The Hills County, Michigan, superintendent of education is responsible for assigning students to the three high schools in his county. He recognizes the need to bus a certain number of students, for several sectors, A-E, of the county are beyond walking distance to a school. The superintendent partitions the county into five geographic sectors as he attempts to establish a plan that will minimize the total number of student miles traveled by bus. He also recognizes that if a student happens to live in a certain sector and is assigned to the high school in that sector, there is no need to bus him because he can walk to school. The three schools are located in sectors B, C, and E. The accompanying table reflects the number of high-school-age students living in each sector and the distance in miles from each sector to each school: Distance to School Sector School in Sector School in Sector School in Sector B C E A B C D E Total 7 0 4 5 12 5 4 0 4 7 6 12 7 7 0 Number of Students 700 500 100 800 400 2,500 Each high school has a capacity of 900 students. You have been asked to develop a linear programming model so as to minimize the total number of student miles traveled by bus. Decision variable X;;: Number of students living in sector i traveling to school located in sector j. The number of decision variables for the model =

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter5: Network Models
Section5.5: Shortest Path Models
Problem 30P
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The Hills County, Michigan, superintendent of education is responsible for assigning students to the three high schools
in
his county. He recognizes the need to bus a certain number of students, for several sectors, A - E, of the county are
beyond walking distance to a school. The superintendent partitions the county into five geographic sectors as he
attempts to establish a plan that will minimize the total number of student miles traveled by bus. He also recognizes that
if a student happens to live in a certain sector and is assigned to the high school in that sector, there is no need to bus
him because he can walk to school. The three schools are located in sectors B, C, and E.
The accompanying table reflects the number of high-school-age students living in each sector and the distance in miles
from each sector to each school:
Distance to School
Sector School in Sector School in Sector School in Sector
B
C
E
A
B
C
D
E
Total
7
0
4
5
12
5
4
0
4
7
6
12
7
7
0
Number of
Students
700
500
100
800
400
2,500
Each high school has a capacity of 900 students.
You have been asked to develop a linear programming model so as to minimize the total number of student miles
traveled by bus.
Decision variable X¡¡: Number of students living in sector i traveling to school located in sector j.
The number of decision variables for the model =
Transcribed Image Text:The Hills County, Michigan, superintendent of education is responsible for assigning students to the three high schools in his county. He recognizes the need to bus a certain number of students, for several sectors, A - E, of the county are beyond walking distance to a school. The superintendent partitions the county into five geographic sectors as he attempts to establish a plan that will minimize the total number of student miles traveled by bus. He also recognizes that if a student happens to live in a certain sector and is assigned to the high school in that sector, there is no need to bus him because he can walk to school. The three schools are located in sectors B, C, and E. The accompanying table reflects the number of high-school-age students living in each sector and the distance in miles from each sector to each school: Distance to School Sector School in Sector School in Sector School in Sector B C E A B C D E Total 7 0 4 5 12 5 4 0 4 7 6 12 7 7 0 Number of Students 700 500 100 800 400 2,500 Each high school has a capacity of 900 students. You have been asked to develop a linear programming model so as to minimize the total number of student miles traveled by bus. Decision variable X¡¡: Number of students living in sector i traveling to school located in sector j. The number of decision variables for the model =
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