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 inWaste management (Elmsford) Vol. 95; pp. 476 - 492
Main Authors Sarc, R., Curtis, A., Kandlbauer, L., Khodier, K., Lorber, K.E., Pomberger, R.
Format Journal Article
LanguageEnglish
Published United States Elsevier Ltd 15.07.2019
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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.
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.
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  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
Volume 95
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