Course Name : Optimization Techniques for Maritime Management

Degree: PhD

Code

Year/Semester

Local Credits

ECTS

Credits

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

MTME 622

3

6

3

-

-

Department

Maritime Transportation and Management Engineering PhD  Programmes

Instructors

Contact Information

Office Hours

Web page

pruonlinenew.pirireis.edu.tr

Course Type

 Elective

Course Language

English

Course Prerequisites

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

Course Description

The course will cover mathematical programming models and optimization techniques, mainly linear programming model variations such as integer linear programming, dynamic programming, goal programming, stochastic programming models. The applications of these models in maritime industry such as vessel routing, container distribution, port operations planning, will be emphasized and examples in this area will be solved. In addition, Operations Research / Optimization software will be used to solve some model applications in the course.

Course Objectives

The aim of the course is to enable students to understand how to formulate mathematical programming and similar optimization models. Morever, the course also aims to demonstrate how the modeling techniques can be applied in the maritime industry.

Course Learning Outcomes

Students who have successfully completed this course ;

1. will be able to undertand the mathematical programming models
2. will be able to solve the basic problems related to mathematical models and techniques
3. will have high ability to use models and techniques to analyze real life problems in the maritime industry

             IV. will o be able to use Operations Research / Optimization software to solve the problems

Instructional Methods and Techniques

Presentation, discussion and homework.

Tutorial Place

-

Co-term Condition

Textbook

• Introduction to Operations Research by Hiller and Lieberman, 9e, McGraw Hill, 2010
• Operations Research: Applications and Algorithms, Wayne L. Winston, 4e, Cengage Learning, 2003
• Operations Research. An Introduction, Hamdy A. Taha, 6e, PrenticeHall, 1997
• Handbook of Ocean Container Transport Logistics. Lee, C.Y., Meng, Q. Springer, 2015

Other References

 Scientific articles on the optimization problems related to maritime management

Homework & Projects

Each student will prepare a written assignment and present it to the class.

Laboratory Work

Computer Use

It will be used in lectures and presentations.

Other Activities

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

Midterm

Quiz

Homework

Term Paper/Project

Laboratory Work

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

TOTAL

Effects of Midterm on Grading, %

Effects of Final on Grading, %

TOTAL

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

Midterm

Quiz

Homework

Term Paper/Project

Laboratory Work

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

Total Workload

Total Workload/25

Course ECTS Credits

Week

Topics

Course Outcomes

1

Introduction of the course, introduction to mathematical programming and optimization

I

2

Linear Programming (LP) models

I

3

Graphical solution method , Simplex algorithm

I, II

4

Applications of LP models in maritime industry

I, II, III

5

Duality and sensitivity analysis

I, II, III

6

Dynamic Programming models and applications in maritime industry

I, II, III

7

Goal Programming models and applications in maritime industry

I, II, III, IV

8

Exam

I, II, III, IV

9

Stochastic Programming models and applications in maritime industry

I, II, III, IV

10

Multi-objective optimization models applications in maritime industry

I, II, III, IV

11

Advanced optimization and Operations Research techniques and applications such as Column Generation, Heuristics

I, II, III, IV

12

Other most popular optimization problems and applicaitons in maritime industry

I, II, III, IV

13

Other most popular optimization problems and applicaitons in maritime industry

I, II, III, IV

14

Presentation of homeworks

I, II, III, IV

Programme outcomes

Level of contribution

1

2

3

a

Developing and intensifying knowledge in the related program’s area, based upon the competency in the undergraduate level (sufficient knowledge) (knowledge).

X

b

Grasping the inter-disciplinary interaction related to one’s area (knowledge).

X

c

The ability to use the expert-level theoretical and practical knowledge acquired in the area (skill).

X

d

Interpreting and forming new types of knowledge by combining the knowledge from the area and the knowledge from various other disciplines (skill).

X

e

Solving the problems faced in the area by making use of the research methods (skill).

X

f

The ability to carry out a specialistic study related to one’s area independently. (Competence to work independently and take responsibility).

X

g

Developing new strategic approaches to solve the unforeseen and complex problems arising in the practical processes of one’s area and coming up with solutions while taking responsibility (Competence to work independently and take responsibility).

X

h

Fulfilling the leader role in the environments where solutions are sought for the problems related to the area (Competence to work independently and take responsibility).

X

i

Assessing the specialistic knowledge and skill gained through the study with a critical view and directing one’s own learning process (Learning Competence).

X

j

Systematically transferring the current developments in the area and one’s own work to other groups in and out of the area; in written, oral and visual forms (Communication and Social Competency).

X

k

Ability to see and develop social relationships and the norms directing these relationships with a critical look and the ability to take action to change these when necessary. (Communication and Social Competency).

X

l

Ability to use at least one foreign language at the level of European Language Portfolio B2 General Level and gain the ability to communicate in written and oral form, convey one’s own work in international platforms through written, oral and/or visual means. (Communication and Social Competency).

X

m

Using the computer software together with the information and communication technologies efficiently and according to the needs of the area (Communication and SocialCompetency).

X

n

Paying regard to social, scientific, cultural and ethical values during the collecting, interpreting, practicing and announcing processes of the area related data and the ability to teach these values to others (Area Specific Competency).

X

o

Developing strategy, policy and application plans concerning the subjects related to the area and the ability to evaluate the end results of these plans within the frame of quality processes (Area Specific Competency).

X

p

Using the knowledge and the skills for problem solving and/or application (which are processed within the area) in inter-disciplinary studies (Area Specific Competency).

X

Course

Outcomes

I

II

III

IV

V

Programme Outcomes

a

X

X

X

X

X

b

X

c

X

X

X

X

X

d

X

e

X

X

X

f

X

X

X

X

X

g

X

X

X

h

X

i

X

X

X

j

X

k

X

X

l

X

X

m

X

X

X

n

X

X

X

X

o

X

X

X

X

p

X

X

X

X

X