Mr. Botuchis asked you to find the assignment of programs to time slots that will maximize total advertising revenue. Optimal Solution 5:00-5:30 p.m. 5:30-6:00 p.m. 7:00-7:30 p.m. 8:00-8:30 p.m. -Select--- --Select--- --Select--- ---Select---

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter5: Network Models
Section5.3: Assignment Models
Problem 10P
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A local television station plans to drop four Friday evening programs at the end of the season. Steve Botuchis, the station manager, developed a list of six potential replacement
programs. Estimates of the advertising revenue ($) that can be expected for each of the new programs in the four vacated time slots are as follows.
Comedy Live
World News
NASCAR Live
Wall Street Today
5:30-6:00 p.m.
7:00-7:30 p.m.
8:00-8:30 p.m.
|---Select---
---Select---
---Select---
5:00-5:30 p.m.
|---Select---
5,000
v
7,500
8,500
7,000
7,000
5:30-6:00 p.m.
6,000
3,000
8,000
5,000
6,000
Hollywood Briefings
This Week in Hockey
Mr. Botuchis asked you to find the assignment of programs to time slots that will maximize total advertising revenue.
Optimal Solution
5:00-5:30 p.m.
8,000
7:00-7:30 p.m.
4,000
6,000
7,000
6,500
6,500
3,000
8:00-8:30 p.m.
4,500
4,000
5,500
8,000
5,000
6,000
7,000
Transcribed Image Text:A local television station plans to drop four Friday evening programs at the end of the season. Steve Botuchis, the station manager, developed a list of six potential replacement programs. Estimates of the advertising revenue ($) that can be expected for each of the new programs in the four vacated time slots are as follows. Comedy Live World News NASCAR Live Wall Street Today 5:30-6:00 p.m. 7:00-7:30 p.m. 8:00-8:30 p.m. |---Select--- ---Select--- ---Select--- 5:00-5:30 p.m. |---Select--- 5,000 v 7,500 8,500 7,000 7,000 5:30-6:00 p.m. 6,000 3,000 8,000 5,000 6,000 Hollywood Briefings This Week in Hockey Mr. Botuchis asked you to find the assignment of programs to time slots that will maximize total advertising revenue. Optimal Solution 5:00-5:30 p.m. 8,000 7:00-7:30 p.m. 4,000 6,000 7,000 6,500 6,500 3,000 8:00-8:30 p.m. 4,500 4,000 5,500 8,000 5,000 6,000 7,000
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