Scheduling (IE434) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Scheduling IE434 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Upon successful completion of this course, the student will be able to conceptualize the overall scheduling process, its prerequisites, its integration with computer systems and other production management systems especially in shop scheduling and have both the analytical thinking skills and practical tools to solve related scheduling problems.
Course Learning Outcomes The students who succeeded in this course;
  • Students will be able to clearly define what is scheduling activity and its importance, and to demonstrate the top-down relation of different levels of scheduling.
  • Students will be able to define the performance criteria/criterion for a schedule and devise measures for evaluation.
  • Students will be able to define and identify problems and their solution techniques/tools for effective master and job shop scheduling process in real life situations.
  • Students will be able to develop practical models that will improve shop level scheduling process.
Course Content Scheduling and sequencing problems, basic formulation, single processor, multi processor scheduling procedures and heuristics.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to and levels of Scheduling tasks in a manufacturing company
2 Prerequisites for effective scheduling activity and contribution of key topics to scheduling process.
3 Prerequisites for effective scheduling activity and contribution of key topics to scheduling process.
4 Master Scheduling and detail Parts Flow - Work Center Scheduling
5 Master Scheduling and detail Parts Flow - Work Center Scheduling
6 Master Scheduling and detail Parts Flow - Work Center Scheduling
7 Master Scheduling and detail Parts Flow - Work Center Scheduling
8 Master Scheduling and detail Parts Flow - Work Center Scheduling
9 Master Scheduling and detail Parts Flow - Work Center Scheduling
10 Master Scheduling and detail Parts Flow - Work Center Scheduling
11 Master Scheduling and detail Parts Flow - Work Center Scheduling
12 Midterm
13 A Practical Machine Loading Method for small or medium size companies
14 Presentations and discussions on term projects.
15 Review and evaluation of the topics covered within the course.
16 Final Exam


Course Book 1. Michael L. Pinedo, Scheduling Theory, Algorithms, and Systems (5th edition), Springer, 2016
Other Sources 2. Nahmias, S., Production and Operations Analysis, 5th edition, Irwin McGraw-Hill, 2005.
4. Mike Rother and John Shook, Learning to See: Value Stream Mapping to add value and eliminate muda, version 1.1, The Lean Enterprise Institute, 1998.
5. Michael L. Pinedo, Planning and Scheduling in Manufacturing and Services (2nd edition) Springer, 2009
6. J. Thomas Shields, The Lean Aircraft Initiative Report Series #RP96-06-61: Factory Flow Benchmarking Report, Massachusetts Institute of Technology, 1996.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 10
Presentation 1 25
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 35
Toplam 5 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquires sufficient knowledge in mathematics, natural sciences, and related engineering disciplines; gains the ability to use theoretical and applied knowledge in these fields in solving complex engineering problems.
2 Gains the ability to identify, define, formulate, and solve complex engineering problems; acquires the skill to select and apply appropriate analysis and modeling methods for this purpose. X
3 Gains the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions, and applies modern design methods for this purpose.
4 Develops the skills to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; gains the ability to effectively use information technologies. X
5 Gains the ability to design experiments, conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. X
6 Acquires the ability to work effectively in intra-disciplinary and multidisciplinary teams, as well as individual work skills.
7 Acquires effective oral and written communication skills in Turkish; at least one foreign language proficiency; gains the ability to write effective reports, understand written reports, prepare design and production reports, make effective presentations, and give and receive clear instructions.
8 Develops awareness of the necessity of lifelong learning; gains the ability to access information, follow developments in science and technology, and continuously renew oneself.
9 Acquires the consciousness of adhering to ethical principles, and gains professional and ethical responsibility awareness. Gains knowledge about the standards used in industrial engineering applications.
10 Gains knowledge about practices in the business life such as project management, risk management, and change management. Develops awareness about entrepreneurship and innovation. Gains knowledge about sustainable development.
11 Gains knowledge about the universal and social dimensions of the impacts of industrial engineering applications on health, environment, and safety, as well as the problems reflected in the engineering field of the era. Gains awareness of the legal consequences of engineering solutions.
12 Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy.
13 Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring system integration.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 20 20
Homework Assignments 2 5 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 5 5
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 125