Optimizing plastics recycling networks
Plastic pollution is a serious sustainability issue facing the global community. Fragments of macroplastics and microplastics pollute terrestrial and aquatic ecosystems, while nanoplastics can also degrade air quality. The recent COVID-19 pandemic also exacerbated the problem. Large-scale commercial...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Cleaner Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266679082300037X |
| _version_ | 1797801687066345472 |
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| author | Kathleen B. Aviso Jonna C. Baquillas Anthony S.F. Chiu Peng Jiang Yee Van Fan Petar Sabev Varbanov Jiří Jaromír Klemeš Raymond R. Tan |
| author_facet | Kathleen B. Aviso Jonna C. Baquillas Anthony S.F. Chiu Peng Jiang Yee Van Fan Petar Sabev Varbanov Jiří Jaromír Klemeš Raymond R. Tan |
| author_sort | Kathleen B. Aviso |
| collection | DOAJ |
| description | Plastic pollution is a serious sustainability issue facing the global community. Fragments of macroplastics and microplastics pollute terrestrial and aquatic ecosystems, while nanoplastics can also degrade air quality. The recent COVID-19 pandemic also exacerbated the problem. Large-scale commercial use of plastics recycling technologies is hindered by various socio-economic barriers. In particular, cross-contamination of mixed plastic streams is prevalent due to imperfect waste segregation. The concept of Plastics Recycling Networks is introduced to facilitate planning of reverse supply chains using optimization models. In this work, basic Linear Programming and Mixed-Integer Linear Programming models are developed for matching sources of waste plastic with plastic recycling plants within Plastics Recycling Networks. These models allocate streams while considering the ability of recycling plants to tolerate contaminants. Two illustrative case studies are analyzed to demonstrate the effectiveness of the models, and policy implications for mitigation of plastic pollution are discussed. These models enable planning of networks with some tolerance for contaminants in plastic waste, and can be the basis for developing new variants to handle additional real world aspects. |
| first_indexed | 2024-03-13T04:54:15Z |
| format | Article |
| id | doaj.art-1962801ca8204170b64e14daa0048f42 |
| institution | Directory Open Access Journal |
| issn | 2666-7908 |
| language | English |
| last_indexed | 2024-03-13T04:54:15Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Engineering and Technology |
| spelling | doaj.art-1962801ca8204170b64e14daa0048f422023-06-18T05:03:33ZengElsevierCleaner Engineering and Technology2666-79082023-06-0114100632Optimizing plastics recycling networksKathleen B. Aviso0Jonna C. Baquillas1Anthony S.F. Chiu2Peng Jiang3Yee Van Fan4Petar Sabev Varbanov5Jiří Jaromír Klemeš6Raymond R. Tan7Department of Chemical Engineering, De La Salle University, 2401 Taft Avenue, 0922, Manila, PhilippinesDepartment of Marketing and Advertising, De La Salle University, 2401 Taft Avenue, 0922, Manila, PhilippinesDepartment of Industrial and Systems Engineering, De La Salle University, 2401 Taft Avenue, 0922, Manila, PhilippinesDepartment of Industrial Engineering and Management, Business School, Sichuan University, Chengdu, 610064, ChinaSustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology – VUT Brno, Technická 2896/2, 616 69, Brno, Czech RepublicSustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology – VUT Brno, Technická 2896/2, 616 69, Brno, Czech RepublicSustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology – VUT Brno, Technická 2896/2, 616 69, Brno, Czech RepublicDepartment of Chemical Engineering, De La Salle University, 2401 Taft Avenue, 0922, Manila, Philippines; Corresponding author.Plastic pollution is a serious sustainability issue facing the global community. Fragments of macroplastics and microplastics pollute terrestrial and aquatic ecosystems, while nanoplastics can also degrade air quality. The recent COVID-19 pandemic also exacerbated the problem. Large-scale commercial use of plastics recycling technologies is hindered by various socio-economic barriers. In particular, cross-contamination of mixed plastic streams is prevalent due to imperfect waste segregation. The concept of Plastics Recycling Networks is introduced to facilitate planning of reverse supply chains using optimization models. In this work, basic Linear Programming and Mixed-Integer Linear Programming models are developed for matching sources of waste plastic with plastic recycling plants within Plastics Recycling Networks. These models allocate streams while considering the ability of recycling plants to tolerate contaminants. Two illustrative case studies are analyzed to demonstrate the effectiveness of the models, and policy implications for mitigation of plastic pollution are discussed. These models enable planning of networks with some tolerance for contaminants in plastic waste, and can be the basis for developing new variants to handle additional real world aspects.http://www.sciencedirect.com/science/article/pii/S266679082300037XPlastic wasteMicroplasticsCircular economyReverse logisticsProcess integration |
| spellingShingle | Kathleen B. Aviso Jonna C. Baquillas Anthony S.F. Chiu Peng Jiang Yee Van Fan Petar Sabev Varbanov Jiří Jaromír Klemeš Raymond R. Tan Optimizing plastics recycling networks Cleaner Engineering and Technology Plastic waste Microplastics Circular economy Reverse logistics Process integration |
| title | Optimizing plastics recycling networks |
| title_full | Optimizing plastics recycling networks |
| title_fullStr | Optimizing plastics recycling networks |
| title_full_unstemmed | Optimizing plastics recycling networks |
| title_short | Optimizing plastics recycling networks |
| title_sort | optimizing plastics recycling networks |
| topic | Plastic waste Microplastics Circular economy Reverse logistics Process integration |
| url | http://www.sciencedirect.com/science/article/pii/S266679082300037X |
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