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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS LOG 5011 LOGISTICS SYSTEMS DESIGN AND ANALYSIS 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

PROFESSOR DOCTOR BILGE BILGEN

Offered to

Logistics Engineering (Non-Thesis-Evening) Logistics Engineering

Course Objective

To be able to model and analyze supply chain management and logistics problems.

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.

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 Sourcing decisions in a supply chain 9 Supplier selection problem 10 Midterm Exam 11 Reverse supply chain management 12 Coordination in supply chain 13 Presentations 14 Presentations

Recomended or Required Reading

Textbook(s): 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 PRJ PROJECT 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.35 + PRJ * 0.15 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.35 + PRJ * 0.15 + RST * 0.50 *** 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

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 5 70 Preparation for midterm exam 1 20 20 Preparation for final exam 1 25 25 Preparing presentations 1 40 40 Final 1 1,5 2 Midterm 1 1,5 2 TOTAL WORKLOAD (hours) 201

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 PO.12 PO.13 LO.1 5 5 5 5 3 5 5 5 4 5 5 4 5 LO.2 5 5 5 3 4 5 5 5 4 5 5 3 5 LO.3 4 4 5 5 5 5 3 5 4 5 3 5 4 LO.4 5 5 5 5 5 5 5 3 5 4 5 5 5