Hartman Company is trying to determine how much of each of two
products should be produced over the coming planning period. The
only serious constraints involve labor availability in three
departments. Shown below is information concerning labor
availability, labor utilization, overtime, and product
profitability.
|
Product 1 |
Product 2 |
Regular Hours Available |
Overtime Hours Available |
Cost of Overtime per Hour |
|
|
Profit per Unit |
27 |
19 |
|||
|
Dept A hours/Unit |
1 |
0.35 |
94 |
17 |
$15 |
|
Dept B hours/Unit |
0.3 |
0.2 |
46 |
11 |
$17 |
|
Dept C hours/Unit |
0.2 |
0.5 |
51 |
11 |
$11 |
If all production is done in a standard workweek, then Profit per
Unit includes the cost to pay for the workforce. But, if overtime
is needed in each department, then the Profit Function needs to be
reduced by the Cost per Hour of Overtime in Each Department
multiplied by the Number of Overtime Hours Used in Each Department.
For example, if we used 5 hours of Overtime in Department A, we
would need to Subtract $15*5 from our Profit equation.
Setup and Solve the Linear Programming Problem and determine the
number of units of Product 1 and Product 2 to produce to Maximize
Profit. Add an Additional Constraint to your LP to make sure that
ALL of the Variables are
INTEGERS
Hint: You will need 5 Decision Variables, 2 of them to determine
the production quantities, and 3 of them to determine how much
overtime to use in each of the departments.
Max Profit = $
(Do Not Use Commas) Hint: Max Profit is Between $3328 and
$3578
Number of Units of Product 1 to Produce =
Number of Units of Product 2 to Produce =
Overtime in Department A =
hours
Overtime in Department B =
hours
Overtime in Department C =
hours
In: Operations Management
Layton Machining Company (LMC) manufactures two versions of a
basic machine tool. One version is a standard model and one is a
custom model, which requires some additional work and slightly
higher-grade materials. The manufacturing process at LMC requires
that each product go through two departments, Grinding and
Finishing. The process in each department uses a single type of
machine. Total machine capacity in Grinding is 51,000 hours, and in
Finishing, total machine capacity is 31,000 hours. (Each department
has multiple machines.) Total market demand is limited to 102,000
standard units and 122,000 custom units monthly. LMC is currently
producing 92,000 standard units and 53,000 custom units each month.
Cost and machine-usage data for the two products follow:
| Standard | Custom | Total | |||||||
| Price | $ | 6.70 | $ | 8.70 | |||||
| Less variable costs per unit | |||||||||
| Material | 1.55 | 2.05 | |||||||
| Labor | 1.30 | 1.55 | |||||||
| Overhead | 1.80 | 2.55 | |||||||
| Contribution margin per unit | $ | 2.05 | $ | 2.55 | |||||
| Fixed costs | |||||||||
| Manufacturing | $ | 77,000 | |||||||
| Marketing and administrative | 38,000 | ||||||||
| $ | 115,000 | ||||||||
| Grinding machine hours per unit | 0.2 | 0.3 | |||||||
| Finishing machine hours per unit | 0.1 | 0.4 | |||||||
| Grinding machine hours used | 34,300 | ||||||||
| Grinding machine hours available | 51,000 | ||||||||
| Finishing machine hours used | 30,400 | ||||||||
| Finishing machine hours available | 31,000 | ||||||||
| Quantity produced | 92,000 | 53,000 | |||||||
| Maximum demand | 102,000 | 122,000 | |||||||
| Profit | $ | 208,750 | |||||||
a. What is the optimal production schedule for LMC? In other words, how many standard units and custom units should the company produce each month to maximize monthly profit?
Standard Units ____
Custom Units ____
b. If LMC produces at the level found in requirement (a), how much will monthly profit increase over the current production schedule?
Increase profits by ____
In: Accounting
Eliminating Entries, Previously Unreported Intangibles, Goodwill
Pirin Company acquires all of the voting stock of Skoda Automotive for $40 million in cash. Skoda’s balance sheet accounts at the date of acquisition are listed below.
| (in millions) | Dr (Cr) |
|---|---|
| Current assets | $1.2 |
| Property, plant and equipment | 10.8 |
| Current liabilities | (2.0) |
| Long-term liabilities | (7.9) |
| Capital stock | (0.8) |
| Retained earnings | (1.6) |
| Accumulated other comprehensive income | 0.3 |
| Total | $0.0 |
Date-of-acquisition book values approximate fair value for all reported assets and liabilities. The following previously unreported intangibles are identified as belonging to Skoda, along with their estimated fair values at the date of acquisition (in millions):
| Synergies with Pirin technologies | $2.0 |
| Order backlogs | 1.5 |
| Technical expertise of workforce | 8.0 |
| Cost savings on future contracts | 3.5 |
| Developed technology | 6.0 |
Required
a. Prepare a schedule calculating the goodwill to be recognized for this acquisition.
Do not use negative signs with your answers.
Enter answers in millions (do not round answers).
| Acquisition cost | $Answer | ||
| Skoda’s book value | Answer | ||
| Excess of acquisition cost over book value | Answer | ||
| Excess of fair value over book value: | |||
| Order backlogs | Answer | ||
| Developed technology | Answer | Answer | |
| Goodwill | $Answer |
b. Prepare the eliminating entries necessary to consolidate the balance sheet accounts of Pirin and Skoda at the date of acquisition.
Enter answers in millions. Do not round answers.
| Ref. | Description | Debit | Credit | |
|---|---|---|---|---|
| (E) | Capital stock | Answer | Answer | |
| AnswerAOCIGoodwillInvestment in SkodaRetained earningsInvestment in Skoda | Answer | Answer | ||
| AnswerAOCIGoodwillInvestment in SkodaRetained earningsInvestment in Skoda | Answer | Answer | ||
| Investment in Skoda | Answer | Answer | ||
| (R) | Order backlogs | Answer | Answer | |
| Developed technology | Answer | Answer | ||
| AnswerAOCIGoodwillInvestment in SkodaRetained earningsInvestment in Skoda | Answer | Answer | ||
| AnswerAOCIGoodwillInvestment in SkodaRetained earningsInvestment in Skoda | Answer | Answer | ||
In: Accounting
Investment companies and performance evaluation
1) Consider two different hedge funds with the following data related to performance:
Hedge fund Alpha Beta
Fund A 5% 1.6
Fund B 3% 0.8
Assuming that beta is consistent with the type of
investing we expected in both cases, which fund performed
better.
A. Fund A, because it had the higher return
B. Fund A, because it had the higher alpha
C. Fund B, because its alpha is more impressive than Fund A when we
consider how much less risk the fund took.
D. Fund B, because the beta is closer to 1.
2) When we analyze the performance of an actively managed mutual fund we find that the fund generated a beta of 1 and an alpha of zero.
A. this result shows that the manager took no risk when investing
B. this result shows that the manager did not add any value to performance with his/her decision-making
C. both (A) and (B) are true
D. none of the above
3) Consider two different hedge funds with the following data related to performance:
Hedge fund Alpha Beta
Fund A 1% 0.8
Fund B 3% -0.3
Assuming that beta is consistent with the type of investing we
expected in both cases, which fund performed better?
A. Fund A, because Fund B should have negative alpha to
match its negative beta
B. Fund A, because it had a higher beta than Fund B
C. Fund B, because its alpha is higher than Fund A.
D. Fund A, because the beta is closer to 1.
4) A positive alpha for a mutual fund means:
A. the fund invested in high-risk strategies
B. the fund manager’s performance was bad
C. both (A) and (B)
D. none of the above
In: Finance
Question 6 options:
Hartman Company is trying to determine how much of each of two
products should be produced over the coming planning period. The
only serious constraints involve labor availability in three
departments. Shown below is information concerning labor
availability, labor utilization, overtime, and product
profitability.
|
Product 1 |
Product 2 |
Regular Hours Available |
Overtime Hours Available |
Cost of Overtime per Hour |
|
|
Profit per Unit |
32 |
16 |
|||
|
Dept A hours/Unit |
1 |
0.35 |
90 |
19 |
$13 |
|
Dept B hours/Unit |
0.3 |
0.2 |
41 |
11 |
$21 |
|
Dept C hours/Unit |
0.2 |
0.5 |
59 |
17 |
$14 |
If all production is done in a standard workweek, then Profit per
Unit includes the cost to pay for the workforce. But, if overtime
is needed in each department, then the Profit Function needs to be
reduced by the Cost per Hour of Overtime in Each Department
multiplied by the Number of Overtime Hours Used in Each Department.
For example, if we used 5 hours of Overtime in Department A, we
would need to Subtract $13*5 from our Profit equation.
Setup and Solve the Linear Programming Problem and determine the
number of units of Product 1 and Product 2 to produce to Maximize
Profit. Add an Additional Constraint to your LP to make sure that
ALL of the Variables are
INTEGERS
Hint: You will need 5 Decision Variables, 2 of them to determine
the production quantities, and 3 of them to determine how much
overtime to use in each of the departments.
Max Profit = $
(Do Not Use Commas) Hint: Max Profit is Between $3393 and
$3743
Number of Units of Product 1 to Produce =
Number of Units of Product 2 to Produce =
Overtime in Department A =
hours
Overtime in Department B =
hours
Overtime in Department C =
hours
In: Operations Management
Problem 13-09 (Algorithmic)
Myrtle Air Express decided to offer direct service from Cleveland to Myrtle Beach. Management must decide between a full-price service using the company’s new fleet of jet aircraft and a discount service using smaller capacity commuter planes. It is clear that the best choice depends on the market reaction to the service Myrtle Air offers. Management developed estimates of the contribution to profit for each type of service based upon two possible levels of demand for service to Myrtle Beach: strong and weak. The following table shows the estimated quarterly profits (in thousands of dollars):
| Demand for Service | ||
| Service | Strong | Weak |
| Full price | $1320 | -$550 |
| Discount | $980 | $440 |
| Optimistic approach | |
| Conservative approach | |
| Minimax regret approach |
In: Operations Management
Question 9 options:
Hartman Company is trying to determine how much of each of two
products should be produced over the coming planning period. The
only serious constraints involve labor availability in three
departments. Shown below is information concerning labor
availability, labor utilization, overtime, and product
profitability.
|
Product 1 |
Product 2 |
Regular Hours Available |
Overtime Hours Available |
Cost of Overtime per Hour |
|
|
Profit per Unit |
34 |
18 |
|||
|
Dept A hours/Unit |
1 |
0.35 |
107 |
18 |
$17 |
|
Dept B hours/Unit |
0.3 |
0.2 |
48 |
10 |
$26 |
|
Dept C hours/Unit |
0.2 |
0.5 |
55 |
11 |
$7 |
If all production is done in a standard workweek, then Profit per
Unit includes the cost to pay for the workforce. But, if overtime
is needed in each department, then the Profit Function needs to be
reduced by the Cost per Hour of Overtime in Each Department
multiplied by the Number of Overtime Hours Used in Each Department.
For example, if we used 5 hours of Overtime in Department A, we
would need to Subtract $17*5 from our Profit equation.
Setup and Solve the Linear Programming Problem and determine the
number of units of Product 1 and Product 2 to produce to Maximize
Profit. Add an Additional Constraint to your LP to make sure that
ALL of the Variables are
INTEGERS
Hint: You will need 5 Decision Variables, 2 of them to determine
the production quantities, and 3 of them to determine how much
overtime to use in each of the departments.
Max Profit = $
(Do Not Use Commas) Hint: Max Profit is Between $4237 and
$4537
Number of Units of Product 1 to Produce =
Number of Units of Product 2 to Produce =
Overtime in Department A =
hours
Overtime in Department B =
hours
Overtime in Department C =
In: Operations Management
Hartman Company is trying to determine how much of each of two
products should be produced over the coming planning period. The
only serious constraints involve labor availability in three
departments. Shown below is information concerning labor
availability, labor utilization, overtime, and product
profitability.
|
Product 1 |
Product 2 |
Regular Hours Available |
Overtime Hours Available |
Cost of Overtime per Hour |
|
|
Profit per Unit |
29 |
17 |
|||
|
Dept A hours/Unit |
1 |
0.35 |
95 |
12 |
$22 |
|
Dept B hours/Unit |
0.3 |
0.2 |
49 |
10 |
$17 |
|
Dept C hours/Unit |
0.2 |
0.5 |
58 |
9 |
$15 |
If all production is done in a standard workweek, then Profit
per Unit includes the cost to pay for the workforce. But, if
overtime is needed in each department, then the Profit Function
needs to be reduced by the Cost per Hour of Overtime in Each
Department multiplied by the Number of Overtime Hours Used in Each
Department. For example, if we used 5 hours of Overtime in
Department A, we would need to Subtract $22*5 from our Profit
equation.
Setup and Solve the Linear Programming Problem and determine the
number of units of Product 1 and Product 2 to produce to Maximize
Profit. Add an Additional Constraint to your LP to make sure that
ALL of the Variables are
INTEGERS
Hint: You will need 5 Decision Variables, 2 of them to determine
the production quantities, and 3 of them to determine how much
overtime to use in each of the departments.
Max Profit = $
(Do Not Use Commas) Hint: Max Profit is Between $3169 and
$3569
Number of Units of Product 1 to Produce =
Number of Units of Product 2 to Produce =
Overtime in Department A =
Overtime in Department B =
Overtime in Department C =
(hours)
In: Operations Management
The Economic Order Quantity (EOQ) model is a classical model used for controlling inventory and satisfying demand. Costs included in the model are holding cost per unit, ordering cost and the cost of goods ordered. The assumptions for that model are that only a single item is considered, that the entire quantity ordered arrives at one time, that the demand for the item is constant over time, and that no shortages are allowed.
Suppose we relax the first assumption and allow for multiple items that are independent except for a restriction on the amount of space available to store the products. The following model describes this situation:
| Let Dj = | annual demand for item j |
| Cj = | unit cost of item j |
| Sj = | cost per order placed for item j |
| i = | inventory carrying charge as a percentage of the cost per unit |
| W = | the maximum amount of space available for all goods |
| wj = | space required for item j |
The decision variables are Qj, the amount of item j to order. The model is:
In the objective function, the first term is the annual cost of goods, the second is the annual ordering cost (Dj/Qj is the number of orders), and the last term is the annual inventory holding cost (Qj/2 is the average amount of inventory).
Set up a spreadsheet model for the following data:
| Item 1 | Item 2 | Item 3 | |
| Annual Demand | 2,500 | 2,500 | 1,500 |
| Item Cost ($) | 100 | 50 | 80 |
| Order Cost ($) | 165 | 145 | 125 |
| Space Required (sq. feet) | 50 | 25 | 40 |
W = $21,000
i = 0.3
Solve the problem using Excel Solver. Hint: You will need to start with decision variable values that are greater than 0 for Solver to find a solution.
If required, round your answers to two decimal places.
Optimal Solution:
Q1 =
Q2 =
Q3 =
If required, round your answer to the nearest dollar. Do not round intermediate calculations.
Total cost = $
In: Operations Management
The Economic Order Quantity (EOQ) model is a classical model used for controlling inventory and satisfying demand. Costs included in the model are holding cost per unit, ordering cost and the cost of goods ordered. The assumptions for that model are that only a single item is considered, that the entire quantity ordered arrives at one time, that the demand for the item is constant over time, and that no shortages are allowed.
Suppose we relax the first assumption and allow for multiple items that are independent except for a restriction on the amount of space available to store the products. The following model describes this situation:
| Let Dj = | annual demand for item j |
| Cj = | unit cost of item j |
| Sj = | cost per order placed for item j |
| i = | inventory carrying charge as a percentage of the cost per unit |
| W = | the maximum amount of space available for all goods |
| wj = | space required for item j |
The decision variables are Qj, the amount of item j to order. The model is:
In the objective function, the first term is the annual cost of goods, the second is the annual ordering cost (Dj/Qj is the number of orders), and the last term is the annual inventory holding cost (Qj/2 is the average amount of inventory).
Set up a spreadsheet model for the following data:
| Item 1 | Item 2 | Item 3 | |
| Annual Demand | 2,500 | 2,500 | 1,500 |
| Item Cost ($) | 100 | 50 | 80 |
| Order Cost ($) | 165 | 145 | 125 |
| Space Required (sq. feet) | 50 | 25 | 40 |
W = $21,000
i = 0.3
Solve the problem using Excel Solver. Hint: You will need to start with decision variable values that are greater than 0 for Solver to find a solution.
If required, round your answers to two decimal places.
Optimal Solution:
Q1 =
Q2 =
Q3 =
If required, round your answer to the nearest dollar. Do not round intermediate calculations.
Total cost = $
In: Operations Management