Branche: Manufacturing

Data-Driven Assistance Systems in the Working Environment

Data-Driven Assistance Systems in the Working Environment

Efficient development of target group-specific BI dashboards in companies
Martin Schmauder ORCID Icon, Gritt Ott ORCID Icon, Martin Hahmann
Dashboards play a key role in informed business decisions. Based on findings from an action research process, this article shows how company-specific solutions can be systematically developed and bad investments avoided. The provision of IT capacities, securing data access, formulating requirements, and developing the data model prove to be particularly critical.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 136-143 | DOI 10.30844/I4SE.25.5.130
Developing Data Standards in Battery Cell Manufacturing

Developing Data Standards in Battery Cell Manufacturing

From requirements analysis to standard development procedure
David Roth, Tom Hülsmann, Felix Tidde
The growing demand for battery cells offers significant potential for the use of digital solutions in their manufacture, which in turn creates opportunities for added value through adaptive and flexible production systems. A key enabler is interoperable data exchange based on formalized data descriptions. Existing ontologies and information models remain too abstract for direct implementation. This paper presents a requirements analysis of data standards in battery cell manufacturing. A procedure for developing domain-specific standards based on OPC UA (Open Platform Communications Unified Architecture) is derived from the results.
Industry 4.0 Science | Volume 41 | 2025 | Edition 4 | Pages 96-103
Proactive Skill Development in Logistics Management

Proactive Skill Development in Logistics Management

The future of dynamic work contexts
Michael Heins
Smooth logistics management is fundamental for companies to function effectively. This is challenged by actor- and organization-related barriers in production planning and management. The Berufliche Hochschule Hamburg fosters the skills that individuals need to overcome obstacles in digitalized working environments. This concept is presented in the following article.
Industry 4.0 Science | Volume 41 | 2025 | Edition 4 | Pages 22-28
Increasing Resilience in Logistics with IT

Increasing Resilience in Logistics with IT

Investigating supply chain risk management information systems
Alexander Baur, Jasmin Hauser, Dieter Uckelmann ORCID Icon
The blockage of the Suez Canal in 2021, caused by the accident involving the container ship Ever Given, clearly illustrates the need to design global supply chains in such a way that they can respond quickly to disruptions. In a volatile, uncertain, complex, and ambiguous (VUCA) environment, conventional logistics processes that focus on efficiency, and supply chain management methods in particular, are increasingly reaching their limits. Resilience, achieved through a combination of robustness and agility, is essential to ensure responsiveness. This article analyzes how risk management information systems (RMIS) can increase resilience. The analysis covers data availability, data transparency, modeling and simulation of risk scenarios, and the development of appropriate emergency action plans. Despite existing challenges in designing IT infrastructure, the measures mentioned have the potential to increase resilience in logistics.
Industry 4.0 Science | Volume 41 | Edition 4 | Pages 36-42
Digital Twins for Production and Logistics Systems

Digital Twins for Production and Logistics Systems

Challenges and focus areas in implementation and use
Deike Gliem ORCID Icon, Nicolas Wittine ORCID Icon, Sigrid Wenzel ORCID Icon
For a successful implementation as well as sustainable use and maintenance of digital twins for production and logistics systems, it is necessary to identify relevant use cases and master the associated challenges. This paper analyzes scientific literature on common applications and challenges in the implementation of digital twins for the planning and operation of production and logistics systems. To confirm the practical relevance of the results, the results of an empirical survey have also been included. The findings are used to derive key focus areas for the successful implementation and long-term use of digital twins in production and logistics.
Industry 4.0 Science | Volume 41 | 2025 | Edition 3 | Pages 42-49 | DOI 10.30844/I4SE.25.3.42
Enabling the Future of Manufacturing with Digital Twins

Enabling the Future of Manufacturing with Digital Twins

Opportunities and obstacles
Javad Ghofrani, Darian Lemke, Tassilo Söldner
Digital twins connect physical and digital systems, furthering efficiency, enabling predictive maintenance, and allowing the production of more customized products. Despite these advantages, challenges such as high costs, data synchronization, and security risks hinder widespread adoption. This article explores the potential of digital twins and examines key barriers to integration and implementation, also considering some industrial applications including additive manufacturing as a relevant use case.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 72-81
Digital Twins for Production

Digital Twins for Production

RAPIDZ — Resource analysis and process integration through digital twins
Christian Salzig ORCID Icon, Julia Burr ORCID Icon, Sophie Hertzog
In today’s manufacturing industry, digital twins are a key enabler for optimizing production processes and efficient resource use. However, creating digital twins is often associated with high or difficult-to-estimate costs and typically requires unknown characteristic values, such as material parameters, making practical implementation challenging. With RAPIDZ, we present a tool for creating and using digital twins that overcomes these barriers through its modular structure. The virtual modeling of physical systems enables comprehensive analysis and real-time forecasting of material flows, energy consumption and machine performance. The use of RAPIDZ increases production line efficiency, enhances flexibility and response time, and enables proactive maintenance to minimize downtime.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 6-12 | DOI 10.30844/I4SE.25.3.6
Open-Source and Cost-Effective Digital Twin

Open-Source and Cost-Effective Digital Twin

A case study with two weeks to succeed
Shantall Cisneros Saldana ORCID Icon, Sonali Pratap, Parth Punekar, Sampat Acharya, Heike Markus ORCID Icon
Digital Twin (DT) adoption remains a challenge due to high costs, complexity and lack of skills. This study proposes a cost-effective, TRL 5-validated DT model that can be built using open-source and office suite tools within just two weeks. Integrating real-time sensor data, predictive analytics, anomaly detection and notification, the model improves efficiency and sustainability in agriculture. Even with cloud service constraints, the system delivers a 7.76% average relative error and rapid, automated notifications. The findings show how open-source in combination with common commercial tools technologies can make advanced digital tools accessible to all, creating scalable, human-centered, and affordable solutions in line with Industry 5.0 principles.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 62-68 | DOI 10.30844/I4SE.25.3.62
The “InTraLab” Learning Factory

The “InTraLab” Learning Factory

Gaining experience and knowledge in digitally transformed work environments
Norbert Gronau ORCID Icon, Malte Teichmann
Learning factories offer a practical environment for simulating production processes in which learners can acquire skills through the direct application of new technologies. The Industrial Transformation Lab (InTraLab) models hybrid production processes by combining real-world demonstrators and virtual simulations. This enables learners to acquire the skills that are crucial for the digitally transformed world of work.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 46-51
Boosting Competitiveness in Small Batch Production

Boosting Competitiveness in Small Batch Production

Scalable and flexible body-in-white production line with collaborative mobile robots
Walid Elleuch, Tadele Belay Tuli ORCID Icon, Martin Manns ORCID Icon
Due to the higher customization of products to customer groups and needs, body-in-white manufacturing industries are facing higher variant assembly at the later stages of the production line, thus increasing production costs per unit. Flexible production processes that involve flexible material flows, non-rigid manufacturing sequences, and the automatic reconfiguration of tools are regarded as the pillars of a resilient production system. This article presents a conceptual solution for flexible Body-in-White sheet metal production with autonomous collaborative robotic systems to make product costs affordable for a higher competitive advantage.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 60-67
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