Logistics

The laboratory addresses educational, research, and development needs in the field of business logistics, which includes: inventory management, warehousing systems, transportation and communication systems (for suppliers, businesses, and consumers), etc.

Laboratory Details

Laboratory Title: Logistics

Faculty: Production and Management Engineering

School: Engineering

Email: axanthop@pme.duth.gr

Telephone: 2541079676

Website:

Official Gazette of Establishment:

Introduction - Presentation

The laboratory addresses educational, research, and development needs in the field of business logistics, which includes: inventory management, warehousing systems, transportation and communication systems (for suppliers, businesses, and consumers), etc.

Field of Research

Logistics, Supply Chain Management

Laboratory Members

Name Position/Capacity Email Telephone
Alexandros Xanthopoulos Director axanthop@pme.duth.gr 2541079676
Anastasia Karamanli PhD Candidate ankarama@pme.duth.gr
Ioannis Stamoulis PhD Candidate istamoul@pme.duth.gr

Featured Research Programs

Programme Title Duration Funding
"Greece 4.0 – Network of Excellence for the Development, Dissemination, and Implementation of Digital Transformation Technologies in the Greek Manufacturing Industry (TAEDR-0535864)" 10 months Greece 2.0 NATIONAL RECOVERY AND RESILIENCE PLAN
Innovative Optimization Approaches in Supply Chain Management 5 years ETAA

Featured Publications

Chronological Order APP doi
C. Mitrakas, A. Xanthopoulos, D. Koulouriotis. (2025). Expanding the Fine-Kinney Methodology Using Fuzzy Logic: A Case Study in an Energy Linemen Workshop. Safety, 11(94) https://doi.org/10.3390/safety11040094
A. Karamanli, A. Xanthopoulos, A. Gasteratos, D. Koulouriotis. (2025). A Bibliometric and Systematic Review of Manufacturing-as-a-Service: Literature Insights, Challenges, and Future Trends. Applied Sciences, 15(5), 2440 https://doi.org/10.3390/app15052440
C. Mitrakas, A. Xanthopoulos, D. Koulouriotis. (2025). Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis. Applied Sciences, 15(4), 1909 https://doi.org/10.3390/app15041909

Infrastructure and Equipment

Patents

There are no featured patents.

Spin Offs

There are no registered SpinOffs