{"id":"https://openalex.org/W4388130382","doi":"https://doi.org/10.3233/faia230771","title":"Prediction of Chargeable Weight in Global Distribution Network Optimization","display_name":"Prediction of Chargeable Weight in Global Distribution Network Optimization","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4388130382","doi":"https://doi.org/10.3233/faia230771"},"language":"en","primary_location":{"id":"doi:10.3233/faia230771","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230771","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230771","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230771","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005354896","display_name":"Lei Xu","orcid":"https://orcid.org/0000-0002-2763-1318"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Xu","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Southwest Jiaotong University, 999 Xian Road, Pixian District, Chengdu City, Sichuan Province, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Southwest Jiaotong University, 999 Xian Road, Pixian District, Chengdu City, Sichuan Province, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114095538","display_name":"Xuejiang Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuejiang Song","raw_affiliation_strings":["Chengdu Tanma Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Chengdu Tanma Technology Co., Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100914613","display_name":"Lan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Zhao","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Southwest Jiaotong University, 999 Xian Road, Pixian District, Chengdu City, Sichuan Province, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Southwest Jiaotong University, 999 Xian Road, Pixian District, Chengdu City, Sichuan Province, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102741528","display_name":"Andrew Lim","orcid":"https://orcid.org/0000-0003-0510-8080"},"institutions":[{"id":"https://openalex.org/I4210146998","display_name":"MOH Holdings","ror":"https://ror.org/052jm1735","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210146998"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Andrew Lim","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Southwest Jiaotong University, 999 Xian Road, Pixian District, Chengdu City, Sichuan Province, China","Red Jasper Holdings Pte. Ltd. Singapore","Department of Computer Science and Artificial Intelligence, Southwest Jiaotong University, 999 Xian Road, Pixian District, Chengdu City, Sichuan Province, China; Red Jasper Holdings Pte. Ltd. Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Southwest Jiaotong University, 999 Xian Road, Pixian District, Chengdu City, Sichuan Province, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Red Jasper Holdings Pte. Ltd. Singapore","institution_ids":["https://openalex.org/I4210146998"]},{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Southwest Jiaotong University, 999 Xian Road, Pixian District, Chengdu City, Sichuan Province, China; Red Jasper Holdings Pte. Ltd. Singapore","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005354896"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47080645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9840999841690063,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9840999841690063,"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/T12971","display_name":"Material Properties and Processing","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9747999906539917,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6319876313209534},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6153729557991028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5877975225448608},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4637603759765625},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4233448803424835},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4199276268482208},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3599235713481903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25609368085861206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17649492621421814},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12162631750106812},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07958924770355225}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6319876313209534},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6153729557991028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877975225448608},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4637603759765625},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4233448803424835},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4199276268482208},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3599235713481903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25609368085861206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17649492621421814},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12162631750106812},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07958924770355225},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230771","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230771","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230771","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230771","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230771","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230771","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388130382.pdf","grobid_xml":"https://content.openalex.org/works/W4388130382.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W309919053","https://openalex.org/W1970366397","https://openalex.org/W1971647084","https://openalex.org/W1986685337","https://openalex.org/W2004466487","https://openalex.org/W2006365317","https://openalex.org/W2018638861","https://openalex.org/W2044803425","https://openalex.org/W2062191375","https://openalex.org/W2105175235","https://openalex.org/W2131667618","https://openalex.org/W2142601458","https://openalex.org/W2155386930","https://openalex.org/W2155655232","https://openalex.org/W2158804684","https://openalex.org/W2242615331","https://openalex.org/W2598680712","https://openalex.org/W2748734647","https://openalex.org/W2969789248","https://openalex.org/W3006124638","https://openalex.org/W3113167678","https://openalex.org/W3206518727","https://openalex.org/W4226209484","https://openalex.org/W4233252652","https://openalex.org/W4239179583","https://openalex.org/W4248841288","https://openalex.org/W4250535541","https://openalex.org/W4307726936","https://openalex.org/W4383905718"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2065514426"],"abstract_inverted_index":{"The":[0,129],"aim":[1],"of":[2,12,44,63,79,88,106,109,123,145,158,179,187,194,213,294],"global":[3],"distribution":[4,118],"network":[5,125,204],"optimization":[6,28,57],"is":[7,36,50,164,184,206],"to":[8,18,30,114,150,166,171,208,234,252,282],"optimize":[9],"the":[10,32,40,59,77,85,97,104,142,156,176,180,185,191,195,210,230,237,254,284,295,302],"flow":[11],"goods":[13],"between":[14],"logistics":[15,86,130,143],"nodes,":[16],"leading":[17],"more":[19],"efficient":[20],"and":[21,42,112,138,173,190,223,247,266],"compact":[22],"packing.":[23,198],"As":[24,271],"a":[25,71,92,121,168,202,312,320],"result,":[26],"this":[27,56,200,261],"helps":[29],"reduce":[31,236],"shipping":[33],"cost,":[34],"which":[35],"calculated":[37,51],"based":[38],"on":[39,288],"weight":[41,178,183,189,193,212,256],"volume":[43],"package":[45],"after":[46,197],"cartonization.":[47],"Shipping":[48],"cost":[49,87,131,144],"from":[52],"chargeable":[53,177,211,255,285],"weight.":[54,286],"In":[55,199],"problem,":[58],"routing":[60],"or":[61,65],"rerouting":[62],"products":[64],"raw":[66],"materials":[67,111],"would":[68,127],"result":[69],"in":[70,139,160,268,301,315],"new":[72],"shipment":[73,81,124,148],"network.":[74],"To":[75],"compare":[76],"performance":[78],"various":[80],"networks,":[82],"we":[83,242,276],"use":[84],"all":[89,146],"shipments":[90,159,259],"within":[91],"past":[93],"time":[94],"window":[95],"as":[96,153,220,229,260],"evaluation":[98],"criteria.":[99],"Hence,":[100],"when":[101],"dealing":[102],"with":[103],"routing/rerouting":[105,134],"numerous":[107,116],"types":[108],"products/raw":[110],"having":[113],"consider":[115],"central":[117],"centers":[119],"(CDC),":[120],"multitude":[122],"configurations":[126],"arise.":[128],"for":[132,257,272,304],"each":[133,161],"affects":[135],"other":[136,147],"networks":[137,149],"turn,":[140],"requires":[141],"be":[151],"recomputed":[152],"well.":[154],"Given":[155],"enormity":[157],"network,":[162],"it":[163],"infeasible":[165],"employ":[167],"cartonization":[169,250],"solver":[170,251],"pack":[172],"then":[174],"compute":[175],"shipments.":[181,214],"Chargeable":[182],"greater":[186],"actual":[188],"volumetric":[192],"carton":[196],"paper,":[201],"neural":[203],"model":[205],"applied":[207],"predict":[209],"Conventional":[215],"machine":[216,279],"learning":[217,280],"models,":[218],"such":[219],"random":[221],"forest":[222],"support":[224],"vector":[225],"regression":[226],"are":[227],"used":[228],"benchmark":[231],"models.":[232],"Moreover,":[233],"further":[235],"overall":[238],"mean":[239,322],"error":[240],"ratio,":[241],"propose":[243,277],"using":[244,278],"exact":[245],"algorithm":[246],"Red":[248],"Jasper\u2019s":[249],"calculate":[253],"small":[258],"combined":[262],"method":[263,281,310],"runs":[264],"fast":[265],"results":[267,306],"minimal":[269],"error.":[270,323],"large":[273],"complex":[274],"shipments,":[275],"approximate":[283],"Based":[287],"real":[289],"data":[290],"provided":[291],"by":[292],"one":[293],"top":[296],"five":[297],"semiconductor":[298],"equipment":[299],"makers":[300],"world":[303],"experimentation,":[305],"suggest":[307],"that":[308],"our":[309],"achieves":[311],"significant":[313],"improvement":[314],"computational":[316],"speed":[317],"while":[318],"maintaining":[319],"low":[321]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
