Deterministic Capacity Expansion Under Deterioration
扩展了经典容量扩张模型，加入设施退化与使用程度相关的运营成本，并利用对偶方法推导规划期结果，为管理者提供直觉和计算比较。
This paper considers the deterministic capacity expansion problem with deterioration. First, the paper extends the conventional model by incorporating capacity deterioration effects and operating costs that are a function of: (i) the age of the facility and (ii) the extent of utilization of capacity. The model still has the useful properties of the standard model, enabling the use of efficient algorithms. Second, the paper extends well-known planning horizon results to this model using a novel dual-based approach, which also provides additional intuition. Finally, interesting computational results are provided that compare optimal and near-optimal forecast horizon values. The impact of capacity deterioration and convexity in variable costs on forecast horizons is also considered.