Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingness
With the development of the express delivery industry, how to increase the recycling rate of waste cartons has become a problem that needs to be solved. Recycling enterprises began to provide the new recycling mode, door-to-door recycling services, to residents with waste cartons. In this article, w...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2023-08-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-1519.pdf |
| _version_ | 1827860036663115776 |
|---|---|
| author | Yulong Xi Fengming Tao Schanelle Brooks |
| author_facet | Yulong Xi Fengming Tao Schanelle Brooks |
| author_sort | Yulong Xi |
| collection | DOAJ |
| description | With the development of the express delivery industry, how to increase the recycling rate of waste cartons has become a problem that needs to be solved. Recycling enterprises began to provide the new recycling mode, door-to-door recycling services, to residents with waste cartons. In this article, we constructed a site selection model for a carton recycling site with the aim of maximizing total profits. Considering the residents’ recycling willingness and the government subsidy earned through the contribution to carbon emission reduction, this model achieves the task of site selection and unit price fixation for carton recycling. We used the particle swarm optimization (PSO) algorithm to solve the model and compared it with the genetic algorithm (GA) for validity testing. PSO algorithm was also used to carry out sensitivity analysis in this model. The proposed model and the results of the sensitivity analysis can be used for decision-making in recycling enterprises as well as for further research on waste recycling and reverse logistics. |
| first_indexed | 2024-03-12T13:17:21Z |
| format | Article |
| id | doaj.art-4985a932016747b6aaa94a3e5ebf1c24 |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-03-12T13:17:21Z |
| publishDate | 2023-08-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-4985a932016747b6aaa94a3e5ebf1c242023-08-26T15:05:08ZengPeerJ Inc.PeerJ Computer Science2376-59922023-08-019e151910.7717/peerj-cs.1519Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingnessYulong XiFengming TaoSchanelle BrooksWith the development of the express delivery industry, how to increase the recycling rate of waste cartons has become a problem that needs to be solved. Recycling enterprises began to provide the new recycling mode, door-to-door recycling services, to residents with waste cartons. In this article, we constructed a site selection model for a carton recycling site with the aim of maximizing total profits. Considering the residents’ recycling willingness and the government subsidy earned through the contribution to carbon emission reduction, this model achieves the task of site selection and unit price fixation for carton recycling. We used the particle swarm optimization (PSO) algorithm to solve the model and compared it with the genetic algorithm (GA) for validity testing. PSO algorithm was also used to carry out sensitivity analysis in this model. The proposed model and the results of the sensitivity analysis can be used for decision-making in recycling enterprises as well as for further research on waste recycling and reverse logistics.https://peerj.com/articles/cs-1519.pdfCarton recyclingSite selectionPrice fixationPSOGA |
| spellingShingle | Yulong Xi Fengming Tao Schanelle Brooks Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingness PeerJ Computer Science Carton recycling Site selection Price fixation PSO GA |
| title | Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingness |
| title_full | Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingness |
| title_fullStr | Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingness |
| title_full_unstemmed | Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingness |
| title_short | Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents’ recycling willingness |
| title_sort | optimization of carton recycling site selection using particle swarm optimization algorithm considering residents recycling willingness |
| topic | Carton recycling Site selection Price fixation PSO GA |
| url | https://peerj.com/articles/cs-1519.pdf |
| work_keys_str_mv | AT yulongxi optimizationofcartonrecyclingsiteselectionusingparticleswarmoptimizationalgorithmconsideringresidentsrecyclingwillingness AT fengmingtao optimizationofcartonrecyclingsiteselectionusingparticleswarmoptimizationalgorithmconsideringresidentsrecyclingwillingness AT schanellebrooks optimizationofcartonrecyclingsiteselectionusingparticleswarmoptimizationalgorithmconsideringresidentsrecyclingwillingness |