EM541 Advanced Topics in Facilities Planning

6 ECTS - 3-0 Duration (T+A)- 1. Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
INDUSTRIAL ENGINEERING (PhD)
Code EM541
Name Advanced Topics in Facilities Planning
Term 2019-2020 Academic Year
Term Fall
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi MEVHİBE OYA ÇETİK
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

Facility planning problems, numerical methods and models used in the solution of problems and the use of computer-assisted algorithms will be examined.

Course Content

The planning stages of the identification and establishment of the principles of facility planning, flow analysis, facility planning, problem analysis with quantitative methods and models to be applied, computer aided facility layout algorithms, advanced placement models, discrete network location models

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the stages of facility planning.
LO02 Reviews the basic principles and updates knowledge about subject
LO03 Learns and applies mathematical models related to selection of facility location and facility layout.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering. 2
PLO02 - Acquires comprehensive knowledge about methods and tools of industrial engineering and their limitations. 3
PLO03 - Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. 2
PLO04 - Completes and applies the knowledge by using scarce and limited resources in a scientific way and integrates the knowledge into various disciplines. 2
PLO05 - Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary. 3
PLO06 - Has the ability to propose new and/or original ideas and methods, develops innovative solutions for designing systems, components or processes. 4
PLO07 - Develops original definitions that will provide innovation to the field at the level of expertise for current and advanced information in the field based on graduate qualifications. 4
PLO08 - Designs Industrial Engineering problems, develops innovative methods to solve the problems and applies them. 4
PLO09 - Works in multi-disciplinary teams and takes a leading role and responsibility. 0
PLO10 - Identifies, gathers and uses necessary information and data. 3
PLO11 - Follows, studies and learns new and developing applications of industrial engineering. 2
PLO12 - Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. 3
PLO13 - Presents his/her research findings systematically and clearly in oral and written forms in national and international platforms. 3
PLO14 - Understands social and environmental implications of engineering practice. 4
PLO15 - Considers social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. 3
PLO16 - Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. 3


Week Plan

Week Topic Preparation Methods
1 Definiton of facility location problem Reading related references
2 Methods of solving facility location problems 1 Reading related references
3 Methods of solving facility location problems 2 Reading related references
4 Methods of solving facility location problems 3 Reading related references
5 Methods of solving facility location problems 4 Research
6 Methods of solving facility location problems 5 Research
7 Research of applications Research
8 Mid-Term Exam Exam preparation
9 Research of applications Research
10 Facility layout problem Reading relevant references
11 The solving of facility layout problem with computer aided algorithms Reading relevant references
12 The solving of facility layout problem with computer aided algorithms Reading relevant references
13 The solving of facility layout problem with computer aided algorithms reading relevant references
14 The solving of facility layout problem with computer aided algorithms Researching case studies
15 The solving of facility layout problem with computer aided algorithms Researching case studies.
16 Term Exams Exam preparation
17 Term Exams Exam preparation.

Update Time: 10.01.2020 05:39