• DocumentCode
    2515832
  • Title

    Shared resource capacity analysis in biotech manufacturing

  • Author

    Saraph, Prasad V.

  • Author_Institution
    Biol. Products, Bayer HealthCare, Berkeley, CA, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    7-10 Dec. 2003
  • Firstpage
    1247
  • Abstract
    Simulation is a relatively new tool for business process analysis in the Biotech industry. We discussed an application of discrete event simulation in analyzing the capacity needs of a shared resource in the manufacturing facility at Bayer Corporation´s Berkeley site. The SIGMA® simulation model was used to analyze the workload patterns, run different workload scenarios, taking into consideration uncertainty and variability, and provide recommendation on a capacity increase plan. This analysis also demonstrated benefits of certain operational scheduling policies. The analysis outcome was used to determine capital investments for 2002. This illustrates the power of simulation tools in providing quick and robust analysis with solutions to planning problems.
  • Keywords
    biotechnology; capacity planning (manufacturing); discrete event simulation; manufacturing industries; Bayer Corporation Berkeley site; SIGMA simulation model; biotech manufacturing industry; business process analysis; discrete event simulation; operational scheduling policy; robust analysis; shared resource capacity analysis; Analytical models; Capacity planning; Discrete event simulation; Investments; Job shop scheduling; Manufacturing industries; Pattern analysis; Production facilities; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2003. Proceedings of the 2003 Winter
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/WSC.2003.1261557
  • Filename
    1261557