Sustainability

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
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
Circular Economy as a Holistic Strategy

Circular Economy as a Holistic Strategy

Complexity management and sustainability
Joseph W. Dörmann
Over the past decades, circular economy has established itself as an important strategy for tackling sustainability challenges. Its holistic approach aims to use resources efficiently and minimize waste. This article aims to identify and evaluate the numerous challenges connected to the successful implementation and expansion of the circular economy approach. Economic, technological, social and political aspects are examined to provide a comprehensive insight into the complexity of the strategy and its implementation. The article concludes that a successful circular economy can only be achieved through the coordinated cooperation of different stakeholders and the development of innovative solutions to the identified challenges.
Industry 4.0 Science | Volume 41 | Edition 1 | Pages 60-67
Hybrid Decision Support in Product Creation

Hybrid Decision Support in Product Creation

Improving performance with data science and artificial intelligence
Iris Gräßler ORCID Icon, Jens Pottebaum ORCID Icon, Peter Nyhuis ORCID Icon, Rainer Stark ORCID Icon, Klaus-Dieter Thoben ORCID Icon, Petra Wiederkehr ORCID Icon
Technical systems are characterized by increasing interdisciplinarity, complexity and networking. A product and its corresponding production systems require interdisciplinary multi-objective optimization. Sustainability and recyclability demands increase said complexity. The efficiency of previously established engineering methods is reaching its limits, which can only be overcome by systematic integration of extreme data. The aim of "hybrid decision support" is as follows: Data science and artificial intelligence should be used to supplement human capabilities in conjunction with existing heuristics, methods, modeling and simulation to increase the efficiency of product creation.
Industry 4.0 Science | Volume 41 | Edition 1 | Pages 18-25 | DOI 10.30844/I4SE.25.1.18
Aiming to Create Green AI

Aiming to Create Green AI

Putting a focus on AI energy efficiency and minimizing the CO2 footprint of AI-based systems
Marcus Grum ORCID Icon, Maximilian Ambros ORCID Icon, Marcel Rojahn ORCID Icon
Reducing CO2 emissions is one of the most urgent tasks of our time. Simultaneously, artificial intelligence is developing rapidly. However, AI often brings about its own significant CO2 impact. Experimental testing of Green AI strategies is therefore crucial for their long-term success. A management tool can support this process so that both users and managers can make optimal use of AI as a tool.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 18-30 | DOI 10.30844/I4SE.24.6.18
Double Transformation in Mechanical and Plant Engineering

Double Transformation in Mechanical and Plant Engineering

Digitalization and sustainability for one-of-a-kind and small-batch manufacturers
Christoph Laroque ORCID Icon, Deike Gliem ORCID Icon, Sigrid Wenzel ORCID Icon
A decisive competitive factor for smaller and medium-sized manufacturers of one-of-a-kind and small batches is their products’ timely completion, delivery and commissioning. Precise logistics planning is just as important as production control. However, the processes are often characterized by uncertainties, e.g. due to local conditions at the customer or cooperation with suppliers. Digital shadows for data evaluation in real time offer a convincing solution.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 10-17 | DOI 10.30844/I4SE.24.5.10
Double Transformation as the Key to Sustainability

Double Transformation as the Key to Sustainability

Methodology for evaluating an AI application in manufacturing companies
Jennifer Link ORCID Icon, Markus Harlacher, Olaf Eisele, Sascha Stowasser
EU regulations demand more intensive and transparent sustainable practices from companies. Industry needs to adapt many processes and products to take charge of this responsibility. Artificial Intelligence (AI) in particular offers innovative potential. Firstly, however, this technology needs to be evaluated focusing on weak AI—market-ready systems that perform specific tasks using algorithms and data-supported models efficiently.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 82-89 | DOI 10.30844/I4SE.24.5.82
Turning in Circles

Turning in Circles

Exploiting the potential of circular economy in wind turbine operations
Sebastian Schlund ORCID Icon, Stefanie Eisl
The decarbonization of the energy sector is crucial for a climate-neutral EU, as a large proportion of greenhouse gas emissions come from energy use. Especially the wind energy sector, with its high material costs, faces major challenges. The rapid expansion of wind energy requires innovative solutions to establish sustainable End-of-Life (EoL) management practices. A digital decision-making framework for sustainable EoL strategies is therefore extremely useful.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 90-98 | DOI 10.30844/I4SE.24.5.90
Transforming Under Pressure

Transforming Under Pressure

An analysis of coping strategies along the value chain in agriculture
Niklas Obermann ORCID Icon, Saskia Hohagen ORCID Icon, Uta Wilkens ORCID Icon
The transformation in production offers the chance to redesign existing value chains. Cooperation between various ecological, social and governmental stakeholders is seen as particularly key to sustainable development. However, little research has been conducted into how companies can best manage the resulting interdependencies. Agriculture is used as an example to examine how businesses can activate resources along the value chain.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 99-106 | DOI 10.30844/I4SE.24.5.99
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