A Universal Framework for Skill-Based Cyber-Physical Production Systems

In the vision of smart manufacturing and Industry 4.0, it is vital to automate production processes. There is a significant gap in current practices, where the derivation of production processes from product data still heavily relies on human expertise, leading to inefficiencies and a shortage of sk...

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Bibliographic Details
Published inJournal of Manufacturing and Materials Processing Vol. 8; no. 5; p. 221
Main Authors Hossfeld, Max, Wortmann, Andreas
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.10.2024
Subjects
Advanced manufacturing technologies
automated production planning
Automation
Backup software
Case studies
cyber–physical production systems
Decision making
Forecasts and trends
Human bias
Industrial applications
industrial engineering
Industry 4.0
Knowledge
Manufacturing
Middleware
model-driven development
Multiple criterion
Optimization
Process engineering
Process planning
Process selection
Production planning
Programming languages
skill-based manufacturing
Skilled labor
Skills
Small & medium sized enterprises-SME
Software development
Software engineering
software-defined manufacturing
Subject specialists
Value creation
Germany
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Summary:In the vision of smart manufacturing and Industry 4.0, it is vital to automate production processes. There is a significant gap in current practices, where the derivation of production processes from product data still heavily relies on human expertise, leading to inefficiencies and a shortage of skilled labor. This paper proposes a universal framework for skill-based cyber–physical production systems (CPPS) that formalizes production knowledge into machine-processable formats. Key contributions include a novel conceptual model for skill-based production processes and an automated method to derive production plans from high-level CPPS skills for production planning and execution. This framework aims to enhance smart manufacturing by enabling more efficient, transparent, and automated production planning, thereby addressing the critical gap in current manufacturing practices. The framework’s benefits include making production processes explainable, optimizing multi-criteria systems, and eliminating human biases in process selection. A case study illustrates the framework’s application, demonstrating its current capabilities and potential for modern manufacturing.
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ISSN:2504-4494
2504-4494
DOI:10.3390/jmmp8050221