• DocumentCode
    388757
  • Title

    Capacity analysis of multi-product, multi-resource biotech facility using discrete event simulation

  • Author

    Saraph, Prasad V.

  • Author_Institution
    Biol. Products, Bayer Corp., Berkeley, CA, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    8-11 Dec. 2002
  • Firstpage
    1007
  • Abstract
    Use of simulation for capacity analysis is an upcoming field in Biotech industry. This paper discusses an application of discrete event simulation in the multi-product and multi-resource Filling Freeze Drying facility of Bayer Corporation´s Berkeley site. The SIGMA® simulation model was used to estimate the current and future throughput capacity by taking into account current operations and various capital and efficiency improvement projects planned for near future. The model also identified certain project clusters with potential for large capacity gains, which otherwise would not have been visible. The model and its outcome are in use since 2001.
  • Keywords
    discrete event simulation; manufacturing data processing; pharmaceutical industry; SIGMA simulation model; biotech industry; capacity analysis; capacity gains; capital improvement projects; discrete event simulation; efficiency improvement projects; multi-product multi-resource Filling Freeze Drying facility; project clusters; Analytical models; Biological system modeling; Discrete event simulation; Drugs; Filling; Food manufacturing; Mathematical programming; Production; Queueing analysis; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2002. Proceedings of the Winter
  • Print_ISBN
    0-7803-7614-5
  • Type

    conf

  • DOI
    10.1109/WSC.2002.1172993
  • Filename
    1172993