摘要
针对确定性需求的联合生产补充(JRP)问题,有多种启发式算法,但这些算法或不能保证最优或计算复杂。本文利用现代优化方法模拟退火算法和拉格朗日松驰算法,设计出一种新的算法,通过算例表明该算法可得出较优的可行解,可以更有效地解决实际问题。
There are several heuristic algorithms for joint replenishment inventory problems, but among which none can guarantee to yield an optimal solution or the computation is complex. This paper presents a new algorithm based on simulated annealing algorithm and Ragelari relaxation algorithm. The algorithm is illustrated with an example, and the result indicates that the algorithm can efficiently solve the problem.
出处
《西华大学学报(自然科学版)》
CAS
2010年第1期37-41,共5页
Journal of Xihua University:Natural Science Edition
基金
国家自然科学基金(70502028)
关键词
库存
联合补充
拉格郎日松弛算法
模拟退火算法
确定性需求
Inventory
joint replenishment
Ragelari relaxation method
simulated annealing algorithm
deterministic demand