PPS

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
Introduction of an Engineering Data Management System

Introduction of an Engineering Data Management System

Einsatzbereiche und Nutzen
Ralf Scholle
EDM systems manage the lifecycle of technical projects. They administer different kind of documents and data and demand often a high integration in existing CAD- and ERP systems. The demands on the EDM systems vary from company to company. In most cases the adaptability of the solution instead of technical features are demanded. The timeframe of the introduction depends on the complexity of the solution and the integration into the existing IT-architecture. The introduction of an average complex solution takes two to three month.
Industrie Management | Volume 23 | 2007 | Edition 4 | Pages 61-64