Autor: Jonas Schneider

Automation of Production Planning and Control

Automation of Production Planning and Control

A deep dive into production control with intelligent agents
Jonas Schneider, Peter Nyhuis ORCID Icon, Matthias Schmidt
How can artificial intelligence (AI) automate production planning and control? This study examines its potential to enhance efficiency in modern production environments. The focus is on establishing a robust data infrastructure that integrates real-time, historical, and contextual data to create a solid basis for AI models. Reinforcement learning (RL) is applied to aid automation. A roadmap for implementation, focusing on practical application, is presented. This roadmap incorporates simulation-based training methods and outlines strategies for continuous improvement and adaptation of production processes.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 86-93 | DOI 10.30844/I4SE.25.5.84
Digital Document Management – Methodical Support for the Introduction of Document Management Software in Production Environment

Digital Document Management - Methodical Support for the Introduction of Document Management Software in Production Environment

Methodische Unterstützung zur Einführung von Dokumenten-managementsystemen in produktionsnahen Unternehmensbereichen
Stefan Treber, Emanuel Moser, Jonas Schneider, Gisela Lanza ORCID Icon
Industrial companies face the challenge to manage an increasing number of documents digitally and reliably. Document Management Software (DMS) enables the efficient generation, retrieval and filing of documents. However, the range of software solutions is vast. Furthermore, many introduction projects fail due to inherent organizational challenges. This article introduces a methodology for preparing the successful implementation of a DMS in both theory and practice.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 4 | Pages 17-20