Nowadays, disruptive events increasingly affect supply chain resilience and performance, while limited raw material availability drives global adoption of the Circular Economy paradigm. This study assesses how Circular Economy practices influence supply chain resilience by investigating the joint effect of structural design and operational control parameters through simulation-based analysis integrated with Design of Experiments. We examine five sourcing configurations, namely single-sourcing, double-sourcing, symbiotic-sourcing, closed-loop and circular-sourcing. Results show that structural design emerges as the primary determinant of resilience, shaping how supply chains respond to disruptions. At the same time, supply chain resilience is a dynamic outcome that depends on the alignment of sourcing strategies with operational policies. Overall, the adoption of Circular Economy-based sourcing strengthens absorptive capacity, to the extent that service continuity can be maintained without relying on high safety factors.

Disrupted humanitarian supply chains require decisions that are fast, interpretable, and robust to operational deterioration. This paper develops a policy stress-testing framework for relief-network planning under disruption by transforming multi-objective optimisation outputs into policy classes that can be compared under different operating scales. A scenario-based humanitarian supply chain model is solved using a preference-guided extension of NSGA-II, and the resulting non-dominated solutions are translated into lean, balanced, and resilient policy classes. Three test cases are considered, representing local, regional, and corridor-level relief operations. The numerical study shows that preference-guided search consistently identifies policies with better service continuity and lower resilience loss than classical baselines, while the graphical stress-testing analysis clarifies the trade-off between additional cost and service protection. The study demonstrates how disruption data can be converted into policy-relevant insight for humanitarian logistics planning.

This paper studies coordination of emission reduction in a green supply chain with one manufacturer and multiple heterogeneous suppliers. Suppliers bear abatement investment costs while the demand benefit from a greener final product is shared across the channel. We develop an analytical game model with endogenous retail pricing and fixed abatement investment costs. The results show that decentralized decisions reduce total supply chain profit and misalign abatement incentives but may induce higher abatement than the centralized benchmark when high-margin low-cost suppliers over-invest in abatement capability. We then design two second-best overlay contracts cost sharing and manufacturer subsidy that operate on top of existing wholesale prices. The multi-supplier structure matters because the two contracts aggregate supplier heterogeneity differently and create cross-supplier demand spillovers. Numerical results compare both profit recovery and abatement proximity to the centralized benchmark.

Spare parts supply chains in asset-intensive industries are highly exposed to disruption because demand is intermittent, suppliers are distant, and lead times are long. Integrating on-site additive manufacturing alongside conventional suppliers is increasingly viewed as a proactive resilience capability, yet existing sourcing models rarely capture the process-specific economics of metal additive manufacturing. This paper develops a mixed-integer linear programming model for a hedged spare parts supply chain in which conventional suppliers and an on-site bound metal deposition facility are jointly optimized. The model embeds the full bound metal deposition cost structure, covering design, feedstock procurement and inventory, printing, debinding, sintering, post-processing, and part qualification, together with supplier capacities, minimum order quantities, and multimodal transportation. A twelve-month numerical study of three industrial spare parts shows the hedged design meets all demand at minimum cost, qualifies every part for additive production, deploys additive capacity exactly where conventional sourcing binds, and retains substantial reserve capacity for disruption response. A demand sensitivity analysis reveals the demand thresholds at which the additive share expands, clarifying the conditions under which the capability is most valuable. The study is thus positioned as a decision-support demonstration for spare parts sourcing, offering managerial guidance on when embedding on-site AM capacity constitutes a cost-effective resilience investment.