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The supply chains of semiconductors and integrated devices supports industry across all economic sectors. Globally, the supply chain is experiencing a variety of stressors and disruptions, with effects that cascade across the economy, causing product delays and enterprise losses. However, quantitative models that support an understanding of how stressors influence supply chain performance are needed. Here we show how stress testing can be used for assessing the impact of disruptions on supply chain performance metrics and for characterizing system resilience. We demonstrate a framework that utilizes discrete event simulation for stress testing the resilience of a semiconductor supply chain. Our results include a comparison of resilience curves with and without risk management countermeasures, showing the resilience-enhancing benefits of various supply chain management strategies such as maintaining safety stock and sourcing from multiple suppliers. Supply chain managers can utilize stress testing principles and methodologies to configure their supply chain and engage in practices that contribute to system resilience. 

Nurses face significant physical demands during patient care, leading to high rates of musculoskeletal disorders (MSDs) among nurses in long-term care. Exoskeletons demonstrate promise in supporting nurses and nurse managers with MSDs; however, social contextual factors are crucial to their design and implementation. Through thematic analysis of 17 semi-structured interviews, this paper reveals social contextual factors important to exoskeleton use among nurses and nurse managers in long-term care. Participants expressed concerns about workplace discrimination, co-worker perceptions of their capabilities, and patient confidence. Our findings highlight the need for supportive organizational cultures and open communication channels. Recommendations include in-depth systems analysis to assess exoskeleton feasibility and efficacy, involving input from frontline nurses/managers, management, and patients. These findings can aid human factors and ergonomics (HF/E) experts in balancing social contextual factors and other work system elements to design work system contexts and exoskeletons that promote optimal outcomes in long-term care settings.