| School/Faculty/Institute |
Faculty of Engineering |
| Course Code |
IE 208 |
| Course Title in English |
Operations and Facilities Design |
| Course Title in Turkish |
Operasyon ve Tesis Tasarımı |
| Language of Instruction |
EN |
| Type of Course |
Flipped Classroom |
| Level of Course |
Intermediate |
| Semester |
Spring |
| Contact Hours per Week |
| Lecture: 3 |
Recitation: None |
Lab: None |
Other: None |
|
| Estimated Student Workload |
128 hours per semester |
| Number of Credits |
5 ECTS |
| Grading Mode |
Standard Letter Grade
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| Pre-requisites |
|
| Co-requisites |
IE 202 - Operations Research I
|
| Expected Prior Knowledge |
None |
| Registration Restrictions |
Only Undergraduate Students |
| Overall Educational Objective |
To learn basic methods for facility layout and facility planning problems |
| Course Description |
Facilities design and planning is the process of laying out and locating new manufacturing and service facilities, and revising or improving old facilities with respect to constraints on resources such as space and budget. This course addresses both facility layout and facility location problems. As a part of the first problem (layout procedures), the arrangement of departments within a manufacturing or service facility is considered. Moreover, the student is expected to learn and understand the theory, application methods and important techniques which are required to model, analyze and propose location for a single or multiple facilities. |
Course Learning Outcomes and Competences
Upon successful completion of the course, the learner is expected to be able to:
1) identify and specify the basic principles and concepts of facilities design;
2) evaluate the value of facilities planning on a strategy of a firm;
3) define and analyze product, process and schedule design and understand their relationship with facilities design;
4) develop mathematical models for facility layout and facility location problems;
5) solve facility layout and facility planning problems by implementing basic methods and algorithmic approaches.
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| Program Learning Outcomes/Course Learning Outcomes |
1 |
2 |
3 |
4 |
5 |
| 1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
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| 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 |
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| 3) An ability to communicate effectively with a range of audiences |
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| 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 |
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| 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 |
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| 6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
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| 7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
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Relation to Program Outcomes and Competences
| N None |
S Supportive |
H Highly Related |
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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,Participation
|
| 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 |
S |
Exam,Participation
|
| 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 |
, November 2023 |
| Course Coordinator |
FİLİZ GÜRTUNA |
| Semester |
Spring |
| Name of Instructor |
Asst. Prof. Dr. FİLİZ GÜRTUNA |
Course Contents
| Week |
Subject |
| 1) |
Introduction to facilities planning and facilities design |
| 2) |
Product, process, and schedule design |
| 2) |
Product, process, and schedule design |
| 4) |
Flow systems, activity relationships, and space requirements |
| 5) |
Production and material handling equipment selection |
| 6) |
Layout planning models and design algorithms |
| 7) |
Layout planning models and design algorithms |
| 8) |
Warehousing: storage and retrieval systems |
| 9) |
Flexible manufacturing systems |
| 10) |
Flexible manufacturing systems |
| 11) |
Facility location models |
| 12) |
Facility location models |
| 13) |
Location-allocation models |
| 14) |
Algorithms for manufacturing systems |
| 15) |
Final Exam/Project/Presentation Period |
| 16) |
Final Exam/Project/Presentation Period |
| Required/Recommended Readings | Textbook: “Facilities Planning, J.A. Tompkins, J.A. White, Y.A. Bozer, J.M.A. Tanchoco, 4th edition, Wiley, 2010”
Additional References:
1.) “Facilities Design, Sunderesh Heragu, 3rd edition, CRC Press, 2008”
2.) “Modeling and Analysis of Manufacturing Systems, R.G. Askin, C.R. Standridge, John Wiley & Sons, Inc., New York, 1st edition.”
|
| Teaching Methods | Lectures/contact hours using “flipped classroom” as an active learning technique |
| Homework and Projects | None |
| Laboratory Work | None |
| Computer Use | None |
| Other Activities | None |
| Assessment Methods |
| Assessment Tools |
Count |
Weight |
| Application |
14 |
% 15 |
| Quiz(zes) |
3 |
% 20 |
| Midterm(s) |
1 |
% 25 |
| Final Examination |
1 |
% 40 |
| TOTAL |
% 100 |
|
| Course Administration |
gurtunaf@mef.edu.tr
Exams and quizzes: Closed book and closed notes.
Rules for attendance: Classroom practice contributes to 15% of the final grade.
Missing a quiz or midterm: You are expected to be present without exception and to plan any travel around these dates accordingly. Medical emergencies are of course excluded if accompanied by a doctor’s note. A note indicating that you were seen at the health center on the day of the exam is not a sufficient documentation of medically excused absence from the exam. The note must say that you were medically unable to take the exam. Provided that proper documents of excuse are presented, either missed exam by the student will be given the grade of the final exam or a make-up exam will be given. If you fail to take the exam on the assigned day and do not have a valid excuse, you will be given zero (0) on the exam. Employment interviews, employer events, weddings, vacations, etc. are not excused absences.
Missing a final: Faculty regulations.
http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_14.pdf
A reminder of proper classroom behavior, code of student conduct: YÖK Regulations
Statement on plagiarism: YÖK Regulations
(http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf)
Dates:
Quizzes (at the beginning of the lecture, duration: 30-45 minutes):
Quiz 1: February 27, 2019, Quiz 2: April 17, 2019, Quiz 3: May 8, 2019
Midterm (during lecture, duration: 90 minutes): March 27, 2019
Final: TBA |