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RFID-enabled real-time advanced planning and scheduling shell for production decision making

机译:支持RFID的实时高级计划和计划外壳,用于生产决策

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摘要

In a radio frequency identification (RFID)-enabled real-time manufacturing environment, different decision makers are often confronted with the inconsistency between the highly synchronised information flow and unstandardised decision-making procedures, especially under conflicting objectives and dynamic situations. This study proposes an RFID-enabled real-time advanced production planning and scheduling shell (RAPShell, in short) to coordinate different decision makers across production processes. RAPShell has several key innovations. First, it uses RFID technology for enhancing information sharing, which provides the basis for coordinating decisions and operations of different parties involved in production planning, scheduling, execution and control. Second, it adopts Software as a Service (SaaS) model and a standard service-oriented architecture (SOA) with key modules, adaptive optimisation models, solution algorithms as well as scheduling rules developed and deployed as web services. Finally, extensible makeup language (XML)-based data models are utilised to achieve easy-to-deploy and simple-to-use system customisation and implementation. A case study demonstrates how RAPShell is customised and deployed in a small- and medium-sized company to facilitate the operations of typical production decision makers and operators. Benefits from qualitative and quantitative are discussed from the case study to show RAPShell's practical effectiveness and efficiency on production decision making.
机译:在启用了射频识别(RFID)的实时制造环境中,不同的决策者常常面临高度同步的信息流与非标准化决策程序之间的矛盾,尤其是在目标冲突和动态情况下。这项研究提出了一种支持RFID的实时高级生产计划和调度程序外壳(简称RAPShell),以协调整个生产过程中的不同决策者。 RAPShell具有多项关键创新。首先,它使用RFID技术来增强信息共享,这为协调参与生产计划,调度,执行和控制的不同方面的决策和操作提供了基础。其次,它采用软件即服务(SaaS)模型和标准的面向服务的体系结构(SOA),其中包含关键模块,自适应优化模型,解决方案算法以及作为Web服务开发和部署的调度规则。最后,基于可扩展组成语言(XML)的数据模型用于实现易于部署和易于使用的系统自定义和实现。案例研究说明了如何定制RAPShell并将其部署在中小型公司中,以促进典型生产决策者和操作员的操作。通过案例研究讨论了定性和定量带来的好处,以显示RAPShell在生产决策上的实际有效性和效率。

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