Conference Information

IN4PL 2026: International Conference on Innovative Intelligent Industrial Production and Logistics

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Submission Date:
2026-05-19
Notification Date:
2026-07-17
Conference Date:
2026-10-29
Location:
Angers, France
Years:
7
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Call For Papers

IN4PL 2026 (International Conference on Innovative Intelligent Industrial Production and Logistics) is an academic conference held in Angers, France on 2026-10-29. The paper submission deadline is 2026-05-19. Acceptance notifications are sent on 2026-07-17.

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 Artificial Intelligence Techniques for industry Production Planning, Scheduling and Control Systems Modeling and Simulation Digital Twins Artificial Intelligence applied to Intelligent Manufacturing Cognitive Digital Twins Production Circularity Big Data and Data Analytics Semantic Interoperability Industry Systems Interoperability AREA 2: LOGISTICS Supply Chain and Logistics Engineering Digital Business Ecosystems in Logistics Supply Chain Resiliece Generative AI in Supply Chain and Logistics
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