Module Code - Title:

MS5431 - QUALITY SCIENCE STATISTICS 1

Year Last Offered:

2024/5

Hours Per Week:

Lecture

2

Lab

0

Tutorial

1

Other

0

Private

0

Credits

6

Grading Type:

Prerequisite Modules:

Rationale and Purpose of the Module:

The module is currently offered on 3 distance learning programmes. They have different delivery mechanisms, lecturers and assessments. A recoding of the module to be offered on the MSc in Strategic Quality Management - Lean Sigma Systems and the Specialist Diploma Six Sigma would simplify module registration and grade submission.

Syllabus:

Delivery to include a practical application of software tools to undertake statistical analysis ie use of minitab or similar application. History and development of traditional quality control techniques; Statistical quality control, inspection and detection methods, Taguchi and the design of metrics Fundamental Statistics, Basic distribution theory, Graphs, histograms, location, spread, Box-plots. Statistical Process Control, Various types of control charts for both variable and attribute data. Basic Six Sigma Statistics, T-tests, Regression, Decision making under uncertainty, hypothesis testing and analysis of variance Introduction to Design of Experiments

Learning Outcomes:

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

Describe Quality Science and its evolution Describe the key elements and tools used in Quality Science

Affective (Attitudes and Values)

Explain the role of Quality Science in the design, manufacture, and supply of a product or service

Psychomotor (Physical Skills)

N/A

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

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

Prime Texts:

() MSc Module Distance Education Material Course notes ,

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:

George, Michael L (2002) Lean Six Sigma Combining Six Sigma Quality with Lean Speed , McGraw Hill, New York.

Pande, P., Neuman, R. & Cavanagh R (2000) The Six Sigma Way: How GE, Motorola, and other top Companies are Honing their Performance , London; New York: McGraw-Hill

Arthur, J (2001) Six Sigma Simplified: Quantum Improvement Made Easy , Denver, Co.: Lifestar

Programme(s) in which this Module is Offered:

Semester(s) Module is Offered:

Module Leader:

Ann.Sheahan@ul.ie