摘要
针对多周期离散时间情形,研究了库存能力约束下如何有效地协调定价决策与批量决策,使得企业利润最大化。建立了非线性混合整数规划模型。分析了最优解的特征,详细讨论了子问题的求解方法。提出了基于动态规划的精确算法,可以在多项式时间内求解出联合决策问题的最优定价与最优生产计划。实验结果分析了库存能力与最优利润、最优生产计划之间的关系。
This paper studies coordination of dynamic pricing and lot-sizing problem with inventory capacities for a single product over a finite horizon.The problem is formulated as a non-linear mixed-integer model in which demands are price-sensitive.By introducing the concept of sub-plan,a dynamic programming algorithm is proposed,in which all possible sub-plans are first solved,and then the optimal combination of sub-plans can be obtain by dynamic programming.The optimal pricing and production plan can be obtained in polynomial time.The results show the effect of inventory capacities on the optimal profit or the optimal production plan.
出处
《系统工程》
CSSCI
CSCD
北大核心
2010年第2期90-94,共5页
Systems Engineering
基金
安徽省高校省级自然科学研究重点项目(KJ2009A138)
中华全国供销合作总社科研项目(GXZS0819)
关键词
批量问题
定价
库存能力
动态规划
Lot-sizing Problem
Pricing
Inventory Capacities
Dynamic Programming