Download Module Quality Systems

MECH H3014: Quality
Systems
Short Title:
Quality Systems APPROVED
Full Title:
Quality Systems
Module Code:
MECH H3014
ECTS credits:
5
NFQ Level:
7
Module Delivered in
no programmes
Module Contributor:
Mohamad Saleh
Module Description:
This module is broken up into three distinct sections: The first is dedicated to project management
methodologies and is designed to supplement and support module MECH H3016 Project Part (1), that is
also commencing at this time. The second part presents the student with an overview of pragmatic quality
improvements in the modern business environment. Students will cover aspects of Statistical Process
Control (SPC) and capability analysis for both variable and attribute data classifications focusing on
performance metrics in each respective area. The third part covers process design and improvement with
designed experiments covering factorial and fraction factorial experiments and analysis of variance analysis.
Acceptance sampling is also covered in this section.
Learning Outcomes:
On successful completion of this module the learner will be able to
1. Demonstrate familiarity with : Project life phases and project management processes; Project Characteristics, project
planning and scheduling; Programme evaluation review technique and critical path methods; Network diagrams and
activity sequencing; Resource leveling and project crashing and standard project documentations;
2. Develop project Gantt charts with all different classifications of relationship between elements incorporating lead and lag
times with single and multiple time estimates
3. Represent projects in a network diagram format using critical path analysis and project crashing to evaluate the project
application and cost estimations
4. Understand the quality systems in modern industry; six sigma implementations; and have competence in Statistical
process control chart development for variables and attributes and performing statistical analysis.
5. Be able to apply accepting sampling plans; sampling procedure; operational characteristics curve to resolve industrial
problems.
6. Apply systematic approach in process design and improvement with designed experiments; Factorial design experiments.
Page 1 of 4
MECH H3014: Quality
Systems
Module Content & Assessment
Indicative Content
1. Introduction to Project Management
Project constraints, Project characteristics, Project life cycle phases, Project management processes, Project time management,
Scheduling techniques, Mathematical Analysis.
2. Network Diagrams and Activity Sequencing
Activity sequencing (Activity on node) (Activity on arrow), Dummy activities, Critical path method, Element relationships, Leads and lags.
3. Resource Levelling, Project Crashing and PERT
Resource levelling, Project crashing, Programme evaluation and review technique (PERT), Central limit theorem, Project contingency.
4. Introduction to Statistical Process Control (SPC)
Quality definition, Six sigma, Quality costs, Stem and leaf plot, Cumulative frequency plot, Mean variance and standard deviation,
Population versus sample data, Box plot applications, Basic SPC tools, Sample size and frequency, Analysis pattern of control charts.
5. SPC Control Charts
Variable charts, Mean and range charts, Process capability ratios, Precision and accuracy, Control versus specification limits, Attribute
charts, Fraction nonconforming charts, Number nonconforming charts, Non conformities charts, Implementing control charts.
6. Acceptance Sampling
Approaches to acceptance sampling, Sampling plan classification, Lot stratifying, Acceptance sampling procedures, The operating
characteristic curve, Lot tolerance percent defective, Limiting quality level, Producers and consumers risk.
7. Process Design Improvement with Designed Experiments
Introduction to experimental design, Guidelines for designing experiments, Randomized single factor experiment, Residual analysis,
Factorial experiments with several factors, Analysis of variance (ANOVA) analysis, The F-distribution approximation.
8. The 2K Factorial Design
2 factorial design, Experiment hypothesis, Regression model and residual analysis, 2K>2 factorial design, Effects and sum of squares.
Indicative Assessment Breakdown
%
Course Work Assessment %
30.00%
Final Exam Assessment %
70.00%
Course Work Assessment %
Assessment
Type
Assessment Description
Outcome
addressed
% of
total
Assessment
Date
Open-book
Examination
8 assignments Evaluation: 1. Project network 2. Project planning,
scheduling , cost and probability, 3. Recording operations; Process
Charts; Activity Charts; Bill of Material; Assembly Drawings; Assembly
charts; Rout chart; Work Order; Product code and norm; Brainstorming;
Detailed engineering drawing 4. SPC tools. 5. SPC charts. 6. Acceptance
sampling plans, OC curve, LPTD, AQL. 7. Regression analysis. 8.
Analysis of variance (Anova)
1,2,3,4,5,6
12.00
Every Week
In-class test
Short written test
1,2,3
6.00
Week 8
In-class test
short written test
4,5,6
6.00
Week 11
Other
Mini Project Using MS Project (or Minitab).
1,2,3,4,5,6
6.00
Week 10
Final Exam Assessment %
Assessment Type
Assessment Description
Outcome
addressed
% of
total
Assessment Date
Formal Exam
End-of-Semester Final Examination
None
70.00
End-of-Semester
Page 2 of 4
Indicative 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.
Reassessment Description
Repeat examination is out of 100% . CA works are not considered for the repeat examination.
ITB reserves the right to alter the nature and timings of assessment
Page 3 of 4
MECH H3014: Quality
Systems
Indicative Module Workload & Resources
Indicative Workload: Full Time
Frequency
Indicative Average Weekly Learner Workload
Every Week
2.00
Every Week
2.00
Every Week
3.00
Resources
Recommended Book Resources
1. Douglas C. Montgomery 2005, Introduction to statistical quality control, John Wiley Hoboken, N.J. [ISBN: 0471661228]
2. Dale H. Besterfield 2004, Quality control, Pearson/Prentice Hall Upper Saddle River, N.J. [ISBN: 0131131273]
3. Joseph M. Juran, co-editor-in-chief, A. Blanton Godfrey, co-editor-in-chief; Robert E. Hoogstoel, associate editor, Edward G.
Schilling, associate editor 1999, Juran's quality handbook, McGraw Hill New York [ISBN: 0-07-034003X]
4. George C. Runger, Norma F. Hubele Douglas C. Montgomery, Engineering Statistics, John Wiley & Sons Ltd [ISBN:
9780470646076]
5. Applied Statistics and Probability for Engineers -Student Solution Manual 5TH EDITION, John Wiley & Sons, Inc,2010 [ISBN:
9780470505786]
6. Douglas C. Montgomery 2005, Design and analysis of experiments, John Wiley & Sons Hoboken, NJ [ISBN: 0471661597]
7. Harold Kerzner, Project management, New York ; John Wiley, c2001. [ISBN: 0471393428]
8. Donna C. S. Summers 2003, Quality, Prentice Hall Columbus, Ohio [ISBN: 0130419648]
9. Dale H. Besterfield 2004, Quality control, Pearson Prentice Hall Upper Saddle River, NJ [ISBN: 0-13-191135-X]
This module does not have any article/paper resources
This module does not have any other resources
Page 4 of 4