COURSE UNIT TITLE

: OPERATIONS RESEARCH IN SUPPLY CHAINS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
LOG 5010 OPERATIONS RESEARCH IN SUPPLY CHAINS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ALI SERDAR TAŞAN

Offered to

Logistics Engineering (Non-Thesis-Evening)
Logistics Engineering

Course Objective

This course provides fundamental concepts, theory and procedures for the study of issues in Supply Chain Management. Analytical procedures are developed to enhance the decision-making process in the design, rationalization and improvement of manufacturing or service facilities

Learning Outcomes of the Course Unit

1   To understand fundamental decision problems in supply chains
2   Ability to formulate mathematical models for basic supply chain problems
3   Ability to use operations research methodologies to solve basic supply chain problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 OVERVIEW OF OPERATIONS RESEARCH
2 INTRODUCTION TO LINEAR PROGRAMMING
3 INTRODUCTION TO LINEAR PROGRAMMING
4 THE SIMPLEX ALGORITHM AND SENSITIVITY ANALYSIS
5 THE SIMPLEX ALGORITHM AND SENSITIVITY ANALYSIS
6 THE SIMPLEX ALGORITHM AND SENSITIVITY ANALYSIS
7 TRANSPORTATION AND ASSIGNMENT PROBLEMS
8 INTRODUCTION TO INTEGER PROGRAMMING
9 INTRODUCTION TO INTEGER PROGRAMMING
10 MIDTERM EXAM
11 LOCATION MODELS IN FACILITIES PLANNING
12 LOCATION MODELS IN FACILITIES PLANNING
13 HEURISTICS
14 HEURISTICS

Recomended or Required Reading

H.A. Eiselt, C-L. Sandblom, Operations Research: a Model-based Approach. Springer Science & Business Media, (2012).

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

R. Rardin, Optimization in Operations Research, Prentice Hall, Englewood Cliffs, NJ (1998).

D. Simchi-Levi, X. Chen and J. Bramel, The Logic of Logistics : Theory, Algorithms, and Applications for Logistics Management, 2nd ed., Springer, NY (2005).



Planned Learning Activities and Teaching Methods

Instructor notes will be given using blackboard and visual presentations. Additionally, it will be further supported by application studies.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 + ASG * 0.40 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + ASG * 0.40 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 6 78
Preparation for midterm exam 1 15 15
Preparation for final exam 1 25 25
Preparing assignments 1 35 35
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 196

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.15355355555555
LO.23555355555555
LO.33335555555333

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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