{"id":"https://openalex.org/W4412677963","doi":"https://doi.org/10.31449/inf.v49i26.8396","title":"Deep Reinforcement Learning with Convolutional Neural Networks for Optimizing Supply Chain Inventory Management","display_name":"Deep Reinforcement Learning with Convolutional Neural Networks for Optimizing Supply Chain Inventory Management","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W4412677963","doi":"https://doi.org/10.31449/inf.v49i26.8396"},"language":"en","primary_location":{"id":"doi:10.31449/inf.v49i26.8396","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v49i26.8396","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/8396/4604","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/8396/4604","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103357916","display_name":"Sheng Wang","orcid":"https://orcid.org/0009-0006-5674-5943"},"institutions":[{"id":"https://openalex.org/I4210142271","display_name":"Wan Fang Hospital","ror":"https://ror.org/058y0nn10","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210142271"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["Wang"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wang","institution_ids":["https://openalex.org/I4210142271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004583777","display_name":"Li Fan","orcid":"https://orcid.org/0000-0003-4722-3933"},"institutions":[{"id":"https://openalex.org/I4210110925","display_name":"Jiaozuo University","ror":"https://ror.org/024nbxn35","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110925"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["College of Economics and Management, Jiaozuo University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Jiaozuo University","institution_ids":["https://openalex.org/I4210110925"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7777,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75593306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"49","issue":"26","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.5997999906539917,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.5997999906539917,"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/T10763","display_name":"Digital Transformation in Industry","score":0.5414999723434448,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8085254430770874},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.6369516253471375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6251742243766785},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6217977404594421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5452651381492615},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"Supply chain management","score":0.5193277597427368},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4820767045021057},{"id":"https://openalex.org/keywords/inventory-management","display_name":"Inventory management","score":0.47268038988113403},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4326391816139221},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37178146839141846},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.19638317823410034},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.18599700927734375},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13826534152030945},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12016427516937256}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8085254430770874},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.6369516253471375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251742243766785},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6217977404594421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5452651381492615},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.5193277597427368},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4820767045021057},{"id":"https://openalex.org/C3018434026","wikidata":"https://www.wikidata.org/wiki/Q3761396","display_name":"Inventory management","level":2,"score":0.47268038988113403},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4326391816139221},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37178146839141846},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.19638317823410034},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.18599700927734375},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13826534152030945},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12016427516937256},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v49i26.8396","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v49i26.8396","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/8396/4604","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v49i26.8396","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v49i26.8396","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/8396/4604","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412677963.pdf","grobid_xml":"https://content.openalex.org/works/W4412677963.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2897403287","https://openalex.org/W2915522475","https://openalex.org/W3099595185","https://openalex.org/W3109720610","https://openalex.org/W3111679127","https://openalex.org/W3155734898","https://openalex.org/W3170351986","https://openalex.org/W3209209942","https://openalex.org/W3210556606","https://openalex.org/W4230336683","https://openalex.org/W4286540934","https://openalex.org/W4307238778","https://openalex.org/W4308067623","https://openalex.org/W4321021990","https://openalex.org/W4323565055","https://openalex.org/W4380684901","https://openalex.org/W4386473325","https://openalex.org/W4386913717","https://openalex.org/W4389538044","https://openalex.org/W4390187090","https://openalex.org/W4390954329","https://openalex.org/W4401332505","https://openalex.org/W4403340322","https://openalex.org/W4404914462","https://openalex.org/W4405755441"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2983500849","https://openalex.org/W3024999678","https://openalex.org/W388184414","https://openalex.org/W2384624282"],"abstract_inverted_index":{"With":[0],"the":[1,28,50,58,68,82,109,125,131,136,143,165,175,182,189,198,211,218,226],"increasing":[2],"complexity":[3],"of":[4,84,151,172],"global":[5],"supply":[6,247],"chains":[7],"and":[8,19,55,105,135,197,217,234,239,243],"frequent":[9],"fluctuations":[10,233],"in":[11],"market":[12],"demand,":[13],"inventory":[14,21,34,65,177,191,237,249],"management":[15],"faces":[16],"severe":[17],"challenges,":[18],"traditional":[20],"control":[22,35],"methods":[23],"are":[24,207],"difficult":[25],"to":[26,63,74,80],"meet":[27],"needs.":[29],"This":[30,87,120],"paper":[31],"constructs":[32],"an":[33],"model":[36,114,121,141,166,216,227],"that":[37,164,225],"combines":[38],"deep":[39],"reinforcement":[40],"learning":[41],"(DRL)":[42],"with":[43,124,231],"convolutional":[44],"neural":[45],"networks":[46],"(CNN).":[47],"By":[48],"defining":[49],"state":[51],"space,":[52],"action":[53],"space":[54],"reward":[56],"function,":[57],"Q-learning":[59],"algorithm":[60],"is":[61,72,179,186,194,202],"used":[62,73],"optimize":[64,236],"decisions.":[66],"At":[67],"same":[69],"time,":[70],"CNN":[71],"extract":[75],"historical":[76,90],"demand":[77,85,148,169,232],"data":[78,92],"features":[79],"improve":[81],"accuracy":[83],"forecasting.":[86],"study":[88,223],"uses":[89],"sales":[91],"from":[93],"a":[94,99,168,241],"medium-sized":[95],"clothing":[96],"retailer":[97],"as":[98,142],"dataset,":[100],"which":[101],"contains":[102],"sales,":[103],"inventory,":[104],"replenishment":[106],"records":[107],"for":[108,117,246],"past":[110],"4":[111],"years.":[112],"The":[113,146,160,222],"was":[115,122,153],"trained":[116],"500":[118],"episodes.":[119],"compared":[123],"economic":[126,212],"order":[127,213],"quantity":[128,214],"(EOQ)":[129,215],"model,":[130,134],"periodic":[132,219],"ordering":[133,220],"simple":[137],"moving":[138],"average":[139,190,199],"forecasting":[140],"benchmark":[144],"model.":[145,221],"model's":[147],"forecast":[149,170],"error":[150,171],"3.2%":[152],"measured":[154],"on":[155],"independent":[156],"actual":[157],"test":[158],"data.":[159],"experimental":[161],"results":[162],"show":[163],"has":[167],"only":[173,203],"3.2%,":[174],"total":[176],"cost":[178,183],"14,500":[180],"yuan,":[181],"reduction":[184],"rate":[185,193,201],"-":[187],"22%,":[188],"turnover":[192],"10.5":[195],"times,":[196],"out-of-stock":[200],"2.1%.":[204],"All":[205],"indicators":[206],"significantly":[208],"better":[209],"than":[210],"proves":[224],"can":[228],"effectively":[229],"cope":[230],"uncertainties,":[235],"management,":[238],"provide":[240],"new":[242],"effective":[244],"method":[245],"chain":[248],"control.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}