{"id":"https://openalex.org/W4413162955","doi":"https://doi.org/10.1287/trsc.2024.0720","title":"Consistent Time Window Assignments for Stochastic Multi-Depot Multi-Commodity Pickup and Delivery","display_name":"Consistent Time Window Assignments for Stochastic Multi-Depot Multi-Commodity Pickup and Delivery","publication_year":2025,"publication_date":"2025-08-13","ids":{"openalex":"https://openalex.org/W4413162955","doi":"https://doi.org/10.1287/trsc.2024.0720"},"language":"en","primary_location":{"id":"doi:10.1287/trsc.2024.0720","is_oa":false,"landing_page_url":"https://doi.org/10.1287/trsc.2024.0720","pdf_url":null,"source":{"id":"https://openalex.org/S130252234","display_name":"Transportation Science","issn_l":"0041-1655","issn":["0041-1655","1526-5447"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportation Science","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/A5077362501","display_name":"Shohre Zehtabian","orcid":"https://orcid.org/0000-0003-2106-0478"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Shohre Zehtabian","raw_affiliation_strings":["Otto-von-Guericke Universit\u00e4t Magdeburg, 39016 Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2106-0478","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke Universit\u00e4t Magdeburg, 39016 Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058531068","display_name":"Marlin W. Ulmer","orcid":"https://orcid.org/0000-0003-2499-6570"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marlin W. Ulmer","raw_affiliation_strings":["Otto-von-Guericke Universit\u00e4t Magdeburg, 39016 Magdeburg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2499-6570","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke Universit\u00e4t Magdeburg, 39016 Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077362501"],"corresponding_institution_ids":["https://openalex.org/I95793202"],"apc_list":null,"apc_paid":null,"fwci":0.5823,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70372004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"60","issue":"1","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9940999746322632,"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"}},{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.9833999872207642,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/depot","display_name":"Depot","score":0.9135725498199463},{"id":"https://openalex.org/keywords/pickup","display_name":"Pickup","score":0.8490279316902161},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.624304473400116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48693692684173584},{"id":"https://openalex.org/keywords/commodity","display_name":"Commodity","score":0.47080907225608826},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.4598691165447235},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4102834165096283},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.35788261890411377},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35781973600387573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33769863843917847},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3268488347530365},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20427444577217102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19156798720359802},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10861748456954956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10477560758590698},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08467113971710205}],"concepts":[{"id":"https://openalex.org/C2776561332","wikidata":"https://www.wikidata.org/wiki/Q5554853","display_name":"Depot","level":2,"score":0.9135725498199463},{"id":"https://openalex.org/C2776221269","wikidata":"https://www.wikidata.org/wiki/Q572648","display_name":"Pickup","level":3,"score":0.8490279316902161},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.624304473400116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48693692684173584},{"id":"https://openalex.org/C2779439359","wikidata":"https://www.wikidata.org/wiki/Q317088","display_name":"Commodity","level":2,"score":0.47080907225608826},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.4598691165447235},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4102834165096283},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35788261890411377},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35781973600387573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33769863843917847},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3268488347530365},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20427444577217102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19156798720359802},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10861748456954956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10477560758590698},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08467113971710205},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1287/trsc.2024.0720","is_oa":false,"landing_page_url":"https://doi.org/10.1287/trsc.2024.0720","pdf_url":null,"source":{"id":"https://openalex.org/S130252234","display_name":"Transportation Science","issn_l":"0041-1655","issn":["0041-1655","1526-5447"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportation Science","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/7af98194-6632-4c16-ae61-1d64e8a3a515","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/7af98194-6632-4c16-ae61-1d64e8a3a515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zehtabian , S &amp; Marlin W. Ulmer 2023 ' Consistent Time Window Assignments for Stochastic Multi-Depot Multi-Commodity Pickup and Delivery ' . https://doi.org/10.24352/UB.OVGU-2023-038","raw_type":"workingPaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1569990960","https://openalex.org/W1969007958","https://openalex.org/W1982426168","https://openalex.org/W2007149280","https://openalex.org/W2016083649","https://openalex.org/W2023470442","https://openalex.org/W2024517173","https://openalex.org/W2036969993","https://openalex.org/W2100387313","https://openalex.org/W2139295133","https://openalex.org/W2164414207","https://openalex.org/W2801686598","https://openalex.org/W2807432979","https://openalex.org/W2809417058","https://openalex.org/W3021533098","https://openalex.org/W3026955418","https://openalex.org/W3028464939","https://openalex.org/W3036948589","https://openalex.org/W3038875115","https://openalex.org/W3159199892","https://openalex.org/W3213595443","https://openalex.org/W4226360597","https://openalex.org/W4320726898","https://openalex.org/W4394769606"],"related_works":["https://openalex.org/W2395000508","https://openalex.org/W2420434559","https://openalex.org/W3192142172","https://openalex.org/W2185313546","https://openalex.org/W2185850456","https://openalex.org/W2028669302","https://openalex.org/W1553143911","https://openalex.org/W2994962043","https://openalex.org/W2351571732","https://openalex.org/W2093799795"],"abstract_inverted_index":{"We":[0,151],"present":[1],"the":[2,11,53,61,64,77,87,111,116,136,145,153,161,167,179,185],"problem":[3,54,102,139,165],"of":[4,13,71,85,155,169],"assigning":[5],"consistent":[6],"time":[7,114],"windows":[8],"(TWs)":[9],"for":[10,26,40,187],"collection":[12,88],"multiple":[14],"fresh":[15],"products":[16],"from":[17,68],"local":[18],"farmers":[19],"and":[20,28,115,143,166],"delivering":[21],"them":[22],"to":[23,74,109,134,177],"distribution":[24,30],"centers":[25],"consolidation":[27],"further":[29],"in":[31,44],"a":[32,41,56,69,82,95,129],"short":[33],"agri-food":[34],"supply":[35],"chain.":[36],"TWs":[37,65,73],"are":[38,66,90],"assigned":[39,67],"longer":[42],"horizon":[43],"which":[45,80],"daily":[46,83],"demand":[47,157],"is":[48,108,204],"uncertain.":[49],"Consequently,":[50],"we":[51,123],"formulate":[52],"as":[55,182,184],"two-stage":[57],"stochastic":[58],"program.":[59],"In":[60,76],"first":[62],"stage,":[63,79],"set":[70],"discrete":[72],"farmers.":[75,188],"second":[78],"represents":[81],"realization":[84],"demand,":[86],"routes":[89],"planned":[91],"by":[92,194],"solving":[93,160],"yet":[94],"newly":[96],"introduced":[97],"multi-depot,":[98],"multi-commodity":[99],"team":[100],"orienteering":[101],"with":[103,128],"soft":[104],"TWs.":[105,150],"The":[106,201],"objective":[107],"minimize":[110],"overall":[112],"travel":[113],"TW":[117],"violations.":[118],"To":[119],"solve":[120],"our":[121,170],"problem,":[122],"combine":[124],"scenario":[125,141,146],"reduction":[126],"techniques":[127],"(heuristic)":[130],"progressive":[131],"hedging":[132],"algorithm":[133],"decompose":[135],"deterministic":[137,162],"equivalent":[138],"into":[140],"subproblems":[142],"guide":[144],"solutions":[147],"toward":[148],"consensus":[149],"show":[152],"value":[154,164],"considering":[156],"uncertainty":[158],"over":[159,172],"expected":[163],"superiority":[168],"approach":[171],"benchmarks":[173],"when":[174],"it":[175],"comes":[176],"reducing":[178],"routing":[180],"cost":[181],"well":[183],"inconvenience":[186],"Funding:":[189],"This":[190],"work":[191],"was":[192],"supported":[193],"Deutsche":[195],"Forschungsgemeinschaft":[196],"[Grant":[197],"444657906].":[198],"Supplemental":[199],"Material:":[200],"online":[202],"appendix":[203],"available":[205],"at":[206],"https://doi.org/10.1287/trsc.2024.0720":[207],".":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
