Statistical Quality Control in Food Industry

Course Code:

FDE 345

Course Period:

Spring

Course Type:

Core

Credits:

3

Theoric:

3

Practice:

0

Laboratory Hour:

0

ECTS:

5

Course Language:

English

Course Coordinator:

Mustafa Özilgen

Courses given by:

Mustafa Özilgen

Course Objectives:

Teaching fundamental concepts of statistical quality control. Gaining the ability to perform interdisciplinary team work in a group of three to four students

Course Content:

Gaining the ability of making the quality control and sampling plans

Course Methodology:

1: Lecture by instructor, 2: Lecture by instructor with class discussion, 3: Problem solving by instructor, 4: Use of simulations, 5: Problem solving assignment, 6: Reading assignment, 7: Laboratory work, 8: Term research paper, 9: Presentation by guest

Course Evaluation Methods:

A: Written exam, B: Multiple-choice exam C: Take-home quiz, D: Experiment report, E: Homework, F: Project, G: Presentation by student

Vertical Tabs

Ders Tanimlari

Course Learning Outcomes

Course Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
Learning fundamental aspects of statistical quality control; establishing the project teams, choosing the project topic, drawing the project flow diagram, discussing the fundamental concepts	1a, 1b,2a, 2b, 9a, 9b	1, 2, 3, 4, 5, 6, 8, 9, 10, 11	A, F,G
Data collection and processing in statistical quality control. Critical control points, Hazard analysis and FMEA in production processes	1a, 1b,2a, 2b, 9a, 9b	1, 2, 3, 4, 5, 6, 8, 9, 10, 11	A, F,G
Students obtain the skills to work on the examples related with their departments	1a, 1b, 2a, 2b	1, 2, 3, 4, 5, 6, 8, 9, 10, 11	A, F,G
Students gain the ability for making quality control analysis, carrying out interdisciplinary project; developing oral and written communication skills in English, ethical responsibility and legal consequences of their practices	3a, 3b, 4a, 4b, 6a, 6c, 7b, 7c, 7d, 8a, 8b, 11a, 11b, 11c	1, 2, 3, 4, 5, 6, 8, 9, 10, 11	A, F,G

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1-2	Learning fundamental aspects of statistical quality control; establishing the project teams, choosing the project topic, drawing the project flow diagram, discussing the fundamental concepts	Text book
3-6	Data collection and processing in statistical quality control	Text book
7	Critical control points, Hazard analysis and FMEA in production processes	Text book
7	Midterm exam
8-9	Measurement and attribute quality control charts	Text book
9-10	Standard sampling plans for quality control	Text book
11-12	Students will make measurement and quality control charts and sampling plans for appropriate points on the process flowchart of their project. After explaining FMEA methodology, FMEA analysis of the project will be done.	Text book
13	Midterm exam
13 -14	Student project presentations

Recommended Sources

RECOMMENDED SOURCES
Textbook	Lecture notes provided by instructor and shared with students in YULearn Özilgen, M. Handbook of Food Process Modeling and Statistical Quality Control, 2nd ed, CRC Press, USA, 2011
Additional Resources	Özilgen, M. Endüstrileşme Sürecinde Bilgi Birikiminin Öyküsü, 2nd ed. Arkadaş Yayınevi, Ankara, 2011 Özilgen, M. Artistic narrative of technology. Yeditepe University Press, Istanbul, 2014

Material Sharing

MATERIAL SHARING
Documents	YULearn Projects prepared a year ago
Assignments	Turnitin/YULearn
Exams	Previous years exams

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Midterm Examination	1	% 33
Written report of asssigned project	1	34
Oral presentation of assigned project	1	33
Total		100
Contribution of final examination to overall grade	1	34
Contribution of in-term studies to overall grade		66
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	√ koyunuz
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,	√
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.	√
2a	Ability to identify, formulate, and solve complex engineering problems,	√
2b	Ability to select and apply proper analysis and modeling methods for this purpose.	√
3a	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result,	√
3b	Ability to apply modern design methods for this purpose.	√
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.	√
4b	Ability to employ information technologies effectively.	√
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6a	Ability to work efficiently in intra-disciplinary teams,	√
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.	√
7a	Ability to communicate effectively in Turkish, both orally and in writing,
7b	Knowledge of a minimum of one foreign language,	√
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,	√
7d	Ability to make effective presentations,	√
7e	Ability to give and receive clear and intelligible instructions.
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,	√
8b	Ability to continue to educate him/herself.	√
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.	√
9b	Knowledge on standards used in engineering practice.	√
10a	Knowledge about business life practices such as project management, risk management, change management.
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,	√
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.	√
11c	Awareness of the legal consequences of engineering solutions.	√

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Lectures	14	3	42
Work outside class	14	2	28
Term Project- Personal study	1	12	12
Midterm	1	16	16
Final	1	15	15
Project, presentation	1	2	2
Total Work Load			115
Total Work Load / 25 (h)			4.6
ECTS Credit of the Course			5

Search form

Statistical Quality Control in Food Industry

Vertical Tabs

Ders Tanimlari