Scheduling (IE434) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Scheduling IE434 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
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 An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems.
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods. X
3 An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design.
4 An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively. X
5 An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics. X
6 An ability to work individually, on teams, and/or on multidisciplinary teams.
7 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction.
8 A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology.
9 An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications.
10 Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement.
11 Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions.
12 An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy.
13 Knowlede on appropriate analytical, computational and experimental methods to provide 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