面向供应链管理的并行智能集成与优化引擎

P. Moynihan, W. Dai
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引用次数: 1

摘要

在本文中,我们介绍了一个用于供应链管理的服务框架,这是一个基于顶级规则的设计,它可以处理异构网络,并允许与RFID跟踪等关键使能技术集成,并利用推理引擎的功能来管理、监控和优化流网络和供应链实体。作为作者之前工作的延伸,本文给出了运行时设计的一些细节,以及之前的一些实验结果和对工业的影响。未来的工作指向进一步研究更多的异构服务及其在框架内的交互和对行业的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concurrent Intelligent Integration and Optimisation Engine for Supply Chains Management
In this paper, we introduce a service framework for supply chain management, this is a top level rule based design, it can handle heterogeneous networks and allows integration with key enabling technologies like RFID tracking and leverages the power of an inference engine to manage, monitor and optimize flow networks and supply chain entities. An extension of previous work by the authors, some details of the run-time design are given along with some previous experimental results and impacts for industries. Future work points to further investigation of more heterogeneous services and their interactions within the framework and impact for industry.
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