{"id":"https://openalex.org/W4239330763","doi":"https://doi.org/10.1109/wsc.2017.8248054","title":"Integrated optimization and simulation models for the locomotive refueling system configuration problem","display_name":"Integrated optimization and simulation models for the locomotive refueling system configuration problem","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W4239330763","doi":"https://doi.org/10.1109/wsc.2017.8248054"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2017.8248054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8248054","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","raw_type":"proceedings-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/A5001045912","display_name":"Lucas Verschelden","orcid":null},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lucas Verschelden","raw_affiliation_strings":["Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068138255","display_name":"Jessica L. Heier Stamm","orcid":"https://orcid.org/0000-0002-5310-3543"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica L. Heier Stamm","raw_affiliation_strings":["Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS, US"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS, US","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051140876","display_name":"Todd Easton","orcid":"https://orcid.org/0000-0001-9278-0259"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd Easton","raw_affiliation_strings":["Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001045912"],"corresponding_institution_ids":["https://openalex.org/I189590672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43921139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3382","last_page":"3393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9983999729156494,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9983999729156494,"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/T13601","display_name":"Urban Transport Systems Analysis","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14353","display_name":"Wireless Sensor Networks for Data Analysis","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5604645609855652},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4505218267440796},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.32127779722213745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.31632184982299805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5604645609855652},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4505218267440796},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.32127779722213745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31632184982299805}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2017.8248054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8248054","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1975635208","https://openalex.org/W1978710427","https://openalex.org/W1993663269","https://openalex.org/W2011348726","https://openalex.org/W2031545009","https://openalex.org/W2039121949","https://openalex.org/W2059266271","https://openalex.org/W2070652514","https://openalex.org/W2094959357","https://openalex.org/W2097899745","https://openalex.org/W2120070400","https://openalex.org/W2120298993","https://openalex.org/W2140764876","https://openalex.org/W2159465237","https://openalex.org/W2166194239","https://openalex.org/W3140793762","https://openalex.org/W3145918395","https://openalex.org/W3151439334","https://openalex.org/W3152084975","https://openalex.org/W4232120137","https://openalex.org/W4237186906"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2358190750"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"the":[3,43,71,79,82,86,93,98,107],"locomotive":[4],"refueling":[5,19,36,94,101,115],"system":[6],"configuration":[7],"problem,":[8],"which":[9],"arises":[10],"when":[11],"railroad":[12,32],"companies":[13],"aim":[14],"to":[15,30,64,89],"improve":[16],"efficiency":[17],"in":[18,111],"yards":[20],"through":[21],"new":[22,48,114],"technologies":[23],"or":[24,50],"policies.":[25,128],"Refueling":[26],"speed":[27],"is":[28],"important":[29],"freight":[31],"operational":[33],"efficiency;":[34],"faster":[35],"can":[37],"increase":[38],"rail":[39],"network":[40],"capacity":[41],"without":[42],"infrastructure":[44],"cost":[45],"associated":[46,104],"with":[47,105,113],"terminals":[49],"tracks.":[51],"We":[52],"propose":[53],"a":[54,122],"method":[55,72],"that":[56],"integrates":[57],"integer":[58],"programming":[59],"and":[60,68,96],"discrete":[61],"event":[62],"simulation":[63],"inform":[65],"these":[66],"decisions,":[67],"we":[69],"demonstrate":[70,121],"on":[73,100],"data":[74],"derived":[75],"from":[76],"industry.":[77],"Specifically,":[78],"models":[80],"determine":[81],"best":[83],"location":[84],"(denoted":[85],"\u201cstrike":[87],"line\u201d)":[88],"align":[90],"trains":[91],"at":[92],"platform":[95],"measure":[97],"impact":[99],"yard":[102],"throughput":[103],"adopting":[106],"optimal":[108],"strike":[109],"lines":[110],"combination":[112],"equipment.":[116],"Results":[117],"using":[118],"realistic":[119],"parameters":[120],"statistically":[123],"significant":[124],"improvement":[125],"over":[126],"intuitive":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}