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Manufacturing Planning and Control

Post-Experience Module Outline


Manufacturing Planning & Control (MPCO)



This module provides an understanding of the fundamental concepts underlying successful manufacturing planning and control (MPC); structured exercises introduce key functions within MPC systems and standard approaches to common MPC issues; the course material is reinforced by a company based post-module assignment.


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

  1. Understand the fundamental concepts underlying manufacturing planning and control systems.

  2. Understand key functions within MPC systems

  3. Understand standard approaches to common MPC issues

  4. Identify and analyse problems within MPC systems



  1. Introduction to Manufacturing Planning and Control (MPC)

  2. Commitments and the Master Schedule

  3. Information Availability and Accuracy

  4. Material and Resource Requirements

  5. Material Requirements Planning (MRP)

  6. Manufacturing Resource Planning (MRPII)

  7. The ABCD Classification Scheme

  8. Resource Planning - Aggregate and Detailed

  9. Feedback Loops and Shop Floor Control

  10. Scheduling - Aggregate, Master, Dispatching

  11. Queue Management and Bottleneck Management

  12. Enterprise Resource Planning (ERP)

  13. Project Management and Multiple Projects Management

  14. Performance Measurements


Duration: 2.5 Days

Assessment: Post Module Assignment

Pre-requisite Knowledge


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


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”.


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.


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


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, 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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