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Design for Quality - course description

General information
Course name Design for Quality
Course ID 06.9-WM-MaPE-QE-P-DQ- 23
Faculty Faculty of Engineering and Technical Sciences
Field of study Management and Production Engineering
Education profile academic
Level of studies First-cycle studies leading to Engineer's degree
Beginning semester winter term 2023/2024
Course information
Semester 5
ECTS credits to win 2
Available in specialities Quality Engineering
Course type obligatory
Teaching language english
Author of syllabus
  • doc. dr inż. Julian Jakubowski
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Lecture 15 1 - - Credit with grade
Project 15 1 - - Credit with grade

Aim of the course

The aim of the course is to familiarize students with design methods for quality in the product life cycle, ways to identify factors that most strongly affect the quality of products or processes and use them to design a product or process resistant to interference that may reduce quality, ensure that the quality of workmanship is as close as possible to the design quality and control the quality of the product during its manufacture and operation

Prerequisites

Basics of metrology, basics of engineering design, mathematical statistics, materials science

Scope

Lecture

1: The structure of the design process. Design methods for quality.

2: Experimental methods in product and process design (Shainin method, Taguchi method).

3: Defect cause and effect analysis (FMEA). Defect tree analysis (FTA). QFD method.

4: Design quality according to Deming. The quality of the design process.

5: Control methods, including statistical control techniques.   Statistical acceptance control. Statistical process control.

6: Teamwork methods: brainstorming, incompetence, pros and cons, quality wheels.

7: Selected quality support techniques: 8D report, 5S method, 5-Why method. The concept of technological, criteria and rules for selecting the optimal technological process. Requirements necessary to be met in the product design process in order to obtain the technological nature of the structure.

8: Current trends in the development of manufacturing techniques with particular emphasis on factors affecting the reduction of production costs (reduction of energy consumption and consumption of materials, automation) while increasing the quality of products.

 

The following issues are developed within the laboratory:

L1: Development of design assumptions for machine or subassembly parts, taking into account the conditions of use,

L2-L3: Develop a detailed seven-step teamwork plan.

L4-L7: Selection of adequate design methods for quality for the selected product. Application of selected methods (from the lecture) for pro-quality design

L8: Solutions Presentation

Teaching methods

Lecture - conventional.

Lab: teamwork and with source document

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Lecture – the condition for passing the lecture part is to obtain a positive assessment from the colloquium including verification of knowledge of basic issues. The student gets 5 questions about the issues of the subject. The exam grade consists of grades from 5 exam questions. The average grade of 5 questions is entered.

Laboratory – the condition for passing the laboratory is to obtain a positive assessment from the submitted report on an electronic carrier and substantive justification of the adopted solutions. Assessment determined on the basis of the component assessing skills related to the implementation of laboratory tasks.  

Course credit: The final grade for passing the course is the arithmetic average of the grades for individual forms of classes.

Recommended reading

     

  1. Krzysztof Sacha Software Engineering Techniques: Design for Quality. IFIP Advances in Information and Communication Technology. Springer, 2006
  2. Theodore T. Allen Introduction to engineering statistics and six sigma: statistical quality control and design of experiments and systems. Springer, London, 2006
  3. Latif Al-Hakim, Latif Al-Hakim Quality Management: Theory and Applications. IGI Global 2006.

Further reading

David Hoyle ISO 9000 Quality Systems Handbook. Butterworth-Heinemann Oxford; Boston, 2001    

 

Notes

Brak


Modified by dr inż. Julian Jakubowski, prof. UZ (last modification: 27-04-2023 13:41)