Scheduling

Course Code:

ISE 367

Course Type:

Area Elective

Credits:

3

Theoric:

3

Practice:

0

Laboratory Hour:

0

ECTS:

5

Prerequisite Courses:

Production Systems Design

Course Language:

English

Course Objectives:

The aim of this course is to provide students with knowledge and abilities to solve a scheduling problem.

Course Content:

Single Machine Scheduling Problems, Parallel Machine Scheduling Problems, Open Shop Scheduling Problems, Flow Shop Scheduling Problems, Job Shop Scheduling Problems.

Course Methodology:

1: Lecture, 2: Question-Answer

Course Evaluation Methods:

A: Testing, D: Project

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Course Learning Outcomes

Course Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
1) Adequate knowledge in scheduling theory	1,2	1,2	A,D
2) Ability to identify a scheduling problem.	2,3,7	1,2	A,D
3) Ability to determine the correct solution method for scheduling problems.	3,5	1,2	A
4) Ability to solve a scheduling problem.	3,5	1	A

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to Scheduling	Textbook
2	Deterministic Models: Preliminaries	Textbook
3	Single Machine Models	Textbook
4	Single Machine Models/ Parallel Machine Models	Textbook
5	Parallel Machine Models	Textbook
6	Parallel Machine Models/ Flow Shop Scheduling	Textbook
7	MIDTERM EXAM I	Textbook
8	Deterministic Flow Shops and Flexible Flow Shops	Textbook
9	Deterministic Flow Shops and Flexible Flow Shops	Textbook
10	Open Shop Scheduling	Textbook
11	MIDTERM EXAM II	Textbook
12	Job Shop Scheduling	Textbook
13	Job Shop Scheduling	Textbook
14	Job Shop Scheduling	Textbook

Recommended Sources

RECOMMENDED SOURCES

Textbook

“Scheduling: Theory, Algorithms, and Systems”, Michael Pinedo, Any edition.

Additional Resources

1. “Principles of Sequencing and Scheduling”, Kenneth R. Baker and Dan Trietsch

2.“Sequencing and Scheduling: An Introduction to the Mathematics of the Job-shop (Mathematics and Its Applications)”, Simon French

3. “Theory of Scheduling”, Richard W. Conway, William L. Maxwell and Louis W. Miller

4.“Planning and Scheduling in Manufacturing and Services”, Michael Pinedo

5.“Scheduling Algorithms”, Peter Brucker

6. “Introduction to Scheduling”, Yves Robert and Frederic Vivien

7. “Production Planning and Industrial Scheduling: Examples, Case Studies and Applications”, Second Edition, D. R. Sule

Material Sharing

MATERIAL SHARING
Documents
Assignments
Exams

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-terms	2	50
Assignment
Lab Work
Term Project	1	50
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		40
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		60
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	Adequate background in Mathematics, Natural Sciences and the Industrial and Systems Engineering discipline.					X
2	Ability to identify, model and solve complex problems in the area of Industrial and Systems Engineering.					x
3	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired requirements.					X
4	Ability to employ information technologies effectively in Industrial and Systems Engineering applications and develop and/or use modern techniques and tools for these applications.
5	Ability to design and conduct experiments and interpret results to analyze problems in the area of Industrial and Systems Engineering.				x
6	Ability to take responsibility both individually and as a team member to solve unforeseen problems that arise in intra-disciplinary and inter-disciplinary projects.
7	Ability to access information in the area of Industrial and Systems Engineering and to report and communicate this information to others using a foreign language (English) at the European Language Portfolio C1 General Level.				x
8	Ability to follow current issues and recent developments in science and technology by accessing databases and other sources of information and to continue to educate oneself.
9	Awareness of scientific and ethical responsibility in professional matters.
10	Ability to initiate innovative projects in the area of Industrial and Systems Engineering and to manage these projects considering all aspects.
11	Ability to identify the impact of Industrial and Systems Engineering applications on health, environment and safety; awareness of the legal consequences of Industrial and Systems Engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration	14,Any edition.	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Midterm examination preparations	2	5	10
Homework
Project	1	30	30
Final examination	1	10	10
Total Work Load			134
Total Work Load / 25 (h)			5.36
ECTS Credit of the Course			5

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