CB Radios Linear Programming

Slides:

Advertisements

Similar presentations

Artrelle Fragher & Robert walker. 1 you look for the median 1 you look for the median 2 then you look for the min and max 2 then you look for the min.

Advertisements

TV AND VCR PRODUCTION Ali Longwell Cole Guffey The Situation: A company manufactures TVs and VCRs. It must produce at least 20 TV sets per month, but.

Find % of Increase or Decrease Used in the real world so businesses can tell how their company really is % can be over 100% Ex. If I start a company with.

Ozone Level ppb (parts per billion)

3-4 Linear Programming Warm Up Lesson Presentation Lesson Quiz

Linear Programming. Businesses use linear programming to find out how to maximize profit or minimize costs. Most have constraints on what they can use.

Do Now The cost of renting a pool at an aquatic center id either $30 an hr. or $20 an hr. with a $40 non refundable deposit. Use algebra to find for how.

3 – 4 Linear Programming Word Problems

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

Applications of Linear Programming

EMGT 501 HW #1 Due Day: Sep 13 Chapter 2 - SELF TEST 18

IENG313 Operation Research I

Objective: Graph quadratic functions. Determine a quadratic function minimum or maximum value. Warm up Simplify a. b.

LP Formulation Practice Set 1

Copyright © Cengage Learning. All rights reserved.

Managing Demand and Capacity

Revision Assignment 5.

8.6 Linear Programming. Linear Program: a mathematical model representing restrictions on resources using linear inequalities combined with a function.

By: Tai Parker & Brittany W. A manufacturer of CB radios makes a profit of $25 on a deluxe model and $30 on a standard model. The company wishes to produce.

The Compensation Plan Part 1: Ad Packs. Members Buy $10 Ad Packs - Each $10 Ad Pack earns $0.20 daily ($0.10 Sat/Sun) - Ad Packs expires when $15 is earned.

4. Inequalities. 4.1 Solving Linear Inequalities Problem Basic fee: $20 Basic fee: $20 Per minute: 5¢ Per minute: 5¢ Budget: $40 Budget: $40 How many.

© John Parkinson 1 © John Parkinson 2 Distance travelled - s Time taken - t Velocity - v v= s t v s / t Velocity = Speed in a Specified Direction Constant.

OPERATIONS RESEARCH LINEAR PROGRAMMING (SOLVED) BY BY APARNA APARNA ASHA.V ASHA.V SARITHA SARITHA JINTO JINTO.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

DIMENSIONAL ANALYSIS Chapter 9 Parenteral medication labels.

Kyle bought a bike from his friend. His friend gave him a 20% discount. He paid $40 for it. How much was the original price of the bike?

1 1 Slide © 2005 Thomson/South-Western Slides Prepared by JOHN S. LOUCKS ST. EDWARD’S UNIVERSITY.

Lesson 7.6, page 767 Linear Programming

Linear Programming Unit 2, Lesson 4 10/13.

Linear Programming A Summary. What??  Linear Programming is an algebraic strategy used to find optimal solutions. –Uses linear inequalities called constraints.

1 1 Slide Chapter 4 Linear Programming Applications nBlending Problem nPortfolio Planning Problem nProduct Mix Problem.

Objective Function: Vertices (x, y)Work - plug into p(x, y)Solution Analysis: Constraints: _________________________.

Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 7.6 Linear Programming.

Solve problems by using linear programming.

 A concert promoter wants to book a rock group for a stadium concert. A ticket for admission to the stadium playing field will cost $125, and a ticket.

Opener. Notes: 3.4 Linear Programming Optimization  Many real-life problems involve a process called optimization.  This means finding a maximum or.

1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.

MANGT 521 (B): Quantitative Management

Warm-Up 3.4 1) Solve the system. 2) Graph the solution.

5 minutes Warm-Up 1) Solve the system. 2) Graph the solution.

Intro to Linear Programming

Linear Programming Ex1) Use the system of constraints below to maximize the objective function z = -0.4x + 3.2y. Corner Points.

Linear Programming-Bellwork

Ch. 3 Notes Page 19 P19 3.4b: Linear Programming.

LINEAR PROGRAMMING 3.4 Learning goals represent constraints by equations or inequalities, and by systems of equations and/or inequalities, and interpret.

Linear Programming. What is linear programming? Use a system of constraints (inequalities) to find the vertices of the feasible region (overlapping shaded.

3.3 Linear Programming. Vocabulary Constraints: linear inequalities; boundary lines Objective Function: Equation in standard form used to determine the.

MTH374: Optimization For Master of Mathematics By Dr. M. Fazeel Anwar Assistant Professor Department of Mathematics, CIIT Islamabad 1.

Chapter 11 Inequalities and Linear Programming Additional Example 11.1Additional Example 11.1 Additional Example 11.2Additional Example 11.2 Additional.

2.7 Linear Programming Objectives: Use linear programming procedures to solve applications. Recognize situations where exactly one solution to a linear.

3.3 and 3.4 Applications of Linear Models

CREATORS: EMILY ANDERSON & BRANDON MARTINEZ

Math 1 Warm Up In the Practice Workbook… Practice 7-6 (p. 94)

Linear programming.

السيولة والربحية أدوات الرقابة المالية الوظيفة المالية

Linear Programming A potter wants to make and sell serving bowls and plates. A bowl uses 5 pounds of clay. A plate uses 4 pounds of clay. The potter has.

3-3 Optimization with Linear Programming

3-4 Linear Programming.

3.4b: Linear Programming ~ Application

Chapter 7: Systems of Equations and Inequalities; Matrices

Copyright © 2014, 2010, 2007 Pearson Education, Inc.

Widgets Problem Suppose a company produces two types of widgets, manual and electric. Each requires in its manufacture the use of three machines; A, B,

LINEARPROGRAMMING 4/26/2019 9:23 AM 4/26/2019 9:23 AM 1.

Nature does nothing uselessly.

10.8 Linear Programming.

1.6 Linear Programming Pg. 30.

Linear Programming Mr. Carpenter Alg. 2.

Linear Programming.

Case 2:( Model Construction):

Presentation transcript:

CB Radios Linear Programming By: Tai Parker & Brittany Walker

A manufacturer of CB radios makes a profit of $25 on a deluxe model and $30 on a standard model. The company wishes to produce at least 80 deluxe models and at least 100 standard models per day. To maintain high quality, the daily production should not exceed 200 radios. How many of each type should be produced daily in order to maximize the profit?

(Objective Function) Maximum Profit = 25x+30y X = deluxe models Y = standard models Constraints X ≥ 80 Y ≥ 100 X + Y ≤ 200

Y ≥ 100 X ≥ 80 X + Y ≤ 200 Standard models and Deluxe Models Profit (80,120) Standard Models (80,100) (100,100) Deluxe Models

Finding the Maximum P=25X+30Y The maximum is $5600 25(80)+30(100)= 5000 25(80)+30(120)= 5600 25(100)+30(100)= 5500 The maximum is $5600 (80,120)

Summary For the optimum profit 80 deluxe models and 120 standard models should be produced per day. This was found by creating a graph and graphing constraints the company gave, for a maximum profit of $5600.