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Prediction of End-of-Life Strategies for Household Equipments Using Artificial Intelligent

机译:使用人工智能预测家用设备的报废策略

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摘要

Problem statement: Environment issue on the dumping of used household product is a big challenge nowadays. Towards green design, life cycle of a product is very crucial. This study discussed on recycling strategies which include reuse, service, remanufacture and recycle with or without disassembly by using Support Vector Machine Method (SVM). Approach: In early stage of prediction, the input parameters of wear-out life; technology cycle, level of integration, number of parts, reason for redesign and design cycle were incorporated. Six household equipments were studied includes vacuum cleaner, washing machine, television, portable radio and hand held vacuum. Results: The end life predicted results were compared with the previous literature study. Conclusion: The developed End Of Life (EOL) strategies model is good in agreement with existing industry practice.
机译:问题陈述:废弃家用产品的环境问题是当今的一大挑战。对于绿色设计,产品的生命周期至关重要。这项研究讨论了回收策略,包括使用支持向量机方法(SVM)进行重复使用,服务,再制造和有或没有拆卸的回收。方法:在预测的早期阶段,输入磨损寿命参数;技术周期,集成度,零件数量,重新设计的原因和设计周期已被纳入。研究了六种家用设备,包括吸尘器,洗衣机,电视,便携式收音机和手持式吸尘器。结果:将使用寿命预测结果与以前的文献研究进行了比较。结论:开发的寿命终止(EOL)策略模型与现有行业惯例相吻合。

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