工业工程

工业工程 ›› 2016, Vol. 19 ›› Issue (3): 90-95.

• 实践与应用 • 上一篇    下一篇

电力物资复合泊松需求下的最优订货量

  

  1. 上海大学 悉尼工商学院，上海 201800
  • 出版日期:2016-06-30 发布日期:2016-08-31

Optimal Order Quantity of Electric Power Materials with Compound Poisson Demand Distribution

  1. SHU-UTS SILC Business School, Shanghai University, Shanghai 201800, China
  • Online:2016-06-30 Published:2016-08-31

摘要：

以上海电力公司的物资供应体系为背景，给出了（T,Q）库存策略下服从复合泊松分布的电力物资最优订货量的算法。建立复合泊松分布下的库存成本模型，对此模型用闭式算法求得其最小库存成本下的最优订货量，将该算法应用于电力物资进行实证分析。数值结果表明，与传统的报童模型相比，本文提出的最优订货量算法更适用于间断需求。

关键词: 间断需求, 复合泊松分布, 最优订货量, 闭式算法, 近似算法

Abstract:

This paper is set in Shanghai Electric Power Company′s material supply system, providing the algorithm of optimal order quantity of power supplies that follow compound Poisson distribution for inventory management strategy. Establishing inventory cost model based on compound Poisson distribution, with optimal order quantity produced by a closed algorithm given the minimum inventory costs.  This algorithm is applied to power supplies in empirical analysis. Numerical results show that the algorithm of optimal order quantity proposed in this paper is more suitable for intermittent demand compared to the traditional newsboy model. Considering the problem of inconvenience and inefficiency in business practice, this paper proposes an approximation algorithm and a heuristic algorithm, which can calculate the optimal order quantity quickly and efficiently.

Key words: intermittent demand, compound Poisson distribution, optimal order quantity, heuristics algorithm, approximation algorithm