{"id":"https://openalex.org/W2589064531","doi":"https://doi.org/10.1109/liss.2016.7854371","title":"Modeling of multi-train seat inventory control based on revenue management","display_name":"Modeling of multi-train seat inventory control based on revenue management","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2589064531","doi":"https://doi.org/10.1109/liss.2016.7854371","mag":"2589064531"},"language":"en","primary_location":{"id":"doi:10.1109/liss.2016.7854371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/liss.2016.7854371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Logistics, Informatics and Service Sciences (LISS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113180180","display_name":"Hao Luo","orcid":"https://orcid.org/0000-0003-2239-3928"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Luo","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727250","display_name":"Lei Nie","orcid":"https://orcid.org/0000-0003-4634-4311"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Nie","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007576722","display_name":"Zhenhuan He","orcid":"https://orcid.org/0000-0002-1622-4338"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhuan He","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T10328","display_name":"Supply Chain and Inventory Management","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9786999821662903,"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":0.9498999714851379,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/revenue-management","display_name":"Revenue management","score":0.634647011756897},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5660278797149658},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5466358065605164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5378028750419617},{"id":"https://openalex.org/keywords/inventory-control","display_name":"Inventory control","score":0.534209132194519},{"id":"https://openalex.org/keywords/inventory-management","display_name":"Inventory management","score":0.48574334383010864},{"id":"https://openalex.org/keywords/yield-management","display_name":"Yield management","score":0.48476308584213257},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.33549562096595764},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3123345971107483},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.23115459084510803},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20858609676361084},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.20648479461669922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13341069221496582},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08111292123794556}],"concepts":[{"id":"https://openalex.org/C2781386248","wikidata":"https://www.wikidata.org/wiki/Q11898700","display_name":"Revenue management","level":3,"score":0.634647011756897},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5660278797149658},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5466358065605164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378028750419617},{"id":"https://openalex.org/C117938511","wikidata":"https://www.wikidata.org/wiki/Q3634830","display_name":"Inventory control","level":2,"score":0.534209132194519},{"id":"https://openalex.org/C3018434026","wikidata":"https://www.wikidata.org/wiki/Q3761396","display_name":"Inventory management","level":2,"score":0.48574334383010864},{"id":"https://openalex.org/C142038384","wikidata":"https://www.wikidata.org/wiki/Q1362536","display_name":"Yield management","level":4,"score":0.48476308584213257},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.33549562096595764},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3123345971107483},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.23115459084510803},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20858609676361084},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.20648479461669922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13341069221496582},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08111292123794556}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/liss.2016.7854371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/liss.2016.7854371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Logistics, Informatics and Service Sciences (LISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W118989502","https://openalex.org/W1499587765","https://openalex.org/W1986735445","https://openalex.org/W2003402397","https://openalex.org/W2040298171","https://openalex.org/W2046102920","https://openalex.org/W2073815027","https://openalex.org/W2105357276","https://openalex.org/W2148032167","https://openalex.org/W2316131102","https://openalex.org/W2370544232","https://openalex.org/W2392513258","https://openalex.org/W6604939771"],"related_works":["https://openalex.org/W2044228410","https://openalex.org/W1993868599","https://openalex.org/W2043772913","https://openalex.org/W1963479726","https://openalex.org/W2091484917","https://openalex.org/W2808755562","https://openalex.org/W2360530351","https://openalex.org/W2048050128","https://openalex.org/W2027534214","https://openalex.org/W1997675000"],"abstract_inverted_index":{"As":[0],"ticket":[1,129,133],"income":[2],"is":[3,105],"the":[4,24,40,60,71,80,90,109,115,152,157],"main":[5],"part":[6],"of":[7,62,93,111,144],"railway":[8,112],"passenger":[9,162],"transportation":[10],"revenue,":[11],"rail":[12],"companies":[13],"have":[14],"to":[15,22,64,69,88,131],"deal":[16],"with":[17,79],"seat":[18,33,72],"inventory":[19,34,54,73],"control":[20,35,70],"problem":[21],"maximize":[23,89],"overall":[25,91,158],"expected":[26],"revenues.":[27],"This":[28,49],"paper":[29],"develops":[30],"a":[31,56,94,101,139],"multi-train":[32],"model":[36,50,84,116,154],"(MSIC)":[37],"based":[38],"on":[39,138,164],"Revenue":[41],"Management":[42],"(also":[43],"known":[44],"as":[45,55],"Yield":[46],"Management)":[47],"theory.":[48],"introduces":[51],"Origin-Destination":[52],"(OD)":[53],"constraint":[57],"by":[58,160],"assigning":[59],"number":[61],"seats":[63],"each":[65],"train":[66,96,141],"and":[67,121,127],"OD":[68],"capacity":[74],"among":[75],"different":[76,165],"trains.":[77,166],"Comparing":[78],"existing":[81],"models,":[82],"this":[83],"makes":[85],"it":[86],"possible":[87],"revenue":[92,159],"whole":[95],"line":[97,142],"plan":[98,143],"rather":[99],"than":[100],"single":[102],"train,":[103],"which":[104],"more":[106],"suitable":[107],"for":[108,123],"practice":[110],"operation.":[113],"Meanwhile,":[114],"can":[117,155],"also":[118],"provide":[119],"theory":[120],"tool":[122],"marketing":[124],"staff":[125],"monitoring":[126],"adjusting":[128],"allocation":[130],"improve":[132],"sales.":[134],"A":[135],"case":[136],"study":[137],"partial":[140],"Beijing-Guangzhou":[145],"High":[146],"Speed":[147],"Railway":[148],"(HSR)":[149],"proves":[150],"that":[151],"MSIC":[153],"increase":[156],"optimizing":[161],"distribution":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
