX profits in his books of accounts.

3 0
2 years ago
A company has a factory that is designed so that it is most efficient (average unit cost is minimized) when producing 18,300 uni
PtichkaEL [24]

Answer: 14.9%

Explanation:

18300/12770x100%

8 0
1 year ago
Determine whether the following statement is true or false, and explain your reasoning:
Triss [41]

Answer:

The statement is true

Explanation:

As a fact, I agree that with large sample sizes, even the small differences between the null value and the observed point estimate can be statistically significant.

To put it differently, any differences between the null value and the observed point estimate will be material and/or significant if the samples are large in shape and form.

It's also established that point estimate get more clearer and understandable, and the difference between the mean and the null value can be easily singled out if the sample size is bigger.

Suffix to say, however, while the difference may connote a statistical importance, the practical implication notwithstanding, will be looked and studied on a different set of rules and procedures, beyond the statistical relevance.

6 0
1 year ago
Sharp Company manufactures a product for which the following standards have been set: Standard Quantity or Hours Standard Price
marin [14]

Answer:

1a) Actual Cost per foot = 6$

1b) Materials Price variance = 7530

1b) Spending Variance = 10830

2a) Standard Rate = 7.5 USD

2b) Standard Hours = 4804 hours

2c) Standard hours allowed = 2.09

Explanation:

As usual, let's sort out the data given:

1. For direct materials:

a) Compute the actual cost per foot of materials for March.

For actual cost per foot for materials for march. We need to find the actual quantity first. so, we will come back to it.

Data Given:

Units Produced = 2,290

Standard Quantity for Direct material = 3 feet

Standard Quantity for Direct materials = 3 x 2,290 = 6870 feet

Standard Price per foot = 5 USD

Standard Total Units =  6870

Total Price = 5 x 6870 = 34350 USD

But

Actual Price = unknown

Actual Quantity = Unknown

Actual Cost = 45,180$ company purchased the direct materials at that cost.

Material Quality Variance = Standard Price x (Actual Qty - Standard Qty)

Here in this equation, we know all the quantities except Actual Qty. let's make it subject to calculate it.

Actual Qty = 3,300/$5 + 6870

Actual Qty = 7,530

Now, as we have Actual Quantity, we can calculate the part a of part 1.

So, let's calculate a.

a) a) Compute the actual cost per foot of materials for March.

Actual cost per foot = Direct Material Cost / Actual Qty

Actual Cost per foot = 45,180/7530

Actual Cost per foot = 6$

Let's move on to part 1 b.

b) Compute the price variance and the spending variance.

Formula to calculate the Materials Price Variance is as follows:

Materials Price Variance = Actual Qty x( Actual Price - Standard Price)

Materials Price Variance = 7530 x ( 6 - 5)

Materials Price variance = 7530

Now, we have to calculate the spending variance and the formula is as follows:

Spending Variance = (Actual Price x Actual Qty) - (Standard Qty x Standard Price)

Spending Variance = (6 x 7530) - ( 6870 x 5)

Spending Variance = 10830

Let's move on to part 2 a.

a) Compute the standard direct labor rate per hour:

Formula :

Labor rate variance = (Standard Rate - Actual Rate) x Actual Hours

Labor rate variance = Labor spending variance - Labor efficiency variance

Labor rate variance =   3130 - 780 = 2350

In this equation, we know all the quantities but we have to find Standard rate so make it subject.

Standard Rate = 2350/4700 + 7

Standard Rate = 7.5 USD

b. Compute the standard hours allowed for the month’s production.

Labor Efficiency Variance = Standard rate x ( Actual hours - Standard Hours)

In this part, we need to find the standard hours.

let's make it the subject.

Standard hours = 780/7.5 + 4700

Standard Hours = 4804 hours

c. Compute the standard hours allowed per unit of product.

Standard hours allowed can be found by plugging in the values in the following formula.

Formula:

Standard hours allowed = Standard hours / units produced

Standard hours allowed = 4804/2,290

Standard hours allowed = 2.09

6 0
1 year ago
Paper Express Company has a balance sheet which lists $85 million in assets, $40 million in liabilities, and $45 million in comm
hoa [83]

Answer:

$90

Explanation:

Based on the information given we were told that after the assets was replaced at the amount of $115 million, the Company market share price was the amount of $90 which simply means that Paper Express's market value per share will be the market share price of the amount of $90.

Therefore Paper Express's market value per share will be $90.

8 0
2 years ago
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