Short Title:Industrial Statistics & Quality
Full Title:Industrial Statistics & Quality
Module Code:STAT H4002
 
Credits: 5
NFQ Level:8
Field of Study:Mechanics and metal work
Module Delivered in 3 programme(s)
Reviewed By:DIARMUID RUSH
Module Author:Liam Costelloe
Module Description:To provide the student with statistical tools for designing experiments, evaluating processes and predicting responses. This module will also provide the student with quality tools for supporting quality functions within a manufacturing organisation.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Design experiments involving a number of factors.
LO2 Analyse experimental data with the help of software
LO3 Communicate findings in a variety of formats
LO4 Evaluate the performance of a process
LO5 Explore the relationship between variables and attributes
LO6 Select a suitable model from among a number of alternatives
LO7 Demonstrate an understanding of quality management systems applicable to manufacturing, service, medical and pharma sectors.
LO8 Develop and implement a quality audit plan.
LO9 Discuss the important issues of supplier quality management and be able to participate in supplier auditing, approval and rating.
LO10 Evaluate product quality
Pre-requisite learning
Co-requisite Modules
No Co-requisite modules listed
 

Module Content & Assessment

Content (The percentage workload breakdown is inidcative and subject to change) %
Single-factor Experiments
Principles of experimental design: randomisation, replication, blocking. Hypotheses, models and assumptions. One-way Analysis of Variance, by hand and using software.
10.00%
Two-factor experiments
Main effects and interaction effects. Design and analysis of two-factor experiments. Interpreting ANOVA tables and interaction plots.
10.00%
Multi-factor experiments
Fractional factorial experiments. Curvature. Aliasing. Effects plots. Crossed and nested designs. Fixed and random factors. Power and sample size.
10.00%
Regression and Association
Prediction intervals and confidence intervals in regression.Hypotheses testing in regression. Curvilinear and multiple regression. Selection of variables. Categorical data analysis: contingency tables.
10.00%
Process Capability and SPC
Process capability analysis: statistics for assessing centrality, normality, stability, capability and performance. Process control: construction of SPC charts for variables and attributes. Corrective, preventive and remedial action.
10.00%
Quality Management Standards
Management motivation for registration to QMS. Documentation control. Medical Device QMS, Pharma GMP.
10.00%
Supplier Quality Management
Material traceability. Certificate of Compliance. Vendor auditing, approval and rating.
10.00%
Quality Audits
Developing an audit plan and schedule. Audit checklists and execution. Auditing reports and corrective actions.
10.00%
Product Reliability
Product life cycle, MTBF, Failure rate analysis, reliability evaluation.
10.00%
Quality Awards
EIQA, Malcolm Baldridge Quality Award, EFQM Excellence Award, Self-assessment - process and concept.
10.00%
Assessment Breakdown%
Course Work30.00%
End of Module Formal Examination70.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Students will identify, create, execute, analyse and present a number of experimental designs. 1,2,3 10.00 Ongoing
Oral Examination/Interview Students will give an Oral Presentation of their project work from throughout the semester and answer questions. 3 5.00 Week 11
Assignment Students will investigate and explain how a quality related topic (eg Medical Device QMS, Vendor Rating Systems) could be used to improve the performance of people, a process or a specific function. The student is required to submit a written report. 7,8,9,10 15.00 Week 10
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam End-of-Semester Final Examination 1,2,3,4,5,6,7,8,9,10 70.00 End-of-Semester
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

IT Tallaght reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Class Based Instruction 3.00 Every Week 3.00
Lab Laboratory and project work 1.00 Every Week 1.00
Independent Learning Time Independent Learning 4.00 Every Week 4.00
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Class based instruction 3.00 Every Week 3.00
Lab Laboratory and project work 1.00 Every Week 1.00
Independent Learning Time Independent Learning 4.00 Every Week 4.00
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
 

Module Resources

Required Book Resources
  • James Reilly, Applied Statistics, www.statisticalsolutions.ie
Recommended Book Resources
  • Douglas C. Montgomery 2012, Statistical Quality Control, 7th Ed Ed., John Wiley & Sons [ISBN: 9781118322574]
  • Richard E. DeVor, Tsong-how Chang, John W. Sutherland 2007, Statistical quality design and control, Pearson/Prentice Hall Upper Saddle River, N.J. [ISBN: 0130413445]
  • Kenneth Koehler, 2012, Snedecor and Cochran's Statistical Methods, 9th Ed Ed., Blackwell [ISBN: 9780813808642]
  • David L. Goetsch, Stanley B. Davis 2015, Quality Management, 8th Ed Ed., Pearson Prentice Hall [ISBN: 0133791858]
This module does not have any article/paper resources
This module does not have any other resources
 

Module Delivered in

Programme Code Programme Semester Delivery
TA_EMECH_B B.Eng (Honours) in Mechanical Engineering [1 year Add-On] 7 Mandatory
TA_EAMEC_B B.Eng(Hons) in Mechanical Engineering [Ab Initio] 7 Mandatory
TA_ENEEE_B Bachelor of Engineering (Hons) in Sustainable Energy Engineering 7 Mandatory