Problem Solving by using Quantitative Models and Computers.

Slides:



Advertisements
Similar presentations
Chapter 5 Sensitivity Analysis: An Applied Approach
Advertisements

Copyright (c) 2003 Brooks/Cole, a division of Thomson Learning, Inc. 1 Chapter 5 Sensitivity Analysis: An Applied Approach to accompany Introduction to.
Introduction to Sensitivity Analysis Graphical Sensitivity Analysis
LP Examples Solid Waste Management
Transportation, Transshipment, and Assignment Problems
Notes 4IE 3121 Why Sensitivity Analysis So far: find an optimium solution given certain constant parameters (costs, demand, etc) How well do we know these.
INTRODUCTION TO MODELING
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall.
Chapter 1 DECISION MODELING OVERVIEW. MGS 3100 Business Analysis Why is this class worth taking? –Knowledge of business analysis and MS Excel are core.
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall Publishers and Ardith E. Baker.
Chapter 7 Linear Programming Models Part One n Basis of Linear Programming n Linear Program formulati on.
Chapter 1: Introduction to Managerial Decision Modeling © 2007 Pearson Education.
Linear Programming Example 5 Transportation Problem.
© 2005 Prentice Hall7-1 Stumpf and Teague Object-Oriented Systems Analysis and Design with UML.
Transportation and Assignment Models
Overview of The Operations Research Modeling Approach.
Linear Programming: Fundamentals
6s-1Linear Programming CHAPTER 6s Linear Programming.
Transportation and Assignment Problems
1 1 Slide LINEAR PROGRAMMING Introduction to Sensitivity Analysis Professor Ahmadi.
Management Science Chapter 1
Transportation, Assignment, Network Models
1 1 Slides by John Loucks St. Edward’s University Modifications by A. Asef-Vaziri.
(Not in text).  An LP with additional constraints requiring that all the variables be integers is called an all-integer linear program (IP).  The LP.
Solver Linear Problem Solving MAN Micro-computers & Their Applications.
Linear programming. Linear programming… …is a quantitative management tool to obtain optimal solutions to problems that involve restrictions and limitations.
Chapter 3 Introduction to Optimization Modeling
Two Discrete Optimization Problems Problem: The Transportation Problem.
Chapter 4 - Linear Programming: Computer Solution Excel Solver
Chapter 19 Linear Programming McGraw-Hill/Irwin
Quantitative Methods of Management
1 Using Composite Variable Modeling to Solve Integrated Freight Transportation Planning Problems Sarah Root University of Michigan IOE November 6, 2006.
Modeling.
Mathematical Programming Cht. 2, 3, 4, 5, 9, 10.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 6S Linear Programming.
Stevenson and Ozgur First Edition Introduction to Management Science with Spreadsheets McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies,
Chapter 6 Supplement Linear Programming.
Donald Waters, Quantitative Methods for Business, 4 th Edition © Donald Waters 2008 Slide 12.1 Chapter 12 Planning with linear programming.
Linear Programming McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
The Transportation Model Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent.
作業研究 Using Excel to Formulate and Solve Transportation Problems.
Transportation Problems Dr. Ron Lembke. Transportation Problems Linear programming is good at solving problems with zillions of options, and finding the.
Linear Programming Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 6S Linear Programming.
The Transportation Model McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
MA3264 Mathematical Modelling Lecture 9 Chapter 7 Discrete Optimization Modelling Continued.
An Integrated Approach to Load Matching, Routing, and Equipment Balancing Problem Sarah Root June 8, 2005 Joint work with advisor Amy M. Cohn.
Chapter 2 Linear Programming Models: Graphical and Computer Methods
Chapter 1: Introduction to Managerial Decision Modeling Jason C. H. Chen, Ph.D. Professor of MIS School of Business Administration Gonzaga University Spokane,
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.
McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Supplement 6 Linear Programming.
Fill a number from 1-9 only once so that the three numbers are identical _ + _ - _ = _ + _ - _ = _ + _ - _ Where should 1, 2, 3, 4, 5, 6, 7, 8, 9 be placed?
Kerimcan OzcanMNGT 379 Operations Research1 Linear Programming Chapter 2.
The Multicommodity Flow Problem Updated 21 April 2008.
Schedule Reading material for DEA: F:\COURSES\UGRADS\INDR\INDR471\SHARE\reading material Homework 1 is due to tomorrow 17:00 ( ). Homework 2 will.
Linear Programming McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
The following principles must be kept in mind while formulating models.  PRINCIPLE OF SIMPLICITY Mathematicians are of the habit of making complex models.
Chapter 1: Introduction to Managerial Decision Modeling.
Prepared by John Swearingen
Linear Programming.
Problem 1 Demand Total There are 20 full time employees, each can produce 10.
Ch 11 Resource Constraints and Linear Programming
The Transportation Model
Introduction to Modeling
Sensitivity Analysis and
Using WinQSB to solve Linear Programming Models
Sensitivity.
BUS-221 Quantitative Methods
The steps of scientific computation
Applied Statistical and Optimization Models
Presentation transcript:

Problem Solving by using Quantitative Models and Computers

? A real-world problem Understand Problem thoroughly Select an appropriate model Formulate the problem into the model Input into computer in a way that computer can understand Scrutinize and interpret the computer result Solve Result Sensitivity Analysis 9

Understanding Problem Step 2, understanding problem thoroughly: –Objective, –Conditions and restrictions, –Data needed, –What the result is like.

Formulate Problem Step 4, Formulate the problem into the selected model –Re-describe the problem in terms of the model In LP, objective function and constraints In transportation model, sources and destinations.

Input into Computer Step 5, Input the problem into computer in a way that computer understands –Select software package for solving the model (QM or Excel, for example) –Input the data into the proper model following the data format.

Work with Results Step 8, Scrutinize and interpret the result from computer –Understand the output of computer. –Observe the result to see whether it is reasonable, whether it makes sense. –Interpret the result from managerial point of view.

Sensitivity Analysis Sensitivity analysis is to see how possible changes of parameters in the model would impact on the optimal solution.

Additional Restrictions Additional restrictions can be dealt with before or after the computer solves the problem. –Before. Re-formulate the model to incorporate the additional restrictions. –After. Modify the computer result to reflect the additional restrictions.

Manipulations The real-world problem usually does not fit a model perfectly, where manipulations are needed. –Manipulation is handling some conditions or parameters in indirect but equivalent ways. –Examples: Prohibited route in the transportation model Solving assignment problem by using transportation model