Call for Papers

    Call for Papers
    The 6th International Conference on Dynamics in Logistics (LDIC 2018) will be held in Bremen (Germany) from 20th to 22nd of February 2018 and will be accompanied by several satellite events. Springer will publish the proceedings of the conference.
    Scope of the Conference

    Dynamics of logistic processes and networks are at the heart of the conference. The spectrum of topics reaches from the modeling, planning and control of processes over supply chain management and maritime logistics to innovative technologies and robotic applications for cyber-physical production and logistics systems. The growing dynamics confronts the area of logistics with completely new challenges: it must become possible to identify, describe and analyze the process changes. Moreover, logistic processes and networks must be revised to be rapidly and flexibly adaptable to continuously changing conditions. 
    LDIC 2018 provides a forum for the discussion of advances in that matter. The conference addresses scientists in logistics, operations research, engineering, and computer science. It aims at bringing together researchers and practitioners interested in dynamics in logistics.

    Topics of interest include, but are not limited to:
    Supply Chain Management and Coordination
    • New business models
    • Collaborative planning and control
    • Supply chain resilience and risk management
    Maritime Logistics
    • Port operations, seaport hinterland transport
    • Multi-modal transport
    • Logistics for offshore wind farms
    • Maritime clusters
    Cyber-physical Production and Logistic Systems
    • Internet of things and services
    • Intelligent transport systems
    • Distributed planning and control
    • Sensors and sensor networks
    Robotics in Logistics
    • Future visions and applications
    • Human-robot collaboration
    • Mobile robots and robot-robot collaboration
    • On-line planning
    Advanced Modelling Techniques
    • Simulation and system dynamics
    • Automatic model generation and model transformation
    • Big Data in transport and logistics, data analytics and predictive analytics