Implementation and Field Validation of a Digital Twin Methodology to Enhance Production and Service Systems in Waste Management
The sustainable management of organic waste is a global priority due to its environmental impact and the increasing pressure on urban and rural systems, particularly in regions with limited technological infrastructure. This study introduces and validates a comprehensive methodology based on Digital...
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MDPI AG
2025-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/12/6733 |
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| author | Jhonathan Mauricio Vargas Omar Danilo Castrillon Jaime Alberto Giraldo |
| author_facet | Jhonathan Mauricio Vargas Omar Danilo Castrillon Jaime Alberto Giraldo |
| author_sort | Jhonathan Mauricio Vargas |
| collection | DOAJ |
| description | The sustainable management of organic waste is a global priority due to its environmental impact and the increasing pressure on urban and rural systems, particularly in regions with limited technological infrastructure. This study introduces and validates a comprehensive methodology based on Digital Twins (DTs) to optimize production and service systems in organic waste management. The methodology includes contextual and propositional phases and is built on a modular three-layer architecture (physical, cloud, and virtual) that enables real-time monitoring, simulation, and feedback. It was validated through a field implementation in a composting facility in Cajamarca, Colombia. The results showed a 10% increase in composting efficiency and a monthly gain of 1200 kg of compost. A statistical analysis confirmed a significant increase in process efficiency (<i>p</i> < 0.001) and a reduction in performance variability (<i>p</i> < 0.01). The return on investment reached 18,957.6% using low-cost technology. These findings demonstrate the viability and adaptability of the proposed methodology for low-tech environments and support its potential for scaling in circular economy applications across waste management and agriculture. |
| format | Article |
| id | doaj-art-55f5ff26f9a24d7286dd7f1e81df0e52 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-55f5ff26f9a24d7286dd7f1e81df0e522025-08-20T02:24:18ZengMDPI AGApplied Sciences2076-34172025-06-011512673310.3390/app15126733Implementation and Field Validation of a Digital Twin Methodology to Enhance Production and Service Systems in Waste ManagementJhonathan Mauricio Vargas0Omar Danilo Castrillon1Jaime Alberto Giraldo2Faculty of Engineering and Architecture, Industrial Engineering Universidad Nacional de Colombia—Sede Manizales, Campus La Nubia, Manizales 170001, ColombiaFaculty of Engineering and Architecture, Industrial Engineering Universidad Nacional de Colombia—Sede Manizales, Campus La Nubia, Manizales 170001, ColombiaFaculty of Engineering and Architecture, Industrial Engineering Universidad Nacional de Colombia—Sede Manizales, Campus La Nubia, Manizales 170001, ColombiaThe sustainable management of organic waste is a global priority due to its environmental impact and the increasing pressure on urban and rural systems, particularly in regions with limited technological infrastructure. This study introduces and validates a comprehensive methodology based on Digital Twins (DTs) to optimize production and service systems in organic waste management. The methodology includes contextual and propositional phases and is built on a modular three-layer architecture (physical, cloud, and virtual) that enables real-time monitoring, simulation, and feedback. It was validated through a field implementation in a composting facility in Cajamarca, Colombia. The results showed a 10% increase in composting efficiency and a monthly gain of 1200 kg of compost. A statistical analysis confirmed a significant increase in process efficiency (<i>p</i> < 0.001) and a reduction in performance variability (<i>p</i> < 0.01). The return on investment reached 18,957.6% using low-cost technology. These findings demonstrate the viability and adaptability of the proposed methodology for low-tech environments and support its potential for scaling in circular economy applications across waste management and agriculture.https://www.mdpi.com/2076-3417/15/12/6733digital twinsimplementation methodologywaste managementcompostingcircular economylow-tech environments |
| spellingShingle | Jhonathan Mauricio Vargas Omar Danilo Castrillon Jaime Alberto Giraldo Implementation and Field Validation of a Digital Twin Methodology to Enhance Production and Service Systems in Waste Management Applied Sciences digital twins implementation methodology waste management composting circular economy low-tech environments |
| title | Implementation and Field Validation of a Digital Twin Methodology to Enhance Production and Service Systems in Waste Management |
| title_full | Implementation and Field Validation of a Digital Twin Methodology to Enhance Production and Service Systems in Waste Management |
| title_fullStr | Implementation and Field Validation of a Digital Twin Methodology to Enhance Production and Service Systems in Waste Management |
| title_full_unstemmed | Implementation and Field Validation of a Digital Twin Methodology to Enhance Production and Service Systems in Waste Management |
| title_short | Implementation and Field Validation of a Digital Twin Methodology to Enhance Production and Service Systems in Waste Management |
| title_sort | implementation and field validation of a digital twin methodology to enhance production and service systems in waste management |
| topic | digital twins implementation methodology waste management composting circular economy low-tech environments |
| url | https://www.mdpi.com/2076-3417/15/12/6733 |
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