QUALITY ASSURANCE & RELIABILITY

Course Description

The purpose of the course is to make an introduction method of statistical quality control and improvements that are used in the manufacturing and service industries along with basic concepts of reliability. Emphasis on an acceptance sampling, process control, reliability engineering and management, and the economic design of control systems. The course also introduces basics of experimental design in determining quality products and reliability models. At first; students will be introduced to some of the philosophies of quality control experts and their impact on quality. After a quick review of normal probability distribution, a few graphical methods used to monitor quality improvement will be given. Control charts for variables and attributes with examples, acceptance sampling plans for variables and attributes are to be followed.

QUALITY ASSURANCE & RELIABILITY

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 1. Understand principles of quality, quality management and continuous improvement.
2. 02 2. Understand the necessity of and the differences between different approaches, tools and techniques for organizing for quality.
3. 03 3. Classify and compute different types of quality costs.
4. 04 4. Evaluate the quality of goods/services and capability of processes.
5. 05 5. Apply the problem solving systematic for continuous improvement.
6. 06 6. Understand and utilize quality tools and techniques to diagnose, analyze and solve problems.

Course Syllabus

Reference Books & Course Materials

1. 01 Montgomery, D.C., "Managing, controlling, and improving quality", John Wiley & Sons.
2. 02 Statistical Quality Design and Control: Contemporary Concepts and Methods; R.E. DeVor, T. Chang, J. W. Sutherland; 2nd Ed.; Prentice Hall; 2007; ISBN-13: 978-0130413444
3. 03 Fundamentals of Quality Control and Improvement, Amitava Mitra; 2nd Edition, Prentice Hall, 1998; ISBN-13: 978-0136450863
4. 04 Probability and Statistics for Engineers and Scientists; Roland W. Walpole, Reymond H. Myers and Sharon L. Myers, 6th edition, Prentice Hall, 1998; ISBN-13: 978-0138402082

Learning Outcomes

1. L01 Interpretation of the control charts developed SOLO 3
2. L01 1. Understand principles of quality, quality management and continuous improvement. SOLO 3
3. L02 2. Understand the necessity of and the differences between different approaches, tools and techniques for organizing for quality. SOLO 4
4. L03 3. Classify and compute different types of quality costs. SOLO 4
5. L04 4. Evaluate the quality of goods/services and capability of processes. SOLO 5
6. L05 5. Apply the problem solving systematic for continuous improvement. SOLO 5
7. L06 6. Understand and utilize quality tools and techniques to diagnose, analyze and solve problems. SOLO 5
8. L07 Construct appropriate control charts for various process characteristics under different environments SOLO 4

Program Outcomes

1. P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
2. P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
3. P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
4. P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
5. P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
6. P06 Ability to design creative solutions to complex engineering problems.
7. P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
8. P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
9. P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
10. P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
11. P11 Ability to design experiments for the investigation of complex engineering problems.
12. P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
13. P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
14. P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
15. P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
16. P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
17. P17 Ability to work effectively as an individual.
18. P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
19. P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
20. P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
21. P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
22. P22 Knowledge of professional practices such as project management and economic feasibility analysis.
23. P23 Awareness of entrepreneurship and innovation.
24. P24 Ability for independent and lifelong learning.
25. P25 Ability to adapt to new and emerging technologies.
26. P26 Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix