COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Sequencing and Scheduling
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 315
Fall/Spring
3
0
3
6
Prerequisites
 IE 252To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Lecturing / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The purpose of this highly quantitative 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;
  • recognize different production systems and scheduling techniques suitable for these systems
  • use methods and techniques that are available for building scheduling systems in different manufacturing systems
  • develop mathematical models for dealing with scheduling problems
  • use the software packages developed to solve scheduling problems
  • describe applications in practice
Course Description 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.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
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. Introduction to Sequencing and Scheduling. 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 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
4 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
5 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
6 LEKIN, Review
7 Midterm
8 Flow Shop Problems Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 6
9 Flow Shop Problems Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 6
10 Parallel Machine Problems 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
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 Open Shops. Reservation Systems Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 8
13 Project Presentations
14 Project presentations
15 Review of the Semester
16 Final Exam
Course Notes/Textbooks
Suggested Readings/Materials

Pinedo, M., Planning and Scheduling in Manufacturing and Services, Springer, 2005

 

Pinedo, M., Scheduling: Theory, Algorithms and Systems, Springer, 3e, 2008

 

Production Planning and Industrial Scheduling, D. R. Sule, CRC Press, 2008

 

Instructor notes and lecture slides.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
4
20
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
15
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
7
65
Weighting of End-of-Semester Activities on the Final Grade
1
35
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
14
2
28
Field Work
Quizzes / Studio Critiques
4
6
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exam
Midterms
1
30
Final Exams
1
30
    Total
180

 

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