1 Introduction Chapter 1. 2 1.1 What Is Management Science? Management Science is the discipline that adapts the scientific approach for problem solving.

Slides:



Advertisements
Similar presentations
1 1 Slide Chapter 1 & Lecture Slide Body of Knowledge n Management science Is an approach to decision making based on the scientific method Is.
Advertisements

1Introduction to Linear ProgrammingLesson 2 Introduction to Linear Programming.
INTRODUCTION TO MODELING
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall.
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall Publishers and Ardith E. Baker.
1 Introduction to Operations Research Prof. Fernando Augusto Silva Marins
Managerial Decision Modeling with Spreadsheets
© 2008 Prentice-Hall, Inc. Chapter 7 To accompany Quantitative Analysis for Management, Tenth Edition, by Render, Stair, and Hanna Power Point slides created.
Decision Making: An Introduction 1. 2 Decision Making Decision Making is a process of choosing among two or more alternative courses of action for the.
To accompany Quantitative Analysis for Management, 8e by Render/Stair/Hanna 7-1 © 2003 by Prentice Hall, Inc. Upper Saddle River, NJ Chapter 7 Linear.
Chapter 1 Introduction.
Operations Management
INTRODUCTION TO MANAGERIAL DECISION MODELING
Linear Programming Introduction. linear function linear constraintsA Linear Programming model seeks to maximize or minimize a linear function, subject.
Linear and Integer Programming Models
INTRODUCTION TO MANAGERIAL DECISION MODELING
Introduction to Management Science
Introduction to Modelling
Management Science Chapter 1
Introduction to Management Science
Management Science Chapter 1
The Management Science Approach Problem Definition.
Operations Research I Lecture 1-3 Chapter 1
Linear programming. Linear programming… …is a quantitative management tool to obtain optimal solutions to problems that involve restrictions and limitations.
Linear Programming Models: Graphical and Computer Methods
OPERATIONS RESEARCH Session I – Introduction to OR and Business Application.
Management Science Chapter 1
Chapter 4 An Introduction to Optimization
Applied Management Science Introduction Tran, Van Hoai Faculty of Computer Science & Engineering HCMC University of Technology Tran Van Hoai.
Quantitative Methods of Management
Linear Programming Chapter 13 Supplement.
What Is Management Science?
Introduction to Management Science
1-1 Management Science Chapter 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall.
Managerial Decision Making and Problem Solving
Introduction A GENERAL MODEL OF SYSTEM OPTIMIZATION.
Introduction to Management Science
MBA7025_01.ppt/Jan 13, 2015/Page 1 Georgia State University - Confidential MBA 7025 Statistical Business Analysis Introduction - Why Business Analysis.
MGS3100_01.ppt/Aug 25, 2015/Page 1 Georgia State University - Confidential MGS 3100 Business Analysis Introduction - Why Business Analysis Aug 25 and 26,
Introduction. MS / OR Definition: Management Science (MS) or Operations Research (OR) is the scientific discipline devoted to the analysis and solution.
MBA7020_01.ppt/June 13, 2005/Page 1 Georgia State University - Confidential MBA 7020 Business Analysis Foundations Introduction - Why Business Analysis.
Introduction Hamdy A. Taha, Operations Research: An introduction, 8th Edition.
Chapter 1 Introduction n Introduction: Problem Solving and Decision Making n Quantitative Analysis and Decision Making n Quantitative Analysis n Model.
1 A Linear Programming model seeks to maximize or minimize a linear function, subject to a set of linear constraints. The linear model consists of the.
Management Science Helps analyze and solve organizational problems. It uses scientific and quantitative methods to set up models that are based on controllable.
Managerial Decision Modeling with Spreadsheets Chapter 1 Introduction to Managerial Decision Modeling.
Arben Asllani University of Tennessee at Chattanooga Business Analytics with Management Science Models and Methods Chapter 2 Introduction to Linear Programming.
1 Management Science. 2 Chapter Topics The Management Science Approach to Problem Solving Model Building: Break-Even Analysis Computer Solution Management.
IT Applications for Decision Making. Operations Research Initiated in England during the world war II Make scientifically based decisions regarding the.
Introductory material Jonathan Godfrey.
© 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
1 Chapter 1 Introduction Exposure to quantitative methods will teach managers to ask the right questions. Quantitative Decision Making.
Management Science Chapter 1
Prepared by John Swearingen
Chapter 1 Introduction.
Operations Research Chapter one.
Slides by John Loucks St. Edward’s University.
Management Science Chapter 1
Introduction Hamdy A. Taha, Operations Research: An introduction, 8th Edition Mjdah Al Shehri.
Management Science Chapter 1
Management Science Chapter 1
Management Science Chapter 1
Linear Programming Introduction.
Research Operation / Management science
Linear Programming Introduction.
Introduction Hamdy A. Taha, Operations Research: An introduction, 8th Edition Mjdah Al Shehri.
Decision Science Chapter 1 Intoduction.
BUS-221 Quantitative Methods
Introduction to Decision Sciences
MSE 606A Engineering Operations Research
Presentation transcript:

1 Introduction Chapter 1

2 1.1 What Is Management Science? Management Science is the discipline that adapts the scientific approach for problem solving to help managers make informed decisions. The goal of management science is to recommend the course of action that is expected to yield the best outcome with what is available.

3 The basic steps in the management science problem solving process involves – Analyzing business situations and building mathematical models to describe them; – Solving the mathematical models; – Communicating/implementing recommendations based on the models and their solutions. 1.1 What Is Management Science?

4 Management Science Applications Linear Programming was used by Burger King to find how to best blend cuts of meat to minimize costs. Integer Linear Programming model was used by American Air Lines to determine an optimal flight schedule. The Shortest Route Algorithm was implemented by the Sony Corporation to developed an onboard car navigation system.

5 Management Science Applications Project Scheduling Techniques were used by a contractor to rebuild Interstate 10 damaged in the 1994 earthquake in the Los Angeles area. Decision Analysis approach was the basis for the development of a comprehensive framework for planning environmental policy in Finland. Queuing models are incorporated into the overall design plans for Disneyland and Disney World, which lead to the development of ‘waiting line entertainment’ in order to improve customer satisfaction.

6 1.3 Mathematical Modeling Many managerial decision situations lend themselves to quantitative analyses. A constrained mathematical model consists of – An objective – One or more constraints

7 Desks (D) Chairs (C) Molded steel (M) – Net profit is $50 per desk $30 per chair $6 per pound of molded steel sold – Raw material required 7 pounds of per desk 3 pounds of per chair 1.5 pounds per one pound of molded steel produced. – Raw material available 2000 pounds 1.3 Mathematical Modeling Example NewOffice Furniture produces three products

8 Objective: Determine production mix that maximizes the profit under the raw material constraint and other production requirements (detailed next). Maximize 50D + 30C + 6 M Subject to 7D + 3C + 1.5M  2000 (raw steel) D  100 (contract ) C  500 (cushions available) D, C, M  0(Non-negativity) D and C are integers 1.3 Mathematical Modeling

9 Classification of Mathematical Models Classification by the model purpose – Optimization models – Prediction models Classification by the degree of certainty of the data in the model – Deterministic models – Probabilistic (stochastic) models

10 The Management Science Process The four-step management science process Problem definition Mathematical modeling Solution of the model Communication/implementation of results

Using Spreadsheets in Management Science Models Spreadsheets have become a powerful tool in management science modeling. Several reasons for the popularity of spreadsheets: – Data are submitted to the modeler in spreadsheets – Data can be analyzed easily using statistical and mathematical tools readily available in the spreadsheet. – Data and information can easily be displayed using graphical tools.