Mine Planning Optimization for Precious Metal Operations With Python: Pit optimization, underground stope optimization, cut-off grade strategy, ... Mining Engineering for Precious Metals)

Transform block models, metallurgy, and operating constraints into optimized plans that maximize discounted value and stay robust when reality deviates from assumptions. This engineering-focused reference brings together the core optimization problems that govern value creation in gold and silver mining, from strategic pit limits and pushback selection to underground stope layout, development timing, production scheduling, and plant feed control.You will learn how to formulate and solve the decisions that matter most:Economic block valuation using NSR style models with recoveries, payables, penalties, and royaltiesCut-off grade strategy under mining and processing bottlenecks, including multi-destination routing and stockpilesPit limit optimization and practical slope and access constraintsLong-term scheduling with precedence, capacity limits, and discountingUnderground stope boundary optimization, sequencing with fill and stability constraints, and development network timingBlending models for grade control and process stability, including multi-element constraints and deleterious limitsNPV and risk-based planning using Monte Carlo evaluation, CVaR-style downside measures, and scenario comparisonsStochastic, robust, and rolling-horizon approaches that adapt plans as new information arrivesEvery chapter includes complete, runnable Python code demos that implement the math and algorithms step by step, so you can reproduce results, stress-test assumptions, and adapt the models to real operational constraints and data. Read more