@article{PfaffEnningSutter2022,
  author    = {Pfaff, Raphael and Enning, Manfred and Sutter, Stefan},
  title     = {A risk‑based approach to automatic brake tests for rail freight service: incident analysis and realisation concept},
  series = {SN Applied Sciences},
  volume    = {4},
  journal   = {SN Applied Sciences},
  number    = {4},
  publisher = {Springer},
  address   = {Cham},
  issn      = {2523-3971},
  doi       = {10.1007/s42452-022-05007-x},
  pages     = {1 -- 14},
  year      = {2022},
  abstract  = {This study reviews the practice of brake tests in freight railways, which is time consuming and not suitable to detect certain failure types. Public incident reports are analysed to derive a reasonable brake test hardware and communication architecture, which aims to provide automatic brake tests at lower cost than current solutions. The proposed solutions relies exclusively on brake pipe and brake cylinder pressure sensors, a brake release position switch as well as radio communication via standard protocols. The approach is embedded in the Wagon 4.0 concept, which is a holistic approach to a smart freight wagon. The reduction of manual processes yields a strong incentive due to high savings in manual labour and increased productivity.},
  language  = {en}
}
@article{LuftBremenLuft2023,
  author    = {Luft, Angela and Bremen, Sebastian and Luft, Nils},
  title     = {A cost/benefit and flexibility evaluation framework for additive technologies in strategic factory planning},
  series = {Processes},
  volume    = {11},
  journal   = {Processes},
  number    = {7},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2227-9717},
  doi       = {10.3390/pr11071968},
  pages     = {Artikel 1968},
  year      = {2023},
  abstract  = {There is a growing demand for more flexibility in manufacturing to counter the volatility and unpredictability of the markets and provide more individualization for customers. However, the design and implementation of flexibility within manufacturing systems are costly and only economically viable if applicable to actual demand fluctuations. To this end, companies are considering additive manufacturing (AM) to make production more flexible. This paper develops a conceptual model for the impact quantification of AM on volume and mix flexibility within production systems in the early stages of the factory-planning process. Together with the model, an application guideline is presented to help planners with the flexibility quantification and the factory design process. Following the development of the model and guideline, a case study is presented to indicate the potential impact additive technologies can have on manufacturing flexibility Within the case study, various scenarios with different production system configurations and production programs are analyzed, and the impact of the additive technologies on volume and mix flexibility is calculated. This work will allow factory planners to determine the potential impacts of AM on manufacturing flexibility in an early planning stage and design their production systems accordingly.},
  language  = {en}
}