摘要
文章针对多周期离散时间、允许交货延迟情形,研究了拥有若干个子市场的制造商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;建立了二次规划模型,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每周期各子市场的最优定价和最优生产计划。实验结果表明,联合策略优于分散策略,可以获得最大利润;与不允许交货延迟情形相比较,允许交货延迟提升了生产的柔性,可以获得更多的利润。
In the case of market segmentation, the problem of setting prices and choosing production quantities is considered for a single backlogging product Over a finite horizon for a manufacturer facing price-sensitive demands, so as to maximize the profit of the firm. A quadratic programming model is established and a dynamic programming based algorithm is developed, by which the optimal pricing strategy and the optimal production strategy are solved in polynomial time. The experimental results show that in comparison with the decentralized policy, the more rational prices can be set by the joint policy so as to maximize the profit of the firm. Besides, because of the improved production flexibil- ity, a firm gains more profit in the case of backlogging than in the case of no backlogging.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2012年第10期1409-1414,共6页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(71071001)
中国博士后科学基金资助项目(20100471288)
安徽省高校省级自然科学研究重点资助项目(KJ2009A138)
关键词
批量问题
市场细分
动态定价
交货延迟
lot sizing problem
market segmentation
dynamic prieing
backlogging
