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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| INDUSTRIAL ENGINEERING (MASTER) (WITH THESIS) | |
| Code | EM546 |
| Name | Statistical Quality Control |
| Term | 2019-2020 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. RIZVAN EROL |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The primary aim of this course is to study modern statistical methods for quality control and improvement. Basic knowledge of statistical concepts such as random variables and distributions, probability and hypothesis testing is required.
Course Content
Introduction to quality concepts. fundamental statistics required for quality. statistical methods for quality improvement. data analysis. pareto analysis. cause-and-effect diagrams. histograms and scatter diagrams. control charts and sampling methods. review of statistical packages for quality (SPSS, MINITAB, S-plus, Statistica).
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Uses Statistical Process Control(SPC) methods for process monitoring and improvement. |
| LO02 | Selects and applies an appropriate control chart type for a selected process or product quality characteristics. |
| LO03 | Analyzes capability of a process or a measurement system. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. | 4 |
| PLO02 | - | Acquires comprehensive knowledge about methods and tools of industrial engineering and their limitations. | 4 |
| PLO03 | - | Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. | 5 |
| PLO04 | - | Completes and applies the knowledge by using scarce and limited resources in a scientific way and integrates the knowledge into various disciplines. | 4 |
| PLO05 | - | Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary. | 4 |
| PLO06 | - | Has the ability to propose new and/or original ideas and methods, develops innovative solutions for designing systems, components or processes. | 4 |
| PLO07 | - | Designs Industrial Engineering problems, develops innovative methods to solve the problems and applies them. | 4 |
| PLO08 | - | Works in multi-disciplinary teams and takes a leading role and responsibility. | 3 |
| PLO09 | - | Identifies, gathers and uses necessary information and data. | 4 |
| PLO10 | - | Follows, studies and learns new and developing applications of industrial engineering. | 4 |
| PLO11 | - | Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. | 3 |
| PLO12 | - | Presents his/her research findings systematically and clearly in oral and written forms in national and international platforms. | 4 |
| PLO13 | - | Understands social and environmental implications of engineering practice. | 3 |
| PLO14 | - | Considers social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. | 5 |
| PLO15 | - | Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Control Charts for Variables I | reading the related textbook chapter | |
| 2 | Control Charts for Variables II | reading the related textbook chapter | |
| 3 | Control Charts for Variables I | reading the related textbook chapter | |
| 4 | Control Charts for Variables II | reading the related textbook chapter | |
| 5 | Process and Measurement System Capability | reading the related textbook chapter | |
| 6 | CUSUM and EWMA Control Charts I | reading the related textbook chapter | |
| 7 | CUSUM and EWMA Control Charts II | reading the related textbook chapter | |
| 8 | Mid-Term Exam | prepare for the exam | |
| 9 | Process Design and Improvement with Designed Experiments I | reading the related textbook chapter | |
| 10 | Process Design and Improvement with Designed Experiments II | reading the related textbook chapter | |
| 11 | Lot-by-Lot Acceptance Sampling for Attributes I | reading the related textbook chapter | |
| 12 | Lot-by-Lot Acceptance Sampling for Attributes II | reading the related textbook chapter | |
| 13 | Other Acceptance Sampling Techniques I | reading the related textbook chapter | |
| 14 | Other Acceptance Sampling Techniques II | reading the related textbook chapter | |
| 15 | Project Presentations | prepare a presentation | |
| 16 | Term Exams | prepare for the exam | |
| 17 | Term Exams | prepare for the exam |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||