ICCL2021 in a nutshell

Conference that brings together researchers and practitioners working at the interface of large/complex logistics systems and advanced computational methods from the fields of Operations Research, Business Analytics, and Artificial Intelligence.

Special Issue Theme

Authors are invited to submit full papers for publication in Springer's LNCS. A selection of papers will be invited for a special issue in a scientific journal (to be announced). The theme of this special issue: Artificial Intelligence for Logistics Management.

Important dates

Submission deadline full papers: June 10, 2021
Notifications of acceptance: July 9, 2021
Deadline revised camera-ready papers: July 23, 2021
End presenter registration: August 6, 2021
Conference days: September 27-29, 2021


The conference was scheduled to take place at the hotel and conference center U Parkhotel, located at the beautiful campus of the University of Twente, surrounded by parks and high-tech businesses. However, given the COVID-19 situation, we decided to go for fully online.

Bringing together researchers and practitioners in the field of Computational Logistics to present their latest results and findings in a fruitful and open-minded environment.

Computational Logistics comprises the planning and implementation of large/complex logistics tasks using computations and advanced decision support systems. It is applied in various areas, such as the flow and storage of goods or services as well as of related information from their source to their destinations. Typically, optimization models and algorithms are developed, verified and applied for planning and executing complex logistics tasks, e.g., for finding the most efficient scheduling/plan for the transport of passengers or goods. The models and algorithms are integrated with advanced computer technology to get satisfactory results in appropriate time even for large scale problem instances and providing interactivity, visualization etc., for a better understanding and problem solution. Computational Logistics also involves the use of information systems and modern communication and information technology (IT) for the design, planning and control of logistics networks as well as the complex tasks within them.

Topics to be covered include (but are not limited to):
  • Operations Research and Management in logistics
  • Routing problems
  • Emergency logistics
  • Reverse logistics
  • Crowd logistics
  • Freight transportation
  • Green supply chain
  • Metropolitan/city logistics
  • Smart Agro-Logistics
  • Uncertainty modelling in planning and control
  • Large-scale evolutionary optimization in logistics
  • Multi-agent systems in logistics
  • Self-organizing logistics
  • Internet of things in smart logistics
  • Artificial Intelligence in logistics
  • Machine learning applications in supply chain
  • Last generation ICT networks
  • Port smart logistics
  • ICT in logistics
  • Computational issues in foreign trade supply chains
  • Facility (re-)layout decision problems