DEGREE PROGRAMMES

: INDUSTRIAL ENGINEERING

General Description

History

The Industrial Engineering Department was founded in 1972 within the Engineering Science Faculty of Ege University by Kemal Karhan, İlter Akat and Gündüz Balkan. The Department became a part of the Mechanical Engineering Faculty of Ege University in 1978 and then joined the Engineering Faculty of Dokuz Eylül University in 1983. The department offers graduate programs within the Graduate School of Natural and Applied Sciences. The language of the undergraduate program is Turkish while Master of Science (M.Sc.) and Doctor of Philosophy (Ph.D.) programs are offered in English.

Qualification Awarded

M.Sc. in Industrial Engineering

Level of Qualification

Second Cycle (Master's Degree)

Specific Admission Requirements

First Cycle (Bachelor's Degree) diploma; minimum score of 55 from the National Central Graduate Education Entrance Examination (ALES) in the related field; a minimum score of 65 from the graduate school entrance exam; a minimum score of 60 from the nation-wide Foreign Language Exam ( YDS ) or equivalent score from an exam accredited by YÖK or a minimum score of 65 from DEU School of Foreign Languages English Proficiency Test.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

According to the Regulations of Dokuz Eylül University for Graduate Schools, students may be accepted for graduate transfer with the approval of the Department Directorate and decision of the Board of Directors of the Graduate School in case the student fulfills the graduate transfer regulations decided by the General Council of the Graduate School. Previously taken courses at another graduate programme with a successful grade may be recognized by the related programmes with the written request of the students including course contents and the transcript, and by the recommendation of the Department Directorates and by the decision of the Board of Directors. The courses taken by the outgoing Exchange students may have the recognition at the school either as compulsory or elective by the decision of the Board of Directors.

Qualification Requirements and Regulations

2 years (excluding one year of English Preparatory School), 2 semesters per year, 16 weeks per semester, 120 ECTS in total.

Profile of the Programme

Within the scope of the graduate level in Industrial Engineering, M.Sc. in Industrial Engineering, M.Sc. in Industrial Engineering (Non Thesis), M.Sc. in Engineering Management (Non Thesis) and Ph.D. in Industrial Engineering programs offer courses in the fields of manufacturing systems, dynamic and stochastic modeling, innovation management, total quality management, simulation, lean manufacturing systems, scheduling, heuristic algorithms, risk management, investment analysis, service systems, multi-objective and multi-criteria modeling, facility planning, human factors engineering, supply chain modeling and analysis and expert systems to provide students advanced and detailed information in these fields.
There are four laboratories in the department to service undergraduate and graduate students. Intelligent Optimization and Decision Making Laboratory and Computer and Information Technologies Laboratory are currently in operation while Work Study and Human Factors Laboratory and Manufacturing Systems and Process Design Laboratory are under development. The explanations of these laboratories are given below.
1. Intelligent Optimization and Decision Making Laboratory:
Serves in an area sized 48 m2. In this laboratory, students can study and make research on the optimization and decision-making techniques. The following software and hardware are used for educational and research purposes.
2. Computer and Information Technologies Laboratory:
Serves in an area sized 100 m2. There are 40 computers in this laboratory, and these computers have service provider connected to the internet via the university. Various softwares in the areas of statistics, enterprise resource planning and modeling are installed on these computers. Some courses in education program such as computer programming, programming languages, enterprise resource planning, and simulation are taught in this laboratory.
3. Work Study and Human Factory Laboratory:
This laboratory is under construction. It has an area of 117 m2. In this laboratory, computational experiments will be carried out with the aim of research and education on issues such as work study and human factors. Laboratory is designed for ergonomic measurements based on ergonomic study and design.
4. Manufacturing System and Process Design Laboratory:
This laboratory is under construction. It has an area of 68 m2. In this laboratory, implementation experiments will be carried out with the aim of research and education on modeling of manufacturing systems, product and process design, design of quality systems, manufacturing planning.

Percentage of Courses Taught in English: 100%

Key Learning Outcomes

1   Having the knowledge of leadership and industrial engineering issues required at managerial level and and the ability to negotiate on these issues,
2   Having the ability and experience to get actively involved in the industrial research and development projects
3   Ability to formulate and solve engineering problems from a multidisciplinary perspective
4   Ability to use systematic project management methods for planning, executiing and evaluating projects with different scales
5   Ability to work in a group on international and interdisciplinary issues,
6   Ability to communicate orally and in written form using a foreign language
7   Ability to use computer software as well as information and communication technologies at an advanced level to solve industrial engineering problems
8   Ability to develop new strategies and generate rapid solutions by taking responsibility in the case of unforeseen and complex situations encountered during industrial engineering applications
9   Ability to consider, convey and control social, scientific and ethical values during the stages of collecting, interpreting and disseminating data related to the industrial engineering issues.
10   Being aware of the requirements for sustainable development and being ready and willing to contribute.

Occupational Profiles of Graduates with Examples

This degree enables the holder to exercise the profession in the public or private sector. Our Graduate Programs provide students with the opportunity of detailed information and expertise in various fields of Industrial Engineering. Therefore, our graduate students have employment opportunities in the positions of manager, specialist, quality assurance engineer, research and development engineer, marketing and sales manager and purchasing engineer in production and service sectors as well as having an academic career at universities:
Almost all of our graduate students have a chance to be employed in public or private sector related to their specialization areas. Nearly 80 % of our graduates are being employed in private sector institutions and 15 % in public sector.

Access to Further Studies

May apply to third cycle programmes.

Course Structure Diagram with Credits

In addition to the compulsory courses of the programme, students register to elective courses appropriate for their thesis topic, on the consent of their supervisor. If necessary, on the consent of their supervisor, they can also register to courses from other programmes (from DEU or other universities). It?s obligatory to register to MAT5001 Applied Mathematics (3 0 0) in either semester. The registration must be noticed to the Institute during course registration period by the supervisor.
T: Theoretical P: Practice L: Laboratory
B: Spring Semester G: Fall Semester H: Full Year
1 .Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 FBE 5557 SCIENTIFIC RESEARCH TECHNIQUES AND PUBLICATION ETHICS COMPULSORY 3 0 0 5
G 2 MAT 5101 APPLIED MATHEMATICS COMPULSORY 3 0 0 9
G 3 IND 5098 M.SC. RESEARCH COMPULSORY 2 0 0 3
G 0 - ELECTIVE COURSE ELECTIVE - - - 13
TOTAL:   30
 
1 .Semester Elective:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 IND 5007 MODELLING AND ANALYSIS OF MANUFACTURING SYSTEMS USING PETRI NETS ELECTIVE 3 0 0 7
G 2 IND 5047 MODELING AND ANALYSIS OF GENERALIZED ASSEMBLY LINES ELECTIVE 3 0 0 8
G 3 IND 5021 INNOVATION MANAGEMENT ELECTIVE 3 0 0 8
G 4 IND 5025 TOTAL QUALITY TECHNIQUES ELECTIVE 3 0 0 8
G 5 IND 5027 SYSTEMS SIMULATION ELECTIVE 3 0 0 8
G 6 IND 5029 ANALYSIS OF AUTOMATED MANUFACTURING SYSTEMS ELECTIVE 3 0 0 8
G 7 IND 5031 LEAN PRODUCTION SYSTEMS ELECTIVE 3 0 0 8
G 8 IND 5033 MANAGEMENT CONTROL SYSTEMS AND BUDGETING PROCESS ELECTIVE 3 0 0 8
G 9 IND 5037 REVENUE MANAGEMENT AND PRICING ELECTIVE 3 0 0 7
G 10 IND 5039 OPERATIONS PLANNING AND SCHEDULING ELECTIVE 3 0 0 7
G 11 IND 5041 APPLIED METAHEURISTICS ELECTIVE 3 0 0 7
G 12 IND 5043 SUSTAINABLE ENGINEERING ELECTIVE 3 0 0 7
G 13 IND 5045 RISK ASSESSMENT AND MANAGEMENT ELECTIVE 3 0 0 7
G 14 IND 5035 PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS ELECTIVE 3 0 0 8
G 15 IND 5051 OPTIMIZATION SOFTWARE ELECTIVE 3 0 0 8
G 16 IND 5049 MODELLING AND OPTIMIZATION OF ENERGY SYSTEMS ELECTIVE 3 0 0 8
G 17 IND 5017 DYNAMIC AND STOCHASTIC PROGRAMMING ELECTIVE 3 0 0 8
 
2 .Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 IND 5096 M.SC. SEMINAR COMPULSORY 0 2 0 3
B 0 - ELECTIVE COURSE ELECTIVE - - - 27
TOTAL:   30
 
2 .Semester Elective:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 IND 5002 ENTERPRISE MODELING AND INTEGRATION ELECTIVE 3 0 0 7
B 2 IND 5046 LOCATION THEORY ELECTIVE 3 0 0 8
B 3 IND 5006 PLANNING AND DESIGN OF SERVICE SYSTEMS ELECTIVE 3 0 0 8
B 4 IND 5012 FORECASTING AND TIME SERIES ANALYSIS FOR MANAGEMENT ELECTIVE 3 0 0 8
B 5 IND 5016 MAINTENANCE, REPLACEMENT AND RELIABILITY ELECTIVE 3 0 0 8
B 6 IND 5018 MULTIOBJECTIVE AND MULTICRITERIA PROGRAMMING ELECTIVE 3 0 0 8
B 7 IND 5022 ADVANCE ENGINEERING MANAGEMENT ELECTIVE 3 0 0 8
B 8 IND 5024 CONSTRAINT PROGRAMMING ELECTIVE 3 0 0 8
B 9 IND 5026 FACILITIES PLANNING AND DESIGN ELECTIVE 3 0 0 8
B 10 IND 5028 HUMAN FACTOR ENGINEERING ELECTIVE 3 0 0 8
B 11 IND 5030 TRANSPORTATION AND SUPPLY CHAIN SYSTEMS ELECTIVE 3 0 0 8
B 12 IND 5032 RESPONSE SURFACE METHODOLOGY AND APPLICATIONS IN ENGINEERING ELECTIVE 3 0 0 8
B 13 IND 5038 COMPUTATIONAL INTELLIGENCE IN DESIGN AND MANUFACTURING ELECTIVE 3 0 0 7
B 14 IND 5034 SIMULATION OF MANUFACTURING SYSTEMS ELECTIVE 3 0 0 8
B 15 IND 5036 FUNDAMENTALS OF OPTIMIZATION ELECTIVE 3 0 0 7
B 16 IND 5042 COMPUTATIONAL LOGISTICS ELECTIVE 3 0 0 5
B 17 IND 5048 DECISION MODELS FOR CIRCULAR ECONOMY ELECTIVE 3 0 0 8
B 18 IND 5004 INVENTORY SYSTEMS ANALYSIS ELECTIVE 3 0 0 9
 
3.Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 IND 5099 M.SC. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 
4.Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 IND 5099 M.SC. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylul University Regulations of Graduate Education and Exams and related items of Institute of Natural and Applied Sciences Regulations of Education and Code of Practicing Exams are applied for the exams and course grades.
The course evaluation criteria are defined for each course by the instructor(s) of the corresponding course and are given in the Course Description Form found in the information package.

Graduation Requirements

Second Cycle (Master's Degree) Programme with thesis is comprised of courses (at least 54 ECTS), a seminar (3 ECTS), M. Sc. Research (3 ECTS) and M. Sc. Thesis (60 ECTS), in total 120 ECTS credits. Students must have minimum Cumulative Grade Point Average (CGPA) of 2.50 / 4.00 and completed all the courses with at least CB / S / TP grades.

Mode of Study (Full-Time, Part-Time, E-Learning )

Full-time

Programme Director or Equivalent

Prof. Dr. Adil BAYKASOĞLU
Department of Industrial Engineering Dokuz Eylül University,
Tınaztepe Campus 35160 Buca, İzmir, Turkey
Phone: 232 301 76 00
E-mail adil.baykasoglu@deu.edu.tr