Intro to Linear Programming

Slides:



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

30S Applied Math Mr. Knight – Killarney School Slide 1 Unit: Linear Programming Lesson 5: Problem Solving Problem Solving with Linear Programming Learning.
S EPTEMBER 14, L INEAR P ROGRAMMING Linear programming = a process of maximizing a linear objective function Objective function = gives a quantity.
Lesson 7.6, page 767 Linear Programming
Linear Programming?!?! Sec Linear Programming In management science, it is often required to maximize or minimize a linear function called an objective.
Linear Programming Unit 2, Lesson 4 10/13.
3.4 Linear Programming.
3-5: Linear Programming.
3-4 Linear Programming Warm Up Lesson Presentation Lesson Quiz
Linear Programming Operations Research – Engineering and Math Management Sciences – Business Goals for this section  Modeling situations in a linear environment.
A-REI Represent and solve equations and inequalities graphically
Determine if the given ordered pair is a solution of
Graph and solve systems of linear inequalitites A-CED 3.
LINEAR Linear programming techniques are used to solve a wide variety of problems, such as optimising airline scheduling and establishing telephone lines.
Chapter 12 Section 12.1 The Geometry of Linear Programming.
Linear Programming Objective: I can solve problems using linear programming.
Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 7.6 Linear Programming.
Objective Vocabulary Solve linear programming problems.
2-3: Linear Programming Unit 2: Linear Functions English Casbarro.
Linear Programming. What is Linear Programming? Say you own a 500 square acre farm. On this farm you can grow wheat, barley, corn or some combination.
Solve problems by using linear programming.
Opener. Notes: 3.4 Linear Programming Optimization  Many real-life problems involve a process called optimization.  This means finding a maximum or.
Systems of Inequalities in Two Variables Sec. 7.5a.
5 minutes Warm-Up 1) Solve the system. 2) Graph the solution.
Linear Programming Advanced Math Topics Mrs. Mongold.
11/20/2015 6:37 AM1 1 LINEAR PROGRAMMING Section 3.4, ©2008.
Monday WARM-UP: TrueFalseStatementCorrected Statement F 1. Constraints are conditions written as a system of equations Constraints are conditions written.
Class Opener: Solve each equation for Y: 1.3x + y = y = 2x 3.x + 2y = 5 4. x – y = x + 3y = x – 5y = -3.
Warm-up Solve each system of equations:
Linear Programming Ex1) Use the system of constraints below to maximize the objective function z = -0.4x + 3.2y. Corner Points.
Unit 1 Linear programming. Define: LINEAR PROGRAMMING – is a method for finding a minimum or maximum value of some quantity, given a set of constraints.
Warm-upWarm-up Sketch the region bounded by the system of inequalities: 1) 2) Sketch the region bounded by the system of inequalities: 1) 2)
3.4 Linear Programming Solve linear programming problems in two variables using graphical methods.
LINEAR PROGRAMMING 3.4 Learning goals represent constraints by equations or inequalities, and by systems of equations and/or inequalities, and interpret.
1 What you will learn  Lots of vocabulary!  How to find the maximum and minimum value of a function given a set of “rules”
Slide Copyright © 2009 Pearson Education, Inc. 7.6 Linear Programming.
3.4: Linear Programming  Intro: Oftentimes we want to optimize a situation - this means to:  find a maximum value (such as maximizing profits)  find.
3-5: Linear Programming. Learning Target I can solve linear programing problem.
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.
4.3 Solving Systems of Linear Inequalities 11/7/12.
1. What does a need to be if there were infinitely many solutions to the system of equations. y + 2x = 12 2y + 4x = 2a.
Alex’s Furniture Warehouse Linear Programming for a Furniture Company.
2.7 Linear Programming Objectives: Use linear programming procedures to solve applications. Recognize situations where exactly one solution to a linear.
3.3 Linear Programming.
LINEARPROGRAMMING 5/23/ :13 AM 5/23/ :13 AM 1.
Do Now The cost of renting a pool at an aquatic center is either $30 an hr. or $20 an hr. with a $40 non refundable deposit. Use algebra to find for how.
CHAPTER 6:LINEAR PROGRAMMING
Linear programming, absolute values, inequalities
Ch. 3.4 I can solve problems using linear programming
Linear Programming – A First Example
9/8/16 In solving a system of equations, when will your answer be “no solution”? Identify the slope and y-intercept: 2
ALGEBRA II HONORS/GIFTED SECTION 3-4 : LINEAR PROGRAMMING
السيولة والربحية أدوات الرقابة المالية الوظيفة المالية
3.2 Linear Programming 3 Credits AS
3-3 Optimization with Linear Programming
Linear Programming.
Math3H – Unit 2 Day 3 Linear Programming
Linear Programming Objectives: Set up a Linear Programming Problem
Do Now! Solve the system of equations Do all work on the notecard.
8.4 Linear Programming p
Warm Up Solve for x:
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Unit 1 Representing Real Numbers
Quadratic Systems. What you’ll learn
LINEARPROGRAMMING 4/26/2019 9:23 AM 4/26/2019 9:23 AM 1.
10.8 Linear Programming.
1.6 Linear Programming Pg. 30.
Linear Programming Mr. Carpenter Alg. 2.
Linear Programming.
Presentation transcript:

Intro to Linear Programming

T-shirt & Hoodie Problem A t-shirt company makes t-shirts and hoodies. They can make between 80 and 100 t-shirts in one day. They can produce between 50 and 80 hoodies in one day. They can make, at most, 160 total units in one day. If the profit on each t-shirt is $6 and the profit on each hoodie is $10, how many of each kind do they need to make a maximum profit? What will this maximum profit be?

Objective Function The equation that determines your profit or total amount. P = 6x + 10y x: # of t-shirts y: # of hoodies

Constraints y ≥ 0 80 ≤ x ≤100 80 ≤ y ≤100 x + y ≤ 160 Inequalities that give you the boundaries of the situation. x ≥ 0 y ≥ 0 80 ≤ x ≤100 80 ≤ y ≤100 x + y ≤ 160

Your Goal Determine the number of t-shirts and the number of hoodies that should be made in or to maximize the profit.

(80, 80) (80, 50) (100, 50) (100, 60)

Your Solution The point that will maximize the profit will be one of the vertices on the boundary (4 corners) Plug in each point until you find the largest profit.

(80, 80) (80, 50) (100, 50) (100, 60) P = 6x + 10y

P = 6x + 10y P = 6(80) + 10(80) Solution: 80 t-shirts and 80 hoodies Profit = $1,280

Maximize: P = 2x + y Constraints: