Information Package / Course Catalogue
| Industrial Engineering | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Engineering | ||||
| Course Code | IE 439 | ||||
| Course Title in English | Machine Scheduling | ||||
| Course Title in Turkish | Makine Çizelgelemesi | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Introductory | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 148 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
IE 202 - Operations Research I IE 104 - Computational Methods for IE |
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| Expected Prior Knowledge | None | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only undergraduate students | ||||
| Overall Educational Objective | To acquire knowledge and skills to analyze, design, and implement efficient scheduling algorithms to optimize resource utilization and minimize production makespan in various industrial settings. | ||||
| Course Description | This course introduces students to fundamental scheduling problems, their complexity, and algorithmic approaches to solve them. Through theoretical discussions, practical examples, and hands-on exercises, students will gain a comprehensive understanding of scheduling challenges and strategies to address them. | ||||
| Course Description in Turkish | Bu ders, öğrencilere temel çizelgeleme problemlerini, bunların karmaşıklığını ve bunları çözmek için algoritmik yaklaşımları tanıtır. Teorik tartışmalar, pratik örnekler ve uygulamalı alıştırmalar yoluyla öğrenciler, planlama zorlukları ve bunları ele almak için stratejiler hakkında kapsamlı bir anlayış kazanacaklardır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) identify and classify machine scheduling problems, their characteristics and complexities, 2) analyze and evaluate classic scheduling algorithms and heuristics, 3) design and develop effective strategies to optimize machine schedules, 4) apply scheduling theory to real-life cases. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ||||
| 2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ||||
| 3) An ability to communicate effectively with a range of audiences | ||||
| 4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ||||
| 5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ||||
| 6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ||||
| 7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | H | Exam,Project |
| 2) | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | H | Exam,Project |
| 3) | An ability to communicate effectively with a range of audiences | N | |
| 4) | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | N | |
| 5) | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | N | |
| 6) | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | N | |
| 7) | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. | N |
| Prepared by and Date | UTKU KOÇ , December 2023 |
| Course Coordinator | UTKU KOÇ |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. UTKU KOÇ |
Course Contents
| Week | Subject |
| 1) | Introduction, Framework and Concepts |
| 2) | Classes of Schedules and Complexity Single Machine Scheduling (deterministic) |
| 3) | Single Machine Scheduling (deterministic) |
| 4) | Single Machine Scheduling (deterministic) |
| 5) | Parallel Machine Scheduling (deterministic) |
| 6) | Parallel Machine Scheduling (deterministic) |
| 7) | Flow Shops Scheduling (deterministic) |
| 8) | Flow Shops Scheduling (deterministic) |
| 9) | Job Shops Scheduling (deterministic) |
| 10) | Job Shops Scheduling (deterministic) |
| 11) | Open Shop Scheduling (deterministic) |
| 12) | Stochastic Model Preliminaries |
| 13) | Scheduling in Practice |
| 14) | Review and Conclusion |
| 15) | Final Exam/Project/Presentation Period |
| 16) | Final Exam/Project/Presentation Period |
| Required/Recommended Readings | Required: ● Michael L. Pinedo, “Scheduling: Theory, Algorithms, and Systems” 5th edition, Springer | ||||||
| Teaching Methods | |||||||
| Homework and Projects | |||||||
| Laboratory Work | |||||||
| Computer Use | Students are expected to use computer programs for the course project. | ||||||
| Other Activities | |||||||
| Assessment Methods |
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| Course Administration |
kocu@mef.edu.tr Course Instructor: Asst. Prof. Utku Koç, email: kocu@mef.edu.tr, office: A519 Course Teaching Assistant: TBA Lecture time and place: Tuesday 10:00 – 13:00 / Office hours: TBA Pre-lecture videos: Attendance/participation: According to Law on Higher Education Arti. 54, students are required to attend at least 70% of the lectures. Students are expected to prepare for the lecture via pre-lecture videos and reading materials and attend the lectures. Formal use of e-mails: The course instructor assumes that any information sent through email will be received in 24 hours, unless a system problem occurs. Project: A term project will be assigned. Students are required to get at least 50 / 100 from the project in order to pass. Inappropriate conduct, academic dishonesty and plagiarism are subject to YÖK Disciplinary Regulation. |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 3 | 1 | 84 | ||
| Project | 1 | 50 | 2 | 52 | |||
| Quiz(zes) | 4 | 2 | 1 | 12 | |||
| Total Workload | 148 | ||||||
| Total Workload/25 | 5.9 | ||||||
| ECTS | 6 | ||||||