文献类型：期刊文献

英文题名：Models for integrated inventory problem under trade credit with random-rough demands and deteriorating rate

作者：Xu, Weihua[1]

第一作者：许卫华

通讯作者：Xu, W.|[104844ea370d1]徐伟;[10484184ea370d1]徐伟;

机构：[1] School of Business administration, Henan University of Economics and Law, Zhengzhou 450002, China

第一机构：河南财经政法大学工商管理学院

通讯机构：[1]School of Business administration, Henan University of Economics and Law, Zhengzhou 450002, China|[104843]河南财经政法大学工商管理学院;[10484]河南财经政法大学;

年份：2012

卷号：6

期号：12

起止页码：499-507

外文期刊名：International Journal of Digital Content Technology and its Applications

收录：EI(收录号：20123015280830);Scopus(收录号：2-s2.0-84864113307)

语种：英文

外文关键词：Decision making - Inventory control

摘要：We consider the integrated inventory problem under trade credit with mixed uncertainty of randomness and roughness. The central issue in this paper is to develop the inventory models according to different decision-making criteria. Based on random rough programming, we build three types of random rough inventory models as random rough expected cost minimization model, random rough (α, β)-cost minimization model and chance maximization model. These models may be useful and efficient when determining the optimal inventory policy in practice.