{"id":"https://openalex.org/W3208433707","doi":"https://doi.org/10.1080/08839514.2021.1992138","title":"The Vehicle Routing Problem with Fuzzy Payloads considering Fuel Consumption","display_name":"The Vehicle Routing Problem with Fuzzy Payloads considering Fuel Consumption","publication_year":2021,"publication_date":"2021-10-21","ids":{"openalex":"https://openalex.org/W3208433707","doi":"https://doi.org/10.1080/08839514.2021.1992138","mag":"3208433707"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2021.1992138","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2021.1992138","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1992138?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1992138?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087796967","display_name":"Paraskevi Th. Zacharia","orcid":"https://orcid.org/0000-0003-4600-021X"},"institutions":[{"id":"https://openalex.org/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Paraskevi Zacharia","raw_affiliation_strings":["Dept. of Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece","institution_ids":["https://openalex.org/I4210094138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056101356","display_name":"Christos Drosos","orcid":"https://orcid.org/0000-0001-8068-8885"},"institutions":[{"id":"https://openalex.org/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Drosos","raw_affiliation_strings":["Dept. of Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece","institution_ids":["https://openalex.org/I4210094138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042045095","display_name":"Dimitrios Piromalis","orcid":"https://orcid.org/0000-0002-2711-1400"},"institutions":[{"id":"https://openalex.org/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Piromalis","raw_affiliation_strings":["Dept. of Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece","institution_ids":["https://openalex.org/I4210094138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050435127","display_name":"Michail Papoutsidakis","orcid":"https://orcid.org/0000-0001-8338-7690"},"institutions":[{"id":"https://openalex.org/I4210094138","display_name":"University of West Attica","ror":"https://ror.org/00r2r5k05","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210094138"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Michail Papoutsidakis","raw_affiliation_strings":["Dept. of Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Design and Production Engineering, University of West Attica, Egaleo, Greece","institution_ids":["https://openalex.org/I4210094138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087796967"],"corresponding_institution_ids":["https://openalex.org/I4210094138"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.7538,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77181608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"15","first_page":"1755","last_page":"1776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.8231210708618164},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.7684516310691833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7478686571121216},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.7140960097312927},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.6191006898880005},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5887990593910217},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5768786072731018},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.546665370464325},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5408620834350586},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.45102307200431824},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4045276641845703},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.34277239441871643},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14624804258346558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1047700047492981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09892630577087402},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09416726231575012}],"concepts":[{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.8231210708618164},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.7684516310691833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7478686571121216},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7140960097312927},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.6191006898880005},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5887990593910217},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5768786072731018},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.546665370464325},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5408620834350586},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.45102307200431824},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4045276641845703},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.34277239441871643},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14624804258346558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1047700047492981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09892630577087402},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09416726231575012},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2021.1992138","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2021.1992138","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1992138?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:331649f6e9d04094848b79222d128fab","is_oa":true,"landing_page_url":"https://doaj.org/article/331649f6e9d04094848b79222d128fab","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 35, Iss 15, Pp 1755-1776 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2021.1992138","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2021.1992138","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1992138?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208433707.pdf","grobid_xml":"https://content.openalex.org/works/W3208433707.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W45564467","https://openalex.org/W100400865","https://openalex.org/W1512117524","https://openalex.org/W1862661734","https://openalex.org/W1985971056","https://openalex.org/W2012259663","https://openalex.org/W2015437840","https://openalex.org/W2025612074","https://openalex.org/W2029392610","https://openalex.org/W2043459322","https://openalex.org/W2046996444","https://openalex.org/W2052338628","https://openalex.org/W2086390519","https://openalex.org/W2090915089","https://openalex.org/W2099770007","https://openalex.org/W2111563176","https://openalex.org/W2142183404","https://openalex.org/W2547671150","https://openalex.org/W2623813192","https://openalex.org/W2793141720","https://openalex.org/W2895954417","https://openalex.org/W2898596225","https://openalex.org/W2899155604","https://openalex.org/W2900384132","https://openalex.org/W2914011715","https://openalex.org/W2925063426","https://openalex.org/W2955472062","https://openalex.org/W2965401653","https://openalex.org/W2969872000","https://openalex.org/W2993727830","https://openalex.org/W3006966195","https://openalex.org/W3010792765","https://openalex.org/W3023540311","https://openalex.org/W3032760736","https://openalex.org/W3039496789","https://openalex.org/W3044119562","https://openalex.org/W3064555957","https://openalex.org/W3151157462","https://openalex.org/W3183129711","https://openalex.org/W4211007335","https://openalex.org/W4254329280","https://openalex.org/W4301173492"],"related_works":["https://openalex.org/W2044511645","https://openalex.org/W2157623912","https://openalex.org/W2966843068","https://openalex.org/W2571901638","https://openalex.org/W2516418128","https://openalex.org/W4200423625","https://openalex.org/W3168115897","https://openalex.org/W2021708378","https://openalex.org/W2292509389","https://openalex.org/W2998308894"],"abstract_inverted_index":{"This":[0,81],"paper":[1],"considers":[2,91],"the":[3,12,18,22,85,92,97,103,120,126,134],"Vehicle":[4],"Routing":[5],"Problem":[6],"(VRP)":[7],"with":[8,11,26,39,61,79],"fuzzy":[9,27,62],"payloads":[10,28],"aim":[13],"to":[14,52,95],"minimize":[15],"two":[16],"criteria:":[17],"travel":[19],"distance":[20],"and":[21,50,108,130],"fuel":[23,93],"consumption.":[24,99],"VRP":[25],"is":[29,74,77,106],"an":[30,65],"NP-hard":[31],"problem,":[32],"in":[33,136,141],"which":[34],"a":[35,44,54,70,111],"fleet":[36],"of":[37,48,56,102,113,122],"vehicles":[38],"finite":[40],"capacity":[41],"leaves":[42],"from":[43,84],"central":[45],"depot":[46],"empty":[47],"goods":[49],"has":[51],"serve":[53],"set":[55,112],"geographically":[57],"dispersed":[58],"customers":[59],"associated":[60],"payloads.":[63],"Thus,":[64],"optimization":[66],"approach":[67],"based":[68],"on":[69,125],"bi-objective":[71],"Genetic":[72],"Algorithm":[73],"developed":[75,104],"that":[76,132],"integrated":[78],"fuzziness.":[80],"problem":[82],"differentiates":[83],"classic":[86],"VRP,":[87],"since":[88],"it":[89],"also":[90],"consumption":[94],"reduce":[96],"energy":[98],"The":[100,116],"efficiency":[101],"method":[105],"investigated":[107],"discussed":[109],"through":[110],"test":[114],"instances.":[115],"experimental":[117],"results":[118,140],"highlight":[119],"impact":[121],"both":[123],"criteria":[124],"resulted":[127],"optimum":[128],"solution":[129],"prove":[131],"increasing":[133],"uncertainty":[135],"customers\u2019":[137],"collection":[138],"quantities":[139],"more":[142],"costly":[143],"solutions.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
