Information Package

Master's of Quality Engineering without Thesis

KAL502

STATISTICAL PROCESS CONTROL

Course Code
KAL502
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeCompulsory Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. will have knowledge on applications of mathematics, science and engineering knowledge
  2. will have an ability to define and measure the quality characteristics in a manufacturing/service industry
  3. will have knowledge on decision making in quality improvement by statistical techniques
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course Description
Course Contents
WEEK TOPICS
1st Week Quality improvement in the modern business environment
2nd Week Philosophy of statistical process control
3rd Week Variables control charts - xbar and R, xbar and S charts
4th Week Variables control charts - individuals control charts
5th Week Attributes control charts - p and np charts
6th Week Attributes control charts - c and u charts
7th Week Midterm I
8th Week Process Capability Analysis
9th Week Measurement Systems Capability Analysis
10th Week CUSUM control charts
11th Week EWMA control charts
12th Week Acceptance Sampling
13th Week Autocorrelated observations and short run productions
14th Week Multivariate SPCS
Recommended or Required ReadingIntroduction to Statistical Quality Control, D.C. Montgomery, 6. baskı, Wiley (2008)
Applied Statistics and Probability for Engineers, D.C. Montgomery ve G.C. Runger, 4. Baskı, Wiley (2006)
Planned Learning Activities and Teaching Methods
  • Lecture
  • Presentation
  • Project
  • Other
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 20
Assignment 3 20
Quiz 4 15
Project 1 15
Total(%) 70
Contribution of In-term Studies to Overall Grade(%) 70
Contribution of Final Examination to Overall Grade(%) 30
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 4 6 24
Individual or group work 14 12 168
Preparation for Final exam 1 20 20
Course hours 14 3 42
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 2 2
Homework 4 8 32
Total Work Load310
Total Work Load / 30 (h)10.33
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X
K2 X X
K3
K4 X
K5 X X
K6