{"id":"https://openalex.org/W4283214580","doi":"https://doi.org/10.1108/imds-01-2022-0015","title":"A multi-cycle and multi-echelon location-routing problem for integrated reverse logistics","display_name":"A multi-cycle and multi-echelon location-routing problem for integrated reverse logistics","publication_year":2022,"publication_date":"2022-06-20","ids":{"openalex":"https://openalex.org/W4283214580","doi":"https://doi.org/10.1108/imds-01-2022-0015"},"language":"en","primary_location":{"id":"doi:10.1108/imds-01-2022-0015","is_oa":false,"landing_page_url":"https://doi.org/10.1108/imds-01-2022-0015","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management &amp; Data Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046273440","display_name":"Xiaofeng Xu","orcid":"https://orcid.org/0000-0001-5619-2126"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofeng Xu","raw_affiliation_strings":["School of Economics and Management, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-5619-2126","affiliations":[{"raw_affiliation_string":"School of Economics and Management, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062273457","display_name":"Wenzhi Liu","orcid":"https://orcid.org/0000-0003-4843-6447"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhi Liu","raw_affiliation_strings":["School of Economics and Management, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4843-6447","affiliations":[{"raw_affiliation_string":"School of Economics and Management, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055968717","display_name":"Mingyue Jiang","orcid":"https://orcid.org/0000-0002-0962-6128"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingyue Jiang","raw_affiliation_strings":["Shandong Provincial Science and Technology Department, Innovation Development Institute, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-0962-6128","affiliations":[{"raw_affiliation_string":"Shandong Provincial Science and Technology Department, Innovation Development Institute, Jinan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032761054","display_name":"Ziru Lin","orcid":"https://orcid.org/0000-0002-1535-5299"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziru Lin","raw_affiliation_strings":["School of Economics and Management, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-1535-5299","affiliations":[{"raw_affiliation_string":"School of Economics and Management, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046273440"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":3.6011,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92808693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"122","issue":"10","first_page":"2237","last_page":"2260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and 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"}},"topics":[{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and 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"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9973000288009644,"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":0.996999979019165,"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/reverse-logistics","display_name":"Reverse logistics","score":0.7952979803085327},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6204870939254761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5590932965278625},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5252323150634766},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5134042501449585},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.49446988105773926},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4390801787376404},{"id":"https://openalex.org/keywords/integrated-logistics-support","display_name":"Integrated logistics support","score":0.41851380467414856},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37176185846328735},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.3273003101348877},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2426471710205078},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20032063126564026},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.11412271857261658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0967416763305664},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.09213364124298096},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08970984816551208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08437883853912354}],"concepts":[{"id":"https://openalex.org/C2777382958","wikidata":"https://www.wikidata.org/wiki/Q1345498","display_name":"Reverse logistics","level":3,"score":0.7952979803085327},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6204870939254761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5590932965278625},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5252323150634766},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5134042501449585},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.49446988105773926},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4390801787376404},{"id":"https://openalex.org/C45296417","wikidata":"https://www.wikidata.org/wiki/Q1063793","display_name":"Integrated logistics support","level":2,"score":0.41851380467414856},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37176185846328735},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.3273003101348877},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2426471710205078},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20032063126564026},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.11412271857261658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0967416763305664},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.09213364124298096},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08970984816551208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08437883853912354},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/imds-01-2022-0015","is_oa":false,"landing_page_url":"https://doi.org/10.1108/imds-01-2022-0015","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management &amp; Data Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W649832874","https://openalex.org/W1881614784","https://openalex.org/W2000318055","https://openalex.org/W2019774836","https://openalex.org/W2074048915","https://openalex.org/W2311599690","https://openalex.org/W2370960097","https://openalex.org/W2388741311","https://openalex.org/W2506289040","https://openalex.org/W2517766352","https://openalex.org/W2616657755","https://openalex.org/W2789344326","https://openalex.org/W2791456531","https://openalex.org/W2801585709","https://openalex.org/W2896017857","https://openalex.org/W2896660248","https://openalex.org/W2904728861","https://openalex.org/W2908914176","https://openalex.org/W2929390339","https://openalex.org/W2951063700","https://openalex.org/W3009311085","https://openalex.org/W3012701534","https://openalex.org/W3082167939","https://openalex.org/W3088970379","https://openalex.org/W3133338082","https://openalex.org/W3148816453","https://openalex.org/W3209267292","https://openalex.org/W3214928066","https://openalex.org/W4247108592","https://openalex.org/W4385304721"],"related_works":["https://openalex.org/W2543758842","https://openalex.org/W2994220932","https://openalex.org/W4379984321","https://openalex.org/W2379307059","https://openalex.org/W1987351231","https://openalex.org/W2380898791","https://openalex.org/W2126939445","https://openalex.org/W2080083345","https://openalex.org/W65797845","https://openalex.org/W3095143121"],"abstract_inverted_index":{"Purpose":[0],"The":[1,37],"rapid":[2],"development":[3,198],"of":[4,14,27,39,52,67,124,140,207,228,245,251],"smart":[5],"cities":[6],"and":[7,19,54,62,84,89,127,159,210,243],"green":[8],"logistics":[9,59,154,260],"has":[10],"stimulated":[11],"a":[12,73,87,118,137,204],"lot":[13],"research":[15,29,202,217],"on":[16,30,81],"reverse":[17,35,58,94],"logistics,":[18],"the":[20,25,50,65,113,121,125,128,144,161,192,220,226,234,240,246,249,252],"diversified":[21],"data":[22,46,83,212],"also":[23],"provide":[24,254],"possibility":[26],"innovative":[28],"location-routing":[31,91,180],"problem":[32,209],"(LRP)":[33],"under":[34],"logistics.":[36,95],"purpose":[38],"this":[40],"paper":[41],"is":[42,78,109,117,203],"to":[43,47,111,142,156,196,232],"use":[44],"panel":[45,82],"assist":[48],"in":[49,57,230],"study":[51,174,206,253],"multi-cycle":[53,88],"multi-echelon":[55,90],"LRP":[56],"network":[60],"(MCME-LRP-RLN),":[61],"thus":[63],"reduce":[64,143,157,164],"cost":[66,123],"enterprise":[68,126],"facility":[69],"location.":[70],"Design/methodology/approach":[71],"First,":[72],"negative":[74,129,145,165],"utility":[75,167],"objective":[76],"function":[77],"generated":[79],"based":[80],"incorporated":[85,224],"into":[86,185,215,225],"model":[92],"integrating":[93],"After":[96],"that,":[97],"an":[98,152],"improved":[99,239],"algorithm":[100,107,222],"named":[101],"particle":[102],"swarm":[103],"optimization-multi-objective":[104],"immune":[105],"genetic":[106],"(PSO-MOIGA)":[108],"proposed":[110],"solve":[112,233],"model.":[114],"Findings":[115],"There":[116],"paradox":[119],"between":[120],"total":[122],"social":[130,146,166],"utility,":[131],"which":[132,238],"means":[133],"that":[134],"it":[135],"costs":[136],"certain":[138],"amount":[139],"money":[141],"utility.":[147],"Firms":[148],"can":[149,190],"first":[150],"design":[151],"open-loop":[153],"system":[155],"cost,":[158],"at":[160],"same":[162],"time,":[163],"by":[168,182],"leasing":[169],"facilities.":[170],"Practical":[171],"implications":[172],"This":[173,201],"provides":[175],"firms":[176],"with":[177],"more":[178],"flexible":[179],"options":[181],"dividing":[183],"them":[184],"multiple":[186],"cycles,":[187],"so":[188],"they":[189],"choose":[191],"right":[193],"option":[194],"according":[195],"their":[197],"goals.":[199],"Originality/value":[200],"pioneering":[205],"MCME-LRP-RLN":[208],"incorporates":[211],"analysis":[213],"techniques":[214],"operations":[216],"modeling.":[218],"Later,":[219],"PSO":[221],"was":[223],"crossover":[227],"MOIGA":[229],"order":[231],"multi-objective":[235],"large-scale":[236],"problems,":[237],"convergence":[241],"speed":[242],"performance":[244],"algorithm.":[247],"Finally,":[248],"results":[250],"some":[255],"valuable":[256],"management":[257],"recommendations":[258],"for":[259],"planning.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
