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Module Code - Title:


Year Last Offered:


Hours Per Week:













Grading Type:


Prerequisite Modules:

Rationale and Purpose of the Module:

This module is being introduced to replace MS5441 and is a title change only to reflect Programme Modifications approved in the 2016/17 academic year. It will introduce Quality Science methodologies to industry based students on the SDIP in Six Sigma and MSc in Quality Management


Introduce methods of Statistical Process Control, SPC for short run production, Cusum charts, multivari charts, individual/moving range charts. Introduce Six Sigma Statistics, Process capability indices - Cp, Cpk etc., R&R studies, machine capability. Design of Experiments Fractional and factorial designs, Taguchi methods, EVOP (evolutionary operation) experimentation. Multiple Regression, two way analysis of variance. Introduction to Reliability Theory.

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

Apply the domain theory to the development of process understanding. Assess multiple control options through iterative analysis Develop competence to work in an quality/ improvement team on a process understanding & control Describe methods of Statistical Process Control and explain the importance of and differences between Common and Special Cause Variation Prepare a technical presentation to potential stakeholders

Affective (Attitudes and Values)

Appreciate the responsibilities and requirements of participating/leading process understanding and control initiatives

Psychomotor (Physical Skills)


How the Module will be Taught and what will be the Learning Experiences of the Students:

Delivery will be through a blended learning approach. This will include face-to-face classroom workshops, webinars and moderated discussion boards. Material will be introduced through expert workshops and learning will be developed through prescribed readings and other activities such as case studies, simulations, online activities, computational problems and other media. A series of tutor facilitated skills based workshops at which practical exercises and applications reinforce the learning material studied by participants in the on-line environment. This mode guides participants through material but requires them to deploy the learning in their own organisation. Assessment of students will be based on a combination of regular assignments submitted throughout the course in conjunction with delivery of a company critical design project. 1) Be knowledgeable of the requirements for structuring studies for the evaluation of process understanding 2) Be creative in structuring statistical studies for robust analysis 3) Understand the importance of correctly designing studies to support the investigation 4) Be articulate in presenting and describing the results of the statistical studies 5) Understand improvement roadmaps for achieving goals 6) Be appreciative of the impact on variation on process behaviour

Research Findings Incorporated in to the Syllabus (If Relevant):

Prime Texts:

Breyfogle III, F. W (2003) Implementing Six Sigma , Hoboken, New Jersey., John Wiley & Sons
Evans, J. R. and W. M. Lindsay (2005) An Introduction to Six Sigma & Process Improvement , Mason, Ohio, Thomson South-Western

Other Relevant Texts:

Programme(s) in which this Module is Offered:

MSSQMATDA - Strategic Quality Management (Lean Sigma Systems)
MSSQMATDB - Strategic Quality Management (Lean Sigma Systems)
SDQMSSTDA - Quality Management (Six Sigma)
SDQMSSTDB - Quality Management (Six Sigma)

Semester - Year to be First Offered:

Module Leader: