A Viable Cryptocurrency Portfolio Selection for Supply Chain Working Capital by Considering Energy Requirements and Robustness

This study proposes a Viable Cryptocurrency Portfolio Selection (VCPS) to optimize Supply Chain (SC) working capital by integrating sustainability, resilience, and agility. Using Robust Stochastic Optimization (RSO), the model incorporates risk and robustness constraints while minimizing deviations from the expected value and profit. The framework helps SCs maintain liquidity for procuring raw materials and services. A comparison between VCPS and traditional CPS shows that CPS yields higher profits and faster processing, whereas VCPS emphasizes sustainability, reducing energy consumption by 10.50%. Increasing resilience levels improves profitability and energy use as disruptions decline. Lower conservatism coefficients and elevated energy limits further improve profitability. Expanding the model's scope drives exponential profit growth but also increases computational time, underscoring trade-offs among efficiency, scalability, and sustainability. The findings highlight VCPS as a balanced approach to resilient, eco-friendly financial management for SCs.