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.	1.5				X
LO2	Use solution methods for the flow shop scheduling problem	1.5				X
LO3	Use solution methods for the parallel machine scheduling problem	1.5			X
LO4	Use solution methods for the special machine scheduling problem	1.5		X
LO5	Describe applications in practice	1.6		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

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics		LO4	LO3	LO1 LO2
	6	The ability to apply this knowledge to solve complex engineering problems		LO5
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.