ΟΠ0802 SUPPLY CHAIN COORDINATION (ELECTIVE COURSE 3)

ΟΠ0802 SUPPLY CHAIN COORDINATION (ELECTIVE COURSE 3)

Course Information

Πληροφορίες Μαθήματος


Course Category
Course Type
Secretary Code
Semester
Duration
ECTS Units

Sector

Διδάσκων

Undergraduate
Elective Course 3
ΟΠ0802
8th (Spring)
5 hours/week
6

Production Management and Industrial Administration

X. Taouktsis

Course Category: Undergraduate
Course Type: Υ
Secretary Code:ΟΠ0802
Semester: 8th (Spring)
Duration: 5 hours/week
ECTS Units: 6
Instructor:Taouktsis X

Aim

The aim of the course is to familiarize students with the contemporary challenges of the Supply Chain, focusing on the importance of coordination, information, and cutting-edge technologies for better decision-making. The course will present and clarify the concepts of Logistics and Supply Chain
Management, study the impact of lack of coordination, and analyze the Bullwhip Effect. Furthermore,  the critical role of information in decision-making will be presented, as well as the importance of Digital Transformation through the integration of cutting-edge technologies such as: Artificial Intelligence, Blockchain Technology, the Internet of Things, Digital Twins, and Big Data Analytics.  To address the challenges of the supply chain, students will explore a wide range of concepts, including  time series analysis for demand forecasting, inventory management (single and multi-period), and
various optimization problems. In addition, they will  use the basic principles of game theory as a means of interpreting supply chain coordination issues. 

Syllabus
  • Introduction to logistics and supply chain management,
  • Contemporary challenges in the supply chain,
  • The importance of coordination in the supply chain,
  • The bullwhip effect (analysis, causes, and the need for mitigation),
  • Supply chain coordination through contracts,
  • The value of information (downstream and upstream), incentives for information exchange, and managing asymmetric information in the supply chain,
  • Information sharing in competitive environments,
  •  Game theory in supply chain analysis,
  • The importance of digital transformation and cutting-edge technologies:

         – Artificial Intelligence,

          – Blockchain Technology,

         – Internet of Things,

         – Digital Twins,

          – Big Data Analytics.

  • Time series analysis for demand forecasting:

           –  Forecasting Methods,

            –  Forecast Error Metrics. 

  • Inventory management:

           – Newsvendor Model,

           – Continuous Review System,

           – Periodic Review System.

  • Practical applications in various optimization problems,
  •  Case studies from the global supply chain.
Literature

Suggested Literature

  • Albrecht, M. (2010). Supply Chain Coordination Mechanisms (Vol. 628). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-02833-5
  • Amit, R. K. (2024). Game Theory with Applications in Operations Management. Springer Nature Singapore. https://doi.org/10.1007/978-981-99-4833-8
  • Basu, R. (2023). Managing Global Supply Chains (3rd ed.). Routledge.
    https://doi.org/10.4324/9781003341352
  • Choi, T.-M. (Ed.). (2012). Handbook of Newsvendor Problems (Vol. 176). Springer New York.https://doi.org/10.1007/978-1-4614-3600-3
  • McCain, R. A. (2019). Θεωρία Παιγνίων. Εκδότης: BROKEN HILL PUBLISHERS LTD. ISBN:9789925575404.
  • Russell, R. S., Taylor, B. W., & Τατσιόπουλος, Η. Π. (Επιστ. Επιμέλεια) (2016). Οργάνωση Παραγωγής και Διοίκηση Εφοδιασμού, 8η Έκδοση. Εκδότης: ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε. ISBN:
    9789604185573.
  • Sarkis, J. (Ed.). (2024). The Palgrave Handbook of Supply Chain Management. Springer International Publishing. https://doi.org/10.1007/978-3-031-19884-7
  • Stadtler, H., Kilger, C., & Meyr, H. (Eds.). (2015). Supply Chain Management and Advanced Planning. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-55309-7
  • Sunil, C., Ανδρουτσόπουλος, Κ., & Μαντάς, Μ. (Επιστ. επιμέλεια) (2020). Διοίκηση Εφοδιαστικής Αλυσίδας, 7η Έκδοση. Εκδότης: ΕΚΔΟΣΕΙΣ Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε. ISBN: 9789604188758.
  • ΒΙΔΑΛΗΣ, Μ. (2017). ΕΦΟΔΙΑΣΤΙΚΗ (LOGISTICS): ΜΙΑ ΠΟΣΟΤΙΚΗ ΠΡΟΣΕΓΓΙΣΗ. Εκδότης: ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ. ISBN: 9789604617692.
  • ΜΑΡΙΝΑΚΗΣ, Ι., & ΜΥΓΔΑΛΑΣ, Α. (2008). ΣΧΕΔΙΑΣΜΟΣ ΚΑΙ ΒΕΛΤΙΣΤΟΠΟΙΗΣΗ ΤΗΣ ΕΦΟΔΙΑΣΤΙΚΗΣ ΑΛΥΣΙΔΑΣ. Εκδότης: “σοφία” Ανώνυμη Εκδοτική & Εμπορική Εταιρεία. ISBN: 9789606706172.

    Related academic journals:
    • Annals of Operations Research, Springer
    • Artificial Intelligence, Elsevier
    • Autonomous Agents and Multi-Agent Systems, Springer
    • European Journal of Operations Research, Elsevier
    • Expert Systems with Applications, Elsevier
    • Games and Economic Behavior, Elsevier
    • International Journal of Game Theory, Springer
    • International Journal of Production Economics, Elsevier
    • Management Science, INFORMS
    • Manufacturing & Service Operations Management, INFORMS
    • Operations Research, INFORMS
    • The International Journal of Logistics Management, Emerald
Teaching Language

Greek

Teaching Method

Lectures, Practice Exercises / Laboratory Exercises 

Student Performance Evaluation
Writing final exam70%
Assignment with presentation 30%
Workload (in hours)
ActivitySemester Workload
Lectures70
Practice Exercises30
Independent Study50
Course Total (25 hours of workload per credit) 150