An IIoT quality global enterprise inventory management model for automation and demand forecasting based on cloud

A. Jayaram
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引用次数: 9

Abstract

Inventory management is an important function of every global enterprise. Enterprises often make financial loss when the goods get misplaced and when they are lost. There is a need for a quality inventory management model that enterprises can implement easily. Enterprises can make more revenue when the inventory is managed efficiently with computational intelligence and predictive analytics. Industrial Internet of Things (IIoT) collects useful data from machines and sensors which can be used for demand forecasting of the enterprise and automation. The proposed IIoT Quality Inventory Management Model can be used for automation and demand forecasting of the inventories.
基于云的自动化和需求预测的工业物联网质量全球企业库存管理模型
库存管理是每一个全球性企业的重要职能。当货物放错地方或丢失时,企业往往会造成经济损失。企业需要一种易于实现的质量库存管理模型。通过计算智能和预测分析有效地管理库存,企业可以获得更多收入。工业物联网(IIoT)从机器和传感器收集有用的数据,可用于企业和自动化的需求预测。提出的工业物联网质量库存管理模型可用于库存的自动化和需求预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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