{"id":"https://openalex.org/W2800263833","doi":"https://doi.org/10.1080/01605682.2019.1678403","title":"The traveling salesman problem with time windows in postal services","display_name":"The traveling salesman problem with time windows in postal services","publication_year":2020,"publication_date":"2020-01-25","ids":{"openalex":"https://openalex.org/W2800263833","doi":"https://doi.org/10.1080/01605682.2019.1678403","mag":"2800263833"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2019.1678403","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2019.1678403","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5015499689","display_name":"Alexis Bretin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133247","display_name":"Group for Research in Decision Analysis","ror":"https://ror.org/02pkvpx84","country_code":"CA","type":"facility","lineage":["https://openalex.org/I108192572","https://openalex.org/I159129438","https://openalex.org/I4210133247","https://openalex.org/I45683168","https://openalex.org/I49663120","https://openalex.org/I5023651"]},{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Alexis Bretin","raw_affiliation_strings":["CIRRELT, Montr\u00e9al, Canada;","GERAD, Montr\u00e9al, Canada","\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al, Canada;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIRRELT, Montr\u00e9al, Canada;","institution_ids":[]},{"raw_affiliation_string":"GERAD, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210133247"]},{"raw_affiliation_string":"\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al, Canada;","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020707737","display_name":"Guy Desaulniers","orcid":"https://orcid.org/0000-0003-4469-9813"},"institutions":[{"id":"https://openalex.org/I4210133247","display_name":"Group for Research in Decision Analysis","ror":"https://ror.org/02pkvpx84","country_code":"CA","type":"facility","lineage":["https://openalex.org/I108192572","https://openalex.org/I159129438","https://openalex.org/I4210133247","https://openalex.org/I45683168","https://openalex.org/I49663120","https://openalex.org/I5023651"]},{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guy Desaulniers","raw_affiliation_strings":["GERAD, Montr\u00e9al, Canada","\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al, Canada;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GERAD, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210133247"]},{"raw_affiliation_string":"\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al, Canada;","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039209533","display_name":"Louis-Martin Rousseau","orcid":"https://orcid.org/0000-0001-6949-6014"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Louis-Martin Rousseau","raw_affiliation_strings":["CIRRELT, Montr\u00e9al, Canada;","\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al, Canada;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIRRELT, Montr\u00e9al, Canada;","institution_ids":[]},{"raw_affiliation_string":"\u00c9cole Polytechnique de Montr\u00e9al, Montr\u00e9al, Canada;","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015499689"],"corresponding_institution_ids":["https://openalex.org/I4210133247","https://openalex.org/I45683168"],"apc_list":null,"apc_paid":null,"fwci":1.6257,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86069857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"72","issue":"2","first_page":"383","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9998000264167786,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9998000264167786,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9922000169754028,"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/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.7779040336608887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943581104278564},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5223806500434875},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5000078678131104},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.49964380264282227},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48413142561912537},{"id":"https://openalex.org/keywords/constraint-programming","display_name":"Constraint programming","score":0.47578704357147217},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47177934646606445},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.44438815116882324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18767249584197998},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15686330199241638},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.12176933884620667}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.7779040336608887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943581104278564},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5223806500434875},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5000078678131104},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.49964380264282227},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48413142561912537},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.47578704357147217},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47177934646606445},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.44438815116882324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18767249584197998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15686330199241638},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.12176933884620667},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/01605682.2019.1678403","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2019.1678403","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjorxx:v:72:y:2021:i:2:p:383-397","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/01605682.2019.1678403","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:publications.polymtl.ca:44587","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/44587/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article de revue"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1977129671","https://openalex.org/W1998126277","https://openalex.org/W2039766013","https://openalex.org/W2040678783","https://openalex.org/W2040886899","https://openalex.org/W2050817363","https://openalex.org/W2065665769","https://openalex.org/W2069903872","https://openalex.org/W2086918511","https://openalex.org/W2103480272","https://openalex.org/W2109405343","https://openalex.org/W2125613881","https://openalex.org/W2141481566","https://openalex.org/W2151131571","https://openalex.org/W2153565255","https://openalex.org/W2158762372","https://openalex.org/W2163873159","https://openalex.org/W2198098822","https://openalex.org/W2297168717","https://openalex.org/W2620179678"],"related_works":["https://openalex.org/W1525389557","https://openalex.org/W2348837382","https://openalex.org/W2361554335","https://openalex.org/W2359992618","https://openalex.org/W2164188042","https://openalex.org/W4306878646","https://openalex.org/W2054495636","https://openalex.org/W2046552997","https://openalex.org/W2913191894","https://openalex.org/W746329893"],"abstract_inverted_index":{"This":[0,150],"article":[1],"focuses":[2],"on":[3,90,136],"a":[4,35,86,91,131,137],"variant":[5],"of":[6,48,95,104,114,123,163,173],"the":[7,26,46,72,81,96,102,112,121,124,143,147],"travelling":[8],"salesman":[9],"problem":[10,97],"with":[11,61],"time":[12,62,68],"windows":[13,63],"(TSPTW)":[14],"that":[15,134],"arises":[16],"in":[17,56,146,168],"postal":[18],"services":[19],"and":[20,64,107,119],"parcel":[21],"deliveries.":[22],"It":[23],"differs":[24],"from":[25],"classical":[27],"TSPTW":[28,74],"as":[29,38],"follows.":[30],"First,":[31],"route":[32],"duration":[33],"is":[34],"significant":[36],"concern,":[37],"human":[39,106],"costs":[40],"largely":[41],"exceed":[42],"vehicle":[43],"costs,":[44],"emphasising":[45],"importance":[47],"reducing":[49],"waiting":[50],"time.":[51,175],"Second,":[52],"customers":[53,66],"are":[54],"divided":[55],"two":[57],"categories:":[58],"Commercial":[59],"ones":[60],"private":[65],"without":[67],"window":[69],"restrictions,":[70],"making":[71],"NP-hard":[73],"even":[75],"harder":[76],"to":[77,100,141,154],"solve.":[78],"To":[79,110],"support":[80],"first":[82],"statement,":[83],"we":[84,128],"present":[85],"multi-objective":[87],"approach":[88,133],"based":[89],"constraint":[92],"programming":[93,139],"formulation":[94,140],"which":[98],"allows":[99,153],"balance":[101],"optimisation":[103],"both":[105],"material":[108],"resources.":[109],"address":[111],"issue":[113],"large-scale":[115],"sparsely":[116],"time-constrained":[117],"instances":[118],"reduce":[120],"size":[122],"large":[125],"real-world":[126],"instances,":[127],"also":[129],"introduce":[130],"cluster/solve/sequence":[132],"relies":[135],"mathematical":[138],"sequence":[142],"customer":[144],"visits":[145],"final":[148],"step.":[149],"decomposition":[151],"technique":[152],"produce":[155],"high-quality":[156],"solutions":[157],"(with":[158],"an":[159],"average":[160],"optimality":[161],"gap":[162],"1.31%)":[164],"for":[165],"industrial":[166],"problems":[167],"less":[169],"than":[170],"one":[171],"minute":[172],"computation":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
