Full Title Applied Statistical Improvement

Short Title Applied Statistical Improvemen

Code QLTY07023
Level 07
Credit 05

Author Curran, Paul
Department Mech. and Electronic Eng.

Subject Area Quality
Attendence N/A%
Fee

Description

The student should be able to function as part of a team undertaking an Experimental Design Experiment and understand concepts of Reliability and be able to develop a sample inspection plan.


Indicative Syllabus

Reliability

  1. Introduction to reliability engineering, definitions, bathtub curve, life cycle costing. Fundamentals of reliability prediction, series and parallel systems.
  2. Simple  FTA.

Acceptance Sampling

  1. Situations Used, advantages/disadvantages, O.C. Curve characteristics of a good sampling plan, Development of single sampling plans and O.C. Curves.
  2. Acceptance Sampling by Attributes, Sampling plans Z1.4, Double and Multiple Sampling plans.

 

Experimental Design

  1. Planning an experiment. Guidelines for designing experiments.
  2.  "2 to the power of k" factorial designs. Their analysis and interpretation. Randomisation, replication and blocking. Model adequacy checking. Computer  analysis of experimental data.

Introduction to Taguchi methods. Loss function. Plan an experiment using Taguchi methods and subsequent computer analysis and interpretation. Confirmatory runs. Comparison between Taguchi and Classical methods.

 

Introduction to Non Parametric Statistics. Advantages and Disadvantages, Testing Hypothesis using various tests

Indicative Practicals/Projects

Plot Reliability data using Weibull chart paper

Development of a single sample Inspection Plan

DOE Classical methods assignment

Taguchi assignment

 


Learning Outcomes
On completion of this module the learner will/should be able to
  1.  Explain the concepts of reliability

  2. Perform simple reliability predictions and modeling.

  3. Understand single and multiple sampling plans

  4. Develop a single sample plan and O.C. Curve

  5. Plan and conduct a designed experiment

  6.  Perform a Taguchi Experimental Design

  7.  Analyse and interpret data arising from a designed experiment.

  8. Undertake basic Reliability design analysis using FTA


Assessment Strategies

Assessment will be performed throughout the academic period through assignments and mini-examinations. There will be a final examination at the end of the academic period.


Assessment Facilitites

Assignments will be carried out using the Moodle V.L.E.


Module Dependencies
Pre Requisite Modules
Co Requisite Modules
Incompatible Modules

Coursework Assessment Breakdown %
Course Work / Continuous Assessment 30 %
End of Semester / Year Formal Examination 70 %

Coursework Assessment Breakdown

Description Outcome Assessed % of Total Assessment Week
Assignment 1,2,3,4,5,6,7,8 30 OnGoing


End Exam Assessment Breakdown

Description Outcome Assessed % of Total Assessment Week
Final Exam 1,2,3,4,5,6,7,8 70 End of Term


Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload
Lecture Not Specified Theory 2 Weekly 2.00
Tutorial Not Specified tutorial 2 Weekly 2.00

Total Average Weekly Learner Workload 4.00 Hours

Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload
Lecture Not Specified Lecture 2 Weekly 2.00
Tutorial Not Specified Tutorial 2 Weekly 2.00

Total Average Weekly Learner Workload 4.00 Hours

Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload

Total Average Weekly Learner Workload 0.00 Hours

Mode Workload

Type Location Description Hours Frequency Avg Weekly Workload

Total Average Weekly Learner Workload 0.00 Hours

Resources
Book Resources

 

Already stated


Other Resources

Minitab - student version

Url Resources

N/A

Additional Info

ISBN BookList

Book Cover Book Details
Jiju Antony 2014 Design of Experiments for Engineers and Scientists Elsevier Science Limited
ISBN-10 0080994172 ISBN-13 9780080994178
Kailash C. Kapur, Michael Pecht 2014 Reliability Engineering John Wiley & Sons
ISBN-10 1118140672 ISBN-13 9781118140673
Brenda S. Ramírez, José G. Ramírez 2018 Douglas Montgomery's Introduction to Statistical Quality Control
ISBN-10 1635260221 ISBN-13 9781635260229