Deck 6: Transportation, Assignment, and Transshipment Problems

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Question
Transportation and assignment problems can be solved by the simplex method, though special purpose algorithms offer an easier solution procedure.
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Question
The total supply must equal total demand in a transportation problem in order to solve it by the transportation algorithm.
Question
The total supply must be less than total demand in a transportation problem in order to solve it by the transportation algorithm.
Question
The total supply must be greater than total demand in a transportation problem in order to solve it by the transportation algorithm.
Question
In a transportation problem, if the total supply is greater than total demand, all constraints in its formulation can be written as equality constraints.
Question
In a transportation problem, if the total supply is equal to total demand, all constraints in its formulation can be written as equality constraints.
Question
The linear programming formulation of a transportation problem, in general, has demand constraints which are either \geq or == type.
Question
The linear programming formulation of a transportation problem, in general, has supply constraints which are either \geq or == type.
Question
Scheduling production in different time periods of a planning horizon can be formulated as a transportation problem.
Question
Transportation problem formulation can be used to help make location decisions when the total transportation cost is significant.
Question
Transportation problem formulation can be used to solve traffic congestion coming out of a ballpark at the end of a ball game.
Question
XYZ Inc. manufactures desks and chairs in all its four furniture manufacturing plants. It has 5 warehouses across the country. One transportation problem can be used to determine how to ship desks and chairs.
Question
In a linear programming formulation of the transshipment problem, if the total supply equals total demand, then all constraints could just be equality constraints.
Question
In a linear programming formulation of the transshipment problem, if the total supply is greater than the total demand, then all constraints could just be \geq type constraints.
Question
A transshipment problem can be solved using the transportation formulation, as long as we are assured that no material stays in the intermediate points permanently.
Question
The transshipment problem formulation may be used in place of transportation formulation when there are two products that are being shipped, each having its own per unit cost of shipping.
Question
In a linear programming formulation of the assignment problem, the RHS of all constraints is greater than 1.
Question
In a linear programming formulation of the assignment problem, the RHS of all constraints is equal to 1.
Question
The number of possible assignments in an assignment problem with 4 jobs and 4 workers to assign them to would be 16.
Question
An assignment problem with 6 projects and 7 potential managers who can handle each of the projects, though with differing efficiency, cannot be solved since we would not know which manager to omit from assignment.
Question
An assignment problem with 6 projects and 7 potential managers who can handle each of the projects, though with differing efficiency, can be solved by adding a dummy project.
Question
An assignment problem with 6 projects and 7 potential managers who can handle each of the projects, though with differing efficiency, can be solved by adding a dummy manager.
Question
In a transportation problem with 5 supply points, 3 demand points, and total supply equaling total demand, the number of decision variables will be

A) 5
B) 8
C) 15
D) 125
Question
In a transportation problem with 5 supply points, 3 demand points, and total supply greater than total demand, the number of decision variables will be

A) 5
B) 9
C) 15
D) 20
Question
In a transportation problem with 5 supply points, 3 demand points, and total supply less than total demand, the number of decision variables will be

A) 6
B) 9
C) 15
D) 18
Question
If one formulates a transportation problem with 5 supply points, 3 demand points, and total supply greater than total demand, as a linear programming problem, the number of constraints will be

A) 5
B) 8
C) 3
D) 15
Question
Using transportation problem formulation to help a location decision where there are two potential locations to choose from, one has to solve

A) 3
B) 2
C) 1
D) several transportation problems.
Question
In the transportation problem model for production planning discussed in your text, if there are 3 periods and 4 methods of manufacturing in each period, how many rows will be needed?

A) 12
B) 7
C) 13
D) 8
Question
In the transportation problem model for production planning discussed in your text, if there are 3 periods and 4 methods of manufacturing in each period, how many columns will be needed?

A) 3
B) 4
C) 5
D) 8
Question
In the linear programming formulation of the transportation problem, cost of transporting one unit of the material from a supply point to a demand point appears in

A) the objective function only
B) the constraints only
C) both objective function and constraints
D) neither objective function nor constraints
Question
Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with Xij\mathrm{X}_{i j} denoting the amount shipped from supply point ii (1 or 2 ) to demand point j(1,2j(1,2 , or 3 ), the correct constraint to make sure that supply available in supply point \# 2 will be fully used is
 <strong>Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with  \mathrm{X}_{i j}  denoting the amount shipped from supply point  i  (1 or 2 ) to demand point  j(1,2 , or 3 ), the correct constraint to make sure that supply available in supply point \# 2 will be fully used is  </strong> A)  7 X_{21}+2 X_{22}+5 X_{23}=300  B)  X_{21}+X_{22}+X_{23}=300  C)  7 X_{21}+2 X_{22}+5 X_{23} \geq 300  D)  X_{21}+X_{22}+X_{23} \geq 300  <div style=padding-top: 35px>

A) 7X21+2X22+5X23=3007 X_{21}+2 X_{22}+5 X_{23}=300
B) X21+X22+X23=300X_{21}+X_{22}+X_{23}=300
C) 7X21+2X22+5X233007 X_{21}+2 X_{22}+5 X_{23} \geq 300
D) X21+X22+X23300X_{21}+X_{22}+X_{23} \geq 300
Question
Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with Xij\mathrm{X}_{i j} denoting the amount shipped from supply point ii (1 or 2 ) to demand point j(1,2j(1,2 , or 3 ), the correct constraint to make sure that demand in demand point 1 is fully met is
 <strong>Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with  \mathrm{X}_{i j}  denoting the amount shipped from supply point  i  (1 or 2 ) to demand point  j(1,2 , or 3 ), the correct constraint to make sure that demand in demand point 1 is fully met is  </strong> A)  5 X_{11}+7 X_{21}=100  B)  X_{11}+X_{21} \leq 100  C)  5 X_{11}+7 X_{21} \leq 100  D)  X_{11}+X_{21}=100  <div style=padding-top: 35px>

A) 5X11+7X21=1005 X_{11}+7 X_{21}=100
B) X11+X21100X_{11}+X_{21} \leq 100
C) 5X11+7X211005 X_{11}+7 X_{21} \leq 100
D) X11+X21=100X_{11}+X_{21}=100
Question
Data on cost, demand and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with Xij\mathrm{X}_{i j} denoting the amount shipped from supply point ii (1 or 2 )) to demand point j(1,2j(1,2 , or 3 )) , the correct constraint to make sure that demand in demand point 1 is fully met is
 <strong>Data on cost, demand and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with  \mathrm{X}_{i j}  denoting the amount shipped from supply point  i  (1 or 2 )  to demand point  j(1,2 , or 3 ) , the correct constraint to make sure that demand in demand point 1 is fully met is  </strong> A)  5 X_{11}+7 X_{21}=100  B)  X_{11}+X_{21} \leq 100  C)  5 X_{11}+7 X_{21} \leq 100  D)  X_{11}+X_{21}=100  <div style=padding-top: 35px>

A) 5X11+7X21=1005 X_{11}+7 X_{21}=100
B) X11+X21100X_{11}+X_{21} \leq 100
C) 5X11+7X211005 X_{11}+7 X_{21} \leq 100
D) X11+X21=100X_{11}+X_{21}=100
Question
Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with Xij\mathrm{X}_{i j} denoting the amount shipped from supply point ii ( 1 or 2 ) to demand point j(1,2j(1,2 or 3 ), the correct objective function is
 <strong>Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with  \mathrm{X}_{i j}  denoting the amount shipped from supply point  i  ( 1 or 2 ) to demand point  j(1,2  or 3 ), the correct objective function is  </strong> A)  \operatorname{Max}: 5 X_{11}+6 X_{12}+3 X_{13}+7 X_{21}+2 X_{22}+5 X_{23}  B)  \operatorname{Min}: 5 X_{11}+6 X_{12}+3 X_{13}+7 X_{21}+2 X_{22}+5 X_{23}  C)  \operatorname{Max}: X_{11}+X_{12}+X_{13}+X_{21}+X_{22}+X_{23}  D)  \operatorname{Min}: X_{11}+X_{12}+X_{13}+X_{21}+X_{22}+X_{23}  <div style=padding-top: 35px>

A) Max:5X11+6X12+3X13+7X21+2X22+5X23\operatorname{Max}: 5 X_{11}+6 X_{12}+3 X_{13}+7 X_{21}+2 X_{22}+5 X_{23}
B) Min:5X11+6X12+3X13+7X21+2X22+5X23\operatorname{Min}: 5 X_{11}+6 X_{12}+3 X_{13}+7 X_{21}+2 X_{22}+5 X_{23}
C) Max:X11+X12+X13+X21+X22+X23\operatorname{Max}: X_{11}+X_{12}+X_{13}+X_{21}+X_{22}+X_{23}
D) Min:X11+X12+X13+X21+X22+X23\operatorname{Min}: X_{11}+X_{12}+X_{13}+X_{21}+X_{22}+X_{23}
Question
In a transportation problem with total demand equal to 1200 and total supply equal to 900 , we should add a with a quantity equal to to convert it to a balanced problem.

A) dummy supply, 300
B) dummy supply, 2100
C) dummy demand, 300
D) dummy demand, 2100
Question
In a transportation problem with total demand equal to 900 and total supply equal to 1200 , we should add a with a quantity equal to to convert it to a balanced problem.

A) dummy supply, 300
B) dummy supply , 2100
C) dummy demand, 300
D) dummy demand, 2100
Question
In a transportation problem with total demand equal to 900 and total supply equal to 1200 , the cost associated with all dummy cells will be

A) 0
B) equal
C) a very large positive number
D) equal and it could be any numerical value
Question
In a transportation problem, if supply point 2 cannot ship to demand point 3 , all other things remaining the same as a regular transportation problem, the problem

A) cannot be solved
B) can be solved by letting the cost from supply point 2 to demand point 3 to be 0
C) can be solved by letting the cost from supply point 2 to demand point 3 to be a very high number
D) can be solved by removing supply point 2 from the problem and leaving all other things the same
Question
Which one of the following is not a required assumption in the formulation of transportation problems as a linear program?

A) Total supply equals total demand
B) Material transported is homogeneous
C) Per unit transportation cost from an origin to destination is constant
D) Total transportation cost from an origin to destination linearly increases with quantity shipped
Question
In a transshipment problem the intermediate points are treated as

A) additional origins
B) additional destinations
C) both origins and destinations
D) neither origins nor destinations
Question
In order to solve a transshipment problem, the number of intermediate points

A) must be less than the number of origins
B) must be less than the number of destinations
C) must be less than both the number of origins and destinations
D) can be any number and is not related to number of origins or destinations
Question
In the linear programming formulation of the transshipment problem, there are a set of constraints that require the total shipment to each intermediate point be the total shipment out of each intermediate point.

A) greater than
B) less than
C) equal to
D) unequal to
Question
In the linear programming formulation of the transshipment problem, demand at the destination points is required to be satisfied from shipment from

A) origins
B) intermediate points
C) either origins or intermediated points
D) origins or external sources
Question
A transshipment problem has 3 origins, 2 intermediate points, and 4 destinations. The number of constraints in the linear programming formulation crafted from the principles discussed in the text will be

A) 7
B) 9
C) 5
D) 14
Question
A transshipment problem has 3 origins, 4 intermediate points, and 2 destinations. In the linear programming formulation, using the principles discussed in the text, the number of constraints with 0 on the RHS will be

A) 3
B) 2
C) 7
D) 4
Question
The number of possible assignments in an assignment problem with 6 jobs and 6 workers to assign them to would be

A) 36
B) 12
C) 120
D) 720
Question
The number of constraints in the standard linear programming formulation of a 6 worker- 6 jobs assignment problem using the approach presented in the text will be

A) 12
B) 36
C) 120
D) 720
Question
Using the approach presented in the text, the number of decision variables required for formulation of an assignment problem with 6 jobs and 6 workers will be

A) 36
B) 12
C) 120
D) 720
Question
In an assignment problem, suppose we have 5 projects and a potential list of 6 managers who could be the project manager for any one of the projects. The problem can be formulated by adding a thus converting it to a standard assignment problem.

A) dummy project
B) dummy manager
C) dummy cost
D) dummy utility
Question
Coast to Central Plains Inc. has warehouses in Piscataway, San Francisco, and Miami. It supplies the demand at four distribution centers in Austin, Lafayette, Toledo, and Knoxville from these warehouses. Data on cost, demand, and supply are given in the table below. Solve this using excel and report the optimal solution and the total cost corresponding to the optimal solution.
Coast to Central Plains Inc. has warehouses in Piscataway, San Francisco, and Miami. It supplies the demand at four distribution centers in Austin, Lafayette, Toledo, and Knoxville from these warehouses. Data on cost, demand, and supply are given in the table below. Solve this using excel and report the optimal solution and the total cost corresponding to the optimal solution.  <div style=padding-top: 35px>
Question
Coast to Central Plains Inc. has warehouses in Piscataway, San Francisco, and Miami. It supplies the demand at four distribution centers in Austin, Lafayette, Toledo, and Knoxville from these warehouses. Data on cost, demand, and supply are given in the table below. Solve this using excel and report the optimal solution and the total cost corresponding to the optimal solution.
Coast to Central Plains Inc. has warehouses in Piscataway, San Francisco, and Miami. It supplies the demand at four distribution centers in Austin, Lafayette, Toledo, and Knoxville from these warehouses. Data on cost, demand, and supply are given in the table below. Solve this using excel and report the optimal solution and the total cost corresponding to the optimal solution.  <div style=padding-top: 35px>
Question
Carlos Ginsburg, a manger at Transship Inc., recently returned from a seminar on transshipment type problems. He wanted to cast his company's shipping plan into a transshipment problem. Formulate the problem and help Carlos get his promotion.
Carlos Ginsburg, a manger at Transship Inc., recently returned from a seminar on transshipment type problems. He wanted to cast his company's shipping plan into a transshipment problem. Formulate the problem and help Carlos get his promotion.  <div style=padding-top: 35px>
Question
Phil Chandler Insurance Agency has 4 potential clients to allocate among 5 salesmen. The expected sales for each salesman-client allocation is given in the following table. Using the assignment model, find the best assignment of salesman to client.
Phil Chandler Insurance Agency has 4 potential clients to allocate among 5 salesmen. The expected sales for each salesman-client allocation is given in the following table. Using the assignment model, find the best assignment of salesman to client.  <div style=padding-top: 35px>
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Deck 6: Transportation, Assignment, and Transshipment Problems
1
Transportation and assignment problems can be solved by the simplex method, though special purpose algorithms offer an easier solution procedure.
True
2
The total supply must equal total demand in a transportation problem in order to solve it by the transportation algorithm.
False
3
The total supply must be less than total demand in a transportation problem in order to solve it by the transportation algorithm.
False
4
The total supply must be greater than total demand in a transportation problem in order to solve it by the transportation algorithm.
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5
In a transportation problem, if the total supply is greater than total demand, all constraints in its formulation can be written as equality constraints.
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6
In a transportation problem, if the total supply is equal to total demand, all constraints in its formulation can be written as equality constraints.
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7
The linear programming formulation of a transportation problem, in general, has demand constraints which are either \geq or == type.
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8
The linear programming formulation of a transportation problem, in general, has supply constraints which are either \geq or == type.
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9
Scheduling production in different time periods of a planning horizon can be formulated as a transportation problem.
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10
Transportation problem formulation can be used to help make location decisions when the total transportation cost is significant.
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11
Transportation problem formulation can be used to solve traffic congestion coming out of a ballpark at the end of a ball game.
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12
XYZ Inc. manufactures desks and chairs in all its four furniture manufacturing plants. It has 5 warehouses across the country. One transportation problem can be used to determine how to ship desks and chairs.
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13
In a linear programming formulation of the transshipment problem, if the total supply equals total demand, then all constraints could just be equality constraints.
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14
In a linear programming formulation of the transshipment problem, if the total supply is greater than the total demand, then all constraints could just be \geq type constraints.
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15
A transshipment problem can be solved using the transportation formulation, as long as we are assured that no material stays in the intermediate points permanently.
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16
The transshipment problem formulation may be used in place of transportation formulation when there are two products that are being shipped, each having its own per unit cost of shipping.
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17
In a linear programming formulation of the assignment problem, the RHS of all constraints is greater than 1.
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18
In a linear programming formulation of the assignment problem, the RHS of all constraints is equal to 1.
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19
The number of possible assignments in an assignment problem with 4 jobs and 4 workers to assign them to would be 16.
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20
An assignment problem with 6 projects and 7 potential managers who can handle each of the projects, though with differing efficiency, cannot be solved since we would not know which manager to omit from assignment.
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21
An assignment problem with 6 projects and 7 potential managers who can handle each of the projects, though with differing efficiency, can be solved by adding a dummy project.
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22
An assignment problem with 6 projects and 7 potential managers who can handle each of the projects, though with differing efficiency, can be solved by adding a dummy manager.
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23
In a transportation problem with 5 supply points, 3 demand points, and total supply equaling total demand, the number of decision variables will be

A) 5
B) 8
C) 15
D) 125
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24
In a transportation problem with 5 supply points, 3 demand points, and total supply greater than total demand, the number of decision variables will be

A) 5
B) 9
C) 15
D) 20
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25
In a transportation problem with 5 supply points, 3 demand points, and total supply less than total demand, the number of decision variables will be

A) 6
B) 9
C) 15
D) 18
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26
If one formulates a transportation problem with 5 supply points, 3 demand points, and total supply greater than total demand, as a linear programming problem, the number of constraints will be

A) 5
B) 8
C) 3
D) 15
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27
Using transportation problem formulation to help a location decision where there are two potential locations to choose from, one has to solve

A) 3
B) 2
C) 1
D) several transportation problems.
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28
In the transportation problem model for production planning discussed in your text, if there are 3 periods and 4 methods of manufacturing in each period, how many rows will be needed?

A) 12
B) 7
C) 13
D) 8
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29
In the transportation problem model for production planning discussed in your text, if there are 3 periods and 4 methods of manufacturing in each period, how many columns will be needed?

A) 3
B) 4
C) 5
D) 8
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30
In the linear programming formulation of the transportation problem, cost of transporting one unit of the material from a supply point to a demand point appears in

A) the objective function only
B) the constraints only
C) both objective function and constraints
D) neither objective function nor constraints
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31
Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with Xij\mathrm{X}_{i j} denoting the amount shipped from supply point ii (1 or 2 ) to demand point j(1,2j(1,2 , or 3 ), the correct constraint to make sure that supply available in supply point \# 2 will be fully used is
 <strong>Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with  \mathrm{X}_{i j}  denoting the amount shipped from supply point  i  (1 or 2 ) to demand point  j(1,2 , or 3 ), the correct constraint to make sure that supply available in supply point \# 2 will be fully used is  </strong> A)  7 X_{21}+2 X_{22}+5 X_{23}=300  B)  X_{21}+X_{22}+X_{23}=300  C)  7 X_{21}+2 X_{22}+5 X_{23} \geq 300  D)  X_{21}+X_{22}+X_{23} \geq 300

A) 7X21+2X22+5X23=3007 X_{21}+2 X_{22}+5 X_{23}=300
B) X21+X22+X23=300X_{21}+X_{22}+X_{23}=300
C) 7X21+2X22+5X233007 X_{21}+2 X_{22}+5 X_{23} \geq 300
D) X21+X22+X23300X_{21}+X_{22}+X_{23} \geq 300
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32
Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with Xij\mathrm{X}_{i j} denoting the amount shipped from supply point ii (1 or 2 ) to demand point j(1,2j(1,2 , or 3 ), the correct constraint to make sure that demand in demand point 1 is fully met is
 <strong>Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with  \mathrm{X}_{i j}  denoting the amount shipped from supply point  i  (1 or 2 ) to demand point  j(1,2 , or 3 ), the correct constraint to make sure that demand in demand point 1 is fully met is  </strong> A)  5 X_{11}+7 X_{21}=100  B)  X_{11}+X_{21} \leq 100  C)  5 X_{11}+7 X_{21} \leq 100  D)  X_{11}+X_{21}=100

A) 5X11+7X21=1005 X_{11}+7 X_{21}=100
B) X11+X21100X_{11}+X_{21} \leq 100
C) 5X11+7X211005 X_{11}+7 X_{21} \leq 100
D) X11+X21=100X_{11}+X_{21}=100
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33
Data on cost, demand and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with Xij\mathrm{X}_{i j} denoting the amount shipped from supply point ii (1 or 2 )) to demand point j(1,2j(1,2 , or 3 )) , the correct constraint to make sure that demand in demand point 1 is fully met is
 <strong>Data on cost, demand and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with  \mathrm{X}_{i j}  denoting the amount shipped from supply point  i  (1 or 2 )  to demand point  j(1,2 , or 3 ) , the correct constraint to make sure that demand in demand point 1 is fully met is  </strong> A)  5 X_{11}+7 X_{21}=100  B)  X_{11}+X_{21} \leq 100  C)  5 X_{11}+7 X_{21} \leq 100  D)  X_{11}+X_{21}=100

A) 5X11+7X21=1005 X_{11}+7 X_{21}=100
B) X11+X21100X_{11}+X_{21} \leq 100
C) 5X11+7X211005 X_{11}+7 X_{21} \leq 100
D) X11+X21=100X_{11}+X_{21}=100
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34
Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with Xij\mathrm{X}_{i j} denoting the amount shipped from supply point ii ( 1 or 2 ) to demand point j(1,2j(1,2 or 3 ), the correct objective function is
 <strong>Data on cost, demand, and supply for a balanced (total supply equals total demand) transportation problem is given in the table below. In the linear programming formulation of this transportation problem with  \mathrm{X}_{i j}  denoting the amount shipped from supply point  i  ( 1 or 2 ) to demand point  j(1,2  or 3 ), the correct objective function is  </strong> A)  \operatorname{Max}: 5 X_{11}+6 X_{12}+3 X_{13}+7 X_{21}+2 X_{22}+5 X_{23}  B)  \operatorname{Min}: 5 X_{11}+6 X_{12}+3 X_{13}+7 X_{21}+2 X_{22}+5 X_{23}  C)  \operatorname{Max}: X_{11}+X_{12}+X_{13}+X_{21}+X_{22}+X_{23}  D)  \operatorname{Min}: X_{11}+X_{12}+X_{13}+X_{21}+X_{22}+X_{23}

A) Max:5X11+6X12+3X13+7X21+2X22+5X23\operatorname{Max}: 5 X_{11}+6 X_{12}+3 X_{13}+7 X_{21}+2 X_{22}+5 X_{23}
B) Min:5X11+6X12+3X13+7X21+2X22+5X23\operatorname{Min}: 5 X_{11}+6 X_{12}+3 X_{13}+7 X_{21}+2 X_{22}+5 X_{23}
C) Max:X11+X12+X13+X21+X22+X23\operatorname{Max}: X_{11}+X_{12}+X_{13}+X_{21}+X_{22}+X_{23}
D) Min:X11+X12+X13+X21+X22+X23\operatorname{Min}: X_{11}+X_{12}+X_{13}+X_{21}+X_{22}+X_{23}
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35
In a transportation problem with total demand equal to 1200 and total supply equal to 900 , we should add a with a quantity equal to to convert it to a balanced problem.

A) dummy supply, 300
B) dummy supply, 2100
C) dummy demand, 300
D) dummy demand, 2100
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36
In a transportation problem with total demand equal to 900 and total supply equal to 1200 , we should add a with a quantity equal to to convert it to a balanced problem.

A) dummy supply, 300
B) dummy supply , 2100
C) dummy demand, 300
D) dummy demand, 2100
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37
In a transportation problem with total demand equal to 900 and total supply equal to 1200 , the cost associated with all dummy cells will be

A) 0
B) equal
C) a very large positive number
D) equal and it could be any numerical value
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38
In a transportation problem, if supply point 2 cannot ship to demand point 3 , all other things remaining the same as a regular transportation problem, the problem

A) cannot be solved
B) can be solved by letting the cost from supply point 2 to demand point 3 to be 0
C) can be solved by letting the cost from supply point 2 to demand point 3 to be a very high number
D) can be solved by removing supply point 2 from the problem and leaving all other things the same
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39
Which one of the following is not a required assumption in the formulation of transportation problems as a linear program?

A) Total supply equals total demand
B) Material transported is homogeneous
C) Per unit transportation cost from an origin to destination is constant
D) Total transportation cost from an origin to destination linearly increases with quantity shipped
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40
In a transshipment problem the intermediate points are treated as

A) additional origins
B) additional destinations
C) both origins and destinations
D) neither origins nor destinations
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41
In order to solve a transshipment problem, the number of intermediate points

A) must be less than the number of origins
B) must be less than the number of destinations
C) must be less than both the number of origins and destinations
D) can be any number and is not related to number of origins or destinations
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42
In the linear programming formulation of the transshipment problem, there are a set of constraints that require the total shipment to each intermediate point be the total shipment out of each intermediate point.

A) greater than
B) less than
C) equal to
D) unequal to
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43
In the linear programming formulation of the transshipment problem, demand at the destination points is required to be satisfied from shipment from

A) origins
B) intermediate points
C) either origins or intermediated points
D) origins or external sources
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44
A transshipment problem has 3 origins, 2 intermediate points, and 4 destinations. The number of constraints in the linear programming formulation crafted from the principles discussed in the text will be

A) 7
B) 9
C) 5
D) 14
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45
A transshipment problem has 3 origins, 4 intermediate points, and 2 destinations. In the linear programming formulation, using the principles discussed in the text, the number of constraints with 0 on the RHS will be

A) 3
B) 2
C) 7
D) 4
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46
The number of possible assignments in an assignment problem with 6 jobs and 6 workers to assign them to would be

A) 36
B) 12
C) 120
D) 720
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47
The number of constraints in the standard linear programming formulation of a 6 worker- 6 jobs assignment problem using the approach presented in the text will be

A) 12
B) 36
C) 120
D) 720
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48
Using the approach presented in the text, the number of decision variables required for formulation of an assignment problem with 6 jobs and 6 workers will be

A) 36
B) 12
C) 120
D) 720
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49
In an assignment problem, suppose we have 5 projects and a potential list of 6 managers who could be the project manager for any one of the projects. The problem can be formulated by adding a thus converting it to a standard assignment problem.

A) dummy project
B) dummy manager
C) dummy cost
D) dummy utility
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50
Coast to Central Plains Inc. has warehouses in Piscataway, San Francisco, and Miami. It supplies the demand at four distribution centers in Austin, Lafayette, Toledo, and Knoxville from these warehouses. Data on cost, demand, and supply are given in the table below. Solve this using excel and report the optimal solution and the total cost corresponding to the optimal solution.
Coast to Central Plains Inc. has warehouses in Piscataway, San Francisco, and Miami. It supplies the demand at four distribution centers in Austin, Lafayette, Toledo, and Knoxville from these warehouses. Data on cost, demand, and supply are given in the table below. Solve this using excel and report the optimal solution and the total cost corresponding to the optimal solution.
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51
Coast to Central Plains Inc. has warehouses in Piscataway, San Francisco, and Miami. It supplies the demand at four distribution centers in Austin, Lafayette, Toledo, and Knoxville from these warehouses. Data on cost, demand, and supply are given in the table below. Solve this using excel and report the optimal solution and the total cost corresponding to the optimal solution.
Coast to Central Plains Inc. has warehouses in Piscataway, San Francisco, and Miami. It supplies the demand at four distribution centers in Austin, Lafayette, Toledo, and Knoxville from these warehouses. Data on cost, demand, and supply are given in the table below. Solve this using excel and report the optimal solution and the total cost corresponding to the optimal solution.
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52
Carlos Ginsburg, a manger at Transship Inc., recently returned from a seminar on transshipment type problems. He wanted to cast his company's shipping plan into a transshipment problem. Formulate the problem and help Carlos get his promotion.
Carlos Ginsburg, a manger at Transship Inc., recently returned from a seminar on transshipment type problems. He wanted to cast his company's shipping plan into a transshipment problem. Formulate the problem and help Carlos get his promotion.
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53
Phil Chandler Insurance Agency has 4 potential clients to allocate among 5 salesmen. The expected sales for each salesman-client allocation is given in the following table. Using the assignment model, find the best assignment of salesman to client.
Phil Chandler Insurance Agency has 4 potential clients to allocate among 5 salesmen. The expected sales for each salesman-client allocation is given in the following table. Using the assignment model, find the best assignment of salesman to client.
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Unlock Deck
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