Course Name : Quantitative Techniques in Logistics

Degree: Bachelor

Code

Year/Semester

Local Credits

ECTS Credits

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

ULT 224

2/4 (Spring)

3,5

7

3

1

-

Department

Instructors

Assist. Prof. Dr. Emre CAKMAK

Contact Information

e-mail: ecakmak@pirireis.edu.tr

Office Hours

Tuesday 13:30-17:00

Web page

http://www.pirireis.edu.tr/pruonline/www/index.php

Course Type

 Compulsory

Course Language

English

Course Prerequisites

Course Description

Introduction / The mathematical methods of operations research / Formulation of the mathematical problems / Solving the mathematical problems by graphical method and Simplex / Duality /Sensitivity / Introduction the Excel Solver / Solving the mathematical problems by Excel Solver and Cplex

Course Objectives

This course aims to understand basic quantitative techniques concepts and mathematical modeling, formulate the mathematical model, apply linear programming method to the real life problems and apply the simplex method the linear programming problems. At the end of the course, students will have a fair understanding of the role quantitative techniques in logistics.

Course Learning Outcomes

By students who passed from ULT 224 Quantitative Techniques in Logistics successfully

Students will

1. Have knowledge about basic quantitative techniques
2. Able to develop mathematical model
3. Able to solve mathematical models with graphical and simplex models.
4. Able to analyze the effects of variation of model parameters in the mathematical model.
5. Able to solve some mathematical models by using the computer programs

Instructional Methods and Techniques

The presentation of theoretical and practical techniques

Tutorial Place

-

Co-term Condition

-

Textbook

Taha, H. A. (2007). Operations Research: An Introduction (ed. 9). Pearson/Prentice Hall.

Other References

Lecture Notes

Homework & Projects

Laboratory Work

Some problems are prepared, modelled, solved and reported on computer

Computer Use

Some problems are prepared, modelled and reported on MS Excel

Other Activities

Using MS Excel

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

Midterm

2

30

Quiz

Homework

2

20

Term Paper/Project

Laboratory Work

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

50

TOTAL

100

Effects of Midterm on Grading, %

50

Effects of Final on Grading, %

50

TOTAL

100

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

12

4

48

Midterm

2

24

48

Quiz

Homework

2

15

30

Term Paper/Project

Laboratory Work

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

45

45

Total Workload

171

Total Workload/25

171/25

Course ECTS Credits

7

Week

Topics

Course Outcomes

1

Introduction

I

2

The mathematical methods of operations research

I, II

3

Formulation of the mathematical problems

I, II

4

Solving the mathematical problems by graphical method

III

5

Solving the mathematical problems by simplex method

III

6

Solving the mathematical problems by simplex method II

III

7

Midterm I

8

Duality I

III, IV

9

Duality II

III, IV

10

Sensitivity

III, IV

11

Midterm II

12

Introduction the Excel Solver

IV, V

13

Solving the mathematical problems by Excel Solver

IV, V

14

Solving the mathematical problems by Excel Solver and Cplex

IV, V

Program Outcomes

Level of Contribution

1

2

3

a

To have advanced knowledge in related fields of logistics and transportation.

X

b

Able to work effectively with multidisciplinary teams or individually in national and international logistics and transportation areas both in theoretical and applied scope. 

X

c

Able to identify, define, formulate and solve problems with theoretical and applied transportation and logistics knowledge.

X

d

Able to communicate oral and written effectively with logistics and transportation stakeholders, and can use a foreign language minimum B1 level in European Language Portfolio.

X

e

To have advanced competence on general, logistics, and transportation information technologies.

X

f

To have knowledge about logistics and transportation principles, policies, and legislations.

X

g

To have knowledge about corporate governance, legal framework, business practices and environmental effects with professional and ethical responsibility

X

h

Able to access information by searching text, visual and digital resources, and be able to use these information for interpreting and analyzing data, identifying problems, and offering solutions.

X

i

Able to use theoretical and practical knowledge that learned from logistics and transportation companies with business management techniques.

X

j

Able to develop project in logistics and transportation area, and can take responsibility and act as coordinator or participant as an individual or group member in accordance with project goals.

X

Prepared by

Assist.Prof.Dr.Emre Çakmak

Date

7/25/2018

Signature