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A decision support system to facilitate resources allocation: an OLAP-based neural network approach

机译:有助于资源分配的决策支持系统:基于OLAP的神经网络方法

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摘要

The emergence of advanced information technologies strengthens the capability to the entrepreneur to manage and manipulate data. However, the quality of information, the capability of providing the right information to the right person, and the utilization of information are still in doubt. Therefore, increasing numbers of firms have realized and started to develop as well as improve their existing information systems to fit the ever-changing business needs of the organization to support decision-making for the volatile business environment. Indeed, previous research studies have found that logistics management is the great frontier of cost reduction. Therefore, in this paper, an infrastructure of a decision support system is proposed to capture and maintain the business and resources allocation information with the adoption of the neural network for its artificial intelligent characteristic that mimic the operation of human brain to generate solutions systematically. The proposed system is adopted by a shipping company to assist allocation of containers.
机译:先进信息技术的出现增强了企业家管理和操纵数据的能力。但是,信息的质量,向正确的人提供正确的信息的能力以及信息的使用仍然受到质疑。因此,越来越多的公司已经意识到并开始开发和改进其现有的信息系统,以适应组织不断变化的业务需求,以支持多变的业务环境中的决策。确实,以前的研究发现,物流管理是降低成本的重要前沿。因此,本文提出了一种决策支持系统的基础架构,利用神经网络的人工智能特性(模仿人脑的操作来系统地生成解决方案),利用神经网络来捕获和维护业务和资源分配信息。航运公司采用了建议的系统来协助分配集装箱。

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