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首页> 外文期刊>IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans >Process-data-warehousing-based operator support system for complex production technologies
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Process-data-warehousing-based operator support system for complex production technologies

机译:基于过程数据仓库的操作员支持系统,用于复杂的生产技术

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Process manufacturing is increasingly being driven by market forces, customer needs, and perceptions, resulting in more and more complex multiproduct manufacturing technologies. The increasing automation and tighter quality constraints related to these processes make the operator's job more and more difficult. This makes decision support systems (DSSs) for the operator more important than ever before. A traditional operator support system (OSS) focuses only on specific tasks that are performed. In the case of complex processes, the design of an integrated information system is extremely important. The proposed data-warehouse-based OSS makes possible linking complex and isolated production units based on the integration of the heterogenous information collected from the production units of a complex production process. The developed OSS is based on a data warehouse designed by following the proposed focus-on-process data-warehouse-design approach, which means stronger focus on the material and information flow through the entire enterprise. The resulting OSS follows the process through the organization instead of focusing separate tasks of the isolated process units. For human-computer interaction, front-end tools have been worked out, where exploratory data analysis and advanced multivariate statistical models are applied to extract the most informative features of the operation of the technology. The concept is illustrated by an industrial case study, where the OSS is designed for the monitoring and control of a high-density polyethylene (HDPE) plant.
机译:过程制造越来越受到市场力量,客户需求和看法的驱动,从而导致越来越复杂的多产品制造技术。与这些过程相关的不断提高的自动化程度和更严格的质量限制使操作员的工作越来越困难。这使得运营商的决策支持系统(DSS)比以往任何时候都更加重要。传统的操作员支持系统(OSS)仅专注于执行的特定任务。在复杂的过程中,集成信息系统的设计非常重要。所提出的基于数据仓库的OSS可以基于从复杂生产过程的生产单元收集的异构信息的集成来链接复杂且隔离的生产单元。所开发的OSS基于数据仓库,该数据仓库是按照拟议的过程数据仓库设计方法设计的,这意味着更加关注整个企业的物料和信息流。最终的OSS通过整个组织来跟踪该过程,而不是专注于隔离的过程单元的单独任务。对于人机交互,已经开发出前端工具,其中使用探索性数据分析和高级多元统计模型来提取该技术操作的最有用的功能。工业案例研究说明了该概念,其中OSS设计用于监视和控制高密度聚乙烯(HDPE)工厂。

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