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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >A decision-making methodology for the cloud-based recycling service of smart products: a robot vacuum cleaner case study
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A decision-making methodology for the cloud-based recycling service of smart products: a robot vacuum cleaner case study

机译：智能产品的基于云的回收服务的决策方法：机器人吸尘器案例研究

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摘要

The smart product represents a new type of products, which contains software and hardware components. Many obsolete smart products are required to be recycled each year. In the developing countries, the inappropriate treatment of obsolete smart products contaminates the natural environment. This study aims to coordinate the abilities of social recycling organisations and improve the recovery rate of waste smart products. A framework of the recycling service for smart products is proposed based on the concept of cloud manufacturing. In the framework, a smart product ontology is designed to integrate the lifecycle data generated by the smart product. To decide the recycling choice of the components of smart products with the lifecycle data, a fuzzy-rule-based decision method is proposed. In cloud-based recycling service, the abilities of different recycling factories are virtualised as a pool of recycling resources. The virtualisation is achieved by the recycling resource ontology. In order to select optimal recycling resources and encapsulate the recycling service, a grey-relational-analysis-based method is proposed. A robot vacuum cleaner, which is a smart product, is adopted to demonstrate the proposed decision methods. The results show that the methods are effective for deciding the cloud-based recycling service for smart products.
机译：智能产品代表了一种新型产品，其中包含软件和硬件组件。许多过时的智能产品需要每年回收。在发展中国家，过时智能产品的不当待遇污染了自然环境。本研究旨在协调社会回收组织的能力，提高废智能产品的回收率。基于云制造的概念，提出了智能产品回收服务的框架。在框架中，智能产品本体旨在集成智能产品生成的生命周期数据。要决定利用生命周期数据的智能产品组件的回收选择，提出了一种基于模糊规则的决策方法。在基于云的回收服务中，将不同回收工厂的能力虚拟化为回收资源池。通过回收资源本体实现虚拟化。为了选择最佳回收资源并封装回收服务，提出了一种基于灰度关系分析的方法。采用机器人吸尘器，即智能产品，展示所提出的决策方法。结果表明，该方法可有效地决定智能产品的基于云的回收服务。

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