Multi-period multi-product acquisition planning with uncertain demands and supplier quantity discounts

被引:17
|
作者
Zhang, Guoqing [1 ]
Shi, Jianmai [2 ]
Chaudhry, Sohail S. [3 ]
Li, Xindan [4 ]
机构
[1] Univ Windsor, Supply Chain & Logist Optimizat Res Ctr, Dept Mech Automot & Mat Engn, Windsor, ON N9B 3P4, Canada
[2] Natl Univ Def Technol, Coll Syst Engn, Changsha, Hunan, Peoples R China
[3] Villanova Univ, Villanova Sch Business, Dept Management & Operat Int Business, Villanova, PA 19008 USA
[4] Nanjing Univ, Res Ctr Management Sci & Engn, Sch Management & Engn, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Multi-period; Supplier discount; Newsvendor; Acquisition; Lagrangian relaxation; CONSTRAINT NEWSVENDOR PROBLEM; LOT-SIZING PROBLEM; NEWSBOY PROBLEM; SINGLE-PERIOD; STOCHASTIC-DEMAND; INVENTORY CONTROL; MODEL; MULTIITEM; SELECTION; POLICY;
D O I
10.1016/j.tre.2019.11.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, we address a multi-period multi-product acquisition planning problem where the retailer faces uncertain demand for the products and the suppliers provide all-unit quantity discounts. The problem is an extension of single period constrained newsvendor problem, which considers both the supplier discounts and multiple periods. We formulate the problem as a mixed integer nonlinear programming model and develop a Lagrangian relaxation based approach. Efficient solution procedures are presented to solve the decomposed sub-problems that are based on the properties of the problem. Computational results show that the Lagrangian method can quickly obtain very good solutions.
引用
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页码:117 / 140
页数:24
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