Volume 3 (2023)


 

Recent Submissions

  • Schuh, Günther; Hamm, Carolin (Hannover : publish-Ing., 2023)
    Deep technology (DT) startups develop physical products based on cutting-edge technologies to create entirely new markets. Consequently, they have a comparably high demand for specialized infrastructure, expert knowledge ...
  • Schuh, Günther; Scholz, Patrick; Volbert, Ludwig; Brennert, Julia (Hannover : publish-Ing., 2023)
    Due to the increasing internationalization of markets, rising cost pressure, and shortened product life cycles, manufacturing companies are facing increasing competition and innovation pressure. To secure competitiveness, ...
  • Brede, Sebastian; Küster, Benjamin; Overmeyer, Ludger (Hannover : publish-Ing., 2023-07)
    There are many datasets available for various applications. Datasets, however, that consist of production data (such as Computer Aided Design, CAD) are scarce. There is no dataset that provides data for the whole process ...
  • Schuh, Günther; Latz, Tim; Jakob, Tobias (Hannover : publish-Ing., 2023)
    The term Deep Tech is receiving major attention from start-ups, venture capitalists, and governmental decision makers as this special group of technology does have a strong impact on societies and national innovation ...
  • Hook, Justin; Kik, David; Nyhuis, Peter; Spengler, Thomas S. (Hannover : publish-Ing., 2023)
    Location planning is crucial to a company’s long-term success. The increasing concentration of companies in urban areas poses new challenges for regional location planning. For companies to make good long-term location ...
  • Leckel, Anja; Linnartz, Maria (Hannover : publish-Ing., 2023)
    Numerous start-ups and now even some major corporates are currently trying to improve visibility and foresight in the manufacturing industry through connected supply chains, or in other words, through increased data sharing. ...
  • Mütze, Alexander; Lebbing, Simon (Hannover : publish-Ing., 2023)
    Setup-optimised dispatching at work systems is the subject of many investigations and studies. The considerations range from developing corresponding heuristics and analysing their effects on achieving logistical objectives ...
  • Schuh, Günther; Scheuer, Thomas; Padovano, Riley Colleen (Hannover : publish-Ing., 2023)
    Manufacturing enterprises encounter pressure to digitalize and increase their intelligence as their environments demand improved productivity and agility. Based on existing research on intelligent enterprises, manufacturing ...