Answer:
4,513 approx.
Explanation:
The computation of the minimum number of jars of silver polish is shown below:-
Sales revenue for one jar of silver polish $5.60
Sales revenue for 1/4 pound of Grit 337 0.85
($3.40 × 1 ÷ 4)
Incremental revenue from
further processing $4.75
($5.60 - 0.85)
Incremental costs of further processing:
Processing costs $2.40
Selling costs $0.40 $2.80
Incremental contribution
margin from further
processing into silver polish
per jar $1.95
($4.75 - $2.80)
Point of indifference denotes the point where all options are equally profitable. But after that we will see that more processing is profitable. This is due to the fixed costs involved in further production.
Thus Minimum number of jars needed to produce to justify the further processing = Avoidable Fixed cost ÷ Incremental contribution
= $8,800 ÷ $1.95
= 4,513 approx.
The personal income is $700.
GIven:
Disposal personal income (dpi) = $800
Personal income taxes = $100
Solution:
Disposal personal income minus personal income taxes.
$800 - $100 = $700
So, the personal income or pi is equal to $700.
Answer:
EOQ= 300 units
Annual ordering cost= $3750
Annual holding cost =$3750
Re-order point =100 units
Explanation:
The Economic Order Quantity (EOQ) is the order size that minimizes the balance of ordering cost and holding cost. At the EOQ, the carrying cost is equal to the holding cost.
It is computed using he formulae below
EOQ = √ (2× Co× D)/Ch
EOQ = √ (2× 75× 15,000)/25
EOQ = 300 units
Annual holding cost
= EOQ/2 × holding cost per unit
= 300/2 × $25
=$3750
Annual ordering cost
= Annul demand/EOQ × ordering cost per order
=( 15,000/300)× $75
= $3750
Re-order Point
Maximum consumption × maximum lead time
=( 15,000/300)× 2 = 100 units
Answer:
optimum
Explanation:
An optimum decision as defined in the question can be defined as the most appropriate decision taken by a manager in the light of what they to be the most desirable consequences for the company.
This simply means that when an event or occurrence takes place in a company, the managers have the responsibility to take the best decisions for the company. The best decision is therefore called the optimum decision; that is the highest level of decision that solves the problem with the smallest of consequences.
Cheers.
Answer:
Answer is explained in the explanation section below.
Explanation:
Data Given:
Material Cost Per Trailer = $500
Material Cost plus Profit Per Trailer (15%) = $500 + 75 = $575
Selling Price = $1000
Labor Cost Remaining Per Trailer = $425
Formula to Calculate the number of Trailers:
X = X1 (
)
Where,
N = number of Trailers
S = Slope Parameter
X = $425
X1 = $700
So, First we need to find the slope parameter, in order to calculate the number of trailers to be built.
S = ![\frac{log \alpha }{log 2}](https://tex.z-dn.net/?f=%5Cfrac%7Blog%20%5Calpha%20%7D%7Blog%202%7D)
where, α = 0.85 rate of improvement.
Plugging in the values into the formula, we get:
S =
S = -0.234
Now, we can easily find the number of trailers.
X = X1 (
)
Plugging in the values,
425 = 700 x (
)
Solving For N, we get:
N = 8.4 Trailers
N = 9 Trailers.
Hence, 9 Trailers must be built in order to realize this rate of profit.