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The competitive pressure in the contract logistics industry is intense. Logistics providers must respond to tenders quickly and with convincing concepts. This article presents initial approaches to how logistics process planning in tender management can be supported using supervised learning methods. Under the premise that similar processes from past projects can be transferred and adapted to a project to be planned, an AI-based assistance system suggests appropriate process steps and MTM (Methods-Time Measurement) codes during planning. This procedure can accelerate process planning and lead to an increased quality of logistics processes to be planned. (Only in German)

Warehousing is a very labor- and cost-intensive task in many companies. Digitization and automation of manual warehouse processes can increase efficiency, reduce costs and relieve employees. Collaborative robots that share work tasks with employees are increasingly used in warehouses. However, the pure techno-centric use of such robots can negatively influence the acceptance of human-robot collaboration. Various influences such as fear of job loss, higher cognitive stress, expected extra effort, or concerns about injuries can hinder human-robot collaboration and negatively impact economic benefits. This paper presents possible barriers to the acceptance of collaborative robotics in warehouses and discusses recommended actions for human-centered, sustainable human-robot collaboration.

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

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)

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)