ECTS - Facilities Planning
Facilities Planning (IE407) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Facilities Planning | IE407 | 3 | 1 | 0 | 3 | 7 |
| Pre-requisite Course(s) |
|---|
| IE 323 |
| 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, Observation Case Study, Team/Group. |
| Course Lecturer(s) |
|
| Course Objectives | The students will be able to understand the major issues in facilities planning, such as material handling and flow, location, layout, decisions; formulate mathematical models, and produce feasible and economic solutions. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Introduction to supply chain and facilities planning; location, allocation, and layout of facilities in production and/or service industries; use of analytical and computerized layout techniques to generate and evaluate layout alternatives; analysis and design of warehouses, and material handling and transportation systems. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to supply chain modeling and facilities planning | [1] pg. 1-30 |
| 2 | Product, Process, and Schedule Design | [1] pg.31-69 |
| 3 | Flow, Space, and Activity Relationships; and Determination of Area Requirements | [1] pg.70-110 |
| 4 | Flow, Space, and Activity Relationships; and Determination of Area Requirements Personnel Requirements | [1] pg.70-110 [1] pg.111-134 |
| 5 | Midterm I | |
| 6 | Material Handling Systems Facilities Layout Planning Models and Design Algorithms | [1] pg.135-285 [1] pg.286-325 |
| 7 | Facilities Layout Planning Models and Design Algorithms | [1] pg.286-325 |
| 8 | Facilities Layout Planning Models and Design Algorithms Computer Aided Facilities Layout Techniques | [1] pg.286-325 [1] pg.326-386 |
| 9 | Computer Aided Facilities Layout Techniques | [1] pg.326-386 |
| 10 | Computer Aided Facilities Layout Techniques | [1] pg.326-386 |
| 11 | Midterm II | |
| 12 | Storage and Warehousing | [1] pg. 387-530 |
| 13 | Storage and Warehousing Quantitative Facilities Location Planning (Discrete, Continuous and Advanced Models) | [1] pg. 387-530 [1] pg.531-720 |
| 14 | Quantitative Facilities Location Planning (Discrete, Continuous and Advanced Models) | [1] pg. 531-720 |
| 15 | Quantitative Facilities Location Planning (Discrete, Continuous and Advanced Models) | [1] pg.531-720 |
| 16 | Quantitative Facilities Location Planning (Discrete, Continuous and Advanced Models) | [1] pg.531-720 |
Sources
| Course Book | 1. Tompkins, J. A., J. A. White, Y. A. Bozer, E. H. Frazelle, J. M. A. Tanchoco and J. Trevino, Facilities Planning 3rd Edition, Richmond, TX, U.S.A., 2002. |
|---|---|
| Other Sources | 2. Eric Teicholz, Facility Design and Management Handbook, 1st Edition. McGraw-Hill Professional, 2001. |
| 3. Fred E. Meyers, Matthew P. Stephens, Facility Design and Management Handbook, 3rd Edition. Prentice Hall, 2004. | |
| 5. Sönmez A. İ., Production Plant Design with Applications. University of Gaziantep, Gaziantep, 1998. | |
| 6. Sule, Dileep R., Manufacturing Facilities Location, Planning and Design, 2nd Edition. PWS Pub. Co., 1994. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 60 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 3 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| 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. | X | ||||
| 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. | X | ||||
| 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. | |||||
| 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. | |||||
| 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. | X | ||||
| 12 | Gains skills in the design, development, implementation, and improvement of integrated systems involving human, material, information, equipment, and energy. | X | ||||
| 13 | Gains knowledge about appropriate analytical and experimental methods, as well as computational methods, for ensuring system integration. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | 16 | 1 | 16 |
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 5 | 80 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 8 | 16 |
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 175 | ||