Abstract
Developing a well-structured biomass supply chain (BSC) is important to ensure continuous access to bioenergy at a reasonable cost. Variations in feedstock location and type, along with seasonality, demand dispersion and logistical challenges, collectively undermine the viability of BSCs. Therefore, establishing a resilient network that preserves its operational efficiency under disruption is crucial. Quantifying the multifaceted nature of resilience is challenging, particularly in multi-echelon supply chains due to disruption propagation. As such, this study proposes a systematic analysis framework relying on agent-based modeling to quantitatively assess the resilience of a BSC network through the lens of the triple resilience capacities (i.e. absorptive, adaptive and restorative). This framework also models temporal behavior and interdependence among entities. Several recovery strategies are incorporated into the model to restore the functionality of critical nodes. A real case study of the remote, off-grid communities in Quebec is considered to validate the efficiency of the proposed framework. The outcomes underscore the necessity of implementing recovery strategies and the importance of inventory management at intermediary nodes to effectively harness disruption effects. More precisely, extra inventories at bio-hubs reduce the severity of disruption propagation, enhance responsiveness and lead to a higher share of bioenergy adoption in downstream echelons.