number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it graphically. Introduction: Linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities. It is used to make decisions based on business objectives. It is used in business planning, industrial engineering, and physical science. Express the real-world problem into the mathematical expression to get the optimal solution from the linear programming.

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Answer 1

Question

Chapter 14.S, Problem 16P

a)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it graphically.

Introduction: Linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities. It is used to make decisions based on business objectives. It is used in business planning, industrial engineering, and physical science. Express the real-world problem into the mathematical expression to get the optimal solution from the linear programming.

b)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it in excel.

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Scenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%. You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast. Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…

Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next month. Remember to select the forecasting technique that produces the forecast error nearest to zero. For example: a. Naïve Forecast is 230 and the Forecast Error is -15. b. 3-Month Moving Forecast is 290 and the Forecast Error is -75. c. Exponential Smoothing Forecast for .2 is 308 and the Forecast Error is -93. d. Exponential Smoothing Forecast for .5 is 279 and the Forecast Error is -64. e. Seasonal Forecast is 297 and the Forecast Error is -82. The forecast for the next month would be 230 as the Naïve Forecast had the Forecast Error closest to zero with a -15. This forecasting technique was the best performing technique for that month. You do not need to do any external analysis-the forecast error for each strategy is already calculated for you in the tables below. Naïve Month Period Actual Demand Naïve Forecast Error 3- Month Moving Forecast 3- Month Moving…

Scenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%. You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast. Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…

Answer 2

Question

Chapter 14.S, Problem 16P

a)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it graphically.

Introduction: Linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities. It is used to make decisions based on business objectives. It is used in business planning, industrial engineering, and physical science. Express the real-world problem into the mathematical expression to get the optimal solution from the linear programming.

b)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it in excel.

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Answer 3

Question

Chapter 14.S, Problem 16P

a)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it graphically.

Introduction: Linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities. It is used to make decisions based on business objectives. It is used in business planning, industrial engineering, and physical science. Express the real-world problem into the mathematical expression to get the optimal solution from the linear programming.

b)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it in excel.

Expert Solution & Answer

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Answer 4

Question

Chapter 14.S, Problem 16P

a)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it graphically.

Introduction: Linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities. It is used to make decisions based on business objectives. It is used in business planning, industrial engineering, and physical science. Express the real-world problem into the mathematical expression to get the optimal solution from the linear programming.

b)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it in excel.

Expert Solution & Answer

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Answer 5

Chapter 14.S, Problem 16P

a)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it graphically.

Introduction: Linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities. It is used to make decisions based on business objectives. It is used in business planning, industrial engineering, and physical science. Express the real-world problem into the mathematical expression to get the optimal solution from the linear programming.

b)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it in excel.

Answer 6

Chapter 14.S, Problem 16P

a)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it graphically.

Introduction: Linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities. It is used to make decisions based on business objectives. It is used in business planning, industrial engineering, and physical science. Express the real-world problem into the mathematical expression to get the optimal solution from the linear programming.

Answer 7

Chapter 14.S, Problem 16P

a)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it graphically.

Introduction: Linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities. It is used to make decisions based on business objectives. It is used in business planning, industrial engineering, and physical science. Express the real-world problem into the mathematical expression to get the optimal solution from the linear programming.

Answer 8

b)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it in excel.

Answer 9

b)

Summary Introduction

To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it in excel.

Answer 10

Expert Solution & Answer

Answer 11

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Answer 12

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Answer 13

Ch. 14.S - Prob. 1Q Ch. 14.S - Prob. 2Q Ch. 14.S - Prob. 3Q Ch. 14.S - Prob. 4Q Ch. 14.S - Prob. 5Q Ch. 14.S - Prob. 6Q Ch. 14.S - Prob. 7Q Ch. 14.S - Prob. 8Q Ch. 14.S - Prob. 1P Ch. 14.S - The Tycron Company produces three electrical...

Solution Summary: The author explains how linear programming is used to obtain the best possible outcome from the given real-world problem which is subjective to constraints and inequalities.

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To determine: number of hours operates for each mine so that contracted obligations can be met at low cost by formulating linear programming and solves it in excel.

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Chapter 14 Solutions