Dynamic inventory control and planned obsolescence management
提出了一个动态模型来分析和优化受计划报废影响的库存与生产系统，利用最优控制方法找到最小化成本的生产和替换路径，并通过敏感性分析检验模型稳健性。
This work presents a new dynamic model designed to analyze and optimise inventory and production systems while considering planned obsolescence. The model incorporates key variables such as inventory levels, obsolescence rates, production rates, and replacement rates to effectively capture the complex dynamics of inventory systems affected by obsolescence. Optimal control methods are utilised to identify the optimal time-dependent paths for production and replacement rates that minimise costs while satisfying demand constraints. A sensitivity analysis is conducted to test the model's robustness and examine how different initial conditions and parameters–like inventory levels, obsolescence rates, and planning horizons–affect system performance and costs. The findings highlight the significant cost impacts of planned obsolescence and suggest strategies for alleviating its effects through adaptive policies. This research contributes to the field of inventory and production management and offers a practical framework for tackling planned obsolescence in industrial settings.