Combining an artificial intelligence algorithm and a novel vehicle for sustainable e-waste collection
Mobile collection of waste electrical and electronic equipment is a collection method that is convenient for residents and companies. New opportunities to use mobile apps and internet applications facilitate the ordering of waste pickups from households and preparation of a collection plan for a was...
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| Veröffentlicht in: | The Science of the total environment 2020-08, Vol.730, p.138726-138726, Article 138726 |
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| container_title | The Science of the total environment |
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| creator | Nowakowski, Piotr Szwarc, Krzysztof Boryczka, Urszula |
| description | Mobile collection of waste electrical and electronic equipment is a collection method that is convenient for residents and companies. New opportunities to use mobile apps and internet applications facilitate the ordering of waste pickups from households and preparation of a collection plan for a waste collection company. It improves the secondary raw materials collection in a circular economy approach after recycling waste equipment.
This study presents a combined methodology for improving the efficiency of e-waste collection. An online e-waste collection supporting system uses a Harmony Search algorithm for route optimization of waste collection vehicles. The results of the optimization are better compared to other artificial intelligence algorithms presented in the literature and the number of visited collection points is higher from 1.2%–6.6% depending on the compared algorithm. To increase the efficiency of waste loading and packing, a novel collection vehicle body construction is presented. The design includes the convenient loading of waste from both sides of the vehicle and the rear side being equipped with a hydraulic lift. The proposed vehicle model can be used for e-waste collection in places with limited parking spaces or where the parking time is limited, such as in densely populated city centers. The waste equipment packing efficiency increases and eliminates the necessity of including a container loading problem in the algorithm and allows increasing waste equipment number loaded in a collection vehicle.
[Display omitted]
•Combined artificial intelligence supported collection and a novel vehicle body.•Harmony search algorithm for route optimization in on-demand e-waste collection•A novel construction of waste collection vehicle body with convenient loading•The efficiency of waste collection including routing and packing for the vehicles•Benefits for the environment and human health by the collection of hazardous waste |
| doi_str_mv | 10.1016/j.scitotenv.2020.138726 |
| format | Article |
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This study presents a combined methodology for improving the efficiency of e-waste collection. An online e-waste collection supporting system uses a Harmony Search algorithm for route optimization of waste collection vehicles. The results of the optimization are better compared to other artificial intelligence algorithms presented in the literature and the number of visited collection points is higher from 1.2%–6.6% depending on the compared algorithm. To increase the efficiency of waste loading and packing, a novel collection vehicle body construction is presented. The design includes the convenient loading of waste from both sides of the vehicle and the rear side being equipped with a hydraulic lift. The proposed vehicle model can be used for e-waste collection in places with limited parking spaces or where the parking time is limited, such as in densely populated city centers. The waste equipment packing efficiency increases and eliminates the necessity of including a container loading problem in the algorithm and allows increasing waste equipment number loaded in a collection vehicle.
[Display omitted]
•Combined artificial intelligence supported collection and a novel vehicle body.•Harmony search algorithm for route optimization in on-demand e-waste collection•A novel construction of waste collection vehicle body with convenient loading•The efficiency of waste collection including routing and packing for the vehicles•Benefits for the environment and human health by the collection of hazardous waste</description><identifier>ISSN: 0048-9697</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2020.138726</identifier><identifier>PMID: 32388362</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Circular economy ; E-waste ; Harmony Search algorithm ; Mobile collection of e-waste ; Waste collection vehicle ; Waste electrical and electronic equipment</subject><ispartof>The Science of the total environment, 2020-08, Vol.730, p.138726-138726, Article 138726</ispartof><rights>2020 The Authors</rights><rights>Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3356-1dc02a4e7f0d4c2a8b036d7a7181f7e395de6a86c2df6302d121c112aca123b23</citedby><cites>FETCH-LOGICAL-c3356-1dc02a4e7f0d4c2a8b036d7a7181f7e395de6a86c2df6302d121c112aca123b23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.scitotenv.2020.138726$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32388362$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nowakowski, Piotr</creatorcontrib><creatorcontrib>Szwarc, Krzysztof</creatorcontrib><creatorcontrib>Boryczka, Urszula</creatorcontrib><title>Combining an artificial intelligence algorithm and a novel vehicle for sustainable e-waste collection</title><title>The Science of the total environment</title><addtitle>Sci Total Environ</addtitle><description>Mobile collection of waste electrical and electronic equipment is a collection method that is convenient for residents and companies. New opportunities to use mobile apps and internet applications facilitate the ordering of waste pickups from households and preparation of a collection plan for a waste collection company. It improves the secondary raw materials collection in a circular economy approach after recycling waste equipment.
This study presents a combined methodology for improving the efficiency of e-waste collection. An online e-waste collection supporting system uses a Harmony Search algorithm for route optimization of waste collection vehicles. The results of the optimization are better compared to other artificial intelligence algorithms presented in the literature and the number of visited collection points is higher from 1.2%–6.6% depending on the compared algorithm. To increase the efficiency of waste loading and packing, a novel collection vehicle body construction is presented. The design includes the convenient loading of waste from both sides of the vehicle and the rear side being equipped with a hydraulic lift. The proposed vehicle model can be used for e-waste collection in places with limited parking spaces or where the parking time is limited, such as in densely populated city centers. The waste equipment packing efficiency increases and eliminates the necessity of including a container loading problem in the algorithm and allows increasing waste equipment number loaded in a collection vehicle.
[Display omitted]
•Combined artificial intelligence supported collection and a novel vehicle body.•Harmony search algorithm for route optimization in on-demand e-waste collection•A novel construction of waste collection vehicle body with convenient loading•The efficiency of waste collection including routing and packing for the vehicles•Benefits for the environment and human health by the collection of hazardous waste</description><subject>Circular economy</subject><subject>E-waste</subject><subject>Harmony Search algorithm</subject><subject>Mobile collection of e-waste</subject><subject>Waste collection vehicle</subject><subject>Waste electrical and electronic equipment</subject><issn>0048-9697</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkEFvWyEMgNG0as3a_YWN4y4vw_AK5FhF61ap0i7bGfHALyXiQQck0_79iNL1Wl8sW59t-SPkE7A1MJBf9uvqQssN03HNGe9doRWXb8gKtNoMwLh8S1aMjXrYyI26JO9r3bMeSsM7cim40FpIviK4zcsUUkg7ahO1pYU5uGAjDalhjGGHySG1cZdLaI9Lhzy1NOUjRnrEx-Ai0jkXWg-12ZDs1Gsc_tjakLocI7oWcromF7ONFT885yvy6-7rz-334eHHt_vt7cPghLiRA3jHuB1RzcyPjls9MSG9sgo0zArF5sajtFo67mcpGPfAwQFw6yxwMXFxRT6f9z6V_PuAtZklVNf_sAnzoRo-MgAmgI0dVWfUlVxrwdk8lbDY8tcAMyfHZm9eHJuTY3N23Cc_Ph85TAv6l7n_Ujtwewawv3oMWE6LTh59KN2H8Tm8euQfCUGTBw</recordid><startdate>20200815</startdate><enddate>20200815</enddate><creator>Nowakowski, Piotr</creator><creator>Szwarc, Krzysztof</creator><creator>Boryczka, Urszula</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20200815</creationdate><title>Combining an artificial intelligence algorithm and a novel vehicle for sustainable e-waste collection</title><author>Nowakowski, Piotr ; Szwarc, Krzysztof ; Boryczka, Urszula</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3356-1dc02a4e7f0d4c2a8b036d7a7181f7e395de6a86c2df6302d121c112aca123b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Circular economy</topic><topic>E-waste</topic><topic>Harmony Search algorithm</topic><topic>Mobile collection of e-waste</topic><topic>Waste collection vehicle</topic><topic>Waste electrical and electronic equipment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nowakowski, Piotr</creatorcontrib><creatorcontrib>Szwarc, Krzysztof</creatorcontrib><creatorcontrib>Boryczka, Urszula</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nowakowski, Piotr</au><au>Szwarc, Krzysztof</au><au>Boryczka, Urszula</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combining an artificial intelligence algorithm and a novel vehicle for sustainable e-waste collection</atitle><jtitle>The Science of the total environment</jtitle><addtitle>Sci Total Environ</addtitle><date>2020-08-15</date><risdate>2020</risdate><volume>730</volume><spage>138726</spage><epage>138726</epage><pages>138726-138726</pages><artnum>138726</artnum><issn>0048-9697</issn><eissn>1879-1026</eissn><abstract>Mobile collection of waste electrical and electronic equipment is a collection method that is convenient for residents and companies. New opportunities to use mobile apps and internet applications facilitate the ordering of waste pickups from households and preparation of a collection plan for a waste collection company. It improves the secondary raw materials collection in a circular economy approach after recycling waste equipment.
This study presents a combined methodology for improving the efficiency of e-waste collection. An online e-waste collection supporting system uses a Harmony Search algorithm for route optimization of waste collection vehicles. The results of the optimization are better compared to other artificial intelligence algorithms presented in the literature and the number of visited collection points is higher from 1.2%–6.6% depending on the compared algorithm. To increase the efficiency of waste loading and packing, a novel collection vehicle body construction is presented. The design includes the convenient loading of waste from both sides of the vehicle and the rear side being equipped with a hydraulic lift. The proposed vehicle model can be used for e-waste collection in places with limited parking spaces or where the parking time is limited, such as in densely populated city centers. The waste equipment packing efficiency increases and eliminates the necessity of including a container loading problem in the algorithm and allows increasing waste equipment number loaded in a collection vehicle.
[Display omitted]
•Combined artificial intelligence supported collection and a novel vehicle body.•Harmony search algorithm for route optimization in on-demand e-waste collection•A novel construction of waste collection vehicle body with convenient loading•The efficiency of waste collection including routing and packing for the vehicles•Benefits for the environment and human health by the collection of hazardous waste</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>32388362</pmid><doi>10.1016/j.scitotenv.2020.138726</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | The Science of the total environment, 2020-08, Vol.730, p.138726-138726, Article 138726 |
| issn | 0048-9697 1879-1026 |
| language | eng |
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| source | Access via ScienceDirect (Elsevier) |
| subjects | Circular economy E-waste Harmony Search algorithm Mobile collection of e-waste Waste collection vehicle Waste electrical and electronic equipment |
| title | Combining an artificial intelligence algorithm and a novel vehicle for sustainable e-waste collection |
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