To modify: The spreadsheet model. 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.

Question

The average completion time (flow time) for the sequence developed using the FCFS rule = 11.75 days (round your response to two decimal places). The percentage utilization for the sequence developed using the FCFS rule = 42.55 % (enter your response as a percentage rounded to two decimal places). b) Using the SPT (shortest processing time) decision rule for sequencing the jobs, the order is (to resolve a tie, use the order in which the jobs were received): An Alabama lumberyard has four jobs on order, as shown in the following table. Today is day 205 on the yard's schedule. In what sequence would the jobs be ranked according to the decision rules on the left: Job Due Date A 212 B 209 C 208 D 210 Duration (days) 6 3 3 8 Sequence 1 Job B 2 3 4 A D The average tardiness (job lateness) for the sequence developed using the SPT rule = 5.00 days (round your response to two decimal places). The average completion time (flow time) for the sequence developed using the SPT rule = 10.25 days…

Answer 1

Question

Chapter 3.6, Problem 2P

a)

Summary Introduction

To modify: The spreadsheet model.

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: Whether the solution is 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 average completion time (flow time) for the sequence developed using the FCFS rule = 11.75 days (round your response to two decimal places). The percentage utilization for the sequence developed using the FCFS rule = 42.55 % (enter your response as a percentage rounded to two decimal places). b) Using the SPT (shortest processing time) decision rule for sequencing the jobs, the order is (to resolve a tie, use the order in which the jobs were received): An Alabama lumberyard has four jobs on order, as shown in the following table. Today is day 205 on the yard's schedule. In what sequence would the jobs be ranked according to the decision rules on the left: Job Due Date A 212 B 209 C 208 D 210 Duration (days) 6 3 3 8 Sequence 1 Job B 2 3 4 A D The average tardiness (job lateness) for the sequence developed using the SPT rule = 5.00 days (round your response to two decimal places). The average completion time (flow time) for the sequence developed using the SPT rule = 10.25 days…

With the aid of examples, fully discuss any five (5) political tactics used in organisations.

a. With the aid of examples, define discrimination. b. Fully discuss any four (4) types of discrimination in the workplace

Answer 2

Question

Chapter 3.6, Problem 2P

a)

Summary Introduction

To modify: The spreadsheet model.

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: Whether the solution is 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 3

Question

Chapter 3.6, Problem 2P

a)

Summary Introduction

To modify: The spreadsheet model.

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: Whether the solution is 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 4

Question

Chapter 3.6, Problem 2P

a)

Summary Introduction

To modify: The spreadsheet model.

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: Whether the solution is 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 2P

a)

Summary Introduction

To modify: The spreadsheet model.

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: Whether the solution is 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 2P

a)

Summary Introduction

To modify: The spreadsheet model.

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 2P

a)

Summary Introduction

To modify: The spreadsheet model.

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: Whether the solution is 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: Whether the solution is 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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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

To modify: The spreadsheet model. 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.

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

Concept explainers

To modify: The spreadsheet model.

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.

To determine: Whether the solution is 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.

Chapter 3 Solutions

To modify: The spreadsheet model. 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.

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

Concept explainers

To modify: The spreadsheet model. 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.

To determine: Whether the solution is 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.

Chapter 3 Solutions

To modify: The spreadsheet model.

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.

To determine: Whether the solution is 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.