Question: Instructions: - For each problem, please come up with a LP formulation (decision variables, objective function, and constraints) with clearly defined decision variables, an objective
Instructions:
- For each problem, please come up with a LP formulation (decision variables, objective function, and constraints) with clearly defined decision variables, an objective function, and constraints.
- Solve each problem by Excel. Make sure to pay attention on the problem representation and layout. You also need to follow the color scheme of this class (data-green, decision variable-blue, objective function-red, formula-black).
Question:
The Aviston Electronics company manufactures motors for toys and small appliances. The marketing department is predicting sales of 6,100 units of the Dynamonster motor in the next quarter. This is a new high and meeting this demand will test Avistons production capacities. A Dynamonster is assembled from three components: a shaft, base, and cage. It is clear that some of these components will have to be purchased from outside suppliers because of limited in-house capacity. The variable in-house production cost per unit is compared with the outside purchase cost in the table below:
| Component | Outside Cost | Inside Cost |
| Shaft | 1.21 | 0.81 |
| Base | 2.50 | 2.30 |
| Cage | 1.95 | 1.45 |
Avistons plant consists of three departments. The time requirements in hours of each component in each department if manufactured in-house are summarized in the following table. The hours available for Dynamonster production are listed in the last row.
| Component | Cutting Department | Shaping Department | Fabrication Department |
| Shaft | 0.04 | 0.06 | 0.04 |
| Base | 0.08 | 0.02 | 0.05 |
| Cage | 0.07 | 0.09 | 0.06 |
| Capacity | 820 | 820 | 820 |
Formulate the problem as a linear program to find out the minimum cost production plan (you need to be more specific in your formulation) for Aviston.
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
