从林业案例变体中推导的系统之系统韧性设计启发式规则

System of system design-for-resilience heuristics derived from forestry case study variants

Reliability Engineering and System Safety · 2022
被引 20
ABS 3

中文导读

通过分析20个林业案例变体,发现生态网络分析指标与韧性之间的相关性,提炼出13条设计启发式规则,帮助系统之系统设计者提升对意外链路故障的韧性。

Abstract

System of Systems connect complex technological systems (e.g. power plants, transportation, and infrastructure) to provide additional services. Failures in one constituent system, however, can often cascade to other systems within the network. Decision makers need repeatable, generalizable System of System design-for-resilience approaches. Current design-for-resilience approaches, however, are often not generalizable, do not fully leverage network structure as a design parameter, and require designers to identify possible faults before they occur. These gaps motivate our research question: How can biologically inspired design be used to increase System of Systems resilience to unexpected link failure? We hypothesize that examining a set of 20 possible design variants for the same case study will reveal correlations between Ecological Network Analysis metrics (a subset of graph theory) and increased resilience. These correlations are then used to identify 13 design-for-resilience heuristics. Heuristics are simplified design guidelines that improve, but do not necessarily optimize, decision making during the design process. This work provides two contributions. First, the heuristics provide an approach to both design for increased resilience and evaluate potential System of Systems designs. A discussion of when the heuristics are applicable is presented (i.e. initial graph theory metric value limitations). Secondly, validation tests provide evidence that the heuristics can be used to increase resilience for networks other than the case study. This article provides a crucial step by utilizing Ecological Network Analysis to identify and test a set of design-for-resilience heuristics, an important step to developing a repeatable, network-based, fault agnostic approach to design Systems of Systems with increased resilience.

系统工程韧性工程生态网络分析复杂系统设计