Operation Research Chapter 1

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What is Operations Research (OR) dedicated to?

Analysis and solution of complex decision making

Decision making can be difficult due to uncertainty, multiple objectives, and multiple decision makers.

True

What are some application areas of Operations Research?

Education, Production, Natural resources, Health care, Transportation, Finance, Marketing, Human resources management, and Sports

In the Intelligence phase of decision making, the environment is scanned to identify __________ or opportunities.

problem situations

Match the phases of decision making with their descriptions:

Intelligence = Examining reality, identifying the problem, and defining it Design = Generating, developing, and analyzing possible courses of action Choice = Selecting a course of action from available options Implementation = Executing the solution to the original problem

Study Notes

Operation Research Definition

  • Operation Research (OR) is a scientific discipline that deals with the analysis and solution of complex decision-making problems
  • OR uses a wide range of skills, including math, statistics, probability theory, economics, business, computers, engineering, and physical and behavioral sciences

Difficulty in Decision Making

  • Decisions can be difficult to make due to complexity, uncertainty, multiple objectives, and multiple decision makers

Application Areas

  • Education
  • Production
  • Natural resources
  • Health care
  • Transportation
  • Finance
  • Marketing
  • Human resources management
  • Sports

Application Examples

  • Scheduling airline crews
  • Catalog sales and telemarketing operations
  • Transportation planning
  • Portfolio management
  • Fast-food restaurant operations

Decision Making Phases

  • Intelligence: searching for conditions that call for decisions, examining reality, identifying and defining the problem
  • Design: generating, developing, and analyzing possible courses of action, constructing a representative model, validating and evaluating the model
  • Choice: selecting a course of action from available alternatives, proposing a solution to the model/problem
  • Implementation: implementing the solution to the original problem, and possibly backtracking or cycling throughout the process

Intelligence Phase

  • Scanning the environment to identify problem situations or opportunities
  • Identifying organizational goals and objectives
  • Determining whether goals are being met
  • Defining the problem explicitly
  • Distinguishing between problem and symptoms of problem

Design Phase

  • Generating, developing, and analyzing possible courses of action
  • Understanding the problem
  • Testing solutions for feasibility
  • Constructing, testing, and validating a model
  • Identifying evaluation criteria

Principle of Choice

  • Criteria for selecting a solution, including what makes a solution best or good enough
  • Decision regarding the acceptability of a solution approach
  • Principles of choice can be normative, descriptive, or political

Management Science Process

  • Classification of management science techniques
  • Characteristics of optimization problems, including decisions, constraints, and objectives

Optimization Models

  • Optimization problems involve satisfying objectives subject to constraints
  • Examples of constraints include time, budget, space, capacity, energy, and demand
  • Optimization models aim to find the optimal decision

General Form of an Optimization Problem

  • MAX (or MIN) of the objective function f0(X1, X2, …, Xn) subject to constraints f1(X1, X2, …, Xn)=bk, …, fm(X1, X2, …, Xn)=bm

General Form of a Linear Programming (LP) Problem

  • MAX (or MIN) of the objective function c1X1 + c2X2 + … + cnXn subject to constraints a11X1 + a12X2 + … + a1nXn, …

Introduction to Operations Research, a scientific discipline that uses various skills to analyze and solve complex decision making problems.

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