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QUALITY AND STANDARDS COMMITTEE
Module Specification
______________________________________________________________________________________________________________________
Please complete all sections of the form, referring to the guidance notes where necessary.
School and Subject Group
School of Engineering and Applied Science
Engineering Systems and Management
Module Code
LT3307Module Title
Operational Research IIModule Type
Taught ModuleModule Replaces (where appropriate)
Date of introduction of new module
Level
6Credit Value10Programme(s) in which module is available
BSc Logistics Final Year.
BSc Transport Management Final Year.
Involvement of Other Schools
Resource Split
Name of Module Co-ordinator
J. E. WhiteRelated Modules
Pre-requisites
Ideally LT 2307, but not essentialCo-requisites
Prohibited Combinations
Minimum and Maximum Intake Sizes
Aims of the Module
Part A
To develop within the student a knowledge of and appreciation of the systematic application of quantitative methods, tools and techniques used in the analysis of problems involving the operations of systems, particularly in the areas of the management of projects and in Transport and Logistics operations.
Project Network Techniques:
Part B
To develop scientific models for problems which can be represented by a systems approach, especially those related to queuing, simulation and time series analysis.
To be able to identify the components of a queuing system and to apply formulae, where appropriate, to determine the system parameters. To be able to represent a system as a simulation model and to analyse the model to produce output of the appropriate system parameters. To understand the purpose of forecasting methods, to identify the components of time series data and to produce forecasts from these.
Summary of Content
Part A
Network Diagrams, Activity on the Arrow, Activity on the node, Calculations of Total Project Time, Critical Path, Floats. Network Applications: PERT, Time Cost Optimisation, Resource Limited Scheduling, Time Limited Scheduling. Decision Trees and Dynamic Programming. Software Applications
Part B
Queuing Theory: Components of a queuing system, Poisson distribution, Negative Exponential distribution, formulae for simple queuing models.
Simulation Models: Systems concept, fixed time step models, next event models, examples of simulation models using deterministic and random components.
Time Series Analysis (Forecasting). Components of a time series, forecasting methods for time series data with and without a trend e.g. moving averages, exponential smoothing, linear regression. Errors in forecasts. The decomposition of a time series into trend, seasonal components etc. and the use of additive models and multiplicative models.
Summary of Methods and Frequency of Teaching
Lectures: 8 x 3 hr
Tutorials: 3 x 3 hr
Summary of Methods of Assessment
Methods of 75% examination
Assessment: 25% coursework
Module Outcomes what the student should gain from successful completion of the module:
Part A
To be able to represent the activities involved in a project by a network drawing and to analyse this drawing to provide usual information for project managers especially related to project duration and critical and non critical activities. To determine the effects on projects of uncertain time estimates for activities and the effects on project time of limited resources and costs. To investigate the effects on projects where there is uncertainty in the structure of the network drawing.
Part B
To develop scientific models for problems which can be represented by a systems approach, especially those related to queuing, simulation and time series analysis.
To be able to identify the components of a queuing system and to apply formulae, where appropriate, to determine the system parameters. To be able to represent a system as a simulation model and to analyse the model to produce output of the appropriate system parameters. To understand the purpose of forecasting methods, to identify the components of time series data and to produce forecasts from these.
Learning and Teaching and Assessment Strategies to enable outcomes to be achieved and demonstratedLearning and Teaching Methods
Lectures, tutorials.Assessment Methods
Examination.Please provide either or both of:
Author TitleIntroductory Learning Resources
Core Texts
Part A - Project Network Techniques
Project Management and Project Network Techniques - 7th Edition by Lockyer & Gordon
Part B - Queueing/Simulatuion/Forecasting
Operations Research: An Introduction by Taha H. Class No. 001.424TAH
Introduction to Management Science: A modelling and Case Studies Approach with Spreadsheets by Hillier F S. Class No. 658HIL
Reading ListsProject Management
Project Management - A managerial approach by J R Meredith, S J Mantel
Most books on Operational Research/Management Science also have chapters on project network techniques.
Queueing/Simulatuion/Forecasting
Operations Research: An Introduction by Taha H. Class No. 001.424TAH
Introduction to Management Science: A modelling and Case Studies Approach with Spreadsheets by Hillier F S. Class No. 658HIL
An Introduction to Management Science: Quantitative Approaches to Decision Making by Mason O and Anderson D. Class No. 658.0122AND
An Introduction to Operational Research: The Best of Everything by Urry S. Class No. 001.42402584URR
Operational Research: Analysis and Applications by Wilkes F.M. Class No. 658.012122WIL
Operational Research by Makower M Class No. 658.1MAK
Operational Research by Cohen S.S. Class No. 658.01212122COH
Specification completed by:
Date
John White
10 September 2009
Date module approved by Teaching Committee(s)
Date module approved by School Board(s)
RPS/SJD/DLL/Module Specification/24 March 2003(f)
SJD/LAP/Module Programmes
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