11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


ce.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
 ISE 203To succeed (To get a grade of at least DD)
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Will be able to use methods and techniques that are available for building scheduling systems in different manufacturing systems
  • Will be able to develop mathematical models for dealing with scheduling problems
  • Will be able to analyze the results of software packages that are designed to solve scheduling problems
  • Will be able to describe applications in practice
Course Description

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to the course Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 1; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 1
2 Notation, Dispatching Rules Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Chapters 2,3; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 2, 14
3 Mathematical Programming, Branch and Bound Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, App A; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, App A
4 Kurban Bayramı
5 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
6 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
7 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
8 Midterm
9 Scheduling of Flexible Assembly Systems Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 6
10 Scheduling of Flexible Assembly Systems Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 6
11 Job Shop Scheduling Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 5; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 7
12 Job Shop Scheduling Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 5; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 7
13 Workforce Scheduling Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 12
14 Project presentations
15 Review
16 Review of the Semester  
Course Notes/Textbooks Production Planning and Industrial Scheduling, D. R. Sule, CRC Press, 2008
Suggested Readings/Materials Principles of Sequencing and Scheduling, K. Baker and D. Trietsch, Wiley, 2007 Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
15
Laboratory / Application
Field Work
Quizzes / Studio Critiques
3
15
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
15
Seminar / Workshop
Oral Exam
Midterm
1
25
Final Exam
1
30
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
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
2
Field Work
Quizzes / Studio Critiques
3
2
Portfolio
Homework / Assignments
3
Presentation / Jury
Project
1
5
Seminar / Workshop
Oral Exam
Midterms
1
10
Final Exams
1
15
    Total
114

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

Adequate knowledge in Mathematics, Science and Computer Engineering; ability to use theoretical and applied information in these areas to model and solve Computer Engineering problems

X
2

Ability to identify, define, formulate, and solve complex Computer Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose

X
3

Ability to design a complex computer based system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose

X
4

Ability to devise, select, and use modern techniques and tools needed for Computer Engineering practice

X
5

Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Computer Engineering problems

X
6

Ability to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; ability to work individually

7

Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages

8

Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself

9

Awareness of professional and ethical responsibility

10

Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development

11

Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Computer Engineering solutions

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

 

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