有限经济批量和库存的模拟退火算法

A Simulated Annealing Algorighm for the Finite Horizon Economic Lot and Inventory

研究在一个简单供应链中的生产批量和配送计划问题。解决在供应链中减少单位时间库存、设备和运输的平均成本生产批量及运送计划。假设所有影响因素如产品需求率都已限定在有限的计划范围内,利用模拟退火算法具有的较强局部搜索能力特性弥补传统算法的不足,计算结果表明SA算法能够找到问题的最优解或近似最优解,是解决该问题的有效方法。

This paper is talking about the simulated annealing algorithm for the finite horizon economic lot and delivery scheduling in supply chains where a single supplier produces multiple components on a flexible flow line.It is assumed that all of parameters such as demand rates for the components are deterministic and constant over a finite planning horizon.The main objective is to fend a lot and delivery schedule that would minimize the average of holding,setup,and transportation costs per unit time for the supply chain.