• Title/Summary/Keyword: Opitimization

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Opitimization of culture conditions involved in dissolved oxygen for production of pullulan by Aureosidium pullulan

  • Seo, Hyeong-Pil;Son, Chang-U;Lee, Yu-Jeong;Kim, Seong-Gu;Kaplan, David L.;Lee, Jin-U
    • 한국생물공학회:학술대회논문집
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    • 2002.04a
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    • pp.173-176
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    • 2002
  • Effect of carbon source and culture conditions involved in the concentration of dissolved oxygen on cell growth and the production of pullulan by A. pullulans HP2001 were investigated. Among those carbon sources, glucose was found to be the best carbon source for the production of pullulan by A. pullulans HP2001. Maximal production of pullulan by A. pullulans HP2001 was 26.6 g/ f when concentrations of glucose and yeast extract were 8% (w/v) and 0.25% (w/v), respectively. It was found that aeration rate, agitation speed and inner pressure of a bioreactor, which were some of physiological factors involved in the dissolved oxygen in the medium may affect cell growth and the production of pullulan by A. pullulans HP2001.

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A Study for Design Optimization of an Automated Distribution Center using the Simulation and Metamodel (시뮬레이션과 메타모델을 이용한 자동물류센터 설계 최적화)

  • Kang, Jeong-Yun;Lee, Hong-Chul;Um, In-Sup
    • Journal of the Korea Society for Simulation
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    • v.15 no.3
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    • pp.103-114
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    • 2006
  • Now distribution centers include an ASRS (Automated Storage and Retrieving System) and automated transfer systems such as conveyors and AGV (Automated Guided Vehicle). These automated distribution centers have lots of parameters to be considered fur operating performance. The general basic parameters in the distribution centers are specifications of storage equipment, system operating rules, configuration of storage area and unit load features. In this paper, an approach using simulation and metamodeling with response Surface method to optimize the design parameters of an automated distribution center model is presented. The simulation based metamodel will constitute an efficient approximation of the system function, and the approximate function will be used to design rapid optimal parameters of the distribution center model. This paper provides a comprehensive framework for economical material flow system design using the simulation and metamodeling.

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