WEEK-2 LINEAR PROGRAMMING Waheed Ullah PhD Scholar INU.

Slides:



Advertisements
Similar presentations
PowerPoint Slides by Robert F. BrookerCopyright (c) 2001 by Harcourt, Inc. All rights reserved. Linear Programming Mathematical Technique for Solving Constrained.
Advertisements

Thank you and welcome Linear Programming (LP) Modeling Application in manufacturing And marketing By M. Dadfar, PhD.
Optimization problems using excel solver
Introduction to Mathematical Programming
Linear Programming Problem. Introduction Linear Programming was developed by George B Dantzing in 1947 for solving military logistic operations.
Lesson 08 Linear Programming
Linear Programming. Introduction: Linear Programming deals with the optimization (max. or min.) of a function of variables, known as ‘objective function’,
Planning with Linear Programming
Linear Programming Problem
McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., Table of Contents Chapter 2 (Linear Programming: Basic Concepts) Three Classic Applications.
Linear Programming Models & Case Studies
Session II – Introduction to Linear Programming
Introduction to Management Science
Marketing Applications: Media selection
8/27: Linear Programming Lecture: LP Small Groups Homework.
Linear Programming Using the Excel Solver
© 2008 Prentice-Hall, Inc. Chapter 7 To accompany Quantitative Analysis for Management, Tenth Edition, by Render, Stair, and Hanna Power Point slides created.
Chapter 8: Linear Programming
McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., Three Classic Applications of LP Product Mix at Ponderosa Industrial –Considered limited.
QM B Linear Programming
1 2TN – Linear Programming  Linear Programming. 2 Linear Programming Discussion  Requirements of a Linear Programming Problem  Formulate:  Determine:Graphical.
B-1 Operations Management Linear Programming Module B.
Linear Programming Econ Outline  Review the basic concepts of Linear Programming  Illustrate some problems which can be solved by linear programming.
Introduction to Quantitative Techniques
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1.
STRATEGIC MANAGEMENT ACCOUNTING Anushka De Silva.
Introduction to Quantitative Business Methods (Do I REALLY Have to Know This Stuff?)
1© 2003 by Prentice Hall, Inc. Upper Saddle River, NJ The Wyndor Glass Company Problem (Hillier and Liberman) The Wyndor Glass Company is planning.
Product Mix Problem Monet company makes four types of frames.
Linear Programming Chapter 13 Supplement.
Product Mix & Master Production Scheduling
Linear Programming: Basic Concepts
Operations Management
1 DSCI 3023 Linear Programming Developed by Dantzig in the late 1940’s A mathematical method of allocating scarce resources to achieve a single objective.
Introduction A GENERAL MODEL OF SYSTEM OPTIMIZATION.
Linear Programming Introduction: Linear programming(LP) is a mathematical optimization technique. By “Optimization” technique we mean a method which attempts.
Examples discussed in class
PowerPoint Slides by Robert F. BrookerHarcourt, Inc. items and derived items copyright © 2001 by Harcourt, Inc. Managerial Economics in a Global Economy.
Group members: Ibrahim jan Qesar Habib Najeebullah
Math Programming Concept of Optimization (L.O. a ) Linear Programming Managerial Value of Information (L.O. d) Theory (L.O. b) Example Applications (L.O.
CDAE Class 12 Oct. 4 Last class: 2. Review of economic and business concepts Today: 3. Linear programming and applications Quiz 3 (sections 2.5 and.
LINEAR PROGRAMMING.
OPSM 301 Operations Management Class 11: Linear Programming using Excel Koç University Zeynep Aksin
1 Optimization Techniques Constrained Optimization by Linear Programming updated NTU SY-521-N SMU EMIS 5300/7300 Systems Analysis Methods Dr.
Managerial Economics Linear Programming Aalto University School of Science Department of Industrial Engineering and Management January 12 – 28, 2016 Dr.
QUANTITATIVE TECHNIQUES (QUAN 1202) Lecture 3 Linear Programming Modeling September 2009.
LINEAR PROGRAMMING 3.4 Learning goals represent constraints by equations or inequalities, and by systems of equations and/or inequalities, and interpret.
Introduction to Linear Programming and Formulation Meeting 2 Course: D Deterministic Optimization Year: 2009.
Linear Programming Department of Business Administration FALL by Asst. Prof. Sami Fethi.
LINEAR PROGRAMMING MEANING:
LINEAR PROGRAMMING. Linear Programming Linear programming is a mathematical technique. This technique is applied for choosing the best alternative from.
Linear Programming. George Dantzig 1947 NarendraKarmarkar Pioneers of LP.
Linear Programming Wyndor Glass Co. 3 plants 2 new products –Product 1: glass door with aluminum framing –Product 2: 4x6 foot wood frame window.
Linear Programming Applications
Appendix A with Woodruff Edits Linear Programming Using the Excel Solver Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
Class 10: Introduction to Linear Programming
Linear Programming Models: Graphical and Computer Methods
Linear Programming.
Engineering Economics (2+0)
Micro Economics in a Global Economy
Managerial Economics Linear Programming
Introduction to Linear Programs
Linear Programming Dr. T. T. Kachwala.
Linear Programming Wyndor Glass Co. 3 plants 2 new products
Managerial Economics in a Global Economy
Chapter 8 Goal Programming.
Integer Programming.
Case 2:( Model Construction):
Linear Programming.
Linear Optimization using Excel
Presentation transcript:

WEEK-2 LINEAR PROGRAMMING Waheed Ullah PhD Scholar INU

PRESENTATION OUTCOMES;  WHAT IS LINEAR PROGRAM?  OBJECTIVE/ PURPOSE OF LP  CHARACTERISTICS/ WHERE TO USE?  EXAMPLE

What is LP?  It is a Mathematical programming which is used to find the best or optimal solution to a problem that requires a decision or set of decisions about how best to use a set of limited resources to achieve a state goal of objectives.

PURPOSE & OBJECTIVE  SCARCE RESOURCES  LP IS A METHOD OF ALLOCATING RESOURCES IN A OPTIMAL WAY  LP IS A DECISION AIDING TOOL WIDELY USED IN INDUSTRY FOR DRAWING INFERENCE

OBJECTIVE FUNCTION  COSTS CAN BE MINIMIZED  PROFITS CAN BE MAXIMIZED

CHARACTERISTIC AND USAGE (Production Management)  PRODUCT MIX TO DETERMINE THE QUANTITY OF EACH PRODUCT  PRODUCTION PLANNING TO DETERMINE THE MINIMUM COST PRODUCTION PLAN WITH AN ITEM FLUCTUATIN DEMAND  ASSEMBLY LINE BALANCING TO MINIMIZE THE TOTAL ELAPSE TIME

 PORTFOLIO SELECTION TO FIND THE ALLOCATION OF WHICH MAXIMIZES THE TOTAL EXPECETED RETURN OR MINIMIZE THE RISK UNDER CERTAIN LIMITATIONS  PROFIT PLANNING MAXIMIZATION OF THR PROFIT MARGING FROM INVESTMENT IN PLANT FACILITIES AND EQUIPMENTS, CASH IN HAND, & INVENTORY (FINANCIAL MANAGEMENT)

 MEDIA SELECTION TO DETERMINE THE ADVERTISING MEDIA MIX SO AS TO MAXIMIZE THE EFFECTIVE EXPOSURE, SUBJECT TO LIMIT OF BUDGET, SPECIFIED EXPOSURE RATES TO DIFFERENT MARKET SEGMENT  TRAVELLING SALESMAN PROBLEM TO FIND THE SHOR5TEST ROUTE FROM A GIVEN CITY TO EACH OF THE SPECIFIED CITIES & THEN RETURNING TO THE ORIGINAL POINT OF DEPARTURE, PROVIDED NO CITY WOULD BE VISITED TWICE (MARKETING MANAGEMENT)

 PHYSICAL DISTRIBUTION TO DETERMINE THE MOST ECONOMIC AND EFFICIENT MANNER OF LOCATING MANUFACTURING PLANT & DISTRIBUTION CENTRE FOR PHYSICAL DISTRIBUTION PROBLEMS (MARKETING MANAGEMENT)

 STAFFING PROBLEM TO ALLOCATE OPTIMUM MANPOWER TO A PARTICULAR JOB SO AS TO MINIMIZE THE TOTAL OVERTIME COST OR MANPOWER  EQUITABLE SALARIES TO DETERMINE EQUITABLE SALARIES & SALES INCENTIVES  JOB EVALUATION & SELECTION SELECTION OF SUITABLE PERSON FOR A SPECIFIED JOB (PERSONNEL MANAGEMENT)

EXAMPLE  A FURNITURE MANUFACTURES PRODUCES WOODEN TABLE & CHAIRS. UNIT PROFIT FOR TABLE – 6Rs/- UNIT PROFIT FOR CHAIR – 8Rs/-  LETS ASSUME THERE ARE ONLY TWO RESOURCES COMPANY USES TO PRODUCE TABLE & CHAIR  WOOD (BOARD FEET)  LABOUR (HOUR)

 IT TAKES 30 WOOD & 5 HOURS TO MAKE A TABLE &  20 WOOD (BF) & 10 HOURS TO MAKE A CHAIR  THERE ARE 300 BOARDFEET OF WOOD AVAILABLE & 110 HOURS OF LABOUR AVAILABLE  THE COMPANY WISHES TO MAXIMIZE THE PROFIT (OBJECTIVE VARIABLE)  RESOURCES (WOOD & LABOUR) ARE DECISION VARIABLES  THE LIMITATION ON RESOURCES AVAILABILITY FORM THE CONSTRAINT

SIMPLEX METHOD  MOST COMMON WAY TO SOLVE THE LARGE LP PROBLEMS  MATHEMATICAL TERM  SIMPLEX IS A LINE SEGMENT CONNECTING TWO POINTS TWO DIMENSIONAL THREE DIMENSIONAL

EXAMPLE LP FORMULATION RESOURCESTABLE (x1)CHAIR (x2)AVAILABLE WOOD LABOUR UNIT PROFIT68-

 TO SIMULTENIOUSLY SOLVE THE TWO CONSTRAINT EQUATION, FIRST MULTIPLY THE LABOUR EQUATION BY -2, & ADD IT TO THE WOOD EQUATION 30x1 + 20x2 = 300 (WOOD) -2(5x1 + 10x2 = 110) (LABOUR) 20x1 + 0= 80 x1= 4 TABLES

WOOD CONSTRAINT

LABOR CONSTRAINT

THANK YOU QUESTIONS ? IF ANY ?