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Leveraging stochastic design-dependent equipment availability for process design optimization
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DOI：10.1002/aic.70135.png)
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Abstract
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.
Keywords:
design under uncertainty
endogenous uncertainty
flexibility analysis
process design
reliability-availability-maintainability (RAM)