FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 315 | 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 252 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery Online
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Lecture / 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.

 



Course Category

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 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 General Course Review
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 Exams
Midterm
1
30
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
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
14
2
28
Field Work
0
Quizzes / Studio Critiques
4
6
24
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
30
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 Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary 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 contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign 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 Industrial Engineering.

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

 


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