文献类型：期刊文献

英文题名：Optimal Replenishment Policies and Trade Credit for Integrated Inventory Problems in Fuzzy Environment

作者：Xu, Weihua[1,2];Zhang, Liren[1];Cui, Jingjing[1]

第一作者：许卫华

通讯作者：Xu, WH[1];Xu, WH[2]

机构：[1]Henan Univ Econ & Law, Sch Business Adm, Zhengzhou 450046, Peoples R China;[2]Henan Univ Econ & Law, Huamao Financial Res Inst, Zhengzhou 450046, 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 450046, Peoples R China;[2]corresponding author), Henan Univ Econ & Law, Huamao Financial Res Inst, Zhengzhou 450046, Peoples R China.|[10484]河南财经政法大学;[104843]河南财经政法大学工商管理学院;

年份：2022

卷号：2022

外文期刊名：MATHEMATICAL PROBLEMS IN ENGINEERING

收录：;EI(收录号：20221912076141);Scopus(收录号：2-s2.0-85129356826);WOS:【SSCI(收录号:WOS:000793377900006)，SCI-EXPANDED(收录号:WOS:000793377900006)】；

基金：This work was supported in part by the National Natural Science Foundation of China (grant number 71802072), the Key Project of Henan Soft Science Research (grant number 222400410007), the Project of Henan Soft Science Research (grant number 212400410027), and Huamao Financial Research Project "Decision and Coordination of Green Supply Chain Considering Government Subsidies in Uncertain Environment" (grant number HYK-2021005).

语种：英文

外文关键词：Fuzzy sets - Deterioration - Commerce - Electronic trading - Inventory control - Supply chains

摘要：In this highly volatile, uncertain, complex, and ambiguous (VUCA) environment, a fuzzy inventory optimization problem is a hot topic that received the most attention from both academicians and practitioners. In this paper, the authors have studied the integrated inventory problems under trade credit in fuzzy environments, where the demand rate and deterioration rate are taken here as triangular fuzzy numbers. Accordingly, three types of fuzzy programming models as fuzzy expected cost minimization model, fuzzy alpha-cost minimization model, and credibility maximization model are built according to different management goals. Since the problem is shown to be NP-hard, this research focuses on proposing a hybrid intelligent algorithm by integrating fuzzy simulation, neural network, and genetic algorithm for solving these models. Then, some numerical examples are presented to illustrate the benefits of the models and evaluate the efficiency of the algorithms. The computational experiments show that the trade credit strategy has a positive impact on improving the supply chain's performance and reducing its total cost. In addition, the maximum relative error of the objective values is less than 1%, which implies that the hybrid intelligent algorithm is robust to the parameter settings and effective in solving our models. Finally, the practical implications are discussed and useful managerial insights are given.