Simulation study of inventory cost control based on system dynamics

被引：0

作者：

Wang Y. ^{[1
]}

Zhao J. ^{[2
]}

机构：

[1] Guangdong Polytechnic of Science and Technology, Guangdong, Guangzhou

[2] Shenzhen Xinnanshan Holding (Group) Co. LTD., Strategic Research Department, Guangdong, Shenzhen

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Dynamic relationships; Inventory costs; Pipeline delay function; System dynamics;

D O I：

10.2478/amns-2024-1273

中图分类号：

学科分类号：

摘要：

In this study, we employ system dynamics to analyze the interplay between various factors influencing inventory cost control, resulting in a comprehensive subsystem model. The inventory strategy subsystem, based on the pipeline delay function, and the inventory cost subsystems, considering the actual situation of the enterprise, are combined to construct the inventory cost control system dynamics model. According to the validity test of the inventory cost control model, there are less than 10% simulation errors in the total transportation cost and total inventory cost data of the enterprise, and the model's reliability is high. The simulation experiment of the model on the inventory cost control of the enterprise shows that the total inventory cost decreases to 4,398,330 yuan on the 100th day after shortening the order delay time, and the total inventory cost decreases by 1,160,450 yuan on 32 days after controlling the arrival delay time. This dynamic model proves highly effective and offers a dependable approach to managing inventory costs across various enterprises. © 2024 Yanhong Wang, et al., published by Sciendo.

引用

共 15 条

[1]

Feinberg E., Kraemer D., Continuity of discounted values and the structure of optimal policies for periodic-review inventory systems with setup costs, Naval Research Logistics (NRL, (2021)

[2]

Kiesmuller G.P., Inderfurth K., Publisher correction: Approaches for periodic inventory control under random production yield and fixed setup cost, Or Spectrum, (2018)

[3]

Mohsen Mousavi S., Bahreininejad A., Nurmaya Musa S., Yusof F., A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network, Journal of Intelligent Manufacturing, (2017)

[4]

Arikan M., Demir S., Erkoc M., Inventory management with advance supply contracts across multiple replenishment periods, Asia-pacific journal of operational research, 3, (2023)

[5]

Halkos G.E., Kevork I.S., Tziourtzioumis C.N., On the existence of unique minimum for the cost function in a (q,r) inventory model with backorders, Ima Journal of Management Mathematics, 1, (2018)

[6]

Yu W.B., Hou G., Xia P., Li J., Supply chain joint inventory management and cost optimization based on ant colony algorithm and fuzzy model, Tehnicki vjesnik - Technical Gazette, (2019)

[7]

Gutierrez-Alcoba A., Rossi R., Martin-Barragan B., Hendrix E.M.T., A simple heuristic for perishable item inventory control under non-stationary stochastic demand, International Journal of Production Research, 55, 7-8, pp. 1885-1897, (2017)

[8]

Lau H.S., Lau H.L., The effect of cost disbursement timings in inventory control, Journal of the Operational Research Society, (2017)

[9]

Tahami H., Mirzazadeh A., Gholami-Qadikolaei A., Simultaneous control on lead time elements and ordering cost for an inflationary inventory-production model with mixture of normal distributions ltd under finite capacity, RAIRO - Operations Research, 53, 4, pp. 1357-1384, (2019)

[10]

Feinberg E.A., Lewis M.E., On the convergence of optimal actions for markov decision processes and the optimality of (s, s) inventory policies, Naval Research Logistics (NRL), 65, (2018)

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