Course Name Code Semester T+U Hours Credit ECTS
Quality Cont.&Quality Improving In The Textile Ind ENM 524 0 3 + 0 3 6
Precondition Courses To complete general courses related to quality subjects.
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Prof.Dr. SEMRA BORAN
Course Lecturers
Course Assistants Res.Asst. Aysegul Aydin
Course Category
Course Objective To introduce the applications related to quality control and improving in textile industry.
Course Content To give brief information regarding textile industry and technology. To introduce online and of line quality control tools and activity in textile industry. To indicate quality parameters needed in spinning, weaving and dying and finishing process. To introduce the applications of Taguchi experimental analysis and artificial neural network in textile quality control.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Subjects given in the course
Week Course Topics Preliminary Preparation
1 Introduction to Turkish textile industry and its share in the Turkish economy.
2 Introduction to textile technology and the quality parameters to be controlled and improved
3 Concept and definition related quality, quality control and quality improving
4 Importance of quality and devices and tools used quality control
5 Application of online and automatic quality control in the textile industry
6 Use of variable control charts ( X, X bar and R charts) in spinning and weaving process and economic control charts
7 Principles of economic control charts and quality costs.
8 Attributes control charts(p, np and c charts) in spinning and weaving process
9 Application of attributes control charts
10 The factors affected quality in textile industry
11 Design of experiment. Full factorial and fractional designs and Taguchi designs..
12 Application of design of experiment and Taguchi method.
13 Application of neural network in textile quality control ( pattern and fault recognition by artificial neural network)
14 The relation between quality and productivity and related some problems
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information.
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines.
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions.
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs.
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process.
6 Identify the information and data needed, reach them and evaluate them at an advanced level.
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility.
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field.
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits.
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary.
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment.
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 68
1. Kısa Sınav 1
1. Ödev 15
2. Kısa Sınav 1
2. Ödev 15
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 20 20
Assignment 2 15 30
Final examination 1 15 15
Total Workload 161
Total Workload / 25 (Hours) 6.44
dersAKTSKredisi 6