Sequencing and Scheduling
Industrial Engineering
Institute of Natural and Applied Sciences
Third Cycle (Doctorate Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Sequencing and Scheduling | MEN611 | Elective | Doctorate degree | 1 | Fall | 8 |
Name of Lecturer(s)
Associate Prof. Dr. Gülşen AYDIN KESKİN
Assistant Prof. Dr. Hatice ESEN
Learning Outcomes of the Course Unit
1) Distinguishing the general scheduling problems
2) Solving the single machine scheduling problems
3) Scheduling the jobs at parallel machines
4) Modelling Flow Shop Scheduling problems
5) Modelling Job Shop Scheduling problems
6) Explaining heuristic techniques for machine scheduling and loading
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||
| 1 | 2 | 3 | 4 | 5 | ||
| Learning Outcomes | ||||||
| 1 | Middle | Middle | Low | Middle | No relation | |
| 2 | High | High | Middle | High | No relation | |
| 3 | High | High | Middle | High | No relation | |
| 4 | High | High | High | High | No relation | |
| 5 | High | High | High | High | No relation | |
| 6 | Middle | Middle | Low | Middle | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
None
Course Contents
In this lecture, candidates are provided with in-depth knowledge on determining the classical scheduling problems, evaluating the optimality of scheduling, single and multi machine scheduling problems, their features and solution methods, deterministic scheduling problems, scheduling applications at production systems and heuristic methods used at scheduling.
Weekly Schedule
1) Production Planning Functions, Production Schedule and Routing2) Machine Loading (Assignment Method)
3) Machine Loading (Capacity Based Work Loading, Branch and Bound Algorithm, Linear Programming Approach)
4) Basic Sequencing and Scheduling Concepts, Formulations
5) Gantt Diagram Usage, n job-1 machine Job Scheduling Problems
6) n job-1 machine Job Scheduling Problems
7) Job Sequencing (Parallel Machine Usage)
8) Job Sequencing (Parallel Machine Usage)
9) Midterm Exam
10) Job Sequencing (Flow Shop Problems)
11) Job Sequencing (Flow Shop Problems)
12) Job Shop Scheduling
13) Job Shop Scheduling
14) Presentation of Semester Projects
15) Presentation of Semester Projects
16) Final Exam
Recommended or Required Reading
1- Pinedo, Michael L., Scheduling: Theory, Algorithms, and Systems, Springer, 2012
2- Kenneth R. Baker, Dan Trietsch, Principles of Sequencing and Scheduling Wiley, 2009
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Group Study
6) Problem Solving
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
50% |
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Contribution of Final Examination to Course Grade |
50% |
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Total | 100% | ||||||||||||||
Language of Instruction
Other
Work Placement(s)
Not Required