Information Package / Course Catalogue
IE 434 Transportation and Logistics
MEF University
Degree Programs
Computer Engineering
General Information For Students
Diploma SupplementErasmus Policy Statement
Computer 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 434
Course Title in English Transportation and Logistics
Course Title in Turkish Taşımacılık ve Lojistik
Language of Instruction EN
Type of Course Flipped Classroom,Lecture
Level of Course Advanced
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: - Lab: - Other: -
Estimated Student Workload 156 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites IE 202 - Operations Research I
Expected Prior Knowledge Prior knowledge in operations research, and capability of using GAMS software and coding with computer programming are expected.
Co-requisites None
Registration Restrictions -
Overall Educational Objective To learn the application of the operations research in logistics and transportation
Course Description This course is concerned with the planning and control problems observed in transportation and distribution logistics. The aim of the course is to provide students with a solid understanding of the analytical methods and approaches to model and solve real-life logistics management problems, such as facility location and allocation problems, service network design problems, multi-modal transportation problems, and vehicle routing problems. The student is expected to learn and understand the theory and solution techniques which are needed to obtain solutions for the well-known logistics problems. Therefore, the student should be familiar with the basics of operations research, and be capable of using GAMS software and coding with computer programming.
Course Description in Turkish Bu ders ulaştırma ve dağıtım lojistiğinde gözlemlenen planlama ve kontrol problemleriyle ilgilidir. Dersin amacı öğrencilere tesis yeri ve tahsis problemleri, servis ağı tasarım problemleri, çok-modlu ulaştırma problemleri ve araç rotalama problemleri gibi gerçek hayatta ortaya çıkanlojistik yönetimi problemlerini modellemek ve çözmek için analitik yöntemler ve yaklaşımlar hakkında sağlam bir anlayış kazandırmaktır. Öğrencinin, iyi bilinen lojistik problemlerineçözüm bulmak için gereken teori ve çözüm tekniklerini öğrenmesi ve anlaması beklenir.Bu nedenle öğrenci, yöneylem araştırmasının temellerini bilmeli, GAMS yazılımını kullanabilmeli ve bilgisayar programlama ile kod yazabilmelidir.

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 logistics systems design;
2) model long-haul and short-haul freight transportation problems;
3) model location and warehouse logistics management problems;
4) explore heuristic algorithms for solving logistics and transportation problems;
5) apply his/her modelling and coding skills to solve instances with an optimization software;
6) implement and explain the application of heuristic solution procedures;
7) function effectively as a member of a team;
8) give a demonstration of a designed algorithm.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7 8
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,Participation,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,Participation,Project
3) An ability to communicate effectively with a range of audiences H Project
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 H Project
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions H Exam,Participation,Project
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. S Exam,Participation,Project
Prepared by and Date DUYGU TAS KUTEN , January 2020
Course Coordinator UTKU KOÇ
Semester Spring
Name of Instructor

Course Contents

Week Subject
1) Introducing logistics
2) Long-haul transport problems
3) Traveling salesman problem
4) Vehicle routing problems (VRP)
5) VRP with Time Windows
6) Arc Routing Problems
7) Electric VRP
8) Single-echelon location problems
9) Single-echelon and two-echelon location problems
10) Location covering and p-centre problems
11) Hybrid methods and stochastic location problems
12) Selecting the suppliers
13) Warehouse logistics management
14) Term project presentations
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsIntroduction to Logistics Systems Management. G. Ghiani, G. Laporte, R. Musmanno. 2nd Edition, John Wiley & Sons, 2013 Vehicle Routing: Problems, Methods, and Applications. P. Toth, D. Vigo, 2nd Edition, MOS & SIAM, 2014
Teaching MethodsLectures/contact hours using “flipped classroom” as an active learning technique
Homework and ProjectsA project will be completed in groups of students.
Laboratory Work-
Computer UseYes
Other Activities-
Assessment Methods
Assessment Tools Count Weight
Application 14 % 15
Quiz(zes) 3 % 15
Project 1 % 20
Midterm(s) 1 % 20
Final Examination 1 % 30
TOTAL % 100
Course Administration duygu.tas@mef.edu.tr
0212 3953717
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 Missing a project: Project deadlines are always extendable up to 72 hours, with submissions late for (0,24] hours receive 70% of the credit they get, (24,48] hours receive 35%, and (48,72] receive 10%. 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)

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 1 3 2 84
Project 1 5 20 25
Quiz(zes) 3 2 1 9
Midterm(s) 1 16 2 18
Final Examination 1 18 2 20
Total Workload 156
Total Workload/25 6.2
ECTS 6