Abstract
The household solid waste (HSW) classification management plays an important role in reducing and recycling urban garbage in current residential community. However, with the rapid development of urbanisation in developing countries and the continuous increase of urban waste, the traditional waste management modes and technologies cannot satisfy the newly emerged needs of collecting and transporting solid waste in the accurate and effective way. Under this background, this research carries out a preliminary study on the HSW classification system and the resource servitisation. According to the HSW classification process, a cloud-based product-service systems (PSSs) platform, targeting on managing those solid waste management resources such as internet of things enabled smart waste bin, is established. The proposed PSS platform will be illustrated from four layers: physical layer, management layer, service layer and application layer. Additionally, the multistakeholders' value analysis of the platform will be provided from five aspects. Finally, a PSS-based real-life case of managing household waste bin is investigated and analysed in order to verify the feasibility of the proposed platform.
Original language | English |
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Pages (from-to) | 66-73 |
Number of pages | 8 |
Journal | IET Collaborative Intelligent Manufacturing |
Volume | 2 |
Issue number | 2 |
DOIs | |
Publication status | Published - Jun 2020 |
Externally published | Yes |
Keywords
- Waste reduction
- Recycling
- Cloud computing
- Pattern classification
- environmental science computing
- cloud-based product-service systems platform
- household solid waste classification management
- urban garbage
- current residential community
- Urban waste
- HSW classification system
- HSW classification process
- solid waste management resources
- smart waste bin
- PSS platform
- management layer
- service layer
- application layer
- PSS-based real-life case
- household waste bin
- physical layer
- solid waste transportation
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Science Applications
- Industrial and Manufacturing Engineering
- Artificial Intelligence