Quantity Prediction and Optimal Disposal Capacity of Waste Electric Appliances Based on Election Campaign Algorithm

Disused electric appliances have become new urban polluter because of the replacing of appliances households and corporates throw away. The accurate estimation of the future waste electric appliances production can help the government draw out best strategies to cope with the problem of the electron...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Applied Mechanics and Materials 2013-01, Vol.411-414, p.2395-2399
Hauptverfasser: Yang, Yong Jia, Zhang, Xiang Wei, Lin, Chun Tao, Lv, Wen Ge, Cheng, Si Yuan, Xie, Qing Hua
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2399
container_issue
container_start_page 2395
container_title Applied Mechanics and Materials
container_volume 411-414
creator Yang, Yong Jia
Zhang, Xiang Wei
Lin, Chun Tao
Lv, Wen Ge
Cheng, Si Yuan
Xie, Qing Hua
description Disused electric appliances have become new urban polluter because of the replacing of appliances households and corporates throw away. The accurate estimation of the future waste electric appliances production can help the government draw out best strategies to cope with the problem of the electronic products over-production and recycling. By using system dynamics method, the concept of product life span and increase limit, the washer waste volume in the future 20 years was predicted. By using scenario analysis, three waste output models most likely occur were simulated. In this case, we use election campaign algorithm to calculate the optimal time for adjusting the disposal capacity were investigated. This analysis can help to solve the impending problem of surplus electronic waste and provide a reference for the government to make policies.
doi_str_mv 10.4028/www.scientific.net/AMM.411-414.2395
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1441950162</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3099020081</sourcerecordid><originalsourceid>FETCH-LOGICAL-c346t-8546d29c5b0ae5ab75f61561b08823486224f926a52b35cf41e5fa098117c92d3</originalsourceid><addsrcrecordid>eNqVkF1LwzAUhoMfoJv-h4CX0prvppe1zg9wTEHxMmRpqpGurUnG8N-bOUFvvQgncN7zHM4DwDlGOUNEXmw2mzwYZ_voWmfy3saLaj7PGcYZwywntOR74BgLQbKCSbIPJhTRQnIpmDz4bqCspFQcgUkI7wiJNCWPQXhc64SMn_DB28aZ6IYe6r6BizG6le7glQvjENKn1qM22-DQwhcdooWzzpronYHVOHZO98YGeKmDbWBifDe3sFqvRu1ee1h1r4N38W11Ag5b3QV7-lOn4Pl69lTfZveLm7u6us8MZSJmkjPRkNLwJdKW62XBW4G5wEskJaFMCkJYWxKhOVlSblqGLW81KiXGhSlJQ6fgbMcd_fCxtiGq92Ht-7RSYcZwyREWJKXqXcr4IQRvWzX6dLn_VBiprXqV1Ktf9SqpV0m9SurTY2qrPlFmO0r0uk9yzNufZf_gfAHHIpVV</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1441950162</pqid></control><display><type>article</type><title>Quantity Prediction and Optimal Disposal Capacity of Waste Electric Appliances Based on Election Campaign Algorithm</title><source>Scientific.net Journals</source><creator>Yang, Yong Jia ; Zhang, Xiang Wei ; Lin, Chun Tao ; Lv, Wen Ge ; Cheng, Si Yuan ; Xie, Qing Hua</creator><creatorcontrib>Yang, Yong Jia ; Zhang, Xiang Wei ; Lin, Chun Tao ; Lv, Wen Ge ; Cheng, Si Yuan ; Xie, Qing Hua</creatorcontrib><description>Disused electric appliances have become new urban polluter because of the replacing of appliances households and corporates throw away. The accurate estimation of the future waste electric appliances production can help the government draw out best strategies to cope with the problem of the electronic products over-production and recycling. By using system dynamics method, the concept of product life span and increase limit, the washer waste volume in the future 20 years was predicted. By using scenario analysis, three waste output models most likely occur were simulated. In this case, we use election campaign algorithm to calculate the optimal time for adjusting the disposal capacity were investigated. This analysis can help to solve the impending problem of surplus electronic waste and provide a reference for the government to make policies.</description><identifier>ISSN: 1660-9336</identifier><identifier>ISSN: 1662-7482</identifier><identifier>ISBN: 3037858648</identifier><identifier>ISBN: 9783037858646</identifier><identifier>EISSN: 1662-7482</identifier><identifier>DOI: 10.4028/www.scientific.net/AMM.411-414.2395</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><ispartof>Applied Mechanics and Materials, 2013-01, Vol.411-414, p.2395-2399</ispartof><rights>2013 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Sep 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c346t-8546d29c5b0ae5ab75f61561b08823486224f926a52b35cf41e5fa098117c92d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/2700?width=600</thumbnail><link.rule.ids>315,781,785,27928,27929</link.rule.ids></links><search><creatorcontrib>Yang, Yong Jia</creatorcontrib><creatorcontrib>Zhang, Xiang Wei</creatorcontrib><creatorcontrib>Lin, Chun Tao</creatorcontrib><creatorcontrib>Lv, Wen Ge</creatorcontrib><creatorcontrib>Cheng, Si Yuan</creatorcontrib><creatorcontrib>Xie, Qing Hua</creatorcontrib><title>Quantity Prediction and Optimal Disposal Capacity of Waste Electric Appliances Based on Election Campaign Algorithm</title><title>Applied Mechanics and Materials</title><description>Disused electric appliances have become new urban polluter because of the replacing of appliances households and corporates throw away. The accurate estimation of the future waste electric appliances production can help the government draw out best strategies to cope with the problem of the electronic products over-production and recycling. By using system dynamics method, the concept of product life span and increase limit, the washer waste volume in the future 20 years was predicted. By using scenario analysis, three waste output models most likely occur were simulated. In this case, we use election campaign algorithm to calculate the optimal time for adjusting the disposal capacity were investigated. This analysis can help to solve the impending problem of surplus electronic waste and provide a reference for the government to make policies.</description><issn>1660-9336</issn><issn>1662-7482</issn><issn>1662-7482</issn><isbn>3037858648</isbn><isbn>9783037858646</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqVkF1LwzAUhoMfoJv-h4CX0prvppe1zg9wTEHxMmRpqpGurUnG8N-bOUFvvQgncN7zHM4DwDlGOUNEXmw2mzwYZ_voWmfy3saLaj7PGcYZwywntOR74BgLQbKCSbIPJhTRQnIpmDz4bqCspFQcgUkI7wiJNCWPQXhc64SMn_DB28aZ6IYe6r6BizG6le7glQvjENKn1qM22-DQwhcdooWzzpronYHVOHZO98YGeKmDbWBifDe3sFqvRu1ee1h1r4N38W11Ag5b3QV7-lOn4Pl69lTfZveLm7u6us8MZSJmkjPRkNLwJdKW62XBW4G5wEskJaFMCkJYWxKhOVlSblqGLW81KiXGhSlJQ6fgbMcd_fCxtiGq92Ht-7RSYcZwyREWJKXqXcr4IQRvWzX6dLn_VBiprXqV1Ktf9SqpV0m9SurTY2qrPlFmO0r0uk9yzNufZf_gfAHHIpVV</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Yang, Yong Jia</creator><creator>Zhang, Xiang Wei</creator><creator>Lin, Chun Tao</creator><creator>Lv, Wen Ge</creator><creator>Cheng, Si Yuan</creator><creator>Xie, Qing Hua</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20130101</creationdate><title>Quantity Prediction and Optimal Disposal Capacity of Waste Electric Appliances Based on Election Campaign Algorithm</title><author>Yang, Yong Jia ; Zhang, Xiang Wei ; Lin, Chun Tao ; Lv, Wen Ge ; Cheng, Si Yuan ; Xie, Qing Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-8546d29c5b0ae5ab75f61561b08823486224f926a52b35cf41e5fa098117c92d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Yong Jia</creatorcontrib><creatorcontrib>Zhang, Xiang Wei</creatorcontrib><creatorcontrib>Lin, Chun Tao</creatorcontrib><creatorcontrib>Lv, Wen Ge</creatorcontrib><creatorcontrib>Cheng, Si Yuan</creatorcontrib><creatorcontrib>Xie, Qing Hua</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Applied Mechanics and Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Yong Jia</au><au>Zhang, Xiang Wei</au><au>Lin, Chun Tao</au><au>Lv, Wen Ge</au><au>Cheng, Si Yuan</au><au>Xie, Qing Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantity Prediction and Optimal Disposal Capacity of Waste Electric Appliances Based on Election Campaign Algorithm</atitle><jtitle>Applied Mechanics and Materials</jtitle><date>2013-01-01</date><risdate>2013</risdate><volume>411-414</volume><spage>2395</spage><epage>2399</epage><pages>2395-2399</pages><issn>1660-9336</issn><issn>1662-7482</issn><eissn>1662-7482</eissn><isbn>3037858648</isbn><isbn>9783037858646</isbn><abstract>Disused electric appliances have become new urban polluter because of the replacing of appliances households and corporates throw away. The accurate estimation of the future waste electric appliances production can help the government draw out best strategies to cope with the problem of the electronic products over-production and recycling. By using system dynamics method, the concept of product life span and increase limit, the washer waste volume in the future 20 years was predicted. By using scenario analysis, three waste output models most likely occur were simulated. In this case, we use election campaign algorithm to calculate the optimal time for adjusting the disposal capacity were investigated. This analysis can help to solve the impending problem of surplus electronic waste and provide a reference for the government to make policies.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/AMM.411-414.2395</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1660-9336
ispartof Applied Mechanics and Materials, 2013-01, Vol.411-414, p.2395-2399
issn 1660-9336
1662-7482
1662-7482
language eng
recordid cdi_proquest_journals_1441950162
source Scientific.net Journals
title Quantity Prediction and Optimal Disposal Capacity of Waste Electric Appliances Based on Election Campaign Algorithm
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T15%3A31%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Quantity%20Prediction%20and%20Optimal%20Disposal%20Capacity%20of%20Waste%20Electric%20Appliances%20Based%20on%20Election%20Campaign%20Algorithm&rft.jtitle=Applied%20Mechanics%20and%20Materials&rft.au=Yang,%20Yong%20Jia&rft.date=2013-01-01&rft.volume=411-414&rft.spage=2395&rft.epage=2399&rft.pages=2395-2399&rft.issn=1660-9336&rft.eissn=1662-7482&rft.isbn=3037858648&rft.isbn_list=9783037858646&rft_id=info:doi/10.4028/www.scientific.net/AMM.411-414.2395&rft_dat=%3Cproquest_cross%3E3099020081%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1441950162&rft_id=info:pmid/&rfr_iscdi=true