Course Name : Quantitative Techniques

Degree: Post-Graduate

Code

Year/Semester

Local Credits

ECTS Credits

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

LTY505

1/1 (Fall)

3

6

3

0

-

Department

Logistics and Supply Chain Management

Instructors

Assist. Prof. Dr. Emre CAKMAK

Contact Information

e-mail: emre.cakmak@pirireis.edu.tr

Office Hours

Wednesday 18:00-21:00

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 LTY505 Quantitative Techniques 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

Term Paper/Project

1

10

Laboratory Work

Practices

Tutorial

Seminar

Presentation

1

10

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

3

48

Midterm

2

15

30

Quiz

Homework

2

12

24

Term Paper/Project

Laboratory Work

Practices

Tutorial

Seminar

Presentation

1

6

6

Field Study

Final Exam

1

30

30

Total Workload

138

Total Workload/25

138/25

Course ECTS Credits

6

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

Can understand and use the basic knowledge and existing theories about logistics and supply chain management (logistics systems design and planning, purchasing, manufacturing, inventory management, strategic alliances, risk management, performance measurement etc.)

X

b

Can develop logistics and supply chain strategies by using the appropriate theories, tools and methods, and can make decisions about logistics system designs which support the enterprice’s mission and objectives.

X

c

Can evaluate situations in supply chain management and determine what problems in the system  and analyze problems and risks.

X

d

Can generate innovative solutions current developments to problems of supply chain management and applications and can make recommendations for improving performance

X

e

Do know general concept and practice of the basic administration science such as economics, accounting, human resource management, international trade and  integrate this knowledge for designing logistics and supply chain systems.

X

f

Can use software and applications for either conducting data or analyzing data and systems are using in the field of logistics management

X

Course

Outcomes

I

II

III

IV

V

Programme Outcomes

a

2

2

2

1

1

b

2

1

1

1

c

3

1

d

e

2

1

1

f

2

1

1

Prepared by

Assist.Prof.Dr.Emre Çakmak

Date

01.06.2017

Signature