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Tytuł artykułu

Development of an Automated Environment for a Fast Computing and CAD Based Optimization Combined With a Visualization Tool in the Layout Planning

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Automatized optimization is useful in generation of appropriate possibilities and is an important and useful tool in the CAD based layout planning. To evaluate the CAD data mathematically and to reduce the amount of data and hence the computing time, in advance there are a lot of steps to do. Combined with a realistic and immersive solution, using the latest hard and software, one can get an excellent impression early in the planning phase.
Rocznik
Strony
153--165
Opis fizyczny
Bibliogr. 17 poz., il., schem., wykr.
Twórcy
autor
  • Technische Hochschule Köln, University of Applied Sciences
  • Technische Hochschule Köln, University of Applied Sciences
  • Technische Hochschule Köln, University of Applied Sciences
Bibliografia
  • 1. Badura, B., Ducki, A., Schröder, H., Klose, J., and Meyer, M. (2016). Fehlzeiten-Report 2016: Unternehmenskultur und Gesundheit-Herausforderungen und Chan cen. Springer-Verlag.
  • 2. Bauer,W. and Pross, A. (2015). Lightwork – benutzerakzeptanz und energieeffizienz von LED-Beleuchtung am Wissensarbeitsplatz. Fraunhofer IAO, 14f., 28. Gora, Przemyslaw; Leibetseder, Lukas, 2016, Unreal vs. Unity - Comparison between two modern Game-Engines.
  • 3. de Jonge, J., Dormann, C., Fraccaroli, F., and Sverke, M. (2017). Why is my job so stressful? characteristics, processes and models of stress at work. An Introduction to Work and Organizational Psychology: An International Perspective, pages 80–101.
  • 4. Engine, U. (2017). Unreal engine end user licence agreement. Available 30.05.2017 – date 30.05.2017: https://www.unrealengine.com/eula.
  • 5. Hart, P. E., Nilsson, N. J., and Raphael, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE transactions on Systems Science and Cybernetics, 4(2):100–107.
  • 6. Jamal, M. (1984). Job stress and job performance controversy: An empirical assessment. Organizational behavior and human performance, 33(1):1–21.
  • 7. Kuehn, W. (2006). Digital factory: integration of simulation enhancing the product and production process towards operative control and optimisation. International Journal of Simulation, 7(7):27–39.
  • 8. Kumar, B. A., Vanajakshi, L., and Subramanian, S. C. (2017). Bus travel time prediction using a time-space discretization approach. Transportation Research Part C: Emerging Technologies, 79:308–332.
  • 9. Lawson, E. (2018). Game engine analysis. Available: N/A, date 05.01.2018: https://www.gamesparks.com/blog/game-engine-analysis.
  • 10. Mottle, J. (2016). Architectural visualization rendering engine survey – results. Available 30.11.2016, date 27.11.2017: http://www.cgarchitect.com/2016/11/2016-architectural-visualization-rendering-engine-survey—results.
  • 11. Oertel jr, H., Böhle, M., and Reviol, T. (2015). Strömungsmechanik software. In Strömungsmechanik, pages 406–461. Springer.
  • 12. O’Flanagan, J. (2018). Game engine analysis and comparison. Available:N/A, date 05.01.2018, https://www.gamesparks.com/blog/game-engine-analysis-andcomparison.
  • 13. Richter, G. (2000). Arbeitswissenschaftliche erkenntnisse: Psychische belastung und beanspruchung. BAuA, Dortmund.
  • 14. Ronneberger, O. (2013). Algorithmen und datenstrukturen, volume 1. Freiburg.
  • 15. Schenk, M., Wirth, S., and Müller, E. (2009). Factory planning manual: situation-driven production facility planning. Springer Science & Business Media.
  • 16. Van Bommel, I. W., Van Den Beld, I. G., and Van Ooyen, I. M. (2002). Industrial lighting and productivity. Philips Lighting, The Netherlands, page 20.
  • 17. Wojcik, E. (2012). Better lighting, better work. gradPsych, 10(2).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-45488d56-e1c9-4902-9a40-899114d19fb8
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