Without solving the BIP model, which crew could be scheduled to clean Buildings B and F?

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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### Multiple Choice Question

Please select one of the following options:

- ○ Crew 6
- ○ Crew 3
- ○ Crew 7
- ○ Crew 4
- ○ Crew 8

#### Instructions:
Click on the circle next to the crew you wish to select. Once you have made your choice, proceed to submit your answer for evaluation.
Transcribed Image Text:### Multiple Choice Question Please select one of the following options: - ○ Crew 6 - ○ Crew 3 - ○ Crew 7 - ○ Crew 4 - ○ Crew 8 #### Instructions: Click on the circle next to the crew you wish to select. Once you have made your choice, proceed to submit your answer for evaluation.
The university is scheduling cleaning crews for its ten buildings. Each crew has a different cost and is qualified to clean only certain buildings. There are eight possible crews to choose from in this case. The goal is to minimize costs while making sure that each building is cleaned. The management science department formulated the following linear programming model to help with the selection process.

**Objective Function:**

Minimize \( 200x_1 + 250x_2 + 225x_3 + 190x_4 + 215x_5 + 245x_6 + 235x_7 + 220x_8 \)

**Subject to:**

- \( x_1 + x_2 + x_5 + x_7 \geq 1 \)  {Building A constraint}
- \( x_1 + x_2 + x_3 \geq 1 \)  {Building B constraint}
- \( x_6 + x_8 \geq 1 \)  {Building C constraint}
- \( x_1 + x_4 + x_7 \geq 1 \)  {Building D constraint}
- \( x_2 + x_7 \geq 1 \)  {Building E constraint}
- \( x_3 + x_8 \geq 1 \)  {Building F constraint}
- \( x_2 + x_5 + x_7 \geq 1 \)  {Building G constraint}
- \( x_1 + x_4 + x_6 \geq 1 \)  {Building H constraint}
- \( x_1 + x_6 + x_8 \geq 1 \)  {Building I constraint}
- \( x_1 + x_2 + x_7 \geq 1 \)  {Building J constraint}

Where:

\( x_j = \begin{cases} 
1, & \text{if crew } j \text{ is selected} \\ 
0, & \text{otherwise} 
\end{cases} \)

**Question:**

Without solving the Binary Integer Programming (BIP) model, which crew could be scheduled to clean Buildings B and F?

**Analysis:**

- For Building B: Crews \( x_1 \), \( x_2 \), and \( x_3 \) are possible.
- For Building F: Crews \( x
Transcribed Image Text:The university is scheduling cleaning crews for its ten buildings. Each crew has a different cost and is qualified to clean only certain buildings. There are eight possible crews to choose from in this case. The goal is to minimize costs while making sure that each building is cleaned. The management science department formulated the following linear programming model to help with the selection process. **Objective Function:** Minimize \( 200x_1 + 250x_2 + 225x_3 + 190x_4 + 215x_5 + 245x_6 + 235x_7 + 220x_8 \) **Subject to:** - \( x_1 + x_2 + x_5 + x_7 \geq 1 \) {Building A constraint} - \( x_1 + x_2 + x_3 \geq 1 \) {Building B constraint} - \( x_6 + x_8 \geq 1 \) {Building C constraint} - \( x_1 + x_4 + x_7 \geq 1 \) {Building D constraint} - \( x_2 + x_7 \geq 1 \) {Building E constraint} - \( x_3 + x_8 \geq 1 \) {Building F constraint} - \( x_2 + x_5 + x_7 \geq 1 \) {Building G constraint} - \( x_1 + x_4 + x_6 \geq 1 \) {Building H constraint} - \( x_1 + x_6 + x_8 \geq 1 \) {Building I constraint} - \( x_1 + x_2 + x_7 \geq 1 \) {Building J constraint} Where: \( x_j = \begin{cases} 1, & \text{if crew } j \text{ is selected} \\ 0, & \text{otherwise} \end{cases} \) **Question:** Without solving the Binary Integer Programming (BIP) model, which crew could be scheduled to clean Buildings B and F? **Analysis:** - For Building B: Crews \( x_1 \), \( x_2 \), and \( x_3 \) are possible. - For Building F: Crews \( x
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