Course Name Code Semester T+U Hours Credit ECTS
Case Study Applications In Industrial Engineering ENM 548 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi ALPARSLAN SERHAT DEMİR
Course Lecturers Dr.Öğr.Üyesi ALPARSLAN SERHAT DEMİR,
Course Assistants
Course Category Field Proper Education
Course Objective

Working engineers, graduates in academic career and technical specialists are informed about advanced industrial engineering problems in the industry and gain experience in applying and raising awareness.

Course Content

Methodology Applications in Industrial Engineering and Operations Research to real life engineering problems in Enterprise, Industry and Public operations. The course will cover proble analysis and definitions, system planning, model development and validation and solution techniques. Students will be evaluated and involved in the course through Project assignments.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Systematically approaching a general set of problems that may be encountered in the field of Industrial Engineering and obtaining solutions by various solution techniques. Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
2 Identification of advanced industrial engineering problems and modeling with solution techniques. Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, Testing, Homework,
3 Effective use and manageability of resources. Lecture, Drilland Practice, Case Study, Problem Solving, Testing, Homework,
4 Choosing the most suitable alternatives. Lecture, Question-Answer, Discussion, Drilland Practice, Brain Storming, Case Study, Testing, Homework,
5 Manage advanced strategic, tactical and operational decision making processes. Lecture, Drilland Practice, Case Study, Homework,
6 To be able to prepare academic studies in the field of advanced industrial engineering problems. Lecture, Question-Answer, Case Study, Homework,
Week Course Topics Preliminary Preparation
1 An overview of case studies, types, industrial engineering practices and areas of activity. Lecture Notes
2 System Approach: Basic definitions, System approach steps Lecture Notes
3 System Approach Case Study Lecture Notes
4 Facility Layout: Classical and Advanced techniques Lecture Notes
5 Case Study Application Lecture Notes
6 Forecasting: Basic definitions, classical and advanced techniques Lecture Notes
7 Forecasting: Case Study Lecture Notes
8 General Review: Sample Problem Solutions Lecture Notes
9 Midterm Exam
10 Inventory Management: Basic definitions, classical and advanced control techniques Lecture Notes
11 Inventory Management: Case Study Lecture Notes
12 Assignment Problem: Basic definitions, classical and advanced solution techniques Lecture Notes
13 Assignment Problem Case Study Lecture Notes
14 General Review: Sample Problem Solutions Lecture Notes
Course Notes <p>Course notes can be accessed via SABİS.</p>
Course Resources

Gorod, A., et al.,” Case Studies in System of Systems, Enterprise Systems, and Complex Systems Engineering (Complex and Enterprise Systems Engineering)”, 2015


Cumberbatch,E.,“Mathematical Modeling: Case Studies from Industry”,2001

Martinich, J, ,”Production and Operations Management: An Applied Modern Approach”,1997

Lecture Notes.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information. X
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines.
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions.
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs.
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process.
6 Identify the information and data needed, reach them and evaluate them at an advanced level.
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility.
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field.
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits.
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary.
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment.
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
Evaluation System
Semester Studies Contribution Rate
1. Ödev 50
1. Ara Sınav 50
Total 100
1. Final 60
1. Yıl İçinin Başarıya 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 2 15 30
Final examination 1 20 20
Total Workload 161
Total Workload / 25 (Hours) 6.44
dersAKTSKredisi 6