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