- •Preface
- •1.1 Introduction
- •1.2 Models and modelling
- •1.3 The learning process for mathematical modelling
- •Summary
- •Aims and objectives
- •2.1 Introduction
- •2.2 Examples
- •2.3 Further examples
- •Appendix 1
- •Appendix 2
- •Aims and objectives
- •3.1 Introduction
- •3.2 Definitions and terminology
- •3.3 Methodology and modelling flow chart
- •3.4 The methodology in practice
- •Background to the problem
- •Summary
- •Aims and objectives
- •4.1 Introduction
- •4.2 Listing factors
- •4.3 Making assumptions
- •4.4 Types of behaviour
- •4.5 Translating into mathematics
- •4.6 Choosing mathematical functions
- •Case 1
- •Case 2
- •Case 3
- •4.7 Relative sizes of terms
- •4.8 Units
- •4.9 Dimensions
- •4.10 Dimensional analysis
- •Summary
- •Aims and objectives
- •5.1 Introduction
- •5.2 First-order linear difference equations
- •5.3 Tending to a limit
- •5.4 More than one variable
- •5.5 Matrix models
- •5.6 Non-linear models and chaos
- •5.7 Using spreadsheets
- •Aims and objectives
- •6.1 Introduction
- •6.2 First order, one variable
- •6.3 Second order, one variable
- •6.4 Second order, two variables (uncoupled)
- •6.5 Simultaneous coupled differential equations
- •Summary
- •Aims and objectives
- •7.1 Introduction
- •7.2 Modelling random variables
- •7.3 Generating random numbers
- •7.4 Simulations
- •7.5 Using simulation models
- •7.6 Packages and simulation languages
- •Summary
- •Aims and objectives
- •8.1 Introduction
- •8.2 Data collection
- •8.3 Empirical models
- •8.4 Estimating parameters
- •8.5 Errors and accuracy
- •8.6 Testing models
- •Summary
- •Aims and objectives
- •9.1 Introduction
- •9.2 Driving speeds
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Rewritten problem statement
- •Obtain the mathematical solution
- •9.3 Tax on cigarette smoking
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •9.4 Shopping trips
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •Interpret the mathematical solution
- •Using the model
- •9.5 Disk pressing
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •Interpret the mathematical solution
- •Further thoughts
- •9.6 Gutter
- •Context and problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •9.7 Turf
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •Interpret the solution
- •9.8 Parachute jump
- •Context and problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •9.9 On the buses
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •9.10 Further battles
- •Discrete deterministic model
- •Discrete stochastic model
- •Comparing the models
- •9.11 Snooker
- •Context
- •Problem statement
- •Formulate a mathematical model
- •Obtain the mathematical solution
- •Interpret the mathematical solution
- •9.12 Further models
- •Mileage
- •Heads or tails
- •Picture hanging
- •Motorway
- •Vehicle-merging delay at a junction
- •Family names
- •Estimating animal populations
- •Simulation of population growth
- •Needle crystals
- •Car parking
- •Overhead projector
- •Sheep farming
- •Aims and objectives
- •10.1 Introduction
- •10.2 Report writing
- •Preliminary
- •Main body
- •Appendices
- •Summary
- •General remarks
- •10.3 A specimen report
- •Contents
- •1 PRELIMINARY SECTIONS
- •1.1 Summary and conclusions
- •1.2 Glossary
- •2 MAIN SECTIONS
- •2.1 Problem statement
- •2.2 Assumptions
- •2.3 Individual testing
- •2.4 Single-stage procedure
- •2.5 Two-stage procedure
- •2.6 Results
- •2.7 Regular section procedures
- •2.8 Conclusions
- •3 APPENDICES
- •3.1 Possible extensions
- •3.2 Mathematical analysis
- •10.4 Presentation
- •Preparation
- •Giving the presentation
- •Bibliography
- •Solutions to Exercises
- •Chapter 2
- •Example 2.2 – Double wiper overlap problem
- •Chapter 4
- •Chapter 5
- •Chapter 6
- •Chapter 8
- •Index
CHAPTER 9
Example Models
Aims and objectives
In this chapter we illustrate the application of the techniques discussed in previous chapters to a variety of example problems.
9.1 Introduction
In this chapter we look at a selection of models from a variety of backgrounds. There is no common theme and the models are not developed in detail. The aim of this chapter is to illustrate and complement the work of the previous chapters and it gives us an opportunity to put into practice some of the principles discussed.
As far as is practical, we have followed the methodology of chapter 3 in order to emphasise again that the underlying modelling process involves the same stages even when the individual problems vary widely in context. You should adopt this practice, or one similar to it, in your own modelling efforts with the qualification that the methodology is to be regarded as a helpful framework rather than a compulsory strait-jacket. For reference an outline of the methodology is repeated here.
Context.
Problem statement, objective, given …, find ….
Formulate a mathematical model, list factors and assumptions. Obtain the mathematical solution.
Interpret the mathematical solution, validate the model. Using the model, further thoughts.
The examples given in this chapter are not all complete; in fact, there are many questions left unanswered. You should read each modelling development critically. Try out your own ideas on these models and improve on them if you can.
9.2 Driving speeds
Context
A firm is carrying out a cost-cutting exercise and requires your help with an investigation into how it can reduce its transport costs. The firm employs a
number of drivers who cover a substantial amount of mileage every day. There has recently been a large increase in their fuel costs and drivers can achieve a higher rate of miles per gallon from their vehicles by driving at a lower speed. This, however, increases journey times and the cost of the drivers’ time.
Problem statement
Can you develop a model which, given the relevant information, could give advice on the optimum
driving speed to keep costs to a minimum?
Formulate a mathematical model
This problem involves journeys, vehicles and drivers.
Factors concerning the journey
Distance travelled
Speed
Cost
Factors concerning the vehicle
Fuel cost
Fuel consumption rate
Factors concerning the driver
Cost
We now list our variables and parameters as shown in Table 9.1.
Table 9.1
Note that we have listed fuel consumption as a variable because it depends on the driving speed. Note also that we regard the driving speed as a variable in the
sense that any value can be chosen for it, while we regard the wage rate and fuel cost as given. We will in fact assume that the journey is done at a constant speed s.
Rewritten problem statement
Given values of d, f and w and given the relationship between g and s find the value of s which makes C a minimum.
Assumptions
1.The journey is travelled at a constant speed.
2.Drivers’ pay is directly proportional to time.
3.The possible effect of speed on vehicle maintenance cost is ignored.
4.The vehicles deliver 40 mpg at 30 mph decreasing steadily with increasing speed to 20 mpg at 70 mph.
Obtain the mathematical solution
First we need a model for the relationship between g and s. The simplest model is shown in Figure 9.1. The equations relating g and s are:
The journey time is d/s so the cost of the driver's time is dw/s.
The cost of the fuel is df/g, so the total cost is:
Figure 9.1
Differentiating, we have:
and we see that for 30 < s < 70 d C /d s can = 0 if (55 − 0.5 s ) 2 = 0.5 fs 2 / w which gives:
So the optimum speed depends on the ratio f/w.
Figure 9.2 shows this dependence in graphical form bearing in mind that we are measuring f and w in our chosen units.
Our formula for the optimum driving speed applies for f/w between about 0.1 and 3.5 (which give optimum speeds of 70 and 30 mph respectively).