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	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
Course Level	First Cycle
Mode of Delivery	Face to face
Teaching Methods and Techniques of the Course	Group Work Problem Solving Lecture / Presentation
National Occupational Classification Code	-
Course Coordinator	Prof. Dr. Selin Özpeynirci
Course Lecturer(s)	Dr. Öğr. Üyesi Arya Misiç
Assistant(s)	Araş. Gör. Onat Düzgün

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;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Use solution methods for the single machine scheduling problem.					X
LO2	Use solution methods for the flow shop scheduling problem					X
LO3	Use solution methods for the parallel machine scheduling problem				X
LO4	Use solution methods for the special machine scheduling problem			X
LO5	Describe applications in practice			X

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	X
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
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	LO5
2	Notation, Dispatching Rules	Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Chapter 2,3; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 2, 14	LO1
3	Single Machine Scheduling	Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 3,4	LO1
4	Single Machine Scheduling	Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 3,4	LO1
5	Single Machine Scheduling	Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 3,4	LO1
6	Single Machine Scheduling	Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 3,4	LO1
7	Flow Shop Problems	Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 6	LO2
8	Midterm Exam		-
9	Parallel Machine Problems	Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 5,6	LO3
10	Parallel Machine Problems	Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 5,6	LO3
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	LO4
12	Open Shops. Reservation Systems	Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 8	LO4
13	Project Presentations		LO5
14	Project Presentations		LO5
15	General Course Review		-
16	Final Exam		-

Course Notes/Textbooks	-
Suggested Readings/Materials	-

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5
Quizzes / Studio Critiques	4	20	X	X	X	X	X
Project	1	15					X
Midterm	1	30	X				X
Final Exam	1	35		X	X	X
Total	7	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	3	48
Laboratory / Application Hours	-	-	-
Study Hours Out of Class	14	2	28
Field Work	-	-	-
Quizzes / Studio Critiques	4	5	20
Portfolio	-	-	-
Homework / Assignments	-	-	-
Presentation / Jury	-	-	-
Project	1	24	24
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	30	30
Final Exam	1	30	30
		Total	180