What are the constraints

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
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What are the constraints

A soft drink manufacturing company has three factories—one in Orlando, one in Tampa, and one in Port St. Lucie—that supply soft drink bottles to three warehouses located in the city of Miami. The associated per-unit transportation cost between the factories and the warehouses is provided in the table below.

**Transportation Costs ($)**

| Factories/Warehouse (W) | W1 | W2 | W3 |
|-------------------------|----|----|----|
| Orlando                 | 7  | 4  | 5  |
| Tampa                   | 7  | 6  | 4  |
| Port St. Lucie          | 5  | 5  | 6  |

- The factory in Orlando has a capacity of 14,000 units.
- The factory in Tampa has a capacity of 25,000 units.
- The factory in Port St. Lucie has a capacity of 23,000 units.

The requirements of the warehouses are:

| Warehouse | Requirement (Bottles) |
|-----------|-----------------------|
| W1        | 18,000                |
| W2        | 19,000                |
| W3        | 22,000                |

Determine how much of the company’s production should be shipped from each factory to each warehouse in order to minimize the total transportation cost.
Transcribed Image Text:A soft drink manufacturing company has three factories—one in Orlando, one in Tampa, and one in Port St. Lucie—that supply soft drink bottles to three warehouses located in the city of Miami. The associated per-unit transportation cost between the factories and the warehouses is provided in the table below. **Transportation Costs ($)** | Factories/Warehouse (W) | W1 | W2 | W3 | |-------------------------|----|----|----| | Orlando | 7 | 4 | 5 | | Tampa | 7 | 6 | 4 | | Port St. Lucie | 5 | 5 | 6 | - The factory in Orlando has a capacity of 14,000 units. - The factory in Tampa has a capacity of 25,000 units. - The factory in Port St. Lucie has a capacity of 23,000 units. The requirements of the warehouses are: | Warehouse | Requirement (Bottles) | |-----------|-----------------------| | W1 | 18,000 | | W2 | 19,000 | | W3 | 22,000 | Determine how much of the company’s production should be shipped from each factory to each warehouse in order to minimize the total transportation cost.
The image shows a spreadsheet aimed at optimizing a transportation problem involving three factories and three warehouses. Here's a detailed transcription:

### Transportation Costs ($)
- **Factories/Warehouse (W)**
  - Costco Warehouses: W1, W2, W3
  - **Orlando**
    - Costs: W1 - $7, W2 - $4, W3 - $5
  - **Tampa**
    - Costs: W1 - $7, W2 - $6, W3 - $4
  - **Port St. Lucie**
    - Costs: W1 - $5, W2 - $5, W3 - $6
- **Warehouse Requirement (Bottles)**
  - W1: 18,000 bottles
  - W2: 19,000 bottles
  - W3: 22,000 bottles

### Model
- **Production to be Shipped**
  - Factories: Orlando, Tampa, Port St. Lucie
  - Each factory's shipments are initially set to 0 for W1, W2, and W3.

### Capacity
- **Orlando** - 14,000 bottles
- **Tampa** - 25,000 bottles
- **Port St. Lucie** - 23,000 bottles

### Constraints
- The grid for "Constraints" does not have any specified constraints yet.

### Formula for Outcome
- The outcome is calculated using the formula:
  - `C11*B10+C21*C10+C31*D10+C12*B11+C22*D11+C32*D12+C13*B12+C23*C12+C33*D12`
  
This formula likely represents the total transportation cost, calculated by summing the products of shipment quantities and respective costs.

### Minimum
- The column titled "Minimum" is adjacent but currently without data.

This setup is typical for modeling transportation or supply chain problems where the goal is to minimize costs while meeting production and demand constraints.
Transcribed Image Text:The image shows a spreadsheet aimed at optimizing a transportation problem involving three factories and three warehouses. Here's a detailed transcription: ### Transportation Costs ($) - **Factories/Warehouse (W)** - Costco Warehouses: W1, W2, W3 - **Orlando** - Costs: W1 - $7, W2 - $4, W3 - $5 - **Tampa** - Costs: W1 - $7, W2 - $6, W3 - $4 - **Port St. Lucie** - Costs: W1 - $5, W2 - $5, W3 - $6 - **Warehouse Requirement (Bottles)** - W1: 18,000 bottles - W2: 19,000 bottles - W3: 22,000 bottles ### Model - **Production to be Shipped** - Factories: Orlando, Tampa, Port St. Lucie - Each factory's shipments are initially set to 0 for W1, W2, and W3. ### Capacity - **Orlando** - 14,000 bottles - **Tampa** - 25,000 bottles - **Port St. Lucie** - 23,000 bottles ### Constraints - The grid for "Constraints" does not have any specified constraints yet. ### Formula for Outcome - The outcome is calculated using the formula: - `C11*B10+C21*C10+C31*D10+C12*B11+C22*D11+C32*D12+C13*B12+C23*C12+C33*D12` This formula likely represents the total transportation cost, calculated by summing the products of shipment quantities and respective costs. ### Minimum - The column titled "Minimum" is adjacent but currently without data. This setup is typical for modeling transportation or supply chain problems where the goal is to minimize costs while meeting production and demand constraints.
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