Endüstri Mühendisliği

IE 334 | Ders Tanıtım Bilgileri

Dersin Adı

Statistical Quality Control

Kodu	Yarıyıl	Teori (saat/hafta)	Uygulama/Lab (saat/hafta)	Yerel Kredi	AKTS
IE 334	SPRING	2	2	3	7

Ön-Koşul(lar)	MATH 236 To succeed (To get a grade of at least DD)
Dersin Dili	English
Dersin Türü	Zorunlu
Dersin Düzeyi	Lisans
Dersin Veriliş Şekli	Face to face
Dersin Öğretim Yöntem ve Teknikleri	Problem solving Experiment/Laboratory/Application Lecture/Presentation
Ulusal Meslek Sınıflandırma Kodu	-
Dersin Koordinatörü	Prof. Dr. Ahmet Sermet Anagün
Öğretim Eleman(lar)ı	Prof. Dr. Ahmet Sermet Anagün
Yardımcı(ları)	-

Dersin Amacı

This course aims to provide information about quality costs, fundamental topics related to quality control, tools, statistical methods, and acceptance sampling methods.

Öğrenme Çıktıları

Bu dersi başarıyla tamamlayabilen öğrenciler;

Ad	Açıklama	PC Alt	* Katkı Düzeyi
Ad	Açıklama	PC Alt	1	2	3	4	5
LO1	Analyze quality costs	1.5		X
LO2	Use statistical methods	4			X
LO3	Describe problem identification tools	4		X
LO4	Apply control charts	4				X
LO5	Design measurement system.	5.2			X
LO6	Apply acceptance sampling methods.	5.3				X

Ders Tanımı

This course covers quality concept, quality costs, statistical methods (confidence intervals, hypothesis testing, analysis of variance), problem identification tools, control charts for variables and attributes, process capability analysis, measurement system analysis, acceptance sampling methods.

Dersin İlişkili Olduğu Sürdürülebilir Kalkınma Amaçları

Dersin Kategorisi	Temel Ders	X
	Uzmanlık/Alan Dersleri
	Destek Dersleri
	İletişim ve Yönetim Becerileri Dersleri
	Aktarılabilir Beceri Dersleri

HAFTALIK KONULAR VE İLGİLİ ÖN HAZIRLIK ÇALIŞMALARI

Hafta	Konular	Ön Hazırlık	Öğrenme Çıktısı
1	Quality Concept and Quality Costs	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 1, s. 3-47	LO1
2	Statistical Models for Data Characterization	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 3, s.67-79	LO2
3	Statistical Models for Data Characterization	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 3, 80-102	LO2
4	Inferences About Process Quality	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 4, s. 117-150	LO3
5	Statistical Basis of the Control Chart, Problem Identification Tools	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 5, s. 187-210	LO3
6	Control Charts for Variables	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 6, 234-258	LO4
7	Control Charts for Variables	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 6, 259-276	LO4
8	Midterm Exam		-
9	Control Charts for Attributes	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 7, s.297-316	LO4
10	Control Charts for Attributes	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 7, s. 317-339	LO4
11	Process Capability Analysis	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 8, s. 355-378	LO5
12	Measurement System Analysis	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 8, s.379-395	LO5
13	Introduction to Statistical Experimental Design	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 13, s. 563-569	LO6
14	Factorial Designs	Montgomery, D.C., Introduction to Statistical Quality Control (7th Edition), Bölüm 13, 570-590	LO6
15	Review semester		-
16	Final Exam		-

Ders Kitabı	Montgomery D.C. Introduction to Statistical Quality Control (7th Edition)
Önerilen Okumalar/Materyaller	-

DEĞERLENDİRME ÖLÇÜTLERİ

Yarıyıl Aktiviteleri	Sayı	Katkı Payı %	LO1	LO2	LO3	LO4	LO5	LO6
Laboratuvar / Uygulama	1	20	X	X	X	X	X	X
Ara Sınav	1	25			X	X	X	X
Final Sınavı	1	40	X	X	X	X	X	X
Proje	1	15		X
Toplam	4	100

AKTS / İŞ YÜKÜ TABLOSU

Yarıyıl Aktiviteleri	Sayı	Süre (Saat)	İş Yükü
Katılım	-	-	-
Teorik Ders Saati	16	2	32
Laboratuvar / Uygulama Ders Saati	16	2	32
Sınıf Dışı Ders Çalışması	14	4	56
Arazi Çalışması	-	-	-
Küçük Sınav / Stüdyo Kritiği	-	-	-
Portfolyo	-	-	-
Ödev	-	-	-
Sunum / Jüri Önünde Sunum	-	-	-
Proje	1	25	25
Seminer/Çalıştay	-	-	-
Sözlü Sınav	-	-	-
Ara Sınavlar	1	25	25
Final Sınavı	1	40	40
		Toplam	210

DERSİN ÖĞRENME ÇIKTILARININ PROGRAM YETERLİLİKLERİ İLE İLİŞKİSİ

#	PC Alt	Program Yeterlilikleri / Çıktıları	* Katkı Düzeyi
#	PC Alt	Program Yeterlilikleri / Çıktıları	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics		LO1
	6	The ability to apply this knowledge to solve complex engineering problems
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.			LO3	LO2	LO4
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments			LO5
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results				LO6
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.