FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 222 | Course Introduction and Application Information

Course Name
Production Systems Analysis
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 222
Spring
3
0
3
5

Prerequisites
  IE 251 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives To teach students how to analyze a variety of production systems with a systems perspective.
Learning Outcomes The students who succeeded in this course;
  • Will be able to differentiate between various types of production systems
  • Will be able to apply principles and methods of forecasting in production systems
  • Will be able to apply basic project management techniques
  • Will be able apply basic knowledge and methods of facility layout and location to finding best layout and location of production systems
Course Description This course introduces production systems to the students. Specifically, it deals with high level design of production system. Before any detailed work on production systems can be done, one needs to understand the design of such systems with a system review, paying special attention to the relationships between parts and management of design of production systems.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Instructor Introduction; Strategy and Competition and Production Systems Course Book Chapter 1
2 Forecasting Course Book Chapter 1
3 Forecasting + Homework 1 Course Book Chapter 2
4 Forecasting + Quiz 1 Course Book Chapter 2
5 Aggregate Planning Course Book Chapter 3
6 Aggregate Planning + Homework 2 Course Book Chapter 3
7 Aggregate Planning + Quiz 2 Course Book Chapter 3
8 Problem Solving Section + Midterm
9 Inventory Planning subject to Known Demand Course Book Chapter 4
10 Inventory Planning subject to Known Demand + Quiz 3 Course Book Chapter 4
11 Inventory Planning subject to Unknown Demand Course Book Chapter 5
12 Inventory Planning subject to Unknown Demand + Quiz 4 + Homework 3 Course Book Chapter 5
13 Course Overview + Quiz 5
14 Problem Solving Section + Course Overview
15 Review of the Semester
16 Review of the Semester

 

Course Notes/Textbooks Production and Operations Analysis, 6th ed., Steven Nahmias, McGrawHill / Irwin.
Suggested Readings/Materials Lecture notes

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
4
25
Portfolio
Homework / Assignments
3
15
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
20
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
8
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
4
56
Field Work
0
Quizzes / Studio Critiques
4
1
4
Portfolio
0
Homework / Assignments
3
4
12
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
15
15
Final Exam
1
15
15
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions

8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

X
12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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