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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IND 4922 SUPPLY CHAIN MODELLING AND ANALYSIS ELECTIVE 3 0 0 5

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 give students basic information about supply chain management and logistics and to gain the ability to formulate basic problems in the supply chain with mathematical modeling.

Learning Outcomes of the Course Unit

1   Ability to define basic concepts in supply chain management 2   Ability to formulate mathematical models to express supply chain and logistics problems 3   Ability to solve strategic, tactical, operational supply chain modeling problems such as facility location and vehicle routing 4   Ability to employ the strategies and methods for distribution planning 5   Ability to model and solve supply chain planning problems for different industries

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

END 3525 - OPERATIONS RESEARCH I

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to supply chain management Bioenergy logistics network design 2 Supply chain network design Reverse supply chain management 3 Supply chain network design Sustainable supply chain management 4 Supply chain network design under uncertainty Integrated supply chain management 5 Facility location problem 6 Transportation and distribution network design in a supply chain 7 Transportation and distribution network design in a supply chain 8 Supply chain planning problems in the food industry 9 Supply chain planning problems in the agri-food industry 10 Supply chain planning problems in the healthcare industry

Recomended or Required Reading

Chopra, S. and Meindle, P., Supply Chain Management: Strategy, Planning, and Operations, Prentice Hall, 2016 Vob, S., Woodruff, D.L., Introduction to Computational Optimization Models for Production Planning in a Supply Chain, Springer, 2003.

Planned Learning Activities and Teaching Methods

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

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

bilge.bilgen@deu.edu.tr

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 17 17 Preparation for final exam 1 20 20 Preparing assignments 1 15 15 Final 1 1,5 2 Midterm 1 1,5 2 TOTAL WORKLOAD (hours) 126

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 1 LO.2 5 3 LO.3 5 3 LO.4 4 2 LO.5 5 3 2 3