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
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