Guolin Lai

DSC8240 Course Web

 
Business Modeling for Decision Support

Personal Statement
Chapter 1 Summary
Chapter 2 Report
    Breakeven Analysis
    Price & Demand Relationship
    Quantity Discounts Decision
    Hedging Investment Risk
    Time Value of Money
Enterprise DSS
Time Series Forecasting
DSS Development Project
Simulation Model Examples
    Government Contract Bidding
    GFAuto Model
    Customer Loyalty
    Game of Craps
Monte Carlo Simulation
Optimization Modeling
Term Project
Business Intelligence Research
 
Developing A New Car At GF Auto

Background
Objective Hierarchies
Variables and Attributes
Influence Diagram
Mathematical Representation
Testing and Validation
Implementation and Use

Background

General Ford (GF) Auto Corporation is developing a new type of compact car. This car is assumed to generate sales for the next 10 years. GF has gathered information about the following quantities through focus group with the marketing and engineering departments:

  • Fixed cost of developing car
  • Variable production cost
  • Selling price
  • Demand
  • Production
  • Interest rate

Objective

GF wants to develop a simulation model that will evaluate its NPV for this new car over the 10-year time horizon.

Variables and Attributes

Variable
Variable Type
How Measured
Related to
Fixed production cost Input Variable Total Amount in $ Fixed cost
Variable production cost Input Variable Total Amount in $ Variable cost
Inflation rate Input Variable % Variable cost
Selling price Input Variable $ Sales revenue
Interest rate Input Variable % Variable cost
Demand Input Variable Integer Sales revenue
Production policy Input Variable Statement Production quantity
Mutiple of Standard Deviation Input Variable Number Production quantity
Year-end discount for leftover Input Variable $ Sales revenue

Influence Diagram

Mathematical Representation

1, Use RISKNORMAL(inflation mean, inflation standard deviation) to get variable cost inflation factors.
2, Use (demand mean + (production factor)*(demand standard devision)) to generate production quantity for year 1; and use ((year 1 demand) + (production factor)*(demand standard deviation)) to generate the following years' production quantities.
3, Use RISKNORMAL(demand mean, demand standard deviation) to generate the demand in year 1.
4, Use RISKNORMAL(year 1 demand, demand standard deviation).
5, Use RISKNORMAL(variable production cost mean, variable production cost standard deviation) to generate the variable production cost for the following years.
6, Price = (year 1 price)*(inflation factor).
7, Production cost = (production quantity) * (variable production cost).
8, The revenue in any year is calculated in one or two possible ways. If demand is greater than the production quantity, revenue is the selling price multiplied by the production quantity. Otherwise, if demand is less than the production quantity, revenue is the selling price multiplied by the demand, plus the discounted sales price multiplied by the number of cars left over.
9, Fixed cost = RISKNORMAL(fixed cost mean, fixed cost standard deviation) * 1000.
10, NPV = (interest rate, revenues).
11, total NPV = RISKOUTPUT() + revenues - fixed costs - production costs.

Testing and Validation

Implementation and Use

The model can be manipulated in Microsoft Excel.
Please click here to view the Excel Model.