Forecasting of Disassembly Waste Generation under Uncertainties Using Digital Twinning-Based Hidden Markov Model

Forecasting of Disassembly Waste Generation under Uncertainties Using Digital Twinning-Based Hidden Markov Model

Disassembly waste generation forecasting is the foundation for determining disassembly waste treatment and process formulation and is also an important prerequisite for optimizing waste management. The prediction of disassembly waste generation is a complex process which is affected by potential tim...

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Bibliographic Details
Main Authors: Yinsheng Yang, Gang Yuan, Jiaxiang Cai, Silin Wei
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
disassembly
DG-HMM
waste forecasting
digital twinning
optimization
real-time interaction
Online Access:https://www.mdpi.com/2071-1050/13/10/5391

Internet

https://www.mdpi.com/2071-1050/13/10/5391

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