Αναστάσιος Γιαλός

ORCID: 0000-0003-2183-8067
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About
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Research Areas
  • Advanced Manufacturing and Logistics Optimization
  • Manufacturing Process and Optimization
  • Additive Manufacturing Materials and Processes
  • Urban and Freight Transport Logistics
  • Flexible and Reconfigurable Manufacturing Systems
  • Vehicle emissions and performance
  • Optimization and Packing Problems
  • Assembly Line Balancing Optimization
  • Robotics and Automated Systems
  • Smart Materials for Construction
  • Modular Robots and Swarm Intelligence
  • Economic and Technological Innovation
  • Building materials and conservation
  • Quality and Supply Management
  • Transportation and Mobility Innovations
  • Outsourcing and Supply Chain Management
  • Digital Transformation in Industry
  • Environmental Impact and Sustainability
  • Gaze Tracking and Assistive Technology
  • Welding Techniques and Residual Stresses
  • Visual Attention and Saliency Detection
  • Advanced Energy Technologies and Civil Engineering Innovations
  • BIM and Construction Integration
  • Electric Vehicles and Infrastructure
  • Augmented Reality Applications

University of the Aegean
2016-2024

Road freight transportation is already contributing significantly to global warming, and its emissions are predicted grow dramatically in the following years. Carbon footprint calculation can be used assess CO2e understand how an organization’s activities impact sustainability. To this end, main objective of paper initially Green House Gas (GHG) stemming from road transportation. Subsequently, we adopt EN 16258 standard calculate carbon a truck fleet transport operator Greece. Based on...

10.3390/su141710724 article EN Sustainability 2022-08-29

10.24867/ijiem-2020-1-249 article EN cc-by International Journal of Industrial Engineering and Management 2020-03-01

Background: Despite the general impression that digital order-picking supportive technologies can manage a series of emerging challenges, there is still very limited amount research concerning implementation and evaluation such in manual picker-to-goods systems. Therefore, this paper aims to evaluate performance three alternative (i.e., Pick-by-Radio Frequency (RF) Scanner, Pick-to-light, Pick-by-vision) terms completion time perceived workload. Methods: The Design Experiments (DoE)...

10.3390/logistics8010013 article EN cc-by Logistics 2024-01-30

Background: Order picking process is critical for accurate and efficient order fulfilment. Pick-by-vision a promising technology that may support process, however there still limited amount of research concerning the impact this on performance order-picking. The purpose paper to investigate certain operational technical parameters affect pick-by-vision in item-level via series laboratory tests. Methods: A systematic literature review conducted identification performance. Subsequently,...

10.3390/logistics6040084 article EN cc-by Logistics 2022-12-08

Regarding climate change and energy resource problems, cargo movement in the urban environment is essential to shift a more sustainable mode. As cities seek slash transport-related emissions tackle traffic congestion, bike showing itself be an attractive versatile last-mile delivery alternative. To this end, article presents series of datasets for Electric Capacitated Travelling Salesman Problem (EC-TSP). This problem has been built modeling solving e-cargo parcel distribution environments....

10.1016/j.dib.2023.109464 article EN cc-by-nc-nd Data in Brief 2023-07-31

Although various product picking technologies are currently available yet there is still a need for higher productivity and less operational cost. Vision through smart glasses augmented reality seems to be promising technology. The latter uses wearable vision-guided produce faster, hands-free accurate solution industrial operations. aim of this paper provide an overview vision technology identify critical parameters that should taken into consideration system design, development testing....

10.1504/ijlsm.2020.10030521 article EN International Journal of Logistics Systems and Management 2020-01-01
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