{"id":"https://openalex.org/W4205164519","doi":"https://doi.org/10.1109/access.2022.3145157","title":"A Hybrid Algorithm for Location-Routing Sustainable Optimization Under Fuzzy Demand","display_name":"A Hybrid Algorithm for Location-Routing Sustainable Optimization Under Fuzzy Demand","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205164519","doi":"https://doi.org/10.1109/access.2022.3145157"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3145157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3145157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09687573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09687573.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100368099","display_name":"Na Li","orcid":"https://orcid.org/0000-0002-3241-9194"},"institutions":[{"id":"https://openalex.org/I168673124","display_name":"Tianjin Chengjian University","ror":"https://ror.org/01d0bkz51","country_code":"CN","type":"education","lineage":["https://openalex.org/I168673124"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Li","raw_affiliation_strings":["School of Economics and Management, Tianjin Chengjian University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3241-9194","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tianjin Chengjian University, Tianjin, China","institution_ids":["https://openalex.org/I168673124"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079587141","display_name":"Zhifeng Fan","orcid":"https://orcid.org/0000-0001-8730-870X"},"institutions":[{"id":"https://openalex.org/I168673124","display_name":"Tianjin Chengjian University","ror":"https://ror.org/01d0bkz51","country_code":"CN","type":"education","lineage":["https://openalex.org/I168673124"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Fan","raw_affiliation_strings":["School of Economics and Management, Tianjin Chengjian University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-8730-870X","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tianjin Chengjian University, Tianjin, China","institution_ids":["https://openalex.org/I168673124"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1355,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4869068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"12191","last_page":"12200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9990000128746033,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9990000128746033,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9977999925613403,"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/T11502","display_name":"Facility Location and Emergency Management","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.650819718837738},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6166198253631592},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5574860572814941},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.5406801700592041},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5344815254211426},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4989485740661621},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.4953967332839966},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.4478882849216461},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4324905276298523},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.42964717745780945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40969330072402954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1949630081653595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11198624968528748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650819718837738},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6166198253631592},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5574860572814941},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.5406801700592041},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5344815254211426},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4989485740661621},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.4953967332839966},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.4478882849216461},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4324905276298523},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.42964717745780945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40969330072402954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1949630081653595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11198624968528748},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3145157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3145157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09687573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6a93c8ce6ff040699067f7e50a416831","is_oa":true,"landing_page_url":"https://doaj.org/article/6a93c8ce6ff040699067f7e50a416831","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 12191-12200 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3145157","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3145157","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09687573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205164519.pdf","grobid_xml":"https://content.openalex.org/works/W4205164519.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1508875897","https://openalex.org/W1970931805","https://openalex.org/W1973880112","https://openalex.org/W1996268504","https://openalex.org/W2003244395","https://openalex.org/W2028721816","https://openalex.org/W2036950623","https://openalex.org/W2045479110","https://openalex.org/W2048314949","https://openalex.org/W2053677366","https://openalex.org/W2069223765","https://openalex.org/W2071965987","https://openalex.org/W2113562462","https://openalex.org/W2115242586","https://openalex.org/W2155335858","https://openalex.org/W2167428023","https://openalex.org/W2167942029","https://openalex.org/W2256425640","https://openalex.org/W2340290904","https://openalex.org/W2549721436","https://openalex.org/W2951453636","https://openalex.org/W2963638857","https://openalex.org/W2968374060","https://openalex.org/W3006718963","https://openalex.org/W3036220094","https://openalex.org/W3046636947","https://openalex.org/W3081643943","https://openalex.org/W3107052635","https://openalex.org/W3119827226","https://openalex.org/W3133681681","https://openalex.org/W3139896449","https://openalex.org/W3184973904","https://openalex.org/W3185416207"],"related_works":["https://openalex.org/W3159581029","https://openalex.org/W2324905915","https://openalex.org/W2919842722","https://openalex.org/W2064998473","https://openalex.org/W7224036","https://openalex.org/W2988337003","https://openalex.org/W2382386498","https://openalex.org/W2144570772","https://openalex.org/W2007401074","https://openalex.org/W1996693860"],"abstract_inverted_index":{"With":[0],"the":[1,4,8,19,23,72,78,136,149,159,169,175,179,185],"globalization":[2],"of":[3,10,22,40,91,138,163,171],"supply":[5,24,153],"chain":[6,25],"and":[7,43,46,63,75,95,117,146,165,178],"change":[9],"demand":[11],"environment,":[12],"designing":[13],"an":[14,37,57,111],"effective":[15],"logistic":[16],"system":[17],"in":[18,48,152,174],"sustainable":[20],"development":[21],"becomes":[26],"more":[27],"critical.":[28],"This":[29,51],"study":[30],"proposes":[31],"a":[32,82,88],"location-routing":[33,186],"problem":[34,52],"to":[35,70,109,123],"determine":[36,135],"efficient":[38],"integration":[39],"single":[41],"factory":[42],"multi-distribution":[44],"centers":[45],"multi-customers":[47],"uncertain":[49],"demands.":[50],"can":[53,182],"be":[54,144],"regarded":[55],"as":[56],"optimization":[58,180],"integrating":[59],"location,":[60],"distribution":[61],"decision,":[62],"routing":[64],"management.":[65],"The":[66,129,155],"objective":[67],"function":[68],"is":[69,81,100,107],"minimize":[71,148],"total":[73,150],"cost":[74,151],"satisfy":[76],"all":[77],"requirements,":[79],"which":[80],"highly":[83],"complex":[84],"NP-hard":[85],"problem,":[86],"so":[87],"hybrid":[89,161],"algorithm":[90,93,99,106,162,167],"genetic":[92],"(GA)":[94],"tabu":[96],"search":[97],"(TS)":[98],"proposed.":[101],"A":[102],"fuzzy":[103,126],"c-means":[104],"clustering":[105],"used":[108,122],"produce":[110],"initial":[112],"solution.":[113],"Fuzzy":[114],"triangular":[115],"number":[116],"confidence":[118],"interval":[119],"transformation":[120],"are":[121],"deal":[124],"with":[125,140],"customer":[127],"demand.":[128],"research":[130],"findings":[131],"concludes":[132],"that":[133,142,158],"(i)":[134],"numbers":[137],"facilities":[139],"locations":[141],"should":[143],"opened":[145],"(ii)":[147],"chain.":[154],"experiments":[156],"prove":[157],"proposed":[160],"GA":[164],"TS":[166],"overcomes":[168],"defect":[170],"local":[172],"optimum":[173],"literature":[176],"viewpoint,":[177],"algorithms":[181],"effectively":[183],"solve":[184],"problem.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
