GRADUATE SCHOOL
M.SC. in Computer Engineering (With Thesis)
IE 532 | Course Introduction and Application Information
| Course Name |
Advanced Scheduling Systems
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|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
IE 532
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
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| Course Language |
English
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| Course Type |
Elective
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| Course Level |
Second Cycle
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | The purpose of the course is to introduce students to a broad range of scheduling problems that arise in both manufacturing and service organizations, and to teach scheduling techniques, starting from basic principles, and leading to algorithms and computerized scheduling systems. The topics include machine scheduling and job shop scheduling, flexible assembly systems, interval scheduling, and workforce scheduling. The emphasis will be on systems design and implementation. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Deterministic machine scheduling problems: single stage, open shop, flow shop, and job shop problems with single and parallel machines. Dynamic scheduling problems and priority dispatching. A survey of other scheduling problems. Applications in manufacturing systems. |
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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 | Introduction to sequencing and scheduling problems | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 1; Planning and Scheduling in Manufacturing and Services, M. L. Pinedo, Springer, 2005, Chapter 1 |
| 2 | Deterministic models: classification/notation | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 2; Planning and Scheduling in Manufacturing and Services, M. L. Pinedo, Springer, 2005, Chapter 2,3 |
| 3 | Modeling and solution methods | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Appendix A, B.1; Planning and Scheduling in Manufacturing and Services, M. L. Pinedo, Springer, 2005, Appendix A, B, C |
| 4 | Single machine models | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 3 |
| 5 | Single machine models | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 3 |
| 6 | Parallel machine models | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 5 |
| 7 | Parallel machine models | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 5 |
| 8 | Midterm | |
| 9 | Flow shops | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 6 |
| 10 | Job shops | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 7 |
| 11 | Open shops | Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 4e, 2012, Chapter 8 |
| 12 | Scheduling applications and project presentations | |
| 13 | Scheduling applications and project presentations | |
| 14 | Scheduling applications and project presentations | |
| 15 | Review of the semester | |
| 16 | Final Exam |
| Course Notes/Textbooks | Pinedo, M., Scheduling: Theory, Algorithms and Systems, Springer, 4e, 2012; Pinedo, M., Planning and Scheduling in Manufacturing and Services, Springer, 2005. |
| Suggested Readings/Materials | Related Research Papers |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury |
1
|
15
|
| Project |
1
|
25
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| 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 |
|---|---|---|---|
| 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 |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
1
|
12
|
12
|
| Project |
1
|
40
|
40
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
30
|
30
|
| Final Exam |
1
|
35
|
35
|
| Total |
225
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
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#
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Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
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| 1 | Accesses information in breadth and depth by conducting scientific research in Computer Engineering; evaluates, interprets and applies information. |
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| 2 | Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations. | |||||
| 3 | Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines. |
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| 4 | Is informed about new and upcoming applications in the field and learns them whenever necessary. | |||||
| 5 | Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions. |
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| 6 | Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs | |||||
| 7 | Designs and implements studies based on theory, experiments and modelling; analyses and resolves the complex problems that arise in this process. |
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| 8 | Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility. |
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| 9 | Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. |
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| 10 | Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
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| 11 | Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications. |
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| 12 | Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest