POM609 - STATISTICAL PROCESS CONTROL

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
STATISTICAL PROCESS CONTROL POM609 1st Semester 3 0 3 6
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Problem Solving
 
Instructor (s)Department Members 
Course objectiveThis course aims to teach the students the statistical process improvement tools used in quality management, define how statistical methods are utilised in quality control and product acceptance, and how fault detection and quality improvement decisions are made based on the outcomes of these analysis.  
Learning outcomes
  1. Average student; digests the quality improvement concept.
  2. Understands the necessary data and respective analysis methods for quality/process improvement.
  3. Is able to apply quantitative methods used in quality management and interprets the outcomes.
  4. Designs the required experiments to highlight critical quality characteristics.
Course ContentQuality improvement, statistical process control, process improvement via experimental design, acceptance sampling, reliability, robust design. 
References- Montgomery, D. C. (2012). Introduction to Statistical Quality Control (7th ed.), John Wiley, New York. 

Course outline weekly

WeeksTopics
Week 1Quality improvement in a business environment
Week 2Statistical techniques used in quality improvement
Week 3Statistical process control and the magnificent seven
Week 4Control charts for attributes
Week 5Control charts for variables
Week 6Process capability analysis
Week 7Experimental design and process improvement
Week 8Taguchi orthogonal arrays and experimental design
Week 9Midterm
Week 10Acceptance sampling for attributes -1
Week 11Acceptance sampling for attributes -2
Week 12Acceptance sampling for variables
Week 13Parts and systems reliability
Week 14Robust design
Week 15Review
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance
Laboratory
Application
Field activities
Specific practical training
Assignments
Presentation
Project
Seminar
Midterms
Final exam
Total
Percentage of semester activities contributing grade succes
Percentage of final exam contributing grade succes
Total

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 0
Laboratory 0
Application0
Specific practical training0
Field activities0
Study Hours Out of Class (Preliminary work, reinforcement, ect)0
Presentation / Seminar Preparation0
Project0
Homework assignment0
Midterms (Study duration)0
Final Exam (Study duration) 0
Total Workload000

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Conducts novel and ethical research on business, reports outcomes in a critical manner. X   
2. Solves problems via appropriate softwares, adapts to new methods and software.   X 
3. Has managerial and leadership skills to identify problems, objectives and strategic plans for organizational progress with a critical point of view.    X
4. Plays an active role in projects, analyses relationship between stakeholders accurately, motivates and manages all stakeholders through effective language skills. X   
5. Has necessary communication skills to manage verbal and written communication. X   
6. Analyses and uses contemporary and advanced knowledge in relation with information from different areas.    X
7. Progresses continuously and transfers the experience in both written and verbal ways.  X  
8. Through anticipation and strategic thinking, plays an active role in organizational decision making process.   X 
9. Uses knowledge in consistency with the ethical, social and international values in an unbiased manner.    X
10. Has expertise on the multi-disciplinary nature of management and related fields.   X 
11. Approaches problems with a wide strategic perspective, self-develops continuously.    X
12. Shares novel studies, is up to date both in knowledge and personal network.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest