Prediction for the Inventory Management Chaotic Complexity System Based on the Deep Neural Network Algorithm

Precise inventory prediction is the key to goods inventory and safety management. Accurate inventory prediction improves enterprises’ production efficiency. It is also essential to control costs and optimize the supply chain’s performance. Nevertheless, the complex inventory data are often chaotic a...

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Veröffentlicht in:	Complexity (New York, N.Y.) Jg. 2023; S. 1 - 11
Hauptverfasser:	Lei, Tengfei, Li, Rita Yi Man, Jotikastira, Nuttapong, Fu, Haiyan, Wang, Cong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Hindawi 12.05.2023 John Wiley & Sons, Inc Wiley
Schlagworte:	Accuracy Algorithms Artificial neural networks Chaos theory Complexity Cost control Datasets Deep learning Energy consumption Error analysis Inventory Inventory control Inventory management Machine learning Mathematical functions Neural networks Nonlinear dynamics Performance evaluation Performance prediction Regularization methods Research methodology Root-mean-square errors Safety management Strategic management Supply chains Support vector machines Time series
ISSN:	1076-2787, 1099-0526
Online-Zugang:	Volltext
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