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Exploring the effectiveness of parallel systems in distributed design processes subjected to stochastic disruptions.

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Název: Exploring the effectiveness of parallel systems in distributed design processes subjected to stochastic disruptions.
Autoři: Tumer, Irem Y., Lewis, Kemper, Ghosh, Sourobh, Devendorf, Erich
Zdroj: AI EDAM; Nov2014, Vol. 28 Issue 4, p399-412, 14p
Témata: SYSTEMS engineering, PARALLEL processing, STOCHASTIC convergence, STATISTICS, INDUSTRIAL engineering, MECHANICAL engineering
Abstrakt: During the design of complex systems, a design process may be subjected to stochastic disruptions, interruptions, and changes, which can be described broadly as “design impulses.” These impulses can have a significant impact on the transient response and converged equilibrium for the design system. We distinguish this research by focusing on the interactions between local and architectural impulses in the form of designer mistakes and dissolution, division, and combination impulses, respectively, for a distributed design case study. We provide statistical support for the “parallel character hypothesis,” which asserts that parallel arrangements generally best mitigate dissolution and division impulses. We find that local impulses tend to slow convergence, but systems also subjected to dissolution or division impulses still favor parallel arrangements. We statistically uphold the conclusion that the strategy to mitigate combination impulses is unaffected by the presence of local impulses. [ABSTRACT FROM PUBLISHER]
Copyright of AI EDAM is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Exploring the effectiveness of parallel systems in distributed design processes subjected to stochastic disruptions.
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  Data: <searchLink fieldCode="AR" term="%22Tumer%2C+Irem+Y%2E%22">Tumer, Irem Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Lewis%2C+Kemper%22">Lewis, Kemper</searchLink><br /><searchLink fieldCode="AR" term="%22Ghosh%2C+Sourobh%22">Ghosh, Sourobh</searchLink><br /><searchLink fieldCode="AR" term="%22Devendorf%2C+Erich%22">Devendorf, Erich</searchLink>
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  Data: AI EDAM; Nov2014, Vol. 28 Issue 4, p399-412, 14p
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  Data: <searchLink fieldCode="DE" term="%22SYSTEMS+engineering%22">SYSTEMS engineering</searchLink><br /><searchLink fieldCode="DE" term="%22PARALLEL+processing%22">PARALLEL processing</searchLink><br /><searchLink fieldCode="DE" term="%22STOCHASTIC+convergence%22">STOCHASTIC convergence</searchLink><br /><searchLink fieldCode="DE" term="%22STATISTICS%22">STATISTICS</searchLink><br /><searchLink fieldCode="DE" term="%22INDUSTRIAL+engineering%22">INDUSTRIAL engineering</searchLink><br /><searchLink fieldCode="DE" term="%22MECHANICAL+engineering%22">MECHANICAL engineering</searchLink>
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  Data: During the design of complex systems, a design process may be subjected to stochastic disruptions, interruptions, and changes, which can be described broadly as “design impulses.” These impulses can have a significant impact on the transient response and converged equilibrium for the design system. We distinguish this research by focusing on the interactions between local and architectural impulses in the form of designer mistakes and dissolution, division, and combination impulses, respectively, for a distributed design case study. We provide statistical support for the “parallel character hypothesis,” which asserts that parallel arrangements generally best mitigate dissolution and division impulses. We find that local impulses tend to slow convergence, but systems also subjected to dissolution or division impulses still favor parallel arrangements. We statistically uphold the conclusion that the strategy to mitigate combination impulses is unaffected by the presence of local impulses. [ABSTRACT FROM PUBLISHER]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of AI EDAM is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1017/S0890060414000559
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        Text: English
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      – SubjectFull: SYSTEMS engineering
        Type: general
      – SubjectFull: PARALLEL processing
        Type: general
      – SubjectFull: STOCHASTIC convergence
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      – SubjectFull: STATISTICS
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              Text: Nov2014
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