Multi-product expedited ordering with demand forecast updates
Multi-product expedited ordering with demand forecast updates
复制标题
多产品加急订购以及需求预测更新
DOI：
10.1016/j.ijpe.2018.09.034
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发表时间：
2018-12
影响因子：
12
通讯作者：
Yurui Ma
中科院分区：
文献类型：
--
作者：
Bin Zhang;Dongxia Duan;Yurui Ma
研究了一类具有多产品、资源约束、需求预测更新和快速订货的采购问题。零售商在销售季节前采购多个产品的初始数量，这些数量受到有限资源的限制，零售商可以通过观察初始销售量来改进需求预测。根据最新的需求预测和库存，零售商可以在销售季节以更高的成本下订单，这是由最小再订购数量的限制。我们分析了零售商的最优采购政策之间的权衡预测可靠性，采购成本和资源的可用性。采用双层规划建立了采购问题的数学模型，并提出了求解最优解的二分搜索方法。我们将所提出的算法扩展到两个资源约束的情况，并在扩展的研究中用期权合同代替了快速订货。数值实验的目的是显示需求预测更新的快速订购的价值，并获得管理的见解与期权合同的模型相比。
This paper studies a purchasing problem with multiple products, resource constraints, demand forecast updates and expedited ordering. The retailer procures the initial quantities of multiple products before the selling season, which are restricted by limited resource, and the retailer can improve the demand forecasts through observing the initial sales. Based on the updated demand forecasts and inventories on hand, the retailer can place an expedited order at higher costs for products during the selling season, which is restricted by the minimum quantity of reordering. We analyze the retailer's optimal procurement policies by trading off between forecast reliability, procurement costs and resource availability. The bi-level programming is used to model the purchasing problem and the binary search solution method is developed for solving the optimal solution. We extend the proposed algorithm to the case with two resource constraints, and also replace the expedited ordering with option contract in the extended study. Numerical experiments are designed to show the value of expedited ordering with demand forecast updates and to obtain managerial insights in comparison with the model with the option contract.
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影响因子：
5.4
作者：
Trenkner Małgorzata
通讯作者：
Trenkner Małgorzata
影响因子：
5.4
作者：
H. Gurnani;Christopher S. Tang
通讯作者：
H. Gurnani;Christopher S. Tang
影响因子：
5
作者：
Chen, Ming;Chen, Zhi-Long
通讯作者：
Chen, Zhi-Long
DOI：
10.2139/ssrn.2334429
发表时间：
2013-12
期刊：
Microeconomics: Search; Learning; Information Costs & Specific Knowledge; Expectation & Speculation eJournal
影响因子：
--
作者：
Arnoud V. den Boer
通讯作者：
Arnoud V. den Boer
DOI：
10.1109/3468.983410
发表时间：
2001-11
期刊：
IEEE Trans. Syst. Man Cybern. Part A
影响因子：
--
作者：
Jian Chen;Lijun Xu
通讯作者：
Jian Chen;Lijun Xu