ECTS - Decision Process and Optimization in Logistics
Decision Process and Optimization in Logistics (LOG430) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Decision Process and Optimization in Logistics | LOG430 | Area Elective | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Drill and Practice. |
| Course Lecturer(s) |
|
| Course Objectives | The basic aim of this course is to recognize students a good foundation in the theory and applications of linear programming problems as well as an appreciation of its potential applications extensively in such diverse areas as logistics, manufacturing, financial planning etc. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Linear programming, formulating problems, modeling, selection of solution algorithm for models and computer assisted model solving and test, simplex algorithm, sensitivity analysis, duality analysis. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to International Trade and Model Building | Course Book, Chapter 1 |
| 2 | The Process of Model Building | Course Book, Chapter 2 and 3 http://ocw.mit.edu/courses/sloan-school-of-management/15-093j-optimization-methods-fall-2009/lecture-notes/, lecture 1 and 2 |
| 3 | Introduction to Linear Programming | Course Book, Chapter 4 |
| 4 | Problem Analysis in Linear Programming | Course Book, Chapter 4 |
| 5 | Restrictions and Solutions Techniques | Course Book, Chapter 4 |
| 6 | Graphical Solutions and Optimization | Course Book, Chapter 5 |
| 7 | Midterm Exam | |
| 8 | Sample Company Process and Decision | Sample Profit-cost Analysis |
| 9 | The Simplex Algorithm | Course Book, Chapter 7 http://ocw.mit.edu/courses/sloan-school-of-management/15-093j-optimization-methods-fall-2009/lecture-notes/ lecture 3 and 4 |
| 10 | Network Optimization Models | Course Book, Chapter 7 |
| 11 | Sensitivity Analysis and Duality | Course Book, Chapter 8 http://ocw.mit.edu/courses/sloan-school-of-management/15-093j-optimization-methods-fall-2009/lecture-notes/ lecture 5-6 and 7 |
| 12 | Transportation, Assignment and Transshipment Problems | Course Book, Chapter 8 |
| 13 | Sensitivity and Duality Analysis in Transshipment Problems | Course Book, Chapter 9 |
| 14 | Sample analysis | |
| 15 | Comprehensive Course Overview | |
| 16 | Final Exam |
Sources
| Course Book | 1. Operations Research Models and Methods, Paul A. Jensen and Jonathan F. Bard, John Wiley and Sons, 2003. |
|---|---|
| 2. Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman, Ninth Edition, Mc GrawHill, 2010. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | 1 | 10 |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 1 | 10 |
| Presentation | - | - |
| Project | 1 | 10 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 30 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 5 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| 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 | The ability to have and use theoretical and practical information in international trade and logistics | |||||
| 2 | The ability to define problems, as well as to collect, evaluate, analyze, and interpret data, and to devise solutions, making use of the information, skills, and competencies in the field | |||||
| 3 | The ability to perform numerical analyses and research through accessing different resources of information in the field | |||||
| 4 | The ability to take part in intra- and interdisciplinary, or multi-cultural working groups, as well as work individually | |||||
| 5 | The ability to communicate verbally and in writing in English, and to make use of at least 1 foreign language | |||||
| 6 | The ability to act responsibly, and with the awareness in the issues of environmental sensitivity, sustainability, transparency, social responsibility, and ethical values | |||||
| 7 | The ability to read, understand, and interpret the relevant legislation in the field of international trade and logistics, and to see the global, and social effects of practices | |||||
| 8 | The ability to question and interpret the acquired interdisciplinary pieces of information within the framework of the current economic, social, and environmental conjuncture | |||||
| 9 | The ability to stay up to date regarding the local, regional, and global changes in the international trade and logistics, and the supply chain sector; and relevant through improvements on professional competencies and backgrounds, and to devise quick and effective solutions to possible problems through an innovative approach | |||||
| 10 | The ability to track national and international regulations in international trade and logistics, to learn logistic procedures and risk management, to use current instruments of technology and informatics, to analyze and improve processes, to devise new ideas and suggestions, to manage activities for change, and to report and document these processes | |||||
| 11 | - | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | |||
| Presentation/Seminar Prepration | |||
| Project | 1 | 30 | 30 |
| Report | |||
| Homework Assignments | 1 | 20 | 20 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 20 | 20 |
| Prepration of Final Exams/Final Jury | 1 | 30 | 30 |
| Total Workload | 148 | ||