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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >A combined multi-agent and case-based reasoning approach to support collaborative nonconformance problem solving in the thermoplastic injection moulding process
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A combined multi-agent and case-based reasoning approach to support collaborative nonconformance problem solving in the thermoplastic injection moulding process

机译：结合多主体和基于案例的推理方法，以支持热塑性注塑成型过程中的协作不合格问题解决

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摘要

Injection moulding is one of the most versatile technologies for processing thermoplastic materials used nowadays in industry. Despite all the technological resources used, the probability of occurring nonconformances in the production stage cannot be completely eliminated, and in general these nonconformances occur owing to the complex interrelation among the constructive elements of the moulded part, the mould, the rheological characteristics of the resin, and the processing conditions. These factors lead to a difficult analytical modelling, and frequently cause the task of discovering the source of nonconformance and its solution to become slow and costly. Owing to this scenario, this paper presents an agent-based architecture that includes case-based reasoning agents to support nonconformance problem solving. This paper presents the set of descriptors that represent the nonconformance features, as well as the implementation of a prototype based on the Java Agent DEvelopment Framework (JADE Platform) and the jCOLIBRI CBR Framework as core engine. The results show that the developed system supports adequately the collaborative nonconformance problem solving in injection moulding, since it quickly provides, through a friendly interface, the following information: (a) knowledge inference, retrieval and presentation; (b) the suggested solutions for the nonconformance; (c) the result of carrying out the solution.View full textDownload full textKeywordscase-based reasoning, collaborative problem solving, multi-agent system, nonconformance, thermoplastic injection mouldingRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/09511920903440321
机译：注射成型是当今工业上用于处理热塑性材料的最通用技术之一。尽管使用了所有技术资源，但仍不能完全消除在生产阶段出现不合格的可能性，并且通常这些不合格的出现是由于成型零件的构造要素，模具，树脂的流变特性之间的复杂相互关系所致。 ，以及处理条件。这些因素导致难以进行分析建模，并经常导致发现不合格源及其解决方案的任务变得缓慢而昂贵。由于这种情况，本文提出了一种基于代理的体系结构，其中包括基于案例的推理代理，以支持不合格问题的解决。本文介绍了代表不一致性特征的描述符集，以及基于Java Agent开发框架（JADE平台）和jCOLIBRI CBR框架作为核心引擎的原型的实现。结果表明，开发的系统通过友好的界面快速提供以下信息，从而为注射成型中的协作不合格问题的解决提供了足够的支持：（a）知识推断，检索和表示； （b）建议的不合格解决方案； （c）实施解决方案的结果。 citeulike，netvibes，twitter，technorati，美味，linkedin，facebook，stumbleupon，digg，google，更多”，发布：“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/09511920903440321

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