Multi-product EOQ model with multivariate Markov demand

被引：0

作者：

Chen J. ^{[2
]}

Zhang G. ^{[1
]}

Bian Y. ^{[3
]}

Chen C.-P. ^{[4
]}

机构：

[1] School of Public Administration, Guangdong University of Finance and Economics, Guangzhou

[2] Department of Mathematics, Hainan Tropical Ocean University, Sanya

[3] College of Business Administration, Guangzhou University, Guangzhou

[4] School of Public Administration, South Shina Normal University, Guangzhou

来源：

Int. J. Simul. Syst. Sci. Technol. | / 28卷 / 40.1-40.8期

基金：

中国国家自然科学基金;

关键词：

EOQ model; Multi-product inventory; Multivariate Markov demand;

D O I：

10.5013/IJSSST.a.17.28.40

中图分类号：

学科分类号：

摘要：

We consider an optimality of ordering quantity for the multi-product inventory system under the situation with multivariate Markov demand. In order to forecast the multiple demands in the inventory system, we propose a new forecasting model with multivariate Markov chains in which the demands are state-dependent, here we name the new model as multivariate Markov demand model (MMDM), and the relationships between demands are mined through the MMDM. Furthermore, a new multi-product inventory system is established by using the MMDM, and the solution of the model is proposed. The numerical example show that MMDM is an effective method for forecasting multiple demands in the inventory system, and the EOQ model with multivariate Markov demand is a feasible approach for optimizing ordering quantity in the multi-product inventory system. © 2017, UK Simulation Society. All rights reserved.

引用

页码：40.1 / 40.8

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