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
Link To Document :
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