FACULTY OF ENGINEERING

Department of Computer 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
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 Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary 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 global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language 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 Computer Engineering.

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

 


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