Optimal Capacity Expansion Planning When There are Learning Effects
针对存在学习效应的生产与产能扩张决策，建立混合整数规划模型来优化协调生产与产能扩张计划，并讨论模型选出的策略类型。
Production and capacity expansion decisions are difficult to analyze when there is learning. Later production is less costly, and maybe more profitable, but the company must endure high initial production costs. Mixed integer programming models are presented for optimizing coordinated production and capacity expansion plans in the face of such learning effects. An illustrative model is developed, optimized, and the types of strategies it selects are discussed.