The changes in the selling price of either or both models that would be essential to make this corner point optimal. Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

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Answer 1

Question

Chapter 3.6, Problem 6P

a)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be essential to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

b)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be necessary to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

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The forecast for each week of a four-week schedule is 50 units. The MPS rule is to schedule production if the projected on-hand Inventory would be negative without it. Customer orders (committed) are follows: Week Customer Order 1 52 35 20 12 Use a production lot size of 75 units and no beginning Inventory. Determine the available-to-promise (ATP) quantities for each period. Note: Leave no cells blank - be certain to enter "0" wherever required. Period ATP 1 2 3

Prepare a master schedule given this information: The forecast for each week of an eight-week schedule is 60 units. The MPS rule is to schedule production if the projected on-hand Inventory would be negative without it. Customer orders (committed) are as follows: Week Customer Orders 1 2 36 28 4 1 Use a production lot size of 85 units and no beginning inventory. Note: In the ATP row, enter a value of 0 (zero) in any periods where ATP should not be calculated. Leave no cells blank - be certain to enter "0" wherever required. June July 1 2 3 4 5 8 7 8 Forecast 60 60 60 60 60 60 60 60 Customer Orders 38 28 4 1 0 0 0 0 Projected On-Hand Inventory MPS ATP

Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 27 38 25 30 35 24 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.50 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 27 38 25 30 35 24 25 30 Forecast 21.0 21 21 24 31 28 29 32 28 26.50 b) For the forecast developed using exponential smoothing (a = 0.50 and initial forecast 21.0), the MAD = |||||sales (round your response to two decimal places).

Answer 2

Question

Chapter 3.6, Problem 6P

a)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be essential to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

b)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be necessary to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

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Answer 3

Question

Chapter 3.6, Problem 6P

a)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be essential to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

b)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be necessary to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

Expert Solution & Answer

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Answer 4

Question

Chapter 3.6, Problem 6P

a)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be essential to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

b)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be necessary to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

Expert Solution & Answer

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Answer 5

Chapter 3.6, Problem 6P

a)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be essential to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

b)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be necessary to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

Answer 6

Chapter 3.6, Problem 6P

a)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be essential to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

Answer 7

Chapter 3.6, Problem 6P

a)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be essential to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

Answer 8

b)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be necessary to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

Answer 9

b)

Summary Introduction

To determine: The changes in the selling price of either or both models that would be necessary to make this corner point optimal.

Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints then it is said to be an unfeasible solution.

Answer 10

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Answer 11

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Answer 12

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Answer 13

Ch. 3.6 - Prob. 1P Ch. 3.6 - Prob. 2P Ch. 3.6 - Prob. 3P Ch. 3.6 - Prob. 4P Ch. 3.6 - Prob. 5P Ch. 3.6 - Prob. 6P Ch. 3.6 - Prob. 7P Ch. 3.6 - Prob. 8P Ch. 3.6 - Prob. 9P Ch. 3.7 - Prob. 10P

Solution Summary: The author explains linear programming's unbounded solution when the objective function is infinite. If no solution satisfied the constraints, it is said to be an unfeasible solution.

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