Cloud‐based product‐service systems platform for household solid waste classification management

Wan, Ming; Qu, Ting; Huang, Manna; Li, Lianhui; Huang, George Q.

doi:10.1049/iet-cim.2019.0062

Cited by 10 publications

(22 citation statements)

References 42 publications

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“…Process: separation 1. Government: ensure the classification scheme and measurement of resource utilization [9], improving the waste processing system [9], providing education and guidance on waste separation [9], implementing scheduled or flexible segregated waste pickup [9], responsible for waste disposal and recycling [53], assisting in the implementation and promotion of waste classification policies [40], encouraging a culture of citizen awareness of waste classification [40], get notification that the trash can is full [50], implementing waste management policies and regulations [59], and providing smart waste containers for the community to rent [47]. 2.…”

Section: Actor's Rolementioning

confidence: 99%

“…2. Household: separate waste with the help of digital artifacts [9,19,40,48], making waste reservations and preparing waste [51], using smart waste containers (Gunawan et al, 2021), and rent smart waste containers through the platform [47] 3. Waste management service providers: provide messages to respond and to pick up waste [51], collect and manage waste in residential areas [59], manage property for waste management [47], and receive messages when the waste level has reached the specified level and the presence of toxic gas [48].…”

Section: Actor's Rolementioning

confidence: 99%

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Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Wirani,

Eitiveni,

Sucahyo

2024

Preprint

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Household waste is the primary source of environmental pollution due to global population growth compared to other sources of waste. This research aims to develop a smart and integrated household waste management system framework. The resulting framework not only focuses on dimensions of information technology but also links it with other integrated dimensions. This research attempts to conduct a Systematic Literature Review (SLR) using the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) protocol to produce a smart and integrated household waste management framework. The framework's design is carried out by identifying the type of household waste management process based on the Integrated Sustainable Waste Management (ISWM) framework, dimensions that support smart household waste management, and stakeholders involved. The SLR results, namely dimensions and subdimensions that support the framework of a smart and integrated household waste management system, were validated by a resource person from the Indonesian Ministry of Environment and Forestry. The smart and integrated household waste management framework that has been developed in this research contains five main dimensions: Information Technology, Operational Infrastructure, Governance, Economy, and Social-culture. This framework also addresses stakeholder engagement to support smart household waste management systems and identifies waste management processes based on the ISWM framework. This research uses the PRISMA technique to provide a framework for smart and integrated household waste management systems in the initial stage. The proposed framework has been validated and can be further developed as a smart and integrated household waste management system. This research also contributes to the involvement of various dimensions identified to deal with waste problems.

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Section: Actor's Rolementioning

confidence: 99%

Section: Actor's Rolementioning

confidence: 99%

Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Wirani,

Eitiveni,

Sucahyo

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…AI-based techniques, such as artificial neural network (ANN), multilayer perception, adaptive neuro-fuzzy inference system, and evolutionary algorithms have been implemented to address air pollution and emissions reduction [18]- [20]. Moreover, different technologies, such as cloud and edge computing [21]- [25], are also embedded in today's urban infrastructures [26]- [29]. These technologies are used to store and process data from almost anywhere.…”

Section: Related Workmentioning

confidence: 99%

IoT-Based Route Recommendation for an Intelligent Waste Management System

Ghahramani

Zhou

Mölter

et al. 2022

IEEE Internet Things J.

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The Internet of Things (IoT) is a paradigm characterized by a network of embedded sensors and services. These sensors are incorporated to collect various information, track physical conditions, e.g., waste bins' status, and exchange data with different centralized platforms. The need for such sensors is increasing; however, the proliferation of technologies comes with various challenges. For example, how can IoT and its associated data be used to enhance waste management? In smart cities, an efficient waste management system is crucial. Artificial intelligence (AI) and IoT-enabled approaches can empower cities to manage the waste collection. This work proposes an intelligent approach to route recommendation in an IoT-enabled waste management system given spatial constraints. It performs a thorough analysis based on AI-based methods and compare their corresponding results. Our solution is based on a multiple-level decision-making process in which bins' status and coordinates are taken into account to address the routing problem. Such AI-based models can help engineers design a sustainable infrastructure system.

show abstract

“…AIbased techniques such as Artificial Neural Network, multilayer perception, Adaptive Neuro-Fuzzy Inference System, and Evolutionary Algorithms have been implemented to address air pollution and emissions reduction [18]- [20]. Moreover, different technologies, such as cloud and edge computing [21]- [25], are also embedded in today's urban infrastructures [26]- [29]. These technologies are used to store and process data from almost anywhere.…”

Section: Related Workmentioning

confidence: 99%

IoT-based Route Recommendation for an Intelligent Waste Management System

Ghahramani,

Zhou,

Molter

et al. 2022

Preprint

View full text Add to dashboard Cite

The Internet of Things (IoT) is a paradigm characterized by a network of embedded sensors and services. These sensors are incorporated to collect various information, track physical conditions, e.g., waste bins' status, and exchange data with different centralized platforms. The need for such sensors is increasing; however, proliferation of technologies comes with various challenges. For example, how can IoT and its associated data be used to enhance waste management? In smart cities, an efficient waste management system is crucial. Artificial Intelligence (AI) and IoT-enabled approaches can empower cities to manage the waste collection. This work proposes an intelligent approach to route recommendation in an IoT-enabled waste management system given spatial constraints. It performs a thorough analysis based on AI-based methods and compare their corresponding results. Our solution is based on a multiple-level decision-making process in which bins' status and coordinates are taken into account to address the routing problem. Such AI-based models can help engineers design a sustainable infrastructure system.

show abstract

Cloud‐based product‐service systems platform for household solid waste classification management

Cited by 10 publications

References 42 publications

Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

IoT-Based Route Recommendation for an Intelligent Waste Management System

IoT-based Route Recommendation for an Intelligent Waste Management System

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