In the intricate domain of underground mine design and scheduling, the quest for optimization and efficiency is perpetual. Traditional methodologies, heavily reliant on spreadsheet software like Excel and final valuation models for analysis, have served the mining industry for decades. However, the complexity of modern mining operations, combined with increasing economic and environmental constraints, necessitates a more sophisticated and holistic approach. This presentation introduces a groundbreaking case study on the application of Pseudoflow algorithms in underground mine design and scheduling, marking a significant departure from conventional methods. Pseudoflow, a potent computational technique, is renowned for its ability to solve complex network flow problems efficiently. By applying Pseudoflow to the challenges of underground mine design and scheduling, our team has successfully developed a methodology that not only enhances the accuracy of extraction planning but also significantly improves the cost-effectiveness of mining operations. Central to our approach is the integration of Activity-Based Costing (ABC) at the very onset of mine design and scheduling stages. This integration provides a granular view of cost allocation and enables a more strategic and economically viable extraction plan. Our case study details the systematic application of Pseudoflow in a real-world mining scenario, outlining the methodological shifts from traditional spreadsheet-based analyses to a more dynamic and comprehensive optimization framework. By incorporating Pseudoflow, we demonstrate a marked improvement in operational efficiency, cost reduction, and the strategic alignment of mine design with financial objectives.