{"id":"https://openalex.org/W4414989099","doi":"https://doi.org/10.1016/j.cor.2025.107298","title":"The stochastic and dynamic inventory routing problem with fine time granularity: A reinforcement learning approach","display_name":"The stochastic and dynamic inventory routing problem with fine time granularity: A reinforcement learning approach","publication_year":2025,"publication_date":"2025-10-09","ids":{"openalex":"https://openalex.org/W4414989099","doi":"https://doi.org/10.1016/j.cor.2025.107298"},"language":"en","primary_location":{"id":"doi:10.1016/j.cor.2025.107298","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.cor.2025.107298","pdf_url":null,"source":{"id":"https://openalex.org/S173256270","display_name":"Computers & Operations Research","issn_l":"0305-0548","issn":["0305-0548","1873-765X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Operations Research","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/A5031909796","display_name":"Felipe Lagos","orcid":"https://orcid.org/0000-0001-5129-8896"},"institutions":[{"id":"https://openalex.org/I21067949","display_name":"Adolfo Ib\u00e1\u00f1ez University","ror":"https://ror.org/0326knt82","country_code":"CL","type":"education","lineage":["https://openalex.org/I21067949"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Felipe Lagos","raw_affiliation_strings":["Faculty of Engineering and Sciences, Universidad Adolfo Ib\u00e1\u00f1ez, Santiago 7941169, Chile"],"raw_orcid":"https://orcid.org/0000-0001-5129-8896","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Sciences, Universidad Adolfo Ib\u00e1\u00f1ez, Santiago 7941169, Chile","institution_ids":["https://openalex.org/I21067949"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031909796"],"corresponding_institution_ids":["https://openalex.org/I21067949"],"apc_list":{"value":3210,"currency":"USD","value_usd":3210},"apc_paid":null,"fwci":1.1126,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84104354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"185","issue":null,"first_page":"107298","last_page":"107298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T12288","display_name":"Optimization and Search Problems","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8191999793052673},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5514000058174133},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5443999767303467},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5357000231742859},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.4771000146865845},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4643000066280365},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4629000127315521},{"id":"https://openalex.org/keywords/inventory-control","display_name":"Inventory control","score":0.39910000562667847},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.39640000462532043}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8191999793052673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785999774932861},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5995000004768372},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5514000058174133},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5443999767303467},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5357000231742859},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.4771000146865845},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C117938511","wikidata":"https://www.wikidata.org/wiki/Q3634830","display_name":"Inventory control","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.3725999891757965},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.33889999985694885},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C170131372","wikidata":"https://www.wikidata.org/wiki/Q7617811","display_name":"Stochastic control","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.26589998602867126},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.25999999046325684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.cor.2025.107298","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.cor.2025.107298","pdf_url":null,"source":{"id":"https://openalex.org/S173256270","display_name":"Computers & Operations Research","issn_l":"0305-0548","issn":["0305-0548","1873-765X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Operations Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W599808240","https://openalex.org/W1601649239","https://openalex.org/W1832376799","https://openalex.org/W1931616235","https://openalex.org/W1978304871","https://openalex.org/W1982426168","https://openalex.org/W1989594682","https://openalex.org/W2000508486","https://openalex.org/W2004959510","https://openalex.org/W2014932765","https://openalex.org/W2018930959","https://openalex.org/W2024780670","https://openalex.org/W2031095045","https://openalex.org/W2039638040","https://openalex.org/W2041088973","https://openalex.org/W2041367235","https://openalex.org/W2050280061","https://openalex.org/W2090939957","https://openalex.org/W2117833774","https://openalex.org/W2120346173","https://openalex.org/W2121266360","https://openalex.org/W2127654349","https://openalex.org/W2134657424","https://openalex.org/W2136871443","https://openalex.org/W2139295133","https://openalex.org/W2145339207","https://openalex.org/W2150838944","https://openalex.org/W2152245674","https://openalex.org/W2161608691","https://openalex.org/W2168210873","https://openalex.org/W2170412087","https://openalex.org/W2257979135","https://openalex.org/W2552131750","https://openalex.org/W2597664555","https://openalex.org/W2606420466","https://openalex.org/W2612126268","https://openalex.org/W2740824376","https://openalex.org/W2782292887","https://openalex.org/W2797064164","https://openalex.org/W2808244097","https://openalex.org/W2884675571","https://openalex.org/W2888081647","https://openalex.org/W2910844905","https://openalex.org/W2950452023","https://openalex.org/W2981672233","https://openalex.org/W3002202905","https://openalex.org/W3009373810","https://openalex.org/W3010493183","https://openalex.org/W3021533098","https://openalex.org/W3035829704","https://openalex.org/W3081126571","https://openalex.org/W3121114425","https://openalex.org/W3157652862","https://openalex.org/W3159466381","https://openalex.org/W3174474790","https://openalex.org/W3176187537","https://openalex.org/W3185752748","https://openalex.org/W3198350258","https://openalex.org/W4205535112","https://openalex.org/W4214717370","https://openalex.org/W4233840023","https://openalex.org/W4242073862","https://openalex.org/W4242710636","https://openalex.org/W4306176730","https://openalex.org/W4308780247","https://openalex.org/W4313294387","https://openalex.org/W4313429943","https://openalex.org/W4389309315","https://openalex.org/W4389375381","https://openalex.org/W4390581512"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2025-10-10T00:00:00"}