ECTS - Scheduling
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) |
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N/A |
Course Language | English |
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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 Lecturer(s) |
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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;
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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 |
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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 |
Sources
Course Book | 1. Michael L. Pinedo, Scheduling Theory, Algorithms, and Systems (5th edition), Springer, 2016 |
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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 |
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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 |
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Percentage of Final Work | 35 |
Total | 100 |
Course Category
Core Courses | |
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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 |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | 1 | 20 | 20 |
Report | |||
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 |