circular economy

Loam Construction and Wooden Shelving

Loam Construction and Wooden Shelving

A contribution to sustainability in warehouse logistics
Viviano De Giacomo ORCID Icon, Nathalie Fritsch ORCID Icon, Jakob Kennert ORCID Icon, Dieter Uckelmann ORCID Icon
This study examines the contribution of natural building materials, in particular loam and wood, to the sustainable development of logistics infrastructure, assessing ecological, economic, and technical dimensions across the entire life cycle. Potentials, restrictions, and supportive framework conditions are identified based on literature analyses and expert interviews. Wood proves to be technically mature and ecologically advantageous, especially in high rack construction, while loam offers high potential for energy- and resource-efficient construction. The study concludes with recommendations for research, policy, and practice to establish circular construction methods in logistics.
Industry 4.0 Science | Volume 41 | Edition 6 | Pages 82-89
Sustainability Information Across the Supply Chain

Sustainability Information Across the Supply Chain

Structured requirements analysis for using sustainability data in networks
Lina Keefer, David Koch ORCID Icon, Ann-Kathrin Briem, Shaoran Geng
Sustainability has gained increasing importance for all stakeholders in the value creation network in recent years. As a result, companies are working to optimizr their products and processes with respect to the three dimensions of sustainability. To responsibly design production systems that are sustainable in the long term, continuous data exchange between all actors in the value creation network is essential. Both in early product development and in production planning and execution, reliable information and corresponding decision support are crucial. The following article addresses the structured collection of requirements that companies in the automotive industry have for a data model and methodology to enable decision support.
Industry 4.0 Science | Volume 41 | Edition 4 | Pages 52-58
I4S 3/2025: Digital Twin

I4S 3/2025: Digital Twin

Innovative concepts for manufacturing, logistics, and learning environments
In the connected world, digital twins open up completely new possibilities: they virtually replicate physical systems, processes, or products. However, key challenges remain, including the collection of current product data. This issue of Industry 4.0 Science covers a wide range of topics, from the basic concept of the digital twin to its benefits in procurement and its use in supply chain management.
Strategic Product Planning Model

Strategic Product Planning Model

Digital twins for circular products and production processes
Iris Gräßler ORCID Icon, Sven Rarbach, Benedikt Grewe
Strategic Product Planning must adapt to current challenges such as circular economy, digital business models and interdisciplinarity. Established process models, for example, can only be applied to Product-Service Systems to a limited extent. This article presents a new SPP model developed through an analysis of 230 existing approaches and enhanced by the integration of digital twins, enabling continuous feedback throughout the entire product life cycle. This allows product monitoring and dynamic adjustments to the SPP. The model adopts an agile, iterative framework consisting of five cyclical key activities, guided by five control points aligned with increasing levels of maturity. By factoring in circularity from the outset, the model promotes resource-efficient products and production processes. Its emphasis on flexibility, information circularity and sustainability ensures future value and adaptability across industries of the proposed SPP model.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 24-31 | DOI 10.30844/I4SE.25.3.24
Data Quality in the Engineering of Circular Products

Data Quality in the Engineering of Circular Products

Decision support for circular value creation through data ecosystems
Iris Gräßler ORCID Icon, Sven Rarbach, Jens Pottebaum ORCID Icon
Decisions affecting the sustainability of products are made during the engineering process. As product engineering progresses, statements on sustainability can also be substantiated. Initially, only estimates based on related products and processes are possible, but later, operational and machine data can be used. When metrics are used for key figures, the traceability of the data should be ensured. For this purpose, relevant data quality criteria and indicators are selected and analyzed for correlations. Data availability can be increased by relying on partners within data ecosystems for product engineering. Data spaces such as Gaia-X, Catena-X and Manufacturing-X form a basis for this ambition.
Industry 4.0 Science | Volume 41 | 2025 | Edition 2 | Pages 12-19 | DOI 10.30844/I4SE.25.2.12
Why Moving Toward a Circular Economy Is Crucial

Why Moving Toward a Circular Economy Is Crucial

The ten R-Strategies of sustainable management
Ralf T. Kreutzer
As environmental challenges such as climate change and resource scarcity intensify, with Earth Overshoot Day highlighting overconsumption, the circular economy emerges as a crucial solution. Legislation at the national and EU level obliges companies to become more sustainable. Simultaneously, the circular economy strengthens economic resilience, promotes innovation and creates competitive advantages. However, the impact on the labor market is controversial, as fewer primary resources and new products are needed. Sustainable corporate management requires a balanced consideration of the triple bottom line: Planet, People, and Profit, treating each as equally important. In contrast to the linear economy, the circular economy follows the ‘cradle to cradle’ principle and integrates the ten R-Strategies of sustainability. These strategies range from refuse (avoidance) and reduce (reduction) to recycling and repurpose (reuse). Companies should identify which strategies can be swiftly ...
Industry 4.0 Science | Volume 41 | 2025 | Edition 2 | Pages 68-76
I4S 2/2025: The Future of Production with AI, Cobots and Virtual Worlds

I4S 2/2025: The Future of Production with AI, Cobots and Virtual Worlds

Technology needs innovative, value-adding business models
Artificial intelligence, collaborative robotics, and virtual worlds, such as the metaverse, are fueling visions for new forms of industrial value creation. However, innovation alone is not enough—given that these technologies only develop their full potential through intelligent business models. How can companies efficiently integrate AI-supported automation, cobots and digital twins into their processes?
Increasing Supply Chain Resilience with Reverse Logistics

Increasing Supply Chain Resilience with Reverse Logistics

Hypotheses for a value model
Jürgen Hamann ORCID Icon, Christoph Wenig ORCID Icon
Manufacturing companies incorporate reverse logistics as a building block of the circular economy for greater sustainability. Case studies show that this can result in strategic opportunities. This article summarizes an analysis of expert interviews on the increase in supply chain resilience attributed to reverse logistics. Potential benefits are highlighted, and companies are encouraged to examine the approach and implement innovative solutions. The result is a hypothesis-based value model that serves as an orientation aid for decision-makers.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 34-40
Circular Economy Enabled by Digitization

Circular Economy Enabled by Digitization

Digital networking in the procurement of manufacturing companies
Pius Finkel ORCID Icon, Peter Wurster ORCID Icon, David Pfister
Current developments in digitalization and data economy, especially multilateral data sharing platforms, offer the potential to accelerate the implementation of circular economy practices in the manufacturing industry. This article systematically examines the extent to which digitalization could serve as a catalyst for circular economy in the procurement of such companies. As a basis for the following research, eight experts from five leading global manufacturers and suppliers in the automotive and aviation industries were interviewed. This article demonstrates practical hypotheses for the sustainable design of supply chains and proposes two specific use cases for circular economy practices that can proactively counteract the use of resources.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 26-33 | DOI 10.30844/I4SE.25.1.26
I4S 1/2025: 40 Years of Digital Transformation in Manufacturing

I4S 1/2025: 40 Years of Digital Transformation in Manufacturing

Key research questions for tomorrow's production and logistics
Digital transformation has been a central focus of scientific discussions for years. Questions relating to data-driven decisions, artificial intelligence and resilient supply chains are at the heart of current research. The articles in this issue explain key trends and present scientific findings and practical solutions - from automation and the circular economy to cloud computing.
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