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- W2034128481 abstract "To aid in the disassembly process of various obsolete products, expert systems can be used to model the process and provide valuable insight pertaining to the decisions made within the process. This paper discusses such a model that integrates a Disassembly Petri Net (DPN) with a Hybrid Bayesian Network (HBN). The rationale for this framework as well as its construction is presented in detail. With the incorporation of human factors and condition of disassembled units, this model proves to be more applicable to real industry setting. The suggestions for parameter learning are also discussed, allowing for the BN to give better results when many products have been disassembled." @default.
- W2034128481 created "2016-06-24" @default.
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- W2034128481 date "2007-01-01" @default.
- W2034128481 modified "2023-09-26" @default.
- W2034128481 title "A Learning Strategy for Disassembly Process Planning" @default.
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- W2034128481 doi "https://doi.org/10.1109/icnsc.2007.372827" @default.
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