{"id":"https://openalex.org/W7169763983","doi":"https://doi.org/10.1109/ojcoms.2026.3714979","title":"A Hybrid Genetic Algorithm and Multi-Agent Reinforcement Learning Framework for Optimized Supply Chain Management Using Edge-Enabled Digital Twins","display_name":"A Hybrid Genetic Algorithm and Multi-Agent Reinforcement Learning Framework for Optimized Supply Chain Management Using Edge-Enabled Digital Twins","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7169763983","doi":"https://doi.org/10.1109/ojcoms.2026.3714979"},"language":"en","primary_location":{"id":"doi:10.1109/ojcoms.2026.3714979","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2026.3714979","pdf_url":null,"source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/ojcoms.2026.3714979","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124431790","display_name":"Dinesh Sahu","orcid":null},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dinesh Prasad Sahu","raw_affiliation_strings":["Bennett University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bennett University","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047009107","display_name":"Bharati Rathore","orcid":"https://orcid.org/0009-0006-5763-6896"},"institutions":[{"id":"https://openalex.org/I128993996","display_name":"University of South Wales","ror":"https://ror.org/02mzn7s88","country_code":"GB","type":"education","lineage":["https://openalex.org/I128993996"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bharati Rathore","raw_affiliation_strings":["University of South Wales"],"raw_orcid":"https://orcid.org/0009-0006-5763-6896","affiliations":[{"raw_affiliation_string":"University of South Wales","institution_ids":["https://openalex.org/I128993996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141173859","display_name":"Raja Saeed Iqbal","orcid":null},"institutions":[{"id":"https://openalex.org/I128993996","display_name":"University of South Wales","ror":"https://ror.org/02mzn7s88","country_code":"GB","type":"education","lineage":["https://openalex.org/I128993996"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Raja Saeed Iqbal","raw_affiliation_strings":["University of South Wales"],"raw_orcid":"https://orcid.org/0009-0003-0311-6623","affiliations":[{"raw_affiliation_string":"University of South Wales","institution_ids":["https://openalex.org/I128993996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756528","display_name":"Weiwei Jiang","orcid":"https://orcid.org/0000-0003-0953-5047"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Jiang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":"https://orcid.org/0000-0003-0953-5047","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071528383","display_name":"Shiv Prakash","orcid":"https://orcid.org/0000-0001-7610-3004"},"institutions":[{"id":"https://openalex.org/I168893459","display_name":"University of Allahabad","ror":"https://ror.org/03vrx7m55","country_code":"IN","type":"education","lineage":["https://openalex.org/I168893459"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shiv Prakash","raw_affiliation_strings":["University of Allahabad"],"raw_orcid":"https://orcid.org/0000-0001-7610-3004","affiliations":[{"raw_affiliation_string":"University of Allahabad","institution_ids":["https://openalex.org/I168893459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091495389","display_name":"Vishal Krishna Singh","orcid":"https://orcid.org/0000-0002-5438-579X"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vishal Krishna Singh","raw_affiliation_strings":["University of Essex"],"raw_orcid":"https://orcid.org/0000-0002-5438-579X","affiliations":[{"raw_affiliation_string":"University of Essex","institution_ids":["https://openalex.org/I110002522"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.847727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"8609","last_page":"8619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.4560999870300293,"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/T10763","display_name":"Digital Transformation in Industry","score":0.4560999870300293,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.042100001126527786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.031700000166893005,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.569100022315979},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5367000102996826},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.4758000075817108},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"Supply chain management","score":0.41760000586509705},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.3686999976634979},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.34299999475479126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6065999865531921},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.569100022315979},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43709999322891235},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.41760000586509705},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C3018790387","wikidata":"https://www.wikidata.org/wiki/Q869010","display_name":"Hybrid learning","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2563000023365021},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcoms.2026.3714979","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2026.3714979","pdf_url":null,"source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:19468893e5a6456abe9c224461253980","is_oa":false,"landing_page_url":"https://doaj.org/article/19468893e5a6456abe9c224461253980","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Communications Society, Vol 7, Pp 8609-8619 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcoms.2026.3714979","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcoms.2026.3714979","pdf_url":null,"source":{"id":"https://openalex.org/S4210202420","display_name":"IEEE Open Journal of the Communications Society","issn_l":"2644-125X","issn":["2644-125X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Communications Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,105],"order":[1],"to":[2,44,51,53,93,126,137,190,227],"cope":[3],"with":[4,63,79,171,184,197],"the":[5,64,75,87,94,107,146,155,172,216],"growing":[6],"complexity":[7],"and":[8,28,49,81,103,128,154,181,192,201,224],"dynamism":[9],"of":[10,66,141,188,199,204,209],"contemporary":[11],"supply":[12,56,230],"chain":[13,57,231],"management":[14],"(SCM),":[15],"this":[16],"paper":[17],"suggests":[18],"a":[19,60,185,193,202,221],"hybrid":[20],"optimization":[21],"model":[22,109],"that":[23,86,215],"combines":[24],"Genetic":[25],"Algorithm":[26],"(GA)":[27],"Multi-Agent":[29],"Reinforcement":[30],"Learning":[31],"(MARL)":[32],"in":[33,59,161],"an":[34],"Edge-Enabled":[35],"Digital":[36],"Twin":[37],"(EEDT)":[38],"setting.":[39],"The":[40,175],"framework":[41,176,219],"uses":[42],"GA":[43],"optimize":[45],"strategic":[46],"decisions":[47],"globally,":[48],"MARL":[50],"adapt":[52],"changes":[54],"at":[55,74],"nodes":[58],"decentralized":[61],"manner,":[62],"help":[65],"constant":[67],"feedback":[68],"provided":[69],"by":[70,113,119,123,131,151],"digital":[71],"twins":[72],"deployed":[73],"edge.":[76],"Experimental":[77],"analysis":[78],"real-world":[80],"synthetic":[82],"SCM":[83],"data":[84],"shows":[85],"performance":[88],"is":[89,159],"greatly":[90],"improved":[91],"compared":[92],"baseline":[95,139,173],"algorithms,":[96],"such":[97],"as":[98,132,134],"standalone":[99],"GA,":[100],"MARL,":[101],"PSO,":[102],"ACO.":[104],"particular,":[106],"proposed":[108],"enhances":[110],"fill":[111],"rate":[112,187],"about":[114,120,124],"91%-96.5%,":[115],"inventory":[116],"turnover":[117],"ratio":[118],"20%":[121],"(improved":[122],"4.7":[125],"5.78),":[127],"stockout":[129],"rates":[130],"much":[133],"4.3%":[135],"(compared":[136],"higher":[138],"levels":[140],"more":[142,179,182],"than":[143],"5.5%).":[144],"Also,":[145],"transportation":[147],"costs":[148],"are":[149],"decreased":[150,160],"approximately":[152],"10-15%,":[153],"average":[156],"delivery":[157],"time":[158],"high":[162],"traffic":[163],"conditions":[164],"(e.g.,":[165],"78":[166],"minutes":[167,170],"versus":[168],"83-85":[169],"methods).":[174],"also":[177],"converges":[178],"quickly":[180],"steadily,":[183],"convergence":[186],"up":[189],"99.8%":[191],"better":[194],"prediction":[195],"accuracy":[196],"MAPE":[198],"3.5%":[200],"value":[203],"<inline-formula>":[205],"<tex-math":[206],"notation=\"LaTeX\">$R^{2}$":[207],"</tex-math></inline-formula>":[208],"nearly":[210],"0.98.":[211],"These":[212],"findings":[213],"indicate":[214],"suggested":[217],"GA-MARL-EEDT":[218],"offers":[220],"scalable,":[222],"adaptive,":[223],"cost-effective":[225],"solution":[226],"next-generation":[228],"intelligent":[229],"optimization.":[232]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2026-07-21T00:00:00"}
