Digitalisation and intelligent robotics in value chain of circular economy oriented waste management – A review
•Digitalisation & intelligent robotics are tools in value chain of waste management.•Municipal waste management development is defined by Circular Economy Package.•4 segments: Collection & Logistics, Machines & WTP, Business Models and Data Tools.•Extensive survey of (inter)national data...
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Published in | Waste management (Elmsford) Vol. 95; pp. 476 - 492 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Ltd
15.07.2019
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Subjects | |
Online Access | Get full text |
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Abstract | •Digitalisation & intelligent robotics are tools in value chain of waste management.•Municipal waste management development is defined by Circular Economy Package.•4 segments: Collection & Logistics, Machines & WTP, Business Models and Data Tools.•Extensive survey of (inter)national data (period 2001–2019): 114 sources utilized.•Smart Waste Factory: Machines are digitally connected and communicate with waste.
The general aim of circular economy is the most efficient and comprehensive use of resources. In order to achieve this goal, new approaches of Industry 4.0 are being developed and implemented in the field of waste management. The innovative K-project: Recycling and Recovery of Waste 4.0 - “ReWaste4.0” deals with topics such as digitalisation and the use of robotic technologies in waste management. Here, a summary of the already published results in these areas, which were divided into the four focused topics, is given: Collection and Logistics, Machines and waste treatment plants, Business models and Data Tools. Presented are systems and methods already used in waste management, as well as technologies that have already been successfully applied in other industrial sectors and will also be relevant in the waste management sector for the future. The focus is set on systems that could be used in waste treatment plants or machines in the future in order to make treatment of waste more efficient. In particular, systems which carry out the sorting of (mixed) waste via robotic technologies are of interest. Furthermore “smart bins” with sensors for material detection or level measurement, methods for digital image analysis and new business models have already been developed. The technologies are often based on large amounts of data that can contribute to increase the efficiency within plants. In addition, the results of an online market survey of companies from the waste management industry on the subject of waste management 4.0 or “digital readiness” are summarized. |
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AbstractList | The general aim of circular economy is the most efficient and comprehensive use of resources. In order to achieve this goal, new approaches of Industry 4.0 are being developed and implemented in the field of waste management. The innovative K-project: Recycling and Recovery of Waste 4.0 - “ReWaste4.0” deals with topics such as digitalisation and the use of robotic technologies in waste management. Here, a summary of the already published results in these areas, which were divided into the four focused topics, is given: Collection and Logistics, Machines and waste treatment plants, Business models and Data Tools. Presented are systems and methods already used in waste management, as well as technologies that have already been successfully applied in other industrial sectors and will also be relevant in the waste management sector for the future. The focus is set on systems that could be used in waste treatment plants or machines in the future in order to make treatment of waste more efficient. In particular, systems which carry out the sorting of (mixed) waste via robotic technologies are of interest. Furthermore “smart bins” with sensors for material detection or level measurement, methods for digital image analysis and new business models have already been developed. The technologies are often based on large amounts of data that can contribute to increase the efficiency within plants. In addition, the results of an online market survey of companies from the waste management industry on the subject of waste management 4.0 or “digital readiness” are summarized. The general aim of circular economy is the most efficient and comprehensive use of resources. In order to achieve this goal, new approaches of Industry 4.0 are being developed and implemented in the field of waste management. The innovative K-project: Recycling and Recovery of Waste 4.0 - "ReWaste4.0" deals with topics such as digitalisation and the use of robotic technologies in waste management. Here, a summary of the already published results in these areas, which were divided into the four focused topics, is given: Collection and Logistics, Machines and waste treatment plants, Business models and Data Tools. Presented are systems and methods already used in waste management, as well as technologies that have already been successfully applied in other industrial sectors and will also be relevant in the waste management sector for the future. The focus is set on systems that could be used in waste treatment plants or machines in the future in order to make treatment of waste more efficient. In particular, systems which carry out the sorting of (mixed) waste via robotic technologies are of interest. Furthermore "smart bins" with sensors for material detection or level measurement, methods for digital image analysis and new business models have already been developed. The technologies are often based on large amounts of data that can contribute to increase the efficiency within plants. In addition, the results of an online market survey of companies from the waste management industry on the subject of waste management 4.0 or "digital readiness" are summarized.The general aim of circular economy is the most efficient and comprehensive use of resources. In order to achieve this goal, new approaches of Industry 4.0 are being developed and implemented in the field of waste management. The innovative K-project: Recycling and Recovery of Waste 4.0 - "ReWaste4.0" deals with topics such as digitalisation and the use of robotic technologies in waste management. Here, a summary of the already published results in these areas, which were divided into the four focused topics, is given: Collection and Logistics, Machines and waste treatment plants, Business models and Data Tools. Presented are systems and methods already used in waste management, as well as technologies that have already been successfully applied in other industrial sectors and will also be relevant in the waste management sector for the future. The focus is set on systems that could be used in waste treatment plants or machines in the future in order to make treatment of waste more efficient. In particular, systems which carry out the sorting of (mixed) waste via robotic technologies are of interest. Furthermore "smart bins" with sensors for material detection or level measurement, methods for digital image analysis and new business models have already been developed. The technologies are often based on large amounts of data that can contribute to increase the efficiency within plants. In addition, the results of an online market survey of companies from the waste management industry on the subject of waste management 4.0 or "digital readiness" are summarized. •Digitalisation & intelligent robotics are tools in value chain of waste management.•Municipal waste management development is defined by Circular Economy Package.•4 segments: Collection & Logistics, Machines & WTP, Business Models and Data Tools.•Extensive survey of (inter)national data (period 2001–2019): 114 sources utilized.•Smart Waste Factory: Machines are digitally connected and communicate with waste. The general aim of circular economy is the most efficient and comprehensive use of resources. In order to achieve this goal, new approaches of Industry 4.0 are being developed and implemented in the field of waste management. The innovative K-project: Recycling and Recovery of Waste 4.0 - “ReWaste4.0” deals with topics such as digitalisation and the use of robotic technologies in waste management. Here, a summary of the already published results in these areas, which were divided into the four focused topics, is given: Collection and Logistics, Machines and waste treatment plants, Business models and Data Tools. Presented are systems and methods already used in waste management, as well as technologies that have already been successfully applied in other industrial sectors and will also be relevant in the waste management sector for the future. The focus is set on systems that could be used in waste treatment plants or machines in the future in order to make treatment of waste more efficient. In particular, systems which carry out the sorting of (mixed) waste via robotic technologies are of interest. Furthermore “smart bins” with sensors for material detection or level measurement, methods for digital image analysis and new business models have already been developed. The technologies are often based on large amounts of data that can contribute to increase the efficiency within plants. In addition, the results of an online market survey of companies from the waste management industry on the subject of waste management 4.0 or “digital readiness” are summarized. |
Author | Sarc, R. Curtis, A. Kandlbauer, L. Khodier, K. Pomberger, R. Lorber, K.E. |
Author_xml | – sequence: 1 givenname: R. surname: Sarc fullname: Sarc, R. email: renato.sarc@unileoben.ac.at organization: Department of Environmental and Energy Process Engineering, Chair of Waste Processing Technology and Waste Management, Montanuniversitaet Leoben, Franz-Josef-Straße 18, A-8700 Leoben, Austria – sequence: 2 givenname: A. surname: Curtis fullname: Curtis, A. organization: Department of Environmental and Energy Process Engineering, Chair of Waste Processing Technology and Waste Management, Montanuniversitaet Leoben, Franz-Josef-Straße 18, A-8700 Leoben, Austria – sequence: 3 givenname: L. surname: Kandlbauer fullname: Kandlbauer, L. organization: Department of Environmental and Energy Process Engineering, Chair of Waste Processing Technology and Waste Management, Montanuniversitaet Leoben, Franz-Josef-Straße 18, A-8700 Leoben, Austria – sequence: 4 givenname: K. surname: Khodier fullname: Khodier, K. organization: Department of Environmental and Energy Process Engineering, Chair of Process Technology and Industrial Environmental Protection, Montanuniversitaet Leoben, Franz-Josef-Straße 18, A-8700 Leoben, Austria – sequence: 5 givenname: K.E. surname: Lorber fullname: Lorber, K.E. organization: Department of Environmental and Energy Process Engineering, Chair of Waste Processing Technology and Waste Management, Montanuniversitaet Leoben, Franz-Josef-Straße 18, A-8700 Leoben, Austria – sequence: 6 givenname: R. surname: Pomberger fullname: Pomberger, R. organization: Department of Environmental and Energy Process Engineering, Chair of Waste Processing Technology and Waste Management, Montanuniversitaet Leoben, Franz-Josef-Straße 18, A-8700 Leoben, Austria |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31351634$$D View this record in MEDLINE/PubMed |
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Keywords | VIS CNN Intelligent robotics Waste treatment Digitalisation Industry 4.0 NFC BM XRF IoT DT Circular economy Smart waste factory SWFN4.0 PCNN ReWaste4.0 XRT DACH-region GI MP PMPG HW HMI BIM CL M2M RFID EMS Internet of Things LIBS Waste management NIR MIR EPC ICT |
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Snippet | •Digitalisation & intelligent robotics are tools in value chain of waste management.•Municipal waste management development is defined by Circular Economy... The general aim of circular economy is the most efficient and comprehensive use of resources. In order to achieve this goal, new approaches of Industry 4.0 are... |
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SubjectTerms | business enterprises Circular economy digital images Digitalisation image analysis industry Industry 4.0 Intelligent robotics Internet of Things markets recycling ReWaste4.0 robots Smart waste factory supply chain surveys Waste management Waste treatment wastes |
Title | Digitalisation and intelligent robotics in value chain of circular economy oriented waste management – A review |
URI | https://dx.doi.org/10.1016/j.wasman.2019.06.035 https://www.ncbi.nlm.nih.gov/pubmed/31351634 https://www.proquest.com/docview/2266335099 https://www.proquest.com/docview/2286870965 |
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