Optimizing Lithium Production Decisions under Geological, Demand, and Pricing Uncertainties: A POMDP Framework for Multi-Objective Decision Making
Optimizing Lithium Production Decisions under Geological, Demand, and Pricing Uncertainties: A POMDP Framework for Multi-Objective Decision Making
在地质、需求和价格不确定性下优化锂生产决策：一种用于多目标决策的 POMDP 框架
Abstract: Decision making in lithium production is challenging, whether from an investor’s perspective or a strategic production standpoint. Determining which mines to open and when to open them involves not only geological and price uncertainties, but also complexities around the choice of extraction method, from direct lithium extraction to hard rock mining.
摘要： 无论是从投资者角度还是战略生产角度来看，锂生产的决策都极具挑战性。确定开采哪些矿山以及何时开采，不仅涉及地质和价格的不确定性，还涉及从直接提锂到硬岩开采等多种提取方法选择的复杂性。
Prior work explored models of this problem and different methods to optimize mining decisions; these models did not account for uncertainty in pricing, uncertainty in demand, or different mining technologies to extract lithium. Incorporating different pricing models and extraction technology into these models enables more robust strategies for determining not only when and where to open a mine, but also which method of production to pursue.
既往研究探讨了该问题的模型及优化采矿决策的不同方法；但这些模型并未考虑价格不确定性、需求不确定性或不同的锂提取技术。将不同的定价模型和提取技术纳入这些模型，能够制定出更稳健的策略，不仅能确定何时何地开采矿山，还能确定应采取哪种生产方式。
We frame the problem as a partially observable Markov decision process (POMDP) and solve using belief state planning methods to get optimal decision making. In our study, we show that POMDP solvers outperform human inspired heuristics by dynamically adapting to shifting lithium price regimes (static, linear, exponential, and stochastic) through belief state planning and explicit uncertainty management.
我们将该问题构建为部分可观测马尔可夫决策过程（POMDP），并利用信念状态规划方法求解以获得最优决策。在研究中，我们证明了 POMDP 求解器通过信念状态规划和显式不确定性管理，能够动态适应不断变化的锂价机制（静态、线性、指数和随机），其表现优于人类启发式方法。
By optimally sequencing exploration, production, and technology choice, the framework achieves higher demand fulfillment and more balanced economic environmental outcomes over the projects lifetime in all different pricing and deposit scenarios.
通过对勘探、生产和技术选择进行最优排序，该框架在所有不同的定价和矿床情景下，都能在项目生命周期内实现更高的需求满足度，并获得更平衡的经济与环境成果。