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Homework answers / question archive / Harran University - Yeniehir Campus STAT 201 Chapter 9 Transportation and Assignment Models 1)Transportation and assignment problems are really linear programming techniques called network flow problems

Harran University - Yeniehir Campus STAT 201 Chapter 9 Transportation and Assignment Models 1)Transportation and assignment problems are really linear programming techniques called network flow problems

Statistics

Harran University - Yeniehir Campus

STAT 201

Chapter 9 Transportation and Assignment Models

1)Transportation and assignment problems are really linear programming techniques called network flow problems.

 

  1. Transportation models may be used when a firm is trying to decide where to locate a new facility.

 

  1. A typical transportation problem may ask the question, "How many of X should be shipped to point E from source A?"

 

  1. The objective of a transportation problem solution is to schedule shipments from sources to destinations while minimizing total transportation and production costs.

 

 

  1. In a transportation problem, each destination must be supplied by one and only one source.

 

  1. In a transportation problem, a single source may supply something to all destinations.
  2. In finding the maximum quantity that can be shipped on the least costly route using the stepping-stone method, one examines the closed path of plus and minus signs drawn and selects the smallest number found in those squares containing minus signs.

 

  1. In using the stepping-stone method, the path can turn at any box or cell that is unoccupied.

 

  1. Using the stepping-stone method to solve a maximization problem, we would choose the route with the largest positive improvement index.

 

  1. One of the advantages of the stepping-stone method is that if, at a particular iteration, we accidentally choose a route that is not the best, the only penalty is to perform additional iterations.

 

  1. A "balanced problem" exists in a transportation model when the optimal solution has the same amount being shipped over all paths that have any positive shipment.

 

  1. It is possible to find an optimal solution to a transportation problem that is degenerate.
  2. A solution to the transportation problem can become degenerate at any iteration.

 

  1. The transportation algorithm can be used to solve both minimization problems and maximization problems.

 

  1. Assignment problems involve determining the most efficient assignment of people to projects, salesmen to territories, contracts to bidders, and so on.

 

  1. The objective of an assignment problem solution most often is to minimize the total costs or time of performing the assigned tasks.

 

  1. In the assignment problem, the costs for a dummy row will be equal to the lowest cost of the column for each respective cell in that row.

 

  1. The Hungarian method is designed to solve transportation problems efficiently.
  2. Maximization assignment problems can easily be converted to minimization problems by subtracting each rating from the largest rating in the table.

 

  1. In a transportation problem, a dummy source is given a zero cost, while in an assignment problem, a dummy source is given a very high cost.

 

 

 

Table 9-1

 

 

 

 

  1. What is the total cost represented by the solution shown in Table 9-1?

A) 60

B) 2500

C) 2600

D) 500

E) None of the above

 

  1. What is the value of the improvement index for cell B1 shown in Table 9-1? A) -50

B) +3

C) +2

D) +1

E) None of the above

 

 

 

Table 9-2

 

 

 

 

 

 

 

 

 

 

 

  1. In Table 9-2, cell A3 should be selected to be filled in the next solution. If this was selected as the cell to be filled, and the next solution was found using the appropriate stepping-stone path, how many units would be assigned to this cell?
  1. 10
  2. 15
  3. 20
  4. 30
  5. None of the above

 

Table 9-3

 

 

 

 

The following improvements are proved for Table 9-3:

 

 

Cell

Improvement

Index

A1

+2

A3

+6

B2

+1

B-Dummy

+2

C1

+2

C2

+1

 

  1. The cell improvement indices for Table 9-3 suggest that the optimal solution has been found. Based on this solution, how many units would actually be sent from source C?

A) 10

B) 170

C) 180

D) 250

E) None of the above

 

  1. In Table 9-3, suppose shipping cost from source C to point 2 was 8, which below would be true?
  1. There would be multiple optimal solutions.
  2. The minimum possible total cost would decrease.
  3. The minimum possible total cost would increase.
  4. Another dummy column would be needed.
  5. None of the above

 

  1. Both transportation and assignment problems are members of a category of LP techniques called                       .
  1. transshipment problems
  2. Hungarian problems
  3. source-destination problems
  4. supply and demand problems
  5. network flow problems

 

  1. Transportation models can be used for which of the following decisions?
  1. facility location
  2. production mix
  3. media selection
  4. portfolio selection
  5. employee shift scheduling

 

  1. When using a general LP model for transportation problems, if there are 4 sources and 3 destinations, which of the following statements is true?
  1. There are typically 4 decision variables and 3 constraints.
  2. There are typically 12 decision variables and 7 constraints.
  3. There are typically 7 decision variables and 7 constraints.

 

  1. There are typically 12 decision variables and 12 constraints.
  2. There are typically 12 decision variables and 3 constraints.

 

  1. The two most common objectives for the assignment problem are the minimization of

                    .

  1. uncertainty or inexperience
  2. total costs or inexperience
  3. total costs or total time
  4. total time or inexperience
  5. total costs or uncertainty

 

  1. Assuming that Table 9-4 represents the results of an iteration of a transportation model,

Table 9-4

 

 
 
 

 

The next tableau will be: A)

 

 

B)

 

 

 

C)

 

 

D)

 

 

E) None of the above

 

 

 

Table 9-5

 

 

 

 

 

 

 

 

  1. Table 9-5 represents a solution that is
  1. clearly optimal for a minimization objective.
  2. degenerate.
  3. infeasible.
  4. All of the above
  5. None of the above

 

 

 

 

Table 9-6

 

 

 

 

  1. In Table 9-6, if cell A3 is filled on the next iteration, what is the improvement in the objective function?
  1. 60
  2. 30

C) 530

D) 590

E) None of the above

 

  1. A transportation problem
  1. is a special case of the linear programming problem.
  2. can be solved by linear programming, but is solved more efficiently by a special-purpose algorithm.
  3. may give an initial feasible solution rather than the optimal solution.
  4. requires the same assumptions that are required for linear programming problems.
  5. All of the above

 

 

Table 9-7

 

 

 

 

 

 

 

  1. Table 9-7 illustrates a(n)
  1. optimal solution.
  2. degenerate solution.
  3. unbounded solution.
  4. infeasible solution.
  5. None of the above

 

  1. The only restriction we place on the initial solution of a transportation problem is that
  1. we must have nonzero quantities in a majority of the boxes.
  2. all constraints must be satisfied.
  3. demand must be less than supply.
  4. we must have a number (equal to the number of rows plus the number of columns minus one) of boxes that contain nonzero quantities.
  5. None of the above

 

  1. Which of the following is used to summarize conveniently and concisely all relevant data and to keep track of algorithm computations?
  1. source-destination matrix
  2. Hungarian table
  3. stepping-stone grid

 

  1. transportation table

 

  1. In Table 9-8, which cell should be filled on the next iteration?

 

Table 9-8

 

 

 

 

 

 

 

 

 

 

  1. A1
  2. ADummy
  3. B2
  4. C1
  5. C2

 

Table 9-9

 

 

 

 

 

 

 

 

 

 

  1. The solution presented in Table 9-9 is
  1. infeasible.
  2. degenerate.
  3. unbounded.
  4. optimal.
  5. None of the above

 

Table 9-10

 

 

 

 

 

 

 

 

 

 

 

  1. What is wrong with Table 9-10?
  1. The solution is infeasible.

 

  1. The solution is degenerate.
  2. The solution is unbounded.
  3. Nothing is wrong.
  4. There are too many filled cells.

 

  1. Which of the following statements concerning the transshipment problem are false?
  1. The number of units shipped into a transshipment point should be equal to the number of units shipped out.
  2. There can be constraints on the number of units shipped out of an origin point.
  3. There can be constraints on the number of units shipped into a destination point.
  4. The transshipment problem can be solved with linear programming.
  5. Any units shipped from one origin point must all go to the same destination point.

 

  1. What is said to exist when total demand equals total supply in a transportation problem?
  1. an equalized problem
  2. an equilibrialized problem
  3. a harmonized problem
  4. a balanced problem
  5. This situation can never occur.

 

Table 9-11

 

 

 

  1. A company must assign mechanics to each of four jobs. The time involved varies according to individual abilities.  Table 9-11 shows how many minutes it takes each mechanic to perform each job. If the optimal assignments are made, how many total minutes would be required for completing the jobs?
  1. 0
  2. 4
  3. 17
  4. 16
  5. None of the above

Table 9-12

 

 

 

  1. Given Table 9-12, the final table for an assignment problem, who should be assigned to job 2?
  1. worker A
  2. worker C
  3. either worker A or worker C
  4. neither worker A nor worker C
  5. worker D

Table 9-13

 

 

 

 

  1. Table 9-13 provides information about a transportation problem. This problem is
  1. unbounded.
  2. unbalanced.
  3. infeasible.
  4. All of the above
  5. None of the above

 

  1. Which of the following statements concerning transportation and assignment models is false?
  1. The transportation, transshipment, and assignment problems can all be solved using linear programming.
  2. A common objective is cost minimization.
  3. Both transportation and assignment models involve the distribution of goods from sources to destinations.
  4. The assignment problem can have a maximization objective.
  5. The transshipment problem is a special class of transportation problems.

 

  1. Which of the following is not part of the transportation algorithm?
  1. northwest corner rule
  2. stepping-stone method
  3. balanced transportation table
  4. portfolio selection
  5. Hungarian method

 

  1. Which technique requires that we start in the upper-left-hand cell of the table and allocate units to shipping routes in a "stair step" fashion?
  1. upper-left rule
  2. stair step method
  3. northwest corner rule
  4. Vogel's approximation method
  5. MODI

 

  1. If items being transported must go through an intermediate point before reaching a final destination, then this situation is known as a(n)                              .
  1. transshipment problem
  2. assignment problem
  3. transportation problem
  4. intermediate point problem
  5. None of the above

 

  1. Which of the following accurately describes steps of the northwest corner rule, after making the initial allocation of units in the northwest cell?
  1. Move down first, and then move right.
  2. Move right first, and then move down.
  3. Move right or down first, depending on whether the demand requirement or the supply capacity, respectively, is exhausted first.
  4. Move right or down first, depending on whether the supply capacity or the demand requirement, respectively, is exhausted first.
  5. Move diagonally first.

 

  1. When using the stepping-stone method, what is the maximum amount that can be shipped on the new route?
  1. the smallest number found in the squares with minus signs
  2. the smallest number found in the squares with plus signs
  3. the smallest number along the closed path
  4. the minimum of the demand requirement for that column and the supply capacity for that row
  5. the largest number found on the squares with minus signs

 

Table 9-14

 

 

 

 

 

 

 

 

 

  1. The solution presented in Table 9-14 is
  1. infeasible.
  2. degenerate.
  3. unbounded.
  4. optimal.
  5. Both B and D

 

Table 9-15

 

 

 

 

 

 

 

 

 

  1. The solution shown in Table 9-15 is
  1. infeasible.
  2. degenerate.
  3. unbounded.
  4. optimal.
  5. None of the above

 

  1. In a transshipment problem involving 3 origins, 2 intermediate points, and 4 final destinations, what is the maximum number of decision variables?
  1. 24
  2. 9
  3. 14
  4. 7
  5. 20

Table 9-16

 

 

 

 

  1. The solution shown in Table 9-16 is
  1. infeasible.
  2. one of a number of alternate solutions.
  3. unbounded.
  4. optimal.
  5. None of the above

 

  1. A certain firm has four different operations that must be assigned to four locations. The profit (in thousands of dollars) associated with each operation at each location is presented below. The firm's vice president would like to assign the various operations so that the total profit is maximized. Find the appropriate assignments.

 

 
 
 

 

 

 

  1. What is the overall objective in applying the transportation method to the facility location problem?
  1. minimize the distance traveled
  2. minimize the number of items shipped
  3. maximize the value of items shipped
  4. minimize the cost of the distribution system
  5. None of the above

 

  1. An artificial source added to a transportation table when total demand is greater than total supply is called                                     .
  1. excess source
  2. filler source
  3. dummy source
  4. demand source
  5. supply source

 

  1. Which of the following techniques can be used for moving from an initial feasible solution to an optimal solution in a transportation problem?
  1. Hungarian method
  2. stepping-stone method
  3. northwest corner rule
  4. Vogel's approximation method
  5. All of the above

 

  1. Which of the following is an applicable characteristic in using the stepping-stone method?
  1. Only an unoccupied square may be used as a "stepping-stone."

 

  1. Only an occupied square may be used as a "stepping-stone."
  2. Only the column and row with the highest factory capacity may be used as a "stepping-

stone."

  1. All of the above
  2. None of the above

 

  1. After testing each unused cell by the stepping-stone method in the transportation problem and finding only one cell with a negative improvement index,
  1. once you make that improvement, you would definitely have an optimal solution.
  2. you would make that improvement and then check all unused cells again.
  3. you could stop because you already had the optimal solution.
  4. you should check to be sure that you don't have to add a dummy source or dummy destination.
  5. None of the above

 

  1. In the transportation problem, using the stepping-stone method,
  1. you may not skip over an empty cell.
  2. you may not skip over a used cell.
  3. your path may not cross over itself.
  4. if you have an optimal solution and get an improvement index of zero, there is another optimal solution.
  5. None of the above

 

  1. If we want to quickly arrive at a "feasible," but not necessarily "optimal" solution to the transportation problem, we will use the
  1. stepping-stone method.
  2. northwest corner rule.
  3. Vogel's approximation method.
  4. MODI method.
  5. Any of the above

 

  1. If the total supply from the sources does not equal the total demand from the destinations in the transportation problem,
  1. and if supply is greater than demand, add a dummy source or factory.
  2. the amount put in a dummy source or destination should make supply and demand equal.
  3. and if demand is greater than supply, add a dummy destination or warehouse.
  4. All of the above
  5. None of the above

 

  1. In a transportation problem, degeneracy occurs when
  1. the number of used (or full) cells does not equal the number of rows plus columns minus one.
  2. in an initial solution, both a row total and a column total are satisfied simultaneously.
  3. during an improvement, two negative cells contain the same smallest amount.
  4. All of the above
  5. None of the above

 

  1. Practically speaking, multiple optimal solutions                                 .
  1. are infeasible
  2. are unbounded
  3. are degenerate
  4. are unbalanced
  5. provide management with greater flexibility in selecting and using resources

 

  1. Which of the following is not considered a special situation with the transportation algorithm?
  1. unbalanced transportation problems
  2. degeneracy
  3. unconstrained transportation problems
  4. more than one optimal solution
  5. maximization transportation problems

 

  1. Which of the following is not a step in the Hungarian method of assignment?
  1. find the opportunity-cost table
  2. test for an optimal assignment
  3. enumerate all possible solutions
  4. revise the opportunity-cost table

 

  1. None of the above

 

  1. Why don't we want to use the transportation algorithm to solve the assignment problem?
  1. It would likely lead to an unbounded solution.
  2. It would likely lead to a degenerate solution.
  3. It would likely lead to an infeasible solution.
  4. It would likely lead to multiple optima.
  5. It would likely lead to an unbalanced solution.

 

  1. In an assignment problem
  1. the number of rows and columns must be equal.
  2. the number of rows must exceed the number of columns.
  3. the number of rows must equal or exceed the number of columns.
  4. the number of columns must equal or exceed the number of rows.
  5. None of the above

 

  1. In revising the opportunity cost table of the assignment problem, after drawing lines through all of the zeros,
  1. the smallest uncovered number is added to all zeros.
  2. the smallest uncovered number is added to all uncovered numbers.
  3. the largest uncovered number is added to all uncovered numbers.
  4. the smallest uncovered number is added to all numbers at the intersection of lines.
  5. the largest uncovered number is added to all numbers at the intersection of lines.

 

  1. Which of the following methods is used only with the assignment problem?
  1. the Hungarian method
  2. stepping-stone method
  3. MODI method
  4. Vogel's approximation method
  5. the simplex method

 

  1. Objectives of the assignment problem can include
  1. minimize total costs.
  2. minimize total time to perform the tasks at hand.
  3. minimize opportunity costs.
  4. maximize profit.
  5. All of the above

 

  1. In solving maximization assignment problems,
  1. just reverse all the decision rules used in the minimizing algorithm (if it says subtract, now add, and so on).
  2. convert the problem to an equivalent minimization problem.
  3. use the Australian transformation process and convert the data.
  4. All of the above
  5. None of the above

 

  1. Which tableau is the solution to the transportation problem depicted below?

 

Table 9-17

 

A)

 

 

 

 

 

 

 

 

 

 

 

B)

 

 

 

 

C)

 

 

D)

 

 

E) None of the above

 

  1. Which tableau is the solution to the following transportation table?

 

Table 9-18

 

 

 

 

 

 

 

 

A)

 

 

 

 

 

B)

 

 

 

C)

 

 

 

D)

 

 

E) None of the above

 

  1. Table 9-19 describes a transportation problem:

 

Table 9-19

 

 

 

 

 

 

 

  1. Use the northwest corner method to get an initial solution.
  2. What is the cost of the initial solution?
  3. Use the stepping-stone method to find the optimal solution.
  4. What is the cost of the optimal solution?
  5. Is there an alternate optimal solution?

 

  1. Four projects must be completed, and each of four employees will be assigned to work on exactly one of the four projects. The table below presents an estimate of the cost that each employee would incur if working on the respective projects. What is the minimum-cost assignment of workers to projects?

 

 
 
 

 

 

 

  1. SE Appliances manufacturers refrigerators in Richmond, Charlotte, and Atlanta. Refrigerators then must be shipped to meet demand in Washington, New York, and Miami. The table below lists the shipping costs, supply, and demand information.

 

 
 
 

 

How many units should be shipped from each plant to each retail store in order to minimize shipping costs?

 

  1. Neki Sports Company manufacturers treadmills in factories located in Pittsburgh and Kansas City. These are shipped to regional distribution centers in Chicago, Phoenix, and

 

Philadelphia. Ultimately they are delivered to supply houses in New York and Los Angeles. The available supplies at the factories, demands at the final destinations, and shipping costs are illustrated in the table below.

 

 
 
 

 

 

Formulate this problem as a linear program.

 

 

  1. Neki Sports Company manufacturers treadmills in factories located in Pittsburgh and Kansas City. These are shipped to regional distribution centers in Chicago, Phoenix, and Philadelphia. Ultimately they are delivered to supply houses in New York and Los Angeles. The available supplies at the factories, demands at the final destinations, and shipping costs are illustrated in the table below.

 

 
 

 

 

 

Determine how many units should be shipped for all possible origin and destination points (final or intermediate) in the distribution network in order to minimize shipping costs.

 

  1. Describe a general transportation problem.

 

  1. What is meant by a balanced transportation problem?

 

 

  1. When is a dummy destination added to a transportation problem?

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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