| Industrial Engineering (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code: | ISE403 | ||||
| Course Name: | Quality and Reliability Engineering | ||||
| Semester: | Fall | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Compulsory Courses | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Doç. Dr. SALİHA KARADAYI USTA | ||||
| Course Lecturer(s): | Dr. Öğr. Üy. NOYAN SEBLA SEZER | ||||
| Course Assistants: |
| Course Objectives: | The objectives of this course are to develop skills for applying efficient statistical methods for quality control, monitoring and improvement in a variety of both product and non-product (service) situations. |
| Course Content: | Methods and philosophy of statistical process control; Statistical tools for quality improvement; Control charts for process monitoring; Process capability analysis; Measurement systems analysis; Acceptance sampling techniques; Design of experiments |
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The students who have succeeded in this course;
1) Implement statistical tools for modeling or describing the quality characteristics of the process 2) Use the statistical process control tool in quality problem-solving 3) Design and interpret control charts to analysis the process quality and to monitor variation in process 4) Compute and analyze the process capability 5) Conduct the Design of Experiments method for process design and quality improvement |
| Week | Subject | Related Preparation |
| 1) | Fundamentals of Quality Control and Reliability Engineering | |
| 2) | Measurement system capability analysis | |
| 3) | Quality improvement in the modern business environment | |
| 4) | Statistical process control | |
| 5) | Statistical process control | |
| 6) | Control charts for variables | |
| 7) | Control charts for variables | |
| 8) | Mid-term Exam | |
| 9) | Control charts for attributes | |
| 10) | CUSUM and EWMA control charts | |
| 11) | Process capability analysis | |
| 12) | Acceptance sampling | |
| 13) | Process improvement with Design of Experiments | |
| 14) | Process improvement with Design of Experiments |
| Course Notes / Textbooks: | Montgomery, D.C. (2019) Introduction to Statistical Quality Control. 8th ed., John Wiley and Sons. ISBN: 978-1-119-39930-8. |
| References: | Jiang, R. (2015). Introduction to quality and reliability engineering. Springer. ISBN: 978-3-662-47214-9. |
| Course Learning Outcomes | 1 |
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| Program Outcomes | |||||||||||
| 1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |||||||||||
| 2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 2 | 2 | 2 | ||||||||
| 3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 2 | 3 | 2 | ||||||||
| 4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively. | |||||||||||
| 5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. | 3 | 3 | |||||||||
| 6) Ability to work effectively within and multidisciplinary teams; individual study skills. | |||||||||||
| 7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||||||||
| 8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |||||||||||
| 9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |||||||||||
| 10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |||||||||||
| 11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions. | |||||||||||
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. | |
| 2) | Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 2 |
| 3) | Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 2 |
| 4) | Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively. | |
| 5) | Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics. | 3 |
| 6) | Ability to work effectively within and multidisciplinary teams; individual study skills. | |
| 7) | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| 8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |
| 9) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |
| 10) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |
| 11) | Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Midterms | 1 | % 40 |
| Final | 1 | % 60 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| total | % 100 | |
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 13 | 0 | 3 | 39 | |||
| Laboratory | 13 | 0 | 2 | 26 | |||
| Study Hours Out of Class | 13 | 0 | 1 | 13 | |||
| Homework Assignments | 2 | 0 | 10 | 20 | |||
| Quizzes | 2 | 6 | 2 | 16 | |||
| Midterms | 1 | 8 | 2 | 10 | |||
| Final | 1 | 18 | 2 | 20 | |||
| Total Workload | 144 | ||||||