FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 312 | Course Introduction and Application Information

Course Name
Manufacturing Dynamics and Control
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 312
Fall/Spring
3
0
3
6

Prerequisites
  IE 353 To succeed (To get a grade of at least DD)
and IE 324 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Service Course
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives The course aims at an understanding of manufacturing dynamics, which is of importance when designing and controlling manufacturing systems.
Learning Outcomes The students who succeeded in this course;
  • Will be able to explain manufacturing dynamics
  • Will be able to define the concepts necessary for manufacturing systems design and control
  • Will be able to explain the interaction between quantities such as throughput, capacity, work in progress and utilization
  • Will be able to explain the effect of variability on manufacturing systems
  • Will be able to perform performance analysis of manufacturing systems
Course Description The course aims at an understanding of manufacturing dynamics, which is of importance when designing and controlling manufacturing systems. Interaction between quantities such as throughput, capacity, work in progress, utilization will be expounded. The effect of variability on such systems will be discussed in detail and quantified using queueing models. Push and Pull approaches to production control will be contrasted and their effects on the performance will be quantified.

 



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 Historical Perspective Ch 0-1 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
2 MRP, MRP II and ERP Ch 3 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
3 JIT Paradigm Ch 4-5 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
4 Basic Factory Dynamics Ch 6-7W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
5 Basic Factory Dynamics Ch 6-7 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
6 Variability Basics Ch 8 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
7 Review and Midterm Exam
8 Performance and Variability Ch 9 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
9 Push and Pull Systems Ch 10 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
10 Push and Pull Systems Ch 10 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
11 A Pull Planning Framework Ch 13 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
12 A Pull Planning Framework Ch 13 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
13 A Pull Planning Framework Ch 13 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
14 Shop Floor Control Ch 14-15 W. Hopp , M. Spearmans, Factory Physics, Wiley, 2007.
15 General review and evaluation
16 Review of the Semester  

 

Course Notes/Textbooks W. Hopp, M. Spearmans, Factory Physics, Wiley, 2007.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
5
Laboratory / Application
Field Work
Quizzes / Studio Critiques
1
15
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
10
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
70
Weighting of End-of-Semester Activities on the Final Grade
30
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
15
4
60
Field Work
0
Quizzes / Studio Critiques
1
0
Portfolio
0
Homework / Assignments
3
7
21
Presentation / Jury
0
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
8
8
Final Exam
1
13
13
    Total
170

 

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.

X
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.

X
6

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

X
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

X
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.

X
9

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

X
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.

X
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.

X
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.

X

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

 


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