İSTATİSTİKSEL PROSES KONTROL PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
MHY566	İSTATİSTİKSEL PROSES KONTROL	1	3	3	6

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	MASTER'S DEGREE, TYY: + 7.Level, EQF-LLL: 7.Level, QF-EHEA: Second Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. DİDEM YILMAZ ÇAPKUR
Instructor(s) of the Course Unit	Prof. YILMAZ ÖZKAN
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The aim of this course is; To learn what process variability is, what statistical methods are used in statistical process control, how to detect variability in the process before defective products appear, and to use these methods with Minitab software.
Contents of the Course Unit:	Definition of quality, history, design quality and conformity quality. Variability, its measurement and the importance of variability for the process, Basic statistical methods used in quality improvement, Statistical foundations on which process control cards are based, Use of statistical decision-making methods in process control, Variance analysis, Control cards for measurable variables, (X mean, R, S), Control cards for unmeasurable variables (p, np, c, u), Process and machine capability analysis Acceptance sampling and standard sampling plans Single, double, multiple and sequential sampling plans

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Learns the basic concepts related to Quality and Process.
Learns the sources of variability and understands process variability.
Uses graphical methods to visualize process variability.
Learns the importance of statistical process control.
Learns statistical decision-making methods and uses them for process control.
Prepares process control cards and uses them in the process.
Calculates process and machine adequacy and knows what it means.
Creates and uses acceptance sampling plans.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	DEFINITION OF QUALITY AND IMPROVEMENT OF QUALITY Historical Process of Quality, Quality Control and Quality Improvement, Product and Service Quality Dimensions, Design Quality and Conformance Quality, Natural and Unnatural Causes of Quality Change	-
2	-	DEMING CYCLE AND DMAIC PROCESS Define, Measure, Analyze, Improve, Control	-
3	-	STATISTICAL METHODS and USE OF Minitab SOFTWARE Compiling data through research, observation, experiment, counting or measurement, Editing and Visualizing the Compiled Data Analysis of the compiled data	-
4	-	Mean and Variability Measures, Asymmetry and Kurtosis Measurement, Probability and Probability Distributions, Compliance with Normal Distribution	-
5	-	Parametric Hypothesis Tests, Non-Parametric Hypothesis Tests	-
6	-	Variance Analysis	-
7	-	Correlation and Regression Analysis, Analysis of Time Series	-
8	-	MID-TERM EXAM	-
9	-	PROCESS CONTROL DIAGRAMS Structure of Control Diagrams, Types of Control Diagrams, Interpretation of Control Diagrams	-
10	-	CONTROL DIAGRAMS FOR VARIABLES Control Diagrams for Process Average, Control Diagrams for Process Variability	-
11	-	CONTROL DIAGRAMS FOR FEATURES Defect Rate Control Diagram (p) Number of Defects Control Diagram (np) Average Number of Defects Diagram (c) Number of Defects per Unit Diagram (u)	-
12	-	SAMPLING AND SAMPLING METHODS Random Sampling Methods Distribution of Sample Means	-
13	-	SAMPLING PLANS Single, Double, Multiple and Sequential Sampling Plans, Acceptance Sampling for Characteristics (MIL STD 105E), Acceptance Sampling for Variables (MIL STD 414),	-
14	-	PROCESS, MACHINE AND MEASURING DEVICE CAPABILITY ANALYSIS Process Capability Analysis with the Help of Histogram, Process Capability Analysis with the Help of Probability Graph, Process Capability Analysis with the Help of Process Control Diagram	-
15	-	Process Capability Ratios	-
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
ÖZKAN Yılmaz (2008), Total Quality. Sakarya Publishing, Number of editions: 2, Number of pages 522, ISBN: 978-975-8644-89-6, Turkish (Textbook), (Publication Number: 5812)
ÖZKAN Yılmaz (2016), Probability and Statistics, Sakarya Publishing, Editor: ÖZKAN Yılmaz, Number of editions: 1, Number of pages 625, ISBN: 978-605-4229-55-0, Turkish (Textbook), (Publication Number: 2883940 )
MONTGOMERY Douglas C. (2019), Introduction to Statistical Quality Control, John Wiley & Sons, Number of Editions: 8, Number of Pages 768, ISBN: 978-1-119-39930-8

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method
Mid-Term Exam	1	30
Homework Assessment	1	10
Short Exam	1	10
Final Exam	1	50
TOTAL	4	100

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Gaining expertise in management processes and management and integrating this knowledge with knowledge from different disciplines					4

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have the ability to conduct scientific research, publication and presentation within the framework of academic ethics by using foreign language knowledge and skills.					4

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have the ability to use advanced computer, information and communication technologies.			2

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have the ability to effectively solve complex problems in the related field by reinforcing non-Industrial Engineering undergraduate knowledge with Engineering Management knowledge and skills				3

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have the ability to work individually in their field and lead the team in the problems encountered.					4

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have the ability to work in multidisciplinary engineering teams					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have the knowledge and skills to criticize social norms.					4

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Have the ability to make strategic and operational decisions for solving problems related to the field					4
2	To be able to use the methods, tools and techniques required to solve the problems related to the field.					4

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	3	42
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	14	3	42
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	1	13	13
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	13	13
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	46	0	154