SCOPE

This conference focuses on research and development involving innovative methods, software and hardware, whereby intelligent systems are applied to industrial production and logistics. This is currently related to the concept of industry 4.0 - an expression reflecting the trend towards automation and data exchange in manufacturing technologies and processes which include cyber-physical systems, the industrial internet of things, industrial robotics, cloud computing, cognitive computing and artificial intelligence. These technologies can be applied to industrial manufacturing and management as well as to supply-chain or logistic problems, involving for example transportation management or the optimization of operations.

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. INDUSTRY OF THE FUTURE
2. LOGISTICS

AREA 1: INDUSTRY OF THE FUTURE

    AI-Enhanced Cyber-Physical Systems
    Internet of Things and Services
    Cloud-based Manufacturing Technologies
    Smart Manufacturing Systems & Network
    Green Intelligent Systems
    Knowledge Management in Industry
    New Advances in Industrial Automation and Robotics
    Digital Transformation Strategies of Industrial Enterprises
    Best Practices for Digital Transformation in Industry
    Effects of Industrial Digital Transformation on Society and Environment
    Artificial Intelligence Techniques for industry
    Production Planning, Scheduling and Control
    Living Manufacturing Systems
    Systems Modeling and Simulation
    Digital Twins
    Artificial Intelligence applied to Intelligent Manufacturing
    Cognitive Digital Twins
    Production Circularity
    Digital Platforms for Circularity
    Digital Platforms for Traceability

AREA 2: LOGISTICS

    Informatics Applications
    Big Data and Data Analytics
    Enterprise Resource Planning
    Supply Chain and Logistics Engineering
    Digital Business Ecosystems in Logistics
    Semantic Interoperability Industry
    Supply Chain Resiliece
    Generative AI in Supply Chain and Logistics