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Assessment of Technical Cleanliness in the Production Process of Lithium-Ion Battery Cells for Automotive Applications

Assessment of Technical Cleanliness in the Production Process of Lithium-Ion Battery Cells for Automotive Applications

Laura Meusel, Bernd Rosemann, Michael Morawiec
Technical cleanliness as a quality feature in the automotive industry is continuously growing in importance. In this context, particularly high cleanliness requirements are placed on battery cells for electric vehicles, which must be adhered to along the value chain. This paper will introduce an assessment method for the analysis of technical cleanliness in the production process of lithium-ion- cells as well as revealing potential failure causes.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 19-23
Data as Basis for Business Models

Data as Basis for Business Models

Recommendations for Competitive Predictive Maintenance Business Models
Sven Seidenstricker, Saskia Ramm, Barbara Dinter
The combination of product service systems and big data requires a change in the existing, traditional business models and a repositioning of the companies. Since these changes are often a challenge, this article uses the example of predictive maintenance to present the influences of big data and product service systems on the business models of medium-sized companies in mechanical and plant engineering. Based on a systematic literature review in combination with expert interviews, numerous practical business model implications were obtained, providing sound guidance for industry representatives.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 33-36 | DOI 10.30844/IM_22-6_33-36
Demand Planning Falcon

Demand Planning Falcon

Precise stochastic demand calculation with a newly developed digital planning method
Alexander Schmid, Thomas Sobottka, Samuel Luthe, Wilfried Sihn
Precise stochastic demand calculation is the key to successful material planning, i. e. to always have exactly the right quantity on hand. However, decision-makers are faced with the dilemma of which of the many forecasting methods they should use, adapted to the item properties as much as possible. This paper examines the optimization potential of a self-developed automatically optimizing forecasting approach based on ten common forecasting methods, which are evaluated using two case studies from the capital goods industry.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 47-50 | DOI 10.30844/IM_22-6_47-50
Digital Twins for Circular Economy

Digital Twins for Circular Economy

Enabling Decision Support for R-Strategies
Janine Mügge, Inka Rebekka Hahn, Theresa Riedelsheimer ORCID Icon, Johannes Chatzis
Digital twins (DT) for circular economy (CE) offer a promising approach as part of digital data ecosystems for more sustainable value creation. By mapping and analyzing product, component and material specific data along the li- fecycle, it is possible to address current challenges such as climate change and resource scarcity. Within Catena-X, specific solutions based on this cross-company exchanged data and information are developed. Here, the “R-Strategy Assistant” is presented. It is an application, which identifies the best CE-Strategy based on DT data at the end of a vehicle's life.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 42-46 | DOI 10.30844/IM_22-6_33-36
Design of Circular Business Models

Design of Circular Business Models

Insight from Science and Practice
Jonas Brinker ORCID Icon, Jan Heinrich Beinke, Oliver Thomas, Ingo Westphal, Klaus-Dieter Thoben ORCID Icon, Barbara Gleede
Resource-efficient businesses have become increasingly important for companies in recent years. Although this brings new potentials, the practical implementation in the form of suitable business models is accompanied by challenges. In this paper, we will examine which concepts and methods already exist for the development of circular and resource- efficient business models and show approaches and solutions from science and practice using the example of interdisciplinary research projects.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 9-13 | DOI 10.30844/IM_22-6_9-13
How to Gaia-X?

How to Gaia-X?

Erik Konietzko, Cansu Tanrikulu, Florian Schwarz, Kai Lindow ORCID Icon, Christoph Heinbach, Henning Gösling, Oliver Thomas
How can organisations successfully participate in interoperable and decentralised data ecosystems? To answer this question, this paper presents a process model using the transport logistics industry as an example, which methodically describes the collaborative and interdisciplinary development of services in the decentralised federated data ecosystem Gaia-X [6]. The model supports evaluation and decision-making processes within the development of decentralised data ecosystems in practice and helps IT decision-makers and participating stakeholders to identify the relevant communication flows in a use case. It can be used independently for specific use cases, data spaces and connector technologies and ensures that the communication and alignment of individual development statuses in a decentrally organised framework is comprehensible and understandable for the overall context.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 54-58 | DOI 10.30844/IM_22-6_54-58
Industrial Subscription Business Models

Industrial Subscription Business Models

How Several Players Benefit in a Subscription Ecosystem
Markus Burger, Julia Arlinghaus ORCID Icon
Following the success of subscription models such as Netflix or Spotify in the IT and multimedia sector, the implementation of Industry 4.0 is increasingly creating the conditions for offering comparable models in the industrial context. Accordingly, pioneers are offering subscription models for printing machines, compressors or locomotives, for example. Providers do not act alone, but are supported in the design and implementation of the subscription offer by various players such as financiers, insurance companies or digitization service providers. This creates what is known as a subscription ecosystem. This article sheds light on these ecosystems and shows to what extent which players can participate in industrial subscription models. Depending on customer acceptance of these models, a wide variety of companies have the opportunity to benefit from the subscription trend and to tap into new markets and customer groups
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 63-66
Information Exchange in the Maritime Supply Chain

Information Exchange in the Maritime Supply Chain

Johannes Schnelle ORCID Icon, Wolfgang Kersten ORCID Icon
Blockchain is seen as an enabler to increase the efficiency, transparency, and security of information exchange in supply chains. An important application area is maritime logistics, as blockchain facilitates the digitalization of documents and increases the efficiency of the processes. In this article, we elaborate on the example of temperature-controlled container transports the potential for adopting blockchain and the requirements to be considered from the technological and organizational environment.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 29-32 | DOI 10.30844/IM_22-6_29-32
Challenges of Digitalization in Intermodal Transport

Challenges of Digitalization in Intermodal Transport

Data models for the exchange of planning data for regional freight tram transportation
Jonas Ziegler, Ingo Dittrich, Theo Lutz ORCID Icon, Lisa Fäßler
The logistics industry is currently being confronted with various challenges, such as the lack of drivers, global disruptions to supply chains and the environmental impact of freight transport. In a comparison between the modes of transport, this speaks for a greater shift in freight transport from road to rail. In this article, the challenges for this shift are examined and it is shown to what extent data models can simplify the transport planning and economic assessment of regional freight tram transports. (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 59-62
Platform Economy Without a Platform

Platform Economy Without a Platform

How DAOs could make Industry 4.0 more efficient
Andreas Wagener
The application of blockchain and smart contracts also enables the building and operation of decentralized autonomous organizations (DAOs). While DAOs are already regularly in use in other areas – e. g. the financial sector − there has hardly been any application in an industrial environment, although, digitalisation and the upcoming of the "Internet of Things" have created a fruitful environment. This article looks at possible economic approaches to adaptation and explores potential business models that could result from the establishment of DAOs in Industry 4.0. (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 51-53
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