A5083863599- Advanced Manufacturing and Logistics Optimization
- Digital Transformation in Industry
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Food Supply Chain Traceability
- Fault Detection and Control Systems
- Smart Agriculture and AI
- IoT and Edge/Fog Computing
- Industrial Vision Systems and Defect Detection
- Sustainable Supply Chain Management
- Smart Cities and Technologies
- Microfluidic and Capillary Electrophoresis Applications
- Quality and Supply Management
- Organizational Leadership and Management Strategies
- ERP Systems Implementation and Impact
- Vehicle Routing Optimization Methods
- Indoor and Outdoor Localization Technologies
- Advanced Chemical Sensor Technologies
- Food Waste Reduction and Sustainability
- Risk and Safety Analysis
- Blockchain Technology Applications and Security
- Quality and Safety in Healthcare
- Water Quality Monitoring Technologies
- Transportation and Mobility Innovations
- Augmented Reality Applications
International Hellenic University
2019-2025
Aristotle University of Thessaloniki
2002-2025
Atlantis Consulting (Greece)
2023
Public Health Dayton & Montgomery County
2022
Alexander Technological Educational Institute of Thessaloniki
2016-2019
Centre for Research and Technology Hellas
2019
Information Technologies Institute
2004
The increasing exposure of global supply chains to severe disruptions such as the ones related COVID-19 pandemic, clearly demonstrated need for novel data-driven risk management paradigms that monetise data from internal and external stakeholders support chain security, resilience, sustainability. We first motivate challenges are facing under new realities. then provide a critical taxonomy relevant literature identify gaps which include: (i) impact security on operations; (ii) cost effective...
Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and machinery installed in industrial facilities. Failures can disrupt production lead the supply chain ecosystem to malfunction. Maintenance strategies are necessary safeguard continuous operation of lines, minimize disruptions, improve sustainability indicators. Within context smart manufacturing, predictive maintenance (PdM) approaches could decrease downtimes, reduce operational costs, increase...
The principal objective of this research is to provide a framework that captures the main software architecture elements for developing highly customised simulation tools support effective integration Intelligent Autonomous Vehicles (IAVs) in sustainable supply networks, as an emerging field operations management agenda. To end, study's contribution fourfold including: (i) review and platforms used assessing performance IAVs interlinked with sustainability ramifications chain (SC)...
This research aims to develop a farm management emulation tool that enables agrifood producers effectively introduce advanced digital technologies, like intelligent and autonomous unmanned ground vehicles (UGVs), in real-world field operations. To end, we first provide critical taxonomy of studies investigating agricultural robotic systems with regard to: (i) the analysis approach, i.e., simulation, emulation, implementation; (ii) farming operations; (iii) type. Our demonstrates simulation...
Rising healthcare costs force organizations worldwide to reconsider their business strategies. Hospital managers are tasked with lowering operating while upholding the high quality of care, two goals perceived as contradictory by many professionals. Attempting contribute towards reaching these goals, study explores digitalization supply chain through adoption enterprise resource planning (ERP) systems and its impact on hospital costs. Established technology theories synthesized develop a...
This study proposes a modular water monitoring IoT system that enables quantitative and qualitative measuring of in terms an upgraded version the infrastructure to sustain operational reliability. The proposed method could be used urban rural areas for consumption quality monitoring, or eventually scaled up contemporary enabling providers and/or decision makers (i.e., governmental authorities, global organization, etc.) supervise drive optimal decisions challenging times. inherent resilience...
Augmented Reality (AR) is an emerging technology in the Industry 4.0 and Logistics contexts with important role man–machine symbiosis scenarios. Practitioners, although already acquainted AR technology, are reluctant to adopt applications industrial operations. This stems from fact that a direct connection for management of sustainability goals missing. Moreover, such economic, social, environmental parameters sparsely appears literature. The proposed research, on one hand, presents...
Healthcare supply chains are complex systems facing challenges in delivering high-quality care while maintaining cost-effectiveness. Research on inventory management and control, the heart of healthcare system, has demonstrated that these targets can be reached by managing inventories efficiently aiming at desired service levels. Although this enabled adopting various chain practices, sector appears to lag compared other industries. Seeking investigate aspects, study draws operations...
The Internet of Things (IoT) provides technical solutions for monitoring assets in facility layouts, and this is further strengthened by the development sophisticated software tools intralogistics operations. present research a taxonomy existing tracking technologies comparison matrix supporting decision making when selecting most suitable technology real-time indoor areas. Although numerous exist, ultra-wideband (UWB) has gained significant attention recent years due to its exceptional...
Industry 4.0 has revolutionized the way companies manufacture, improve, and distribute their products through use of new technologies, such as artificial intelligence, robotics, machine learning. Autonomous Mobile Robots (AMRs), especially, have gained a lot attention, supporting workers with daily industrial tasks boosting overall performance by delivering vital information about status production line. To this end, work presents novel Q-CONPASS system that aims to introduce AMRs in lines...
Purpose The purpose of this paper is twofold: first, to discuss key challenges associated with the use either simulation or real-world application intelligent autonomous vehicles (IAVs) in supply network operations; and second, provide a theoretical empirical evidence-based methodological framework that supports integrated conceptualisation, simulation, emulation physical IAVs for effective design digital networks. Design/methodology/approach First, study performs critical review extant...
The fourth industrial revolution (Industry 4.0) brought significant changes in manufacturing, driven by technologies like artificial intelligence (AI), Internet of Things (IoT), 5G, robotics, and big data analytics. For industries to remain competitive, the primary goals must be improvement efficiency safety machinery, reduction production costs, enhancement product quality. Predictive maintenance (PdM) utilizes historical AI models diagnose equipment’s health predict remaining useful life...
This paper presents a novel secure, anonymous and practical payment protocol for Peer-to-peer commerce transactions, designed to enable every user both buy sell items. The uses electronic cash transactions. new provides consumers with full anonymity since it prevents the from providing his/her credit card number personal data. It is suitable micro-payments (under 1 Euro) as well macro-payments using cutting edge technologies in security algorithms.
<span lang="EN-US">Combined with advances in sensing technologies and big data analytics, critical information can be extracted from continuous production processes for predicting the health state of equipment safeguarding upcoming failures. This research presents a methodology applying predictive maintenance (PdM) solutions showcases PdM application prediction condition monitoring, increasing safety productivity centrifugal pumps sustainable resilient ecosystem. Measurements depicting...
In the competitive Supply Chain (SC) ecosystem, Information Technology is undoubtedly driver for innovation.Modern SCs are constantly searching advantages that could enable sustain growth and market share improvement.Industry 4.0 paving way new digitalization era where interconnected devices interoperate in a 24/7 basis provide real-time reliable data to SC stakeholders.The Internet of Things (IoT) solution thousands digital strive e-presence landscape jointly with use autonomous systems...