Make or Buy. A sudden increase in the demand for smoke detectors has left Acme Alarms with insufficient capacity to meet demand. The company has seen monthly demand from its retailers for its electronic and battery-operated detectors rise to 20,000 and 10,000, respectively. Acme's production process involves three departments: fabrication, assembly, and shipping. The relevant quantitative data on production and prices are summarized as follows:
Department Monthly Hours Available Hours/Unit(Electronic) Hours/Unit (Battery)
Fabrication 2,000 0.15 0.10
Assembly 4,200 0.20 0.20
Shipping 2,500 0.10 0.15
Variable cost/unit $18.80 $16.00
Retail price $29.50 $28.00
The company also has the option to obtain additional units from a subcontractor, who has offered to supply up to 20,000 units per month in any combination of electric and battery-operated models, at a charge of $21.50 per unit. For this price, the subcontractor will test and ship its models directly to the retailers without using Acme's production process.
a. What are the maximum profit and the corresponding make/buy levels? (Fractional decisions are acceptable.)
b. Suppose that Acme requires that the solution provided by the model be implementable without any rounding off. That is, the solution must contain integer decisions. What are the optimal make/buy levels?
c. Is the solution in part (b) a rounded-off version of the fractional solution in part (a)?
Make or Buy Decision for Acme Alarms: A Comprehensive Analysis
Make or Buy Decision for Acme Alarms: A Comprehensive Analysis
Thesis Statement
In the face of unprecedented demand for smoke detectors, Acme Alarms must strategically evaluate whether to increase internal production capacity or outsource production to a subcontractor. This analysis will determine the most profitable approach for meeting demand while considering production constraints and costs.
Introduction
Acme Alarms is currently experiencing a surge in demand for its electronic and battery-operated smoke detectors. With the monthly demand reaching 20,000 units for electronic detectors and 10,000 units for battery-operated ones, the company faces a critical decision: Should it expand its production capacity or outsource to a subcontractor? This essay will analyze both options to identify the maximum profit levels and corresponding make/buy decisions.
Part A: Maximum Profit and Corresponding Make/Buy Levels
1. Calculate Production Capacity
To assess the feasibility of meeting demand internally, we need to analyze the availability of hours in each department against the time required per unit.
- Fabrication:
- Monthly Hours Available: 2,000
- Hours/Unit (Electronic): 0.15
- Hours/Unit (Battery): 0.10
[
\text{Max Units Fabrication} = \frac{2,000}{0.15} = 13,333 \text{ (Electronic)}
]
[
\text{Max Units Fabrication} = \frac{2,000}{0.10} = 20,000 \text{ (Battery)}
]
- Assembly:
- Monthly Hours Available: 4,200
- Hours/Unit (Electronic): 0.20
- Hours/Unit (Battery): 0.20
[
\text{Max Units Assembly} = \frac{4,200}{0.20} = 21,000 \text{ (Both)}
]
- Shipping:
- Monthly Hours Available: 2,500
- Hours/Unit (Electronic): 0.10
- Hours/Unit (Battery): 0.15
[
\text{Max Units Shipping} = \frac{2,500}{0.10} = 25,000 \text{ (Electronic)}
]
[
\text{Max Units Shipping} = \frac{2,500}{0.15} = 16,667 \text{ (Battery)}
]
2. Identify Constraints
Given the monthly demand of 20,000 electronic and 10,000 battery-operated detectors, we face constraints in Fabrication and Shipping departments:
- Fabrication can produce a maximum of 13,333 electronic and 20,000 battery-operated units.
- Shipping can handle up to 25,000 electronic and 16,667 battery-operated units.
3. Optimal Production Mix Calculation
[
\text{Profit from Electronic} = (\text{Price} - \text{Variable Cost}) * \text{Units Produced}
]
[
\text{Profit from Battery} = (\text{Price} - \text{Variable Cost}) * \text{Units Produced}
]
- Profit Calculations:
For Electronic:
- Profit per unit: $29.50 - $18.80 = $10.70
- Maximum profit if all electronic produced:
[
10.70 * 13,333 = $142,074
]
For Battery:
- Profit per unit: $28.00 - $16.00 = $12.00
- Maximum profit if all battery produced:
[
12.00 * 10,000 = $120,000
]
Total Profit from Internal Production
Using maximum limits:
- Electronic: Production = 13,333
- Battery: Production = 10,000
Total Profit:
[
$142,074 + $120,000 = $262,074
]
Outsourcing Decision
Outsourcing cost per unit from subcontractor is $21.50.
To find profits when buying:
- If Acme buys units from subcontractor:
[
Profit from Outsourced Electronic = (29.50 - 21.50) * x
]
[
Profit from Outsourced Battery = (28.00 - 21.50) * y
]
Setting total units to demand yields:
[
Profit = (8 * x) + (6.50 * y)
]
Cost-effectiveness indicates that producing in-house is better unless exceeding capacity where outsourcing becomes necessary.
Part B: Integer Decision Optimization
The requirement for integer solutions necessitates calculating how many units to produce versus buy without fractional units.
Production Constraints with Integer Decisions:
- Fabrication limits production closer to maximum capabilities.
- Rounding decisions may lead to loss of profit.
Assuming maximum capacity without exceeding limits leads to:
- Produce all feasible electronic units: 13,333
- Produce all battery-operated units: 10,000
If production runs are rounded down or adjusted for integer solutions:
1. Adjust for integer so that production remains feasible without exceeding limits.
By adjusting unit products according to capacities and trade-offs between production and outsourcing offers a comprehensive profit scenario.
Part C: Analysis of Integer Solutions Compared to Fractional Solutions
The integer solution may not always align directly with the fractional solution established earlier due to practical constraints in production lines or resource availabilities.
It's vital to evaluate whether rounding off affects overall profitability and operational efficiency. Often in integer solutions:
- Reductions in production lead to less than optimal profit margins.
- The integer solution may lead to a profit reduction due to constraints in producing fractional units.
Conclusion
In conclusion, Acme Alarms faces a critical decision regarding the production of smoke detectors amidst rising demand. By conducting a detailed analysis of both internal production and outsourcing options, Acme can determine the most profitable strategy. The findings suggest that while internal production is optimal under certain capacities, the ability to adjust for integer solutions must be considered to ensure operational feasibility and maximum profit retention.
Ultimately, a balanced approach that weighs production capabilities against outsourcing potential will provide Acme Alarms with the best route forward in navigating increased market demand effectively.