Template - Institute of Technology, Sligostaffweb.itsligo.ie/staff/bmulligan/BScQMT/syllabus.doc · Web viewand R variable control chart. Attribute control charts i.e. p, np, c and

INSTITIÚID TEICNEOLAIOCHTA, SLIGEACHINSTITUTE OF TECHNOLOGY, SLIGO

_____________________________________

School of Engineering

BACHELOR OF SCIENCE IN QUALITY MANAGEMENT & TECHNOLOGY

May 2002

Subject Title: COMPUTER APPLICATIONS Credits: 3

Course: BSc in Quality Mgmt & Technology Level: 3

Pre-requisite Subjects: None Hours: 48

LEARNING OUTCOMES:

Having successfully completed this subject, the student will:

1. operate Windows-based applications packages to write reports, graphs and present overheads.2. understand and use the Windows operating system.3. understand the internal organization of a computer.4. understand the operation, features and applications of the various Input, Output and Storage device

available.5. compare the various types of LAN and WAN technologies available.6. compare the operation, features and applications of the various operating systems.

SYLLABUS CONTENT:Hours

1. Computer Hardware 17Internal Organisation of a Computer: control unit, ALU, memory unit, registers. Fetch-execute cycle. Bus architectures. Serial/Parallel & USB interface.Input Devices: Keyboard, Mouse, OCR, MICR, bar code readers, Image recognition. Digital cameras. Identify their technology, features and applications.Output Devices: Compare the various types of printers, their operation, features and applications. Characteristics of Monitors and Flat panel displays.Storage Devices: Main memory vs. Backing storage. Storage media devices, operation, features and applications. Access Times. How data is stored/organised on tapes and disks. LAN and WAN communication: Comparison between Token ring and Ethernet LANs i.e. their operation, advantages and disadvantages. ATM networks, ISDN. Circuit switching. Packet switching. The Internet. How electronic mail works.

2. Computer Software 13Types of Software: Application software vs System software.System Software: Translators. Compilers, Interpreters. Operating Systems: Functions of operating systems. The various types of Operating Systems and their features. Multiprocessing, Multiprogramming, Real Time systems. Fault Tolerance computing. Virtual memory. Use of buffering and spooling techniques.System security: Computer Viruses. Trojan Horses. Firewalls.Psuedocode Programming: Introduction to the design of programs using pseudocode

3. End User Applications 15Excel: Entering and Editing data in worksheets, Equation structure, Use of functions, Graphs.Access: Fields, Records, Working with Tables, entering, editing and validating data, Sorting and Filtering, Queries. Creating and using Forms, Reports.Word: Writing reports and CVs, Cutting and Pasting, Use of Tables Inserting data from other applications. Formatting paragraphs, Spell checking, previewing work, page numbering etc.Powerpoint: Presentation basics, creating slides, adding graphics, slide master.Internet / email: Use of Internet Browser to search web, use of email.On-Line Help: Use of On-Line Help in each of the above applications.

Revisions, Assessments, Examinations, Site Visits, Guest lecturers 3

LEARNING MODES:

Lectures and Laboratory sessions

ASSESSMENT TECHNIQUES:

Continuous Assessment (In Class assignment work) 40%End of Semester Examination 60%

RECOMMENDED READING:

Essential TextParsons, June, New Perspectives on Computer Concepts, 2000, Course TechnologyMunnelly, Brendan & Holden, Paul, ECDL 3 The complete coursebook, 2001, Prentice Hall

Reference TextCapron, H., Computers: Tools for an Information Age, 6th Edition, 1999, Addison Wesley.O’Leary, Timothy & O’Leary, Linda, Computer Essentials: 2001-2002, 2001, McGraw-Hill

Subject Title: ENGINEERING INSTRUMENTATION AND CONTROL

Credits: 3



LEARNING OUTCOMES:


1. categorise transducers by input/output quantity and operating principle.2. match signal conditioning and processing circuits to transducer type.3. list the important characteristics of an instrumentation amplifier.4. describe the essential components of a microprocessor-based system.5. understand the architecture and principle of operation of intelligent instruments.6. compare open-loop and closed-loop control systems.7. reduce block diagrams and calculate transfer functions of control systems.8. describe mathematically and graphically the four basic control actions.9. calculate the control loop settings for a process control system.


1. Sensors/Transducers: Transducer characteristics, categorisation by input/output quantity, operating principles of most common types, need for temperature compensation.

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2. Signal Conditioning: Characteristics of signal conditioning circuits, matching to transducer types, bridges, instrumentation amplifiers.

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3. Intelligent Instrumentation: Intelligent vs dumb instruments, internal architecture of microprocessor system, block diagrams of intelligent instruments, instruction sequence.

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4. Control Systems: Open and closed-loop systems, feedback, control system elements, block diagram representation, transfer function calculations, block diagram reduction, analysis of system response to step input.

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5. Process Control: Process control terminology, control actions (on-off, P, PI, PD and PID), mathematical and graphical representation of control action, control loop tuning, calculation of control loop settings.

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6. Practicals: Transducer Characteristics, Signal Conditioning and Processing, Speed and Position Control, Process Control, Microprocessor Data Acquisition, Software DAQ Package (Labview).

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LEARNING MODES:

Lectures and laboratory work.


Continuous Assessment (mid semester written assessment) 20% Practicals 20% Final Examination 60%


Bolton, William, Industrial Control & Instrumentation, 2000, Addison-WesleyBolton, William, Instrumentation & Measurement Pocket Book, 2001, Newnes

Subject Title: INSPECTION PLANNING Credits: 3



LEARNING OUTCOMES:


1. distinguish between product standards, codes of practice and specifications.2. generate and interpret product specifications.3. understand the need for factual data.4. be able to undertake inspection planning.5. be capable of calibrating equipment.6. appreciate the role of instrument calibration systems in industry.


1. The SIPOC model, ISO9001:2000 and Consistency. 22. Quality characteristics: Types and definition. 23. Product/Service Standards, Codes and Specifications with emphasis on:

Specifications, Bills of Material, Drawings, Test Methods, Process flow charts, Parameter sheets. Procedures [BOP, WI, SPO]

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4. Process Dominance. 15. Documentation Control. 26. Inspection level and location. 17. Data types, recording, analysis and presentation. 0.58. Inspection Errors [Human] Shingo, Juran, Crosby. 29. Grading Inspectors. 110. Inspection Planning. 311. The Measurement Process. 112. Good Measurement Practice. 213. Equipment Characteristics: Accuracy, Precision, Resolution etc. 114. Equipment Selection: Statements of accuracy, TUR and Uncertainty. 115. Measurement techniques for various parameters. 116. Essentials of Calibration: Importance, Definition, Standards, Certificates. 217. Calibration techniques and frequency. 218. Dealing with nonconforming instruments. 0.5


Laboratory Work:1. Develop a product specification.2. Measurement Efficiency [Time and Precision].3. Inspection, analysis and presentation.4. SPC and its impact on instrument selection.5. Data logger. [Application and procedure writing]6. Instrument Calibration [Micrometer]7. Instrument Calibration [Scales] + write the procedure.8. Process flowcharting and inspection planning.

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LEARNING MODES:

Two hours lectures per week. 30 hours.Laboratory Work. 15 hours


Continuous Assessment 10%Practicals 20%Final Examination 70%


Essential Text:Kennedy, Bob Inspection Planning Booklets 1 & 2 IT, Sligo 2001.Kennedy, Bob Practical Calibration. IT, Sligo 2001.De Silva, G.M.S. Basic Metrology for ISO9000 Certification. Butterworth-Heinemann. 2002.

Recommended:Bolton, W. Instrumentation and Measurement Pocket Book .1996 Newnes. Numerous texts in 620.0044 section of the library.

Subject Title: INTERPERSONAL SKILLS Credits: 3



LEARNING OUTCOMES:


1. understand individual and corporate motivation.2. participate in the negotiation process, understanding the nature of conflict and its resolution

(compromise and assertion).3. appreciate the various styles of management, especially those that are conducive to change in the

work place.4. appreciate the various styles of management.5. understand organisational change and development.


1. Motivation- scientific, Humanist and Cognitive theories. 42. Nature of conflict, conflict management, disclosure and feedback (Johari Window),

negotiation techniques.4

3. Behaviour modes- assertion, passivity and aggression. 24. Management systems- Scientific Management, Internal Processes, Human

Relations and Open Systems.3

5. Organisational development and change management. 26. Presentation- using available technology. 15


LEARNING MODES:

Lectures, group discussion and oral presentation.


Continuous assessment, (Three written assessments and an oral presentation) 100%


Boddy and Paton, Management an Introduction, 1999, Prentice HallMcKenna Eugene, Business Psychology and Organisational Behaviour, 2000 Psychology Press.Morley, Moore, Heraty, Gunnigle, Principles of Organisational Behaviour, 1998, Gill & Macmillan.Drafke M., The Human Side of Organisations, 8th Edition, 2001, Prentice Hall.

Subject Title: OPERATIONS MANAGEMENT Credits: 6



LEARNING OUTCOMES:

Having successfully completed this subject, the student will be able to:

1. understand the principles of operation management as it applies to a variety of businesses and organisations.

2. identify the steps involved in process design and appreciate the different types of process layout3. comprehend the importance of process technology and job design4. use different planning and control techniques5. understand the concept of the supply chain and operation networks6. demonstrate an understanding of MRPII and JIT7. utilise the concepts of project management


1. Introduction to Operation Management – its roles and objectives 11Operations within an organisation, The process transformation model. Types of operations- volume and variety. The activities and role of operations management. Operations performance objectives

2. Design in Operations ManagementThe volume-variety effect on operations design. The network perspective. Long-term capacity management. The layout procedure. The basic layout types. Detailed design of the layout.

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3. Process Technology and Job Design 11Materials-processing technology, information-processing technology, customer-processing technology. Integrating technologies. The design of jobs. Division of labour. Ergonomics. Empowerment. Team working and job design. Flexible working

4. Planning and Control – Capacity, Inventory and Supply Chain 20The nature of planning and control. Planning and control activities. Capacity planning and control. Alternative capacity plans. Inventory planning and control. The volume decision. The timing decision. Supply chain planning and control. Supply chain management.

5. MRP and JIT 12What is MRP. MRP calculations. The philosophy of JIT. JIT techniques.

6. Project Planning and Control 7Successful project management. The project planning and control process. Network planning.


LEARNING MODES:

The course will be taught in lecture mode with case studies, worked Examples and industrial visits where appropriate. Tutorials will be used to consolidate analytical areas of the subject.


Project work based on an industrial visit 20%End of Semester Examination 80%


Essential TextSlack N., Chambers S., Johnston, R. Operations Management, 3rd Edition 2001, Prentice Hall

Subject Title: QUALITY MANAGEMENT SYSTEMS Credits: 6



LEARNING OUTCOMES:


1. describe the role of management in the establishment of a systematic approach to planning, control and improvement of quality, and environmental performance..

2. explain the role of quality of design, and the approaches used to achieve this.3. explain the role of supplier quality and the approaches used to achieve this.4. explain the role of operational quality and the approaches used to achieve this.5. explain the role of post production activities on quality.6. develop a quality manual and procedures in compliance with ISO9000; describe barriers to change,

the ISO9000 and ISO14001 registration process and the role of internal quality audits.


1. Quality Principles and the Role of Management:Quality glossary, definitions of quality, history of quality. Quality, return on investment and competitiveness. Quality and environmental planning, control and improvement. Internal customer chain and TQM (BS7850). Cost centre reports. Assessment of quality costs, standing in the market place, company culture on quality, and current quality activities. Manufacturing and service delivery processes, determinants of process capability, principles of control, open loop and closed loop control diagrams, stability, feed-forward and feedback control methods, self-control, Deming cycle. Quality and environmental performance measurements. Regulatory agencies.

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2. Quality in marketing and Design:Design related quality problems, manufacturability, concurrent engineering, ISO9004, BS7000, elements of quality of design, inputs and outputs of the design process. Design department’s role in product and process specification, in change control, in control of non-conforming material and in documentation control. Principles of specification writing, and inter-relationships of specifications. Design reviews, design qualifications, validation and verification. Market readiness reviews. Configuration management.

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3. Quality and Supplier Relations:Approved supplier list. Qualification procedures, purchased material inspection, ship to stock. Supplier policy, single and multiple sourcing. Supplier performance monitoring, supplier rating, supplier assessment. Joint economic, technological and managerial planning. Supplier partnership – innovation, price reduction and never-ending quality improvement.

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7. Quality and Operational Control:Quality plans, inspection plans, flow process charts, management reviews, dominance, error proofing, defining quality responsibilities, self-control and self- inspection, requirements conflicting with quality, documenting processes and controls, controlling specification changes, and provision for improvement. Role and training of operators, inspectors and supervisors. Product and process control, inspection routines, conformance and fitness-for-use decisions, disposition of nonconforming product, corrective action and product and process audits.

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8. Quality and Post Production Activities: 3

Packaging, transport, storage, maintenance and service. Product audits. Customer feedback, complaints handling systems and corrective action.

9. Quality Systems and the Introduction of Change:ISO9001 and what is needed to meet each requirement. Structures for compliant quality manuals and procedures. System development issues – workload, responsibilities, project management, introducing change, and overcoming cultural resistance. Q-Mark and ISO9000 registration procedures and audits. Conducting internal audits.

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LEARNING MODES:

Lectures, library assignments, industrial visits and Project.


Mid Semester Assessment: 10%Written Assignments: 10%Project: 20%End of Semester Examination: 60%


Essential TextJuran, J.M. & Gryna, F.M. Quality Planning and Analysis, 2000, McGraw Hill

Reference TextCaplen, R. A Practical Approach to Quality Control, 1988, Business BooksHall, T. The Quality Manual, 1992Hutchins, D. Just in Time, 1998, GowerJuran, J. Quality Control Handbook, 1998, McGraw-HillMcRobb, B. Writing Quality Manuals, 1989BS7000-1 Guide to managing product design, 1989, BSIMurphy, J. Quality in Practice, 1986, Gill & MacMillanMurphy, J. Service Quality in Practice, 1993, Gill & MacMillanNSAI IS/EN/ISO 9000 Series StandardsRothery, B. ISO9000, 1993

Subject Title: QUALITY TOOLS AND TECHNIQUES Credits: 3



LEARNING OUTCOMES:


1. use and apply the basic problem solving techniques of quality to analyse data.2. apply qualitative tools for problems solving, prioritising problems and improving processes. 3. develop, plot and analyse both variable and attribute Shewhart control charts.4. conduct process capability analysis and develop the capability indices.5. apply the principles of acceptance sampling.6. develop a Single sampling plan using statistical tables and compute its OC curve.


1. Quantitative Tools – Incl. The Seven Tools of Quality: 13Histograms: How to prepare and use a Histogram. Mean, Mode, Median. Meaning of variation.Cause and Effect Diagrams : Making CE diagrams. How to use CE diagrams.Check Sheets : Function of check sheets. Types and uses of check sheets.Graphs : Types of graphs. How to make and use graphs.Pareto Analysis : How to make and use a Pareto diagram. Inclusion of cost on y-axis.Scatter Diagrams :How to make and use a scatter diagram. The meaning of correlation.Boxplots : How to make and use boxplots. Comparing batches of data using boxplots.Stem-and-Leaf Displays :How to make and use stem-and-leaf displays to see patterns in data.

2. Qualitative Tools: 15Brainstorming and Nominal Group Technique.Affinity diagram – gathering and grouping ideasInterrelationship Diagrams – looking for drivers and outcomesRadar Chart – rating organisation performanceForce Field Analysis – positives and negatives of changeTree Diagram – Mapping the tasks for implementationPrioritisation matrices – weighing options

3. Control charts: 15 and R variable control chart. Attribute control charts i.e. p, np, c and u charts. Rules for

identifying whether the process has gone out of control.4. Process Capability: 7

Meaning of and . How to calculate capability indices using both the X and R method and also probability plots.

5. Acceptance Sampling: 10Principles of Acceptance sampling. Single sampling plans and their associated OC curves. Use of statistical tables to develop both the sampling plan and the OC curve.


LEARNING MODES:

Lectures, tutorials and practical sessions using the techniques.


Continuous Assessment (Assignment and mid semester written assessment) 30%End of semester Examination 70%


Essential TextAmsden, Robert T., Butler, Howard E., Amsden, Davida M., SPC Simplified: Practical Steps to Quality, 1998, Productivity Inc.

Reference TextAft, Lawrence S., Quality Improvement Using Statistical Process Control, 1988, International Thomson PublishingAlwan, Layth C., Statistical Process Analysis, 1999, McGraw-HillBrassard, M., The Memory Jogger – A pocket guide of tools for continuous improvement and effective planning, 1994, Goal/QPC.Doty, Leonard A., Statistical Process Control, 1996, Industrial PressWheeler, Donald & Chambers, David, Understanding Statistical Process Control, 1992, SPC PressWise, Stephen & Fair, Douglas, Innovative Control Charting : Practical SPC Solutions for Today’s Manufacturing Environment, 1997, ASQ,

Subject Title: STATISTICS Credits: 3



LEARNING OUTCOMES:


1. Summarise, describe data and identify the position of a data value in a dataset. 2. Determine the probability of an event using probability rules.3. Calculate the probability for outcomes using discrete and continuous distributions.4. Calculate confidence intervals for population mean, proportion and variance.5. Perform hypothesis testing using parametric and nonparametric tests.6. Make decisions and draw conclusions on the basis of statistical analysis.


1. Descriptive Statistics: Measures of Central Tendency and Measures of Dispersion, Sampling. Use of corresponding statistical functions in Excel/statistical software.

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2. Laws of Probability: Addition Rule, Multiplication Rule, Conditional Probability, Bayes’s Theorem

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3. Discrete Probability Distributions: Binomial, Poisson, Geometric and Hypergeometric distributions. Use of statistical software to calculate probability distributions.

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4. Continuous Probability Distributions: Uniform, Normal and Exponential distributions. Normal distribution as approximation to Binomial. Central Limit Theorem. Use of statistical software to calculate probability distributions.

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5. Estimation: Point estimation and confidence intervals. Confidence intervals for population mean. T Distribution. Confidence Intervals for a population proportion. Determining sample size. Confidence Intervals for a population variance. Distribution. Use of statistical software to develop confidence intervals.

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6. Hypothesis Testing: Fundamentals, Testing a claim about a mean, proportion, standard deviation or variance. P-values. Use statistical software to perform hypothesis testing.

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7. Inference from Two Samples: Inference about two means, independent samples and matched pairs. Inference about two proportions. Comparing variation in two samples. F Distribution. Use of statistical software to perform corresponding test.

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8. Chi Squared Tests: Goodness of Fit Testing, Contingency Tables 69. Nonparametric Statistics: Sign test, Wilcoxon test. 3


LEARNING MODES:

Lectures. Tutorials. Use of statistical software e.g. Minitab, Excel.


Continuous Assessment (mid semester written assessment) 20%

Final Examination 80%


Essential TextBluman, Elementary Statistics – A Step by Step Approach, 2001, McGraw Hill, ISBN: 0072408448 Murdoch, J., Barnes, J.A., Statistical Tables 4th Edition, 1998, Palgrave, ISBN: 0333558596

Reference TextMontgomery, Runger, Hubele. Engineering Statistics, 2001, John Wiley & Sons, ISBN: 0471388793 Devore, Farnum, Applied Statistics for Engineers and Scientists, 1999, Duxbury, ISBN: 053435601XRoss, Introduction to probability and statistics for Engineers and Scientists, Academic Press, ISBN: 0125984723

Subject Title: INDUSTRIAL ASSIGNMENT Credits: 21


Pre-requisite Subjects: Year 3 Semester 1 Hours: 960

LEARNING OUTCOMES:


1. describe the company’s products/markets, production processes and/or service delivery processes2. describe the company’s macro and micro-operations3. explain how the company plans, designs and delivers a product/service of the required quality4. apply quality tools and techniques to practical situations and so contribute to the achievement of

Company objectives5. rationalise the relationship between Semester 1 subjects and an industrial environment6. clarify the importance of good communication, people skills and team working within industry7. set realistic but challenging personal work objectives that are achievable within the timeframe

SYLLABUS CONTENT:

1. IntroductionThis may be the student’s first time to work in industry. The student is expected to gain a good overview of the company structure, products and different departments and their functions.2. Routine WorkThe student will undertake a number of routine duties. This should give the student a clear understanding of the role of quality within the company.

3. Project WorkThe student will undertake project work which should contribute to the achievement of company objectives. This project work should promote the application of quality techniques.

LEARNING MODES:Through the practicalities of working in industry the student will gain first hand experience of quality practices, and the practical difficulties facing the quality professional. This industrial experience underpins the theoretical part of the entire course. It provides the student the opportunity to practise theory already covered, whilst also enhancing their ability and readiness for the study of the final year material.


Continuous Assessment:

This is based on meeting the needs of the Institute – regular interim reports outlining the work being undertaken- and meeting the needs of the company – punctuality, communication, cooperation, motivation, attitude, quality and quantity of work.

Interim reports submitted to industrial tutor – 10%

Report submitted by industrial supervisor – 20% 30%During the industrial placement the student will be visited twice by a lecturer from the Institute to ensure that both the Institute and the company requirements are being met.

Written Report:

The student will submit a final report which will cover the following areas:1. Company objectives, markets, products, processes and organisation - 10%2. Quality planning, design and delivery 10%3. People Issues 10%4. Work done including achievement of personal work objectives 10%5. Two sections related to specific quality topics 20%6. Presentation 10% 70%

Subject Title: INDUSTRIAL PROJECT Credits: 9


Pre-requisite Subjects: Semester 3.1 Hours: 240

LEARNING OUTCOMES:


1. conduct quality projects in industry in a professional manner.2. set and agree realistic project objectives.3. plan work in stages and keep intermediate and overall target dates.4. work effectively as part of a team.5. present project results effectively, both verbally and in writing.

SYLLABUS CONTENT:

Each student will carry out one or more practical industrial projects, on a quality related matter in the company where she/he is placed. The student will agree the objectives of each project with the industrial supervisor and college tutor at the start of the project. The project(s) carried out by each student will require a minimum of 240 hours to complete in total. Most of the projects will involve considerable support from supervisors, engineers and managers as well as inspectors and operators. This is important in developing the student’s ability to work effectively as one of a team, as this is a major objective of the whole course. Nonetheless the student him/herself must make a major contribution to the success of the project.

Supervisors will guide students in the skills and techniques required for definition of the project, work planning, the investigation itself and written communications. However the planning, logistics, and execution of the programme of work will be undertaken by the student personally. On completion of each project the student will submit a written project report to the company. This report will be geared towards the needs of the company. The format for the report is specified by the College, but may be varied by agreement in advance. Typical projects include:

1. Scrap analysis and reduction.2. Specification development.3. Statistical investigations.4. Test method development.5. Quality manual development.6. Establishment of service quality measurements.

LEARNING MODES:

Industrial Placement


Assessment will normally be based solely on the final report as follows, though the tutor may verify details by

telephone communication, or visits to the company.

Executive Summary: 10%Background & Objectives: 20%Method: 10%Results: 20%Conclusions & Recommendations 20%Presentation 20%

Subject Title: COST & MANAGEMENT ACCOUNTING Credits: 4



LEARNING OUTCOMES:


1. explain the elements of cost, ie materials, labour and overhead, and know how to record, measure, control and evaluate these costs.

2. describe and apply fundamental costing methods.3. explain the marginal and absorption costing approaches, and their role in management decision making.4. explain the important roles of budgetary control and standard costing as part of the management planning

and control process, and describe their establishment and operation.5. participate in corporate financial decision-making.6. describe cost control programmes and prepare quality cost reports.7. understand and interpret key financial statements.


1. Concepts of Cost Accounting:Material control and JIT. Labour remuneration methods and profit sharing schemes. Treatment of overhead costs and activity-based costing. Ethics and the management accountant.

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2. Job and Batch Costing 32. Absorption and Marginal Costing :

Absorption costing. Marginal costing, the “contribution ”concept and business decision making.

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4. Nature and Objectives of Budgets:Preparation of budgets. Cash budgeting. Use of computers in budget preparation.

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5. Standard Costing:Calculation of standard costing variances. Causes, significance and presentation of variances.

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6. Short-Term Decision-Making:Cost – volume – profit analysis and profit graphs.

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7. Capital Expenditure:Appraisal of capital investment projects. Discounted cash flow techniques.

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8. Cost Control Programmes:Costs of poor quality. Quality cost reports. Performance measurement in a TQM environment.

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9. Nature and Significance of Key Financial Statements:Ratios and the interpretation of accounts.

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10. Tutorials:Practical application of above areas.

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LEARNING MODES:

Lectures and Tutorials.


Continuous Assessment (mid semester written assessment) 10%Terminal Examination: 90%


Essential Text:Lucey, T, Costing, 5th ed, 1996, DP Publications

Reference Texts:Dyson, J R, Accounting for Non-Accounting Students,5th ed., 2001, Pitman PublishingUpchurch A., Management Accounting, 1998, Pitman PublishingCrowther, D, Management Accounting for Business, 1996, Stanley ThornesClarke, P.J. Financial Accounting – An Irish Text, 1990, Gill & MacMillan Drury, C. Costing, 1994, Thompson Business Press Ethical Guidelines, 1992, Chartered Institute of Management Accountants

Subject Title: FINAL YEAR PROJECT Credits: 12


Pre-requisite Subjects: Year 3 Hours: 200

LEARNING OUTCOMES:


1. demonstrate an ability in project identification, specification 2. undertake research for an academic project.3. relate secondary research findings to an industrial environment.4. analyse in a logical and independent manner the primary and secondary research.5. identify the relevance and implications of the investigation especially in an industrial context.6. communicate the research findings and recommendations in the form of a written document


1. Project Selection The project will be in a quality related area. Project selection will involve academic/industrial liaison to confirm appropriate depth and scope and adequate limitations.

2. Secondary Research 120The first section of the project is heavily dependent on library resources. The students should compile a body of knowledge on their selected area.

3. Primary Research 80The second section of the project provides an opportunity for the students to analyse and evaluate their secondary research findings in an industrial environment.

4. Project Supervision The students will be allocated a supervisor and half-hour weekly consultation allows for guidance on the project throughout the year.


Project Marks are allocated as follows:

Secondary Research 30%Primary Research 20%Conclusions and Recommendations 10%Presentation 10%Interview 20%Supervisor’s Assessment 10%

Subject Title: HUMAN RESOURCE MANAGEMENT Credits: 4



LEARNING OUTCOMES:


1. understand the role of Human Resource management in Organisational Design and Structure2. provide a framework in which to use the student’s human relations and personal development skills.3. appreciate the need for Organisational Change and how to plan and execute it.4. recruit, Interview and Select Employees.5. understand the need for Training, Appraisal Feedback and Goal Setting.6. communicate as Leader, Manager in a Unionised or Non-Unionised Environment.7. plan for Human Resource needs, Staff Turnover, Succession and Career Planning.


1. Historical Roots of Organisational Behaviour and Human Resource Management Scientific Management, Personnel Management, Human Resource Management

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2. Human Resource Strategy, Strategic Management and Environmental Pressures, Stages of Business Development, Analysing the Environment, Organisation Structure, Organisation Change.

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3. Recruitment, Interview Strategy, Selection Process 54. The Role of Training and its Evaluation, Management Development 55. Performance Appraisal, Performance Related Pay, Performance Appraisal and Quality

Management, Succession Planning, Career Planning.14

6. Human Resource Planning, Staff Turnover, Organisational Culture, Types of Organisation. 87. Learning, Attitudes, Communications in the Organisation, Motivation, Power and Conflict,

Group Leadership versus Management, Managing in a Unionised and Non-Unionised Environment.

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LEARNING MODES:

Lectures, Role Playing, Oral Presentations including presentation of Industrial placement work.


Continuous Assessment (mid semester assessment and assignment) 40%End of Year Examination 60%


Griffin, R.W., Management, 6th Edition, 1998, Houghton MifflinCummings, T.G. & Worley, C., Organization Development and Change, 7th Edition, 2000, South-Western Pub.Torrington, D. & Hall, L., Human Resource Management, 1998, Prentice HallGordon, J.R., Organisational Behaviour: A Diagnostic Approach, 1999, Prentice Hall

Subject Title: LAW Credits: 3



LEARNING OUTCOMES:


1. explain the role of law in society.2. explain how the law is administered through the courts.3. describe how rights and obligations stem from the Constitution and the natural law, and how they are

enforceable under the law of contract and torts.


1. The nature of law and its sources 52. The Administration of Justice:

The structure and jurisdiction of the courts and the personnel of the law.3

3. The European Union:Its institutions and the primary and secondary sources of European Law.

2

4. The Law of Contract including contractual construction and interpretation. 45. Civil Liability:

Define a tort; differentiate between legal injury and damage; consider the remedies; the torts of negligence and defamation; the legal duty of care

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6. Product Liability:The concept of consumer safety, and the role played by the European Union through the Product Liability Directive. Strict liability and reasonable care contrasted.

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7. Safety at Work:The contract of employment and the Protective Legislation – accident compensation and prevention, and the role played by safety legislation, e g The Factories Act 1955, The Safety in Industry Act 1980, and the Safety, Health and Welfare at Work 1989.

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LEARNING MODES:

Lectures


End of Semester Examination: 100%


Essential TextKeenan, Aine, Essentials of Irish Business Law, 2001, Gill & MacMillan.Doolan, Brian, Principles of Irish Law, 1999, Gill & MacMillan,

Reference TextByrne, R., McCutcheon, P., The Irish Legal System, 2001, Butterworths.McMahon, B., Binchy, W., Irish Law of Torts, 2000, Butterworths.Quill, E., Torts in Ireland, 1999, Gill & Macmillan.Shaw, J., European Community Law, 1993, Mac Millan Professional MastersEEC Directive on Product Liability, 1985.The Irish Reports (1894 to date) – Professional Books.The Irish Law Reports (Monthly) – The Round Hall Press (Monthly).The Irish Law Times – The Round Hall Press (Monthly).

Subject Title: SOFTWARE DEVELOPMENT AND QUALITY Credits: 3



LEARNING OUTCOMES:


1. describe the Software development process and compare development models.2. describe the role that specification plays in the Software life cycle.3. apply structured methods to specify the function of Software systems.4. apply structured methods to the design of Software systems.5. describe the process of designing quality Software.6. describe and apply the techniques of Software testing.7. compare and apply the various Software testing strategies8. conduct design reviews, code inspections and walkthroughs.9. describe how Software quality is achieved.10. apply Software quality metrics to measure and improve the Software development process.11. apply configuration management principles for controlling Software changes.


1. Software development Process: Role of Software. Phases of Software development. Software myths. The Software Life Cycle. Development models - waterfall model, prototype model, spiral model, incremental development. Challenges of modern Software.

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2. Software Specification: The process of requirements formulation. Feasibility study. Software requirements specification. Design Specification. Specification review. Software prototyping. System modelling - System contexts, viewpoint analysis. Data flow diagrams, control flow diagrams.

5

3. Software Design: Design fundamentals - stepwise refinement modularity, software architecture. Top-down design. Object Oriented design. System design. Software design quality - Cohesion, Coupling, Understandability, adaptability.

5

4. Software testing techniques: Testing fundamentals, white box testing. Basis path testing. Control structure testing. Types of black box testing. Real time system testing. Test planning and reporting.

8

5. Software testing Strategies: Verification vs. Validation. Unit testing. Types of integration testing. Validation testing. Types of system testing. Regression testing. The art of debugging.

6

6. Software Quality Assurance (SQA): Quality system and role of SQA. Audits. Formal design reviews, Internal design reviews, code inspections and walkthroughs. Design Documentation. Data gathering and analysis. Estimating Software quality and use of metrics. Classification of defects. Software quality and productivity metrics. Use and derivation of metrics. Establishing a program of Software quality improvement: Defect prevention. Software quality standards (e.g. Mil-Std. 2167, IEEE Std. 730-1998 etc.) and guidelines. TickIT certification. Capability Maturity Model (CMM).

11

7. Configuration Management: Configuration management functions and process. Baselines. Version control and release management. System building. Change control. Configuration Audit. Configuration management tools. Configuration management standards.

4


LEARNING MODES:

Lectures. Assignments


Continuous Assessment (Two written assignments) 20%End of semester Examination 80%.


Sanders, Joc & Curran, Eugene, Software Quality: A Framework for Success in Software Development and Support, 1994, Addison WesleySomerville, Ian, Software Engineering, 2000, Addison WesleyPressman, Roger, Software Engineering: A Practitioner’s Approach, 2000, McGraw-Hill.Van Vliet, Hans, Software Engineering: Practice and Principles, 2000, John Wiley & SonsHumphrey, Watts S., A Discipline for Software Engineering, 1995, Addison Wesley

Subject Title: STATISTICAL QUALITY CONTROL Credits: 6


Pre-requisite Subjects: StatisticsQuality Tools and Techniques

Hours: 96

LEARNING OUTCOMES:


1. construct and use a Cusum chart. 2. construct OC curves for control charts and, use these to assist in determining the optimal control charting

scheme on a technical and economic basis.3. conduct process and gauge capability studies.4. develop single, double and multiple sampling plans and compare their resulting OC curves.5. conduct acceptance sampling by attribute and by variable data using ANSI/ASQC Z1.4 and ANSI/ASQC

Z1.9 respectively..6. understand and apply skip-lot, continuous and chain sampling procedures.7. use a statistical package for control charting and process capability purposes.8. demonstrate and use SQC techniques within a continuous improvement environment.


1. Control Charts: Review of Shewhart variable and attribute charts. Detailed interpretation of control chart patterns including calculation of their occurrence probabilities. and s charts. median charts. Individual x and Moving Range.

13

2. Other SPC techniques: Pre-control. Narrow Limit gauging. Group charts. multivari charts. SPC for low defect environments. Transformation of data to normal.

11

3. Cusum Charts: Principles of Cusum chart. Development of Cusum score. Use of tabular method. Fast Initial Response.

8

3. Short Run SPC for both variable and attribute data 64. Misc.: Develop and compare the Operating Characteristic curves for the various variable and

attribute control charts. Calculation of Average Run Length. Determining the optimum process control scheme. How to implement an SPC program and how to avoid the pitfalls.

11

5. Process Capability Analysis: Review of capability indices. Machine capability analysis. Process performance Analysis. The Taguchi Capability Index - . Process capability analysis by attribute. Confidence interval on and . Gauge capability studies. The components of measurement error - repeatability and reproducibility. Precision-to-Tolerance ratio. Use of control charts in determining gauge capability. Tolerance limits for interacting dimensions.

13

6. Acceptance Sampling: Lot formation considerations. Single, double and multiple sampling plans. Development and calculation of Operating characteristic curves for the various plans. Calculation of Average Sample Numbers (ASN).

13

7. Sampling Standards: Detailed focus on ANSI/ASQC Z1.4 (Acceptance Sampling by Attributes). Dodge Romig sampling Plans. Calculation of Average Fraction Inspected (AFI). Acceptance sampling by Variables - detailed focus on ANSI/ASQC Z1.9. Skip Lot sampling. Continuous Sampling plans. Chain Sampling.

13

8. Sampling methods: random, stratified, optimal, quota, cluster, systematic and multi-stage. 2


LEARNING MODES:

Lectures. Use of a computer-based statistical package - MINITAB.


Continuous assessment ( Two mid semester assessments) 20%. End of semester Examination 80%.


Essential TextMontgomery, Douglas, Introduction to Statistical Quality Control, 2001, John Wiley & Sons,

Reference TextGrant E. and Leavenworth R., Statistical Quality Control, 1996, McGraw-HillLedolter, J. and Burrill, C., Daisy, Statistical Quality Control : Strategies and Tools for Continual Improvement, 1999, McGraw-Hill

Subject Title: TOTAL QUALITY MANAGEMENT Credits: 5


Pre-requisite Subjects: Quality Management Systems Hours: 48

LEARNING OUTCOMES:


1. apply TQM concepts and techniques, and the approaches recommended by various quality gurus.2. describe how a company should go about determining, refining and implementing its quality policy.3. explain customer focus, why an organisation should be market driven, and associated techniques.4. explain techniques for gaining, holding and utilising employee focus on quality5. manage a quality improvement programme, and use a range of tools and techniques to diagnose chronic

and sporadic problems.6. explain various quality models and awards.


1. TQM Concepts and Gurus: 6European - European traditions of quality, trends since WWII, development of BS5750 and

national quality system certification, national quality associations, national quality awards and marks, European Organisation for Quality, European Foundation for Quality Management, The European Quality Award, The European Quality Platform

American - Shewhart, Feigenbaum, Deming, Juran, CrosbyJapanese - Ishikawa, Taguchi, Akao, Imai and others

2. Quality Policy:Strategic Quality Management. Management by Policy. Hoshin Planning. Quality Councils. Benchmarking. Business Reengineering, Performance measurement – Balanced scorecards.

6

3. Customer Focus: Identification of Customers. Consumer Movement. Consumer Attitudes. PIMS. Market Research techniques. QFD.

7

4. Quality Focus: Operator Controllable Defects. Quality Circles. Self-Managing Teams. Training. Quality Measurement, Indices and Reports.

6

5. Quality Improvement and Problem Solving:Chronic and Sporadic Problems. Management Breakthrough. Organisation for Improvement. General quality improvement techniques. Techniques using past data, current data, experimental techniques. Kepner-Tregoe techniques.

10

6. Quality Models:Deming Prize. Baldrige Award. Business Excellence model. Preparation and assessment against each model. Self-assessment. Six sigma programs.

10


LEARNING MODES:

Lectures and Student Presentations.


Essays and class presentations 20%Terminal Examination 80%

RECOMMENDED READING:Essential TextShiba, S. Graham, A. Walden, A., A New American TQM: Four Practical Revolutions in Management, 1993, Productivity Press.

Reference Journals – All available in InstituteTotal Quality Management Journal of Quality ManagementJournal for Quality & Participation Quality Progress International Journal of Quality and Reliability ManagementThe TQM MagazineBusiness Process Management JournalInternational Journal of Health care Quality AssuranceMeasuring Business ExcellenceManaging Service Quality

Subject Title: AUDITING & STANDARDS Credits: 5


Pre-requisite Subjects: Quality Management Systems Hours: 80

LEARNING OUTCOMES:


1. explain the role and development process for standards at corporate, national, European & international level.

2. explain the role of the National Accreditation Board, and the EN 45000 series of standards to which such bodies should operate.

3. conduct a quality audit under the guidance of a lead assessor including planning, preparation of check-lists, conduct of audit, preparation of reports and follow-up.

4. describe auditor training and registration requirements, as well as audit practices and standards including ISO 10011.

5. explain national and EU legislation for safety of products, the CE mark and EU directives.6. explain the role of regulatory agencies, and their interaction with manufacturing and service industries in

various sectors.7. use the ISO 9000/10000/EN45000 family of standards for planning and auditing quality systems for

hardware, software, processed materials and services, and for related quality management activities.8. describe the importance of health, safety and environmental issues to society, and the use by industrial

enterprises of auditing and standards for their management.


1. Standards Development: 11Specifications, Standards, Codes of practice and their classification (ICS). Internal Company Standards. The role and organisation of national, European and international standardisation and certification bodies. Consultative processes including the role of National Consultative Committees. Product Certification Quality System Certification. Technical trade barriers. The open market.

2. Laboratory Accreditation: 9Origins and benefits, NAB, NAMAS. The EN 45000 series of standards and their replacement by ISO standards. General criteria for technical competence of testing laboratories, for assessment of testing laboratories, for various types of certification bodies, and for declarations of conformity.

3. Audits: 9Purpose, benefits, depth and scope of audits. Product, process, procedural department and corporate audits. Systems and compliance audits. Audit organisation. Auditor, auditee and client relations. Audit checklist preparation. Conduct of audit, entry meeting and exit meeting. Sampling techniques. The audit trail. Demerit rating systems. Auditing tools. Information gathering techniques. Auditee tactics.

4. Audit Standards: 7ISO 10011 standard for quality system auditing, auditor qualification criteria, and management of audit programmes. Auditor training qualification and registration. Auditor characteristics and conduct. IQA and EOQ schemes.

5. EU Regulations: 9EU regulatory environment. Legislation for safety of products. Statutory instruments. EU directives, resolutions and decisions. “New Approach “ directives. Mandated standards development. CE Mark. EU regulations on Technical Harmonisation and Mutual Recognition of Proofs of Conformity - the ‘Global Approach’. ‘Harmonised’ standards. Fortress Europe

6. Regulatory Agencies and sectors 10E.G., Medical Devices: DOH, FDA etc. Impact of regulatory affairs on company behaviour. Origins in health and safety problems, hygiene control, good manufacturing practice (GMP), and quality systems. EN46000 and the Medical Device Directive. Determination of regulatory requirements. Applying for registration and handling registration audits. E.G., Construction Products: Building regulations, Agrément certification.

7. ISO 9000 Family: 4ISO 9000/10000/EN 45000 standards. Role of ISO TC 176. Sector specific standards. ISO 9000’s role in reducing multiple audits. Latest revisions and drafts of core standards. Use of other standards in the series.

8. Health Safety & Environment: 16Sustainable development. Local, national and global conservation issues and legislation. EIA, EIS. Occupational health and safety issues and legislation. Corporate policy statements. Compilation of Register of Impacts and Register of Regulations. Community relations. Types and purposes of audits. Standards - OHSAS18001, ISO 14000 and the EU EMAS scheme. Regulatory bodies and licence applications. Public participation and freedom of information. Green labelling. Integrated Management Systems.


LEARNING MODES:

Lectures, student presentations and audit exercises.


Continuous Assessment (Eight written assessments) 40%End of Semester Examinations 60%


ANSI, Standards Management - Handbook for Profit, 1992, ANSI Arter, D., Quality Audits for improved performance, 1994Dale, B. Oakland, J., Quality Improvement Through Standards, 1994, S Thornes Fox, M., Manual for Quality Auditing, 1995, S Thornes Mills, C., The Quality Audit, 1989, McGraw HillMills, C., Quality Auditing: A Tool for Excellence, 1993, Chap & HallNAB BrochuresNRC, Standards, Conformity Assessment and Trade, 1995, National Academy Press US NSAI IS/EN/ISO 9000, 10000, 17025, 45000, 46000 Series StandardsNSAI Standards Bulletins, Catalogues, Factsheets and ReportsParsowith, B.S., Fundamentals of Quality Auditing, 1995, ASQRobinson, C., How to Plan an Audit, 1987, ASQ Rothery, B. ISO 14000 and ISO 9000, 1995, GowerRussell, J.P., Quality Management Benchmark Assessment, 1995, AACC PressSayle, A.J., Management Audits: The Assessment of Quality Management Systems, 1997, ASQSullivan, C., Standards and Standardisation, 1983, Marcel Dekker Vorley, G., Quality Assurance Management, 1993Wilborn, W., Quality Management System: A Planning and Auditing Guide, 1990, Indust P Wilborn, W., Audit Standards - a comparative analysisWebsites: www.nsai.ie www.cenorm.be www.fda.gov

http://www.fda.gov/

http://www.cenorm.be/

http://www.nsai.ie/

Subject Title: CASE STUDIES IN QUALITY MANAGEMENT

Credits: 3

Course: YEAR 4/BSc in Quality Mgmt & Tech Level: 4

Pre-requisite Subjects: Year 3 & Year 4 Semester 1 Hours: 32

LEARNING OUTCOMES:


1. integrate previous and current studies of other subject areas2 develop research skills through obtaining, classifying and using data from case studies and other

sources 3. analyse situations in terms of a continuous improvement strategy4. work as a member of a group or team5. cogently and confidently present an analysis to a group

SYLLABUS CONTENT:

1. Group WorkThe students will work individually but also in groups of two or three on a number of different case studies.

2. Continuous FeedbackThe analysis of the cases will be continuously assessed with feedback given throughout the semester to enable continuous improvement in the student’s work.

3. Range of Case StudiesCase studies from a number of sources will be used, for Examinationple:The Open University, Warwick Business School,The European Case Clearing House.

LEARNING MODES:

Classes will involve individual work, group discussion and lecturer-led discussionPresentations will be formal and informal among the class


Oral presentation and six written assignments 100%

Subject Title: EXPERIMENTAL DESIGN Credits: 5


Pre-requisite Subjects: Statistics Hours: 48

LEARNING OUTCOMES:


1. calculate correlation coefficient and conduct a test of significance.2. solve simple linear regression and curvilinear regression problems and make predictions.3. conduct one way and two-way ANOVA including the analysis of residuals.4. conduct 2k and 2k p factorial experiments and analyse the resulting data.5. apply Taguchi methods involving calculation of loss function and signal-to-noise ratios.6. understand when and how to apply the appropriate experimental techniques and models.7. use a statistical package to analyse and interpret experimental data.


1. Correlation : Meaning of correlation coefficient (r).Hypothesis test on correlation coefficient. Spearman’s Rank Order correlation.

4

2. Regression : Simple linear regression. Making predictions. Confidence intervals and hypothesis testing. The coefficient of Determination. Curvilinear regression and use of transformations. Computation of Multiple Regression via computer.

5

3. Analysis of Variance : One and two way ANOVA. Comparison of treatment means - Least Significant difference. Analysis of Residuals. Randomised block designs.

6

4. 2k Factorial designs : Planning and conducting industrial experiments, blocking, replication, randomisation. Analysis of variance. Calculation of main and interaction effects. Development response graphs. Development of a model which relates response to the factors. Model adequacy checking. Dealing with single replicates of a 2k design. Construction of blocks in a 2k design.

12

5. 2k p fractional factorial designs : Their construction and analysis. Design resolution, confounding patterns and generating relations. Fold-over designs.

6

6. Taguchi methods: The philosophy. Loss function. Approach to parameter and tolerance design. Inner and outer Arrays. Linear graphs, Data analysis using Taguchi methods. Comparison of Taguchi experimental designs and data analysis methods with western methods.

8

7. Misc.: Random vs. Fixed effects models. Crossed vs. Nested designs. Explanation of experiments with randomisation restrictions – e.g. Split-plot designs.

4


LEARNING MODES:

Lectures. Use of an experimental design teaching aid. Extensive use of a computer-based statistical package - MINITAB.


Assignment work - Design and analyse own non-industrial experiment: 20%. End of semester Examination: 80%.


Essential TextMontgomery, Douglas, Design and Analysis of Experiments, 2001, John Wiley & Sons

Reference TextBox, Hunter & Hunter, Statistics for Experimenters, 1978, John Wiley & Sons.Turner. Charles and Hicks. Kenneth, Fundamental Concepts in the Design of Experiments, 1999, Oxford University Press.Ross, Phillip, Taguchi Techniques for Quality Engineering, 1995, McGraw-Hill.Roy, Ranjit, Design of Experiments Using the Taguchi Approach : 16 Steps to Product and Process Improvement, 2001, John Wiley & Sons.

Subject Title: MEASUREMENT SYSTEMS Credits: 4


Pre-requisite Subjects: Inspection Planning Hours: 48

LEARNING OUTCOMES:


1. Develop, install and manage a calibration system2. Understand the term ‘uncertainty in measurement’ and its evaluation.3. Understand how sound and light are used as measurement media.4. Appreciate the significance of 100% inspection.5. Be able to specify appropriate inspection equipment.6. Appreciate the importance of Poka-Yoke systems in defect prevention.


1. Introduction. 12. Calibration Systems Management. 33. Dealing with nonconforming instruments. 14. Measurement Uncertainty. 25. Measurement System Analysis. 26. Non-Destructive Testing Techniques. 27. Light as a measurement medium. 18. Sound as a measurement medium 0.59. Non-Destructive testing. 2.510. Co-ordinate Measuring Machines. [CMMs.] 111. Automated 100% Inspection and Vision Systems. 112. Machine Tool Metrology. 113. Laboratory Accreditation. 314. Taylor’s theory of gauging, Limits & Fits and Go Not Go gauges. 215. Source Inspection & P-Y Systems 416. Developments in measurement and calibration techniques. 3


Laboratory Work:1. Perform a Gauge Capability Study.2. Apply Design Fault Analysis to Attribute data collection & analysis.3. Co-ordinate Measurement Machine.4. Thermocouple Calibration.5. Calibration System Design.6. Inspection Planning. [Specifying equipment, its calibration and use.]

15

LEARNING MODES:

Two hours lectures per week. 30 hours.Laboratory Work 15 hours


Continuous Assessment 10%Practicals 20%Final Examination 70%


Course Text:Essential:Kennedy, Bob Inspection Planning Booklets 1 & 2 IT, Sligo 2001.Kennedy, Bob Practical Calibration. IT, Sligo 2001.Various Handouts.Recommended:Bolton, W. Instrumentation and Measurement Pocket Book .1996 Newnes. De Silva, G.M.S. Basic Metrology for ISO9000 Certification. Butterworth-Heinemann. 2002.Numerous texts in sections 620.0044 and 658.562

Subject Title: RELIABILITY ENGINEERING Credits: 6



LEARNING OUTCOMES:


1. understand the concept of reliability engineering and its development as a engineering discipline.2. describe and use the different statistical distributions associated with reliability engineering.3. use probability plotting techniques to analyse data and draw conclusions about products.4. perform simple reliability predictions and modelling.5. analyse the reliability of a design or a process using FMECA, FTA.6. understand the importance of a reliability test programme.7. demonstrate the importance of maintenance, maintainability and availability.

SYLLABUS CONTENTHours

1. Introduction to Reliability Engineering 2Definitions of reliability and terminology used. Patterns of failure. The development of reliability engineering, reliability economics.

2. Reliability Mathematics 4Probability distributions – discrete and continuous. Statistical confidence, non-parametric methods, goodness of fit, point processes.

3. Probability Plotting 5Ranking data, Using Weibull probability plotting paper for uncensored, censored and failure-free distributions.

4. Reliability Prediction and Modelling 7Systems reliability models – series, parallel, m-out-of-n redundancy and standby redundancy models. Availability of repairable systems.

5. Reliability in Design 5Design analysis methods- load-strength analysis, failure mode effects analysis (FMEA), fault tree analysis (FTA), parts materials and process review (PMP), non-material failure modes, critical items list. Management of the design review.

6. Reliability of Mechanical /Electrical Systems 4Mechanical - overload, strength degradation, fatigue, wear etc.Electrical – packaging, specification, screening, connectors, failure modes, failure prediction

7. Reliability Testing, Data Analysis and Reliability Demonstration 9Planning reliability testing - test environments, accelerated tests, failure reporting and corrective action system (FRACAS).Data Analysis – Pareto analysis. Analysis of repairable systems- multi-socket systems, cusum charts, exploratory data analysis.Reliability demonstration – US MIL-STD-781.Non-parametric methods. Reliability growth monitoring.

8. Maintainability, Maintenance and Availability 6Maintenance strategies – corrective maintenance, preventive maintenance, total productive maintenance (TPM), cost of corrective action Vs preventive action.Maintainability and Availability –factors affecting downtime, equipment design.

9. Reliability Engineering 2Integrated reliability programmes, reliability and costs, specifying reliability, contracting for reliability, the reliability manual, customer management of reliability.

10. Project 30

The purpose of the project is to consolidate the theory covered in class.Working in groups, the students will choose a product to analyse. This analysis will include a reliability block diagram, an FMECA, a FTA, a test program. Standards associated with the product and product liability will be investigated together with any recommendations for design improvements.


LEARNING MODES:

The course will be taught in lecture mode, supported by tutorials, videos and case studies.


End of Semester Examination 80%Project 20%


Essential TextO’Connor, P.D.T., Practical Reliability Engineering, 4rd Edition, 2002, John Wiley & Sons

Documents

Template - Institute of Technology, Sligostaffweb.itsligo.ie/staff/bmulligan/BScQMT/syllabus.doc · Web viewand R variable control chart. Attribute control charts i.e. p, np, c and