convert the given problem into balanced problem by adding an appropriate row and column and find the optimal solution using solver. Concept Introduction: one of the feasible solution is that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem is called optimal solution.. This kind of solution required by a company to solve the problem or to achieve the goal. This solutions that could maximize or minimize the profit or reduce the costs.

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Answer 1

Question

Chapter 6.5, Problem 12P

a)

Summary Introduction

Interpretation: convert the given problem into balanced problem by adding an appropriate row and column and find the optimal solution using solver.

Concept Introduction: one of the feasible solution is that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem is called optimal solution.. This kind of solution required by a company to solve the problem or to achieve the goal. This solutions that could maximize or minimize the profit or reduce the costs.

b)

Summary Introduction

Interpretation: Find the optimal solution using solver and inequality constraints.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

c)

Summary Introduction

Interpretation: Compare the solutions in part a and part b and clarify the reason.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

d)

Summary Introduction

Interpretation: Modify the model in Part b also resolve to find the optimal solution and clarify the objective value increased or decreased.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

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The Executive Furniture Corporation, which manufactures office desks at three locations: Des Moines, Evansville and Fort Lauderdale. The firm distributes the desks through regional warehouses located in Albuquerque, Boston and Cleveland. The production costs per desk are the same at each factory and hence the only relevant costs are those of shipping from each source to each destination. They are assumed to be constant regardless of their volume shipped. An estimate of the monthly production capacity at each factory and estimate of the number of desks required per month at each destination and the shipping cost ($) per desk from each source to each destination is given in the following table: Transportation table for Executive Furniture Corporation To From Albuquerque Boston Cleveland Factory capacity Des Moines 6 5 8 300 Evansville 5 9 8 400 Fort Lauderdale 4 5 6 350 Requirements 350 250 450…

Solve the following problem: The Krampf Lines railway company specializes in coal handling. On Saturday, Krampf had empty cars at the following towns in the quantities indicated: Town Supply of cars Morgantown 35 Youngstown 60 Pitsburg 25 By Monday, the following towns will need cars as follows: Town Demand for cars Coal Valley 30 Coal town 45 Coal junction 25 Coalsburg 20 The result is shown in the table below. To From Coal Valley Coal town Coal junction Coalsburg Morgantown 50 30 60 70 Youngstown 20 80 10 90 Pitsburg 100 40 80 30 Required: Minimize total miles over which cars are moved to new locations regarding the following: Formulate as a linear programming. Use North-West corner method to obtain the total shipment cost of coal cars.

Anderson Watch Company is considering opening four possible distribution centers located in Atlanta, Lexington, Milwaukee, and Salt Lake City with a fixed cost to open of $17,000, $22,000, $35,000, and $25,000, respectively. They currently have ten retail stores located in Seattle, San Francisco, Las Vegas, Tucson, Denver, Dallas, Birmingham, Orlando, Cleveland, and Philadelphia. Lisa, the supply chain VP, wants to minimize the transportation costs of shipping their French down pillows. The per-unit shipping cost from each distribution center to each retail location and the amounts currently in inventory and ordered at each retail location are shown in the following tables. What is the minimum cost solution? What is the minimum cost solution if Lisa wants to use single sourcing?

Answer 2

Question

Chapter 6.5, Problem 12P

a)

Summary Introduction

Interpretation: convert the given problem into balanced problem by adding an appropriate row and column and find the optimal solution using solver.

Concept Introduction: one of the feasible solution is that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem is called optimal solution.. This kind of solution required by a company to solve the problem or to achieve the goal. This solutions that could maximize or minimize the profit or reduce the costs.

b)

Summary Introduction

Interpretation: Find the optimal solution using solver and inequality constraints.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

c)

Summary Introduction

Interpretation: Compare the solutions in part a and part b and clarify the reason.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

d)

Summary Introduction

Interpretation: Modify the model in Part b also resolve to find the optimal solution and clarify the objective value increased or decreased.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

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Answer 3

Question

Chapter 6.5, Problem 12P

a)

Summary Introduction

Interpretation: convert the given problem into balanced problem by adding an appropriate row and column and find the optimal solution using solver.

Concept Introduction: one of the feasible solution is that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem is called optimal solution.. This kind of solution required by a company to solve the problem or to achieve the goal. This solutions that could maximize or minimize the profit or reduce the costs.

b)

Summary Introduction

Interpretation: Find the optimal solution using solver and inequality constraints.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

c)

Summary Introduction

Interpretation: Compare the solutions in part a and part b and clarify the reason.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

d)

Summary Introduction

Interpretation: Modify the model in Part b also resolve to find the optimal solution and clarify the objective value increased or decreased.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

Expert Solution & Answer

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Answer 4

Question

Chapter 6.5, Problem 12P

a)

Summary Introduction

Interpretation: convert the given problem into balanced problem by adding an appropriate row and column and find the optimal solution using solver.

Concept Introduction: one of the feasible solution is that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem is called optimal solution.. This kind of solution required by a company to solve the problem or to achieve the goal. This solutions that could maximize or minimize the profit or reduce the costs.

b)

Summary Introduction

Interpretation: Find the optimal solution using solver and inequality constraints.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

c)

Summary Introduction

Interpretation: Compare the solutions in part a and part b and clarify the reason.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

d)

Summary Introduction

Interpretation: Modify the model in Part b also resolve to find the optimal solution and clarify the objective value increased or decreased.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

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Answer 5

Chapter 6.5, Problem 12P

a)

Summary Introduction

Interpretation: convert the given problem into balanced problem by adding an appropriate row and column and find the optimal solution using solver.

Concept Introduction: one of the feasible solution is that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem is called optimal solution.. This kind of solution required by a company to solve the problem or to achieve the goal. This solutions that could maximize or minimize the profit or reduce the costs.

b)

Summary Introduction

Interpretation: Find the optimal solution using solver and inequality constraints.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

c)

Summary Introduction

Interpretation: Compare the solutions in part a and part b and clarify the reason.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

d)

Summary Introduction

Interpretation: Modify the model in Part b also resolve to find the optimal solution and clarify the objective value increased or decreased.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

Answer 6

Chapter 6.5, Problem 12P

a)

Summary Introduction

Interpretation: convert the given problem into balanced problem by adding an appropriate row and column and find the optimal solution using solver.

Concept Introduction: one of the feasible solution is that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem is called optimal solution.. This kind of solution required by a company to solve the problem or to achieve the goal. This solutions that could maximize or minimize the profit or reduce the costs.

Answer 7

Chapter 6.5, Problem 12P

a)

Summary Introduction

Interpretation: convert the given problem into balanced problem by adding an appropriate row and column and find the optimal solution using solver.

Concept Introduction: one of the feasible solution is that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem is called optimal solution.. This kind of solution required by a company to solve the problem or to achieve the goal. This solutions that could maximize or minimize the profit or reduce the costs.

Answer 8

b)

Summary Introduction

Interpretation: Find the optimal solution using solver and inequality constraints.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

Answer 9

b)

Summary Introduction

Interpretation: Find the optimal solution using solver and inequality constraints.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

Answer 10

c)

Summary Introduction

Interpretation: Compare the solutions in part a and part b and clarify the reason.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

Answer 11

c)

Summary Introduction

Interpretation: Compare the solutions in part a and part b and clarify the reason.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

Answer 12

d)

Summary Introduction

Interpretation: Modify the model in Part b also resolve to find the optimal solution and clarify the objective value increased or decreased.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

Answer 13

d)

Summary Introduction

Interpretation: Modify the model in Part b also resolve to find the optimal solution and clarify the objective value increased or decreased.

Concept Introduction: For all kinds of optimization problem, there could be one or more than one optimal solutions and sometimes there is infinite number of optimal solutions are occurred. Optimal solution is the one type of feasible solution, which has the objective function reaches their goal.

Answer 14

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Answer 15

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Answer 16

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Answer 17

Ch. 6.2 - Prob. 1P Ch. 6.2 - Prob. 2P Ch. 6.2 - Prob. 3P Ch. 6.2 - Prob. 4P Ch. 6.2 - Prob. 5P Ch. 6.2 - Prob. 6P Ch. 6.2 - Prob. 7P Ch. 6.2 - Prob. 8P Ch. 6.5 - Prob. 10P Ch. 6.5 - Prob. 11P

Solution Summary: The author explains that the objective function ranges from maximum to minimum value depends upon the profit or loss of the cost problem. The greedy heuristic uses a method of selecting the low cost locations first and supplies the requirement to

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Chapter 6 Solutions