• DocumentCode
    2120447
  • Title

    Biotech industry: simulation and beyond

  • Author

    Saraph, Prasad V.

  • Author_Institution
    Process Optimization Group, Bayer Corp., Berkeley, CA, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    838
  • Abstract
    The biotech industry is relatively new to the use of simulation techniques. This paper discusses an application of discrete event simulation in a continuous process biotech manufacturing facility of the Bayer Corporation at Berkeley. The SIGMA(R) simulation model imitating demand and supply of a critical utility (water) was used to analyze the water shortage. The model has been in use for the last year and has effectively eliminated water shortages. Based on this analysis, a set of guidelines was designed to ensure better availability of this critical utility. The model initiated a project to reduce the consumption of water. The model was also used for strategic capacity analysis and to assess the impact of capital projects on future budgetary plans. This whole project was completed in two months and resulted in direct benefits worth $1,100,000
  • Keywords
    biotechnology; discrete event simulation; manufacturing data processing; water supply; Bayer Corporation; SIGMA simulation model; biotech industry; continuous process biotech manufacturing facility; discrete event simulation; water consumption reduction; water demand and supply; water shortage; Analytical models; Availability; Capacity planning; Drugs; Food manufacturing; Manufacturing industries; Manufacturing processes; Pharmaceutical technology; Production facilities; Water storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2001. Proceedings of the Winter
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-7307-3
  • Type

    conf

  • DOI
    10.1109/WSC.2001.977381
  • Filename
    977381