The linear programming problem using the objective function approach. Introduction: Linear programming: Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

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Answer 1

Question

Chapter 19, Problem 3P

a)

Summary Introduction

To solve: The linear programming problem using the objective function approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

b)

Summary Introduction

To solve: The linear programming problem using the enumeration approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

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وبة واضافة هذه القيمة الى القيم Ex: Assign each job for each worker at minimum total Cost عمل لكل عامل وبأقل كلفة ممكنة obs الأعمال Workors العمال J1 J2 J3 J4 W₁ 15 13 14 12 W2 11 12 15 13 W3 13 12 10 11 W4 15 17 14 16

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.

Answer 2

Question

Chapter 19, Problem 3P

a)

Summary Introduction

To solve: The linear programming problem using the objective function approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

b)

Summary Introduction

To solve: The linear programming problem using the enumeration approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

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Answer 3

Question

Chapter 19, Problem 3P

a)

Summary Introduction

To solve: The linear programming problem using the objective function approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

b)

Summary Introduction

To solve: The linear programming problem using the enumeration approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

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Answer 4

Question

Chapter 19, Problem 3P

a)

Summary Introduction

To solve: The linear programming problem using the objective function approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

b)

Summary Introduction

To solve: The linear programming problem using the enumeration approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

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Answer 5

Chapter 19, Problem 3P

a)

Summary Introduction

To solve: The linear programming problem using the objective function approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

b)

Summary Introduction

To solve: The linear programming problem using the enumeration approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

Answer 6

Chapter 19, Problem 3P

a)

Summary Introduction

To solve: The linear programming problem using the objective function approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

Answer 7

Chapter 19, Problem 3P

a)

Summary Introduction

To solve: The linear programming problem using the objective function approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

Answer 8

b)

Summary Introduction

To solve: The linear programming problem using the enumeration approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

Answer 9

b)

Summary Introduction

To solve: The linear programming problem using the enumeration approach.

Introduction:

Linear programming:

Linear programming is a mathematical modeling method where a linear function is maximized or minimized taking into consideration the various constraints present in the problem. It is useful in making quantitative decisions in business planning.

Answer 10

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Answer 11

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Answer 12

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Answer 13

Ch. 19 - For which decision environment is linear...Ch. 19 - What is meant by the term feasible solution space?...Ch. 19 - Explain the term redundant constraint.Ch. 19 - Prob. 4DRQ Ch. 19 - Prob. 5DRQ Ch. 19 - Prob. 6DRQ Ch. 19 - Prob. 1P Ch. 19 - Prob. 2P Ch. 19 - Prob. 3P Ch. 19 - A small candy shop is preparing for the holiday...

Solution Summary: The author explains the linear programming problem using the objective function approach. The quantity of Model H and Model W is 132 and 36 respectively.

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