Business Decision Modeling - PowerPoint PPT Presentation

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Business Decision Modeling

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Title: Math 326 Mathematics for Decision Making Author: Teacher Last modified by: John F. Kros Created Date: 1/22/1998 4:12:17 PM Document presentation format – PowerPoint PPT presentation

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Title: Business Decision Modeling


1
Business Decision Modeling
  • Introductions
  • Professor
  • Students
  • Housekeeping notes
  • Syllabus
  • Attendance
  • Homework, quizzes, exams, etc.

2
What is Business Decision Modeling?
  • The application of scientific approach to
    solving management problems in order to help
    managers make better decisions - Taylor
  • ...the application of quantitative analysis to
    managerial decision making. - Lee
  • ...operations research may be described as a
    scientific approach to decision making. -
    Hillier and Lieberman
  • Operations management is the study of decision
    making in the operations function. - Schroeder

3
QM, OR, OM?
  • MS is referred to as all of the above
  • Management science
  • Operations research
  • Quantitative analysis
  • Operations management
  • However, it is actually a process for solving
    problems
  • What type of problems? In what Industries?

4
MS is Used Extensively In
  • Banking
  • Loan portfolio optimization
  • Credit Card Management
  • Manufacturing
  • Quality Control
  • Production Scheduling
  • Entertainment
  • Demand Forecasting
  • Queuing/Crowd Control
  • Airline/Travel Industry
  • Ticketing/Reservations
  • Airplane Maintenance
  • Marketing
  • Market Research
  • Consumer Preferences
  • Computer Science
  • Software Development
  • Simulation

5
Companies Using MS
  • SABRE Decision Technologies
  • airline reservation systems
  • Signet Bank, GE Capital, Providian, Capital One
  • credit card and financial management
  • CSX and Union Pacific Railroad
  • freight transportation
  • Ernst Young, McKinsey,Accenture Consultants
  • business reengineering, forecasting, MIS

6
MS Process
  • Identification of the Problem
  • Definition of the Problem
  • Modeling of the Problem
  • Initial Model Solutions/Conclusions
  • Review and Iteration
  • Implementation
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