• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS END 4902 SUPPLY CHAIN MODELING AND ANALYSIS ELECTIVE 3 0 0 4

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR BILGE BILGEN

Offered to

Industrial Engineering

Course Objective

The aim of the course is to provide students with basic information about supply chain management and logistics and to gain the ability to express basic problems in this field with mathematical modeling.

Learning Outcomes of the Course Unit

1   An ability to identify main concepts of supply chain management 2   An ability to derive mathematical programming models for solving the supply chain management problems. 3   To teach students to use problem solving tools to analyze strategic, tactical, and operational supply-chain decisions including facility location, vehicle routing problems. 4   To engage students in case studies based on real world supply chain decisions. 5   An ability to solve logistics network optimization problems via mixed integer linear programming models.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction 2 Supply chain network design 3 Supply chain network design under uncertain environment 4 Facility location problem 5 Aggregate planning in a supply chain 6 Transportation in a supply chain 7 Travelling salesperson problem, vehicle routing problem 8 Solution techiques for VRP problem 9 Sourcing decisions in a supply chain 10 Supplier selection problem 11 Reverse supply chain management 12 Coordination in supply chain 13 Coordination in supply chain 14 Supply chain network design for different industries

Recomended or Required Reading

Supply Chain Management: Strategy, Planning, and Operations, Chopra, S. and Meindle, P., Prentice Hall, 2010 Supplementary Book(s): Introduction to Computational Optimization Models for Production Planning in a Supply Chain, Stefan Vob, David L. Woodruff, Springer, 2003.

Planned Learning Activities and Teaching Methods

The presentations which are prepared by using books, articles and proceedings as well as class board will be used in the scope of the course programme.

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 * 0.40 + ASG * 0.10 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + ASG * 0.10 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

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 14 3 42 Preparations before/after weekly lectures 14 2 28 Preparation for midterm exam 1 12 12 Preparation for final exam 1 12 12 Preparing presentations 1 10 10 Final 1 1,5 2 Midterm 1 1,5 2 TOTAL WORKLOAD (hours) 108

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 LO.1 4 LO.2 5 4 4 4 LO.3 5 4 5 4 LO.4 5 4 4 4 LO.5 5 4 4 4