GRADUATE SCHOOL
M.SC. In Industrial Engineering (With Thesis)
IE 532 | Course Introduction and Application Information
| Course Name |
Advanced Scheduling Systems
|
|
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 |
X
|
|
| 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
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To have an appropriate knowledge of methodological and practical elements of the basic sciences and to be able to apply this knowledge in order to describe engineering-related problems in the context of industrial systems. |
X | ||||
| 2 | To be able to identify, formulate and solve Industrial Engineering-related problems by using state-of-the-art methods, techniques and equipment. |
X | ||||
| 3 | To be able to use techniques and tools for analyzing and designing industrial systems with a commitment to quality. |
X | ||||
| 4 | To be able to conduct basic research and write and publish articles in related conferences and journals. |
X | ||||
| 5 | To be able to carry out tests to measure the performance of industrial systems, analyze and interpret the subsequent results. |
X | ||||
| 6 | To be able to manage decision-making processes in industrial systems. |
X | ||||
| 7 | To have an aptitude for life-long learning; to be aware of new and upcoming applications in the field and to be able to learn them whenever necessary. |
X | ||||
| 8 | To have the scientific and ethical values within the society in the collection, interpretation, dissemination, containment and use of the necessary technologies related to Industrial Engineering. |
X | ||||
| 9 | To be able to design and implement studies based on theory, experiments and modeling; to be able to analyze and resolve the complex problems that arise in this process; to be able to prepare an original thesis that comply with Industrial Engineering criteria. |
X | ||||
| 10 | To be able to follow information about Industrial Engineering in a foreign language; to be able to present the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest