.png){kind=icon}
返回
Leveraging stochastic design-dependent equipment availability for process design optimization
.png){kind=icon}
OA
AI
DOI：10.1002/aic.70135.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In resilience-aware process design, an important component that determines the system's ability to maintain business continuity is the availability of its components. Component availability needs to be treated as a design-dependent, probabilistic parameter during conceptual process design. In this work, the Combined Flexibility-Availability-Resilience Index (CFARI), which describes the likelihood that a design is feasible under production goals, uncertainty range, and disruption events postulated by the decision-maker, is used to assess the performance of design alternatives given discrete choices of equipment with different availability profiles. Through the CFARI metric, the impact of specific design decisions, which lead to a specific availability profile being realized, on overall resilience and economic performance is explored. A case study on a biorefinery supply chain is presented to illustrate the value of a design-dependent, probabilistic consideration of availability within process design.
Keyword:
design under uncertainty
endogenous uncertainty
flexibility analysis
process design
reliability-availability-maintainability (RAM)
期刊
IF:
4
论文数:
1.1W
被引数:
2.9W
机构
引用论文
分享收藏Production, quality and quality assurance of Refuse Derived Fuels (RDFs)垃圾衍生燃料 (RDFs) 的生产、质量和质量保证.png)
WASTE MANAGEMENT
WASTE MANAGEMENTIF7.1
PREAI
分享收藏An index for operational flexibility in chemical process design. Part I: Formulation and theory
PREAI
分享收藏
分享收藏分享收藏分享收藏
查看更多内容