基于决策理论的方法来支持炊具罩制造的行动计划。

IF 0.8 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Dyna Pub Date : 2019-03-01 DOI:10.6036/8890

Paolo Cicconi, Leonardo Postacchini, Nicola Bergantino, Gianluca Capuzzi, Anna Costanza Russo, Roberto Raffaeli, Michele Germani

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引用次数: 0

摘要

目前，基于知识的系统是广泛应用于产品设计和制造计划的决策工具。批量生产需要灵活快速的决策方法来支持生产线的行动。因此，需要基于代理的工具来支持意外生产故障的检测、诊断和纠正。工业4.0的背景是加强传感器在生产线上的集成，以监控生产和分析故障。本研究的动机是研究和验证决策理论方法在智能制造中的应用。本文展示了一种基于知识的方法，通过贝叶斯网络模型来支持行动决策过程。所提出的方法旨在解决制造过程中检测到的生产问题。尤其是油烟机的自动化生产。案例研究描述了在检测到质量问题后，如何将该方法应用于实时控制行动。关键词：知识库，贝叶斯网络，工业4.0，锅罩。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

ENFOQUE SEGÚN LA TEORÍA DE DECISIONES PARA APOYAR LOS PLANES DE ACTUACIÓN EN LA FABRICACIÓN DE CAMPANAS DE COCINA.

Nowadays, Knowledge-Based systems are widespread decision-making tools applied in product design and manufacturing planning. The series production requires agile and rapid decision-making methods to support actions in manufacturing lines. Therefore, agent-based tools are necessary to support the detection, diagnosis, and correction of accidental production faults. The context of Industry 4.0 has been enhancing the integration of sensors in manufacturing lines to monitor production and analyze failures. The motivation of the proposed research is to study and validate decision theory methods to be applied in smart manufacturing. This paper shows a Knowledge-Based approach to support action decision-making processes by a Bayesian network model. The proposed method aims at solving production problems detected in the manufacturing process. In particular, the focus is on the automatic production of cooker hoods. A case study describes how the approach can be applied in the real-time control actions, after a problem in quality is detected. Keywords: Knowledge Base, Bayesian Network, Industry 4.0, Cooker Hoods.

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来源期刊

Dyna 工程技术-工程：综合

CiteScore

1.00

自引率

10.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： Founded in 1926, DYNA is one of the journal of general engineering most influential and prestigious in the world, as it recognizes Clarivate Analytics. Included in Science Citation Index Expanded, its impact factor is published every year in Journal Citations Reports (JCR). It is the Official Body for Science and Technology of the Spanish Federation of Regional Associations of Engineers (FAIIE). Scientific journal agreed with AEIM (Spanish Association of Mechanical Engineering) In character Scientific-technical, it is the most appropriate way for communication between Multidisciplinary Engineers and for expressing their ideas and experience. DYNA publishes 6 issues per year: January, March, May, July, September and November.