{"id":"https://openalex.org/W4396879110","doi":"https://doi.org/10.1145/3647444.3647845","title":"Optimizing Supply Chain Operations with Machine Learning: A Path to Efficient Business Decision Making","display_name":"Optimizing Supply Chain Operations with Machine Learning: A Path to Efficient Business Decision Making","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396879110","doi":"https://doi.org/10.1145/3647444.3647845"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3647845","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-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/A5033812355","display_name":"V. Harish","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109528","display_name":"PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH","ror":"https://ror.org/01sa9ng67","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109528"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Harish Venkatasubramanian","raw_affiliation_strings":["PSG Institute of Management, PSG College of Technology, India"],"affiliations":[{"raw_affiliation_string":"PSG Institute of Management, PSG College of Technology, India","institution_ids":["https://openalex.org/I4210109528"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010401466","display_name":"A. Mansurali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mansurali Anifa","raw_affiliation_strings":["Management, Central University, India"],"affiliations":[{"raw_affiliation_string":"Management, Central University, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033812355"],"corresponding_institution_ids":["https://openalex.org/I4210109528"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34110317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9782000184059143,"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"}},{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9677000045776367,"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/supply-chain","display_name":"Supply chain","score":0.6951318979263306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6597854495048523},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5618783831596375},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.4126394987106323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37686410546302795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.363059401512146},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.33855515718460083},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1680639684200287},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11855551600456238},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.0950365960597992},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07620933651924133}],"concepts":[{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.6951318979263306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597854495048523},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5618783831596375},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.4126394987106323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37686410546302795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.363059401512146},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.33855515718460083},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1680639684200287},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11855551600456238},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0950365960597992},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07620933651924133},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3647845","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W1970895429","https://openalex.org/W1983277437","https://openalex.org/W1998652696","https://openalex.org/W2001272102","https://openalex.org/W2028154000","https://openalex.org/W2103287430","https://openalex.org/W2117861885","https://openalex.org/W2125595978","https://openalex.org/W2299164635","https://openalex.org/W2558040734","https://openalex.org/W2607219532","https://openalex.org/W2650941562","https://openalex.org/W2768254111","https://openalex.org/W2777830700","https://openalex.org/W2926314329","https://openalex.org/W2947788863","https://openalex.org/W3007397514","https://openalex.org/W3036445180","https://openalex.org/W3047327247","https://openalex.org/W3134088256","https://openalex.org/W3191156418","https://openalex.org/W3212081033","https://openalex.org/W3214978544","https://openalex.org/W4224910733","https://openalex.org/W4250259632","https://openalex.org/W4306895318","https://openalex.org/W4307804863","https://openalex.org/W6627631702","https://openalex.org/W6682710050"],"related_works":["https://openalex.org/W2767550285","https://openalex.org/W2620085874","https://openalex.org/W2064496565","https://openalex.org/W1575661125","https://openalex.org/W4309070544","https://openalex.org/W2108330697","https://openalex.org/W169337936","https://openalex.org/W2049056888","https://openalex.org/W2365436291","https://openalex.org/W4241842276"],"abstract_inverted_index":{"The":[0,43,61,81,119,145],"domain":[1],"of":[2,33,39,63,68,78,83,92,99,113,121,129,131,163],"Supply":[3],"chain":[4,104],"has":[5],"rapidly":[6],"evolved":[7],"with":[8,46],"the":[9,16,31,37,55,66,76,84,89,96,109,122,125,150,160],"ever-increasing":[10],"need":[11],"for":[12,19,116],"managers":[13],"to":[14,29,54,87],"optimize":[15],"entire":[17],"network":[18],"better":[20],"customer":[21],"service":[22],"and":[23,52,70,94,107,111,159],"profitability.":[24],"This":[25],"research":[26],"article":[27],"aims":[28],"understand":[30,88],"adoption":[32],"Machine":[34],"learning":[35,101],"in":[36,102,133,166],"arena":[38],"optimized":[40,117,134],"supply":[41,103],"chain.":[42],"paper":[44,85,123,146],"starts":[45],"an":[47,73],"introduction":[48],"giving":[49],"a":[50,155],"background":[51],"context":[53],"subject":[56],"followed":[57],"by":[58,148],"literature":[59,64],"review.":[60],"review":[62],"discusses":[65],"challenges":[67,91,106,112,162],"SCM":[69,93],"also":[71],"gives":[72],"understanding":[74],"on":[75],"topic":[77],"machine":[79,100],"learning.":[80],"objectives":[82],"are":[86,124],"critical":[90],"Analyse":[95],"diverse":[97],"applications":[98],"operations":[105],"discuss":[108],"benefits":[110,153],"applying":[114],"ML":[115,132,165],"SC.":[118],"findings":[120],"various":[126,151],"potential":[127,152],"areas":[128],"application":[130],"SC":[135,167],"such":[136],"as":[137],"demand":[138],"prediction,":[139],"route":[140],"optimization,":[141],"inventory":[142],"management":[143],"etc.":[144],"concludes":[147],"presenting":[149],"that":[154],"firm":[156],"could":[157],"gain":[158],"prominent":[161],"Applying":[164],"optimization.":[168]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
