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Process Modelling

Post-Experience Module Outline

 

Process Modelling (PROM)

 

Introduction

This module has been developed to consider process simulation, provide participants with a basic understanding of the role, uses, tools and resources associated with process modelling within a manufacturing environment.

 

Objectives: On completion, the participant will be able to: 

  1. Understand the different types of modelling available

  2. Understand the underpinning theory of modelling techniques

  3. Understand the resources required for modelling

  4. Understand the advantages of modelling simulation in manufacturing

  5. Understand how to identify appropriate applications for these techniques

  6. Understand modelling approaches used within different company applications

 

Contents: 

  1. Awareness of commercial modelling packages

  2. Fundamentals of modelling and simulation theory

  3. Modelling case studies on company applications (data collection)

  4. Elementary modelling practice

 

Duration: 2.5 Days

Assessment: Post Module Assignment



Pre-requisite Knowledge

Arithmetic:

You should be able to do basic arithmetic and to use formulae.



Statistics:

You should have a basic understanding of descriptive statistics. The minimum statistics knowledge should include: an understanding of averages, probability, frequency distributions including the normal distribution, standard deviation, sample and population. You will need enough knowledge to be able to explain these terms to others.



(Sources of support are identified on a separate page attached to this outline)



This module is approved by BAE SYSTEMS as a Manufacturing Developing You (MDY) programme “Core Module”.





RECOMMENDED PRE-READING TO IMPROVE KNOWLEDGE PRIOR TO MODULE ATTENDANCE



Two books, listed below, have been identified to help you develop your skills and knowledge. These books may be obtained from book shops, local libraries or through company learning centres where these exist. Use the readings according to your needs: skim them when revising the material, but read in detail and try some of the examples when the material is new.



IMPROVING ARITHMETIC SKILLS AND KNOWLEDGE

In Improve Your Maths (2nd edition) by G Bancroft and M Fletcher, Addison-Wesley, 1998, ISBN 0-201-331306, you should focus on:



Chapter 1 Arithmetic operations: pp 3-11

Introduction, whole numbers, negative numbers, rounding of numbers

Chapter 2 Fractions and decimals: pp 15-26

Introduction, fractions, decimal numbers

Chapter 3 Percentages and ratios: pp 28-37

Introduction, percentages, ratios

Chapter 13 Simple algebra: pp 153-161

Introduction, terminology, simplification



IMPROVING STATISTICAL SKILLS AND KNOWLEDGE

In Statistics (4th edition) by F Owen and R Jones, Longman Group, 1994,

ISBN 0-273-60320-5, you should focus on:



Chapter 1 The organisation of data: pp1-23

Data types, statistical tabulations, grouped frequency distribution, the stem and leaf diagram, the time series

Chapter 2: The presentation of data l: pp 28-46

The bar chart, the pie chart, plotting the frequency distribution – the histogram, plotting the time series, the strata graph

Chapter 5 Averaging of data: pp 93-109

Arithmetic mean, arithmetic mean of a frequency distribution, limitations on the use of the arithmetic mean, the median, the mode

Chapter 9 Dispersion: pp 181-191

Measures of the range, measures of average deviation, relative dispersion

Chapter 10 The normal distribution: pp 203-210

Standard scores, standard normal distribution, applications of the normal distribution

Chapter 11 Probability: pp 216-227

Some definitions, how we measure probability, three approaches to probability, the laws of probability, and applications of the laws of probability

Chapter 15 Sample design: pp 302-310

The sampling frame, systematic sampling, stratified sampling, multi-stage sampling, cluster sampling, quota sampling



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