文献类型：期刊文献

英文题名：Integrated inventory problem under trade credit in fuzzy random environment

作者：Xu, Weihua[1]

第一作者：许卫华

通讯作者：Xu, WH[1]

机构：[1]Henan Univ Econ & Law, Sch Business Adm, Zhengzhou 450002, Peoples R China

第一机构：河南财经政法大学工商管理学院

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Sch Business Adm, Zhengzhou 450002, Peoples R 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：2014

卷号：13

期号：3

起止页码：329-344

外文期刊名：FUZZY OPTIMIZATION AND DECISION MAKING

收录：;EI(收录号：20143318053029);Scopus(收录号：2-s2.0-84905588879);WOS:【SSCI(收录号:WOS:000339889600005)，SCI-EXPANDED(收录号:WOS:000339889600005)】；

基金：The work was partly supported by the National Natural Science Foundation of China (71071113), a Ph.D. Programs Foundation of Ministry of Education of China (20100072110011), a Foundation for the Author of National Excellent Doctoral Dissertation of P. R. China (200782), Shanghai Pujiang Program, and Shanghai Philosophical and Social Science Program (2010BZH003), the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：Integrated inventory; Trade credit; Fuzzy random programming; Genetic algorithm

摘要：This paper is concerned with an integrated inventory problem under trade credit where both the demand rate and deteriorating rate are assumed to be uncertain and characterized as fuzzy random variables with known distributions. The objective of this paper is to determine the optimal inventory policy by optimizing simultaneously the replenishment cycle length and trade credit period. At first, three decision criteria are given: (1) expected value criterion, (2) chance-constrained criterion and (3) chance maximization criterion. Then, after building the fuzzy random models based on the above decision criterion, a hybrid intelligent algorithm by integrating fuzzy random simulation and genetic algorithm is employed to deal with these models. At the end, three numerical examples are given to illustrate the benefits of the models and show the effectiveness of the algorithms.