Supply Chain II

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Supply Chain II
Course Description: 
Elective course (track)
Management Engineering

This course will help undergraduate student to drill down to a) fundamental issues of supply chain design and operations, b) the use of advanced quantitative methods for solving related problems, c) how to deal with critical parameters of supply chain organization and management, and d) understanding the challenges and opportunities of the Greek supply chain


The specific course contents include:


Ι. Background

Review of basic methods of operational research (Linear Programming, Integer and Mixed Integer Linear Programming)

Review of key topics in supply chain management

ΙΙ. Supply chain (SC) system design

SC network design and optimization:  Minimizing cost

SC network design and optimization:  Maximizing sustainability (via multi-objective methods)

Warehouse science 1

Warehouse science 2

Warehouse science 3

III Distribution systems

Distribution and the vehicle routing problem

ΙV Quantitative and qualitative data analytics

Quantitative methods in procurement management

Quantitative methods in forecasting

Supply chain analytics 1

Supply chain analytics 2

V The Greek Supply Chain

Role, challenges and opportunities

Class schedule: 
Δευτέρα: 15:00 - 18:00
Class schedule: 
Ώρες επικοινωνίας: Δευτέρα 12:00 - 15:00 κατόπιν συνεννόησης μέσω email
Assessment methods: 


- Homework: 10%

- One intermediate exam: 20%

- Term project: 20%

- Final exam: 50%


Recommended Reading:

Recommended references


Minis, I. and Arampantzi, C. Supply chain management II, lecture notes, , University of the Aegean, 2019

Chopra Sunil - Meindl Peter, “Διοίκηση Εφοδιαστικής Αλυσίδας”, 2015, Εκδόσεις Α. ΤΖΙΟΛΑΣ & ΥΙΟΙ Α.Ε.

Μαρινάκης, Ι., Μυγδαλάς, Α., 2018, “Σχεδιασμός Βελτιστοποίηση της Εφοδιαστικής Αλυσίδας”, Εκδόσεις Σοφία.


Relevant Scientific Journals


European Journal of Operations Research


International Journal of Logistics Management

International Journal of Supply Chain Management

International Journal of Production Research