{"id":"https://openalex.org/W4403723950","doi":"https://doi.org/10.1109/dsaa61799.2024.10722827","title":"Magazine Supply Optimization: A Case-Study","display_name":"Magazine Supply Optimization: A Case-Study","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4403723950","doi":"https://doi.org/10.1109/dsaa61799.2024.10722827"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa61799.2024.10722827","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dsaa61799.2024.10722827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5107179038","display_name":"Duong Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duong Nguyen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107179039","display_name":"Ana Ulianovici","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ana Ulianovici","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107179040","display_name":"Sami Achour","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sami Achour","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107179041","display_name":"Soline Aubry","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soline Aubry","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5107179042","display_name":"Nicolas Chesneau","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicolas Chesneau","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25706367,"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":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.5730999708175659,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.5730999708175659,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/computer-science","display_name":"Computer science","score":0.5136629939079285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5136629939079285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa61799.2024.10722827","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dsaa61799.2024.10722827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","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":22,"referenced_works":["https://openalex.org/W1637767735","https://openalex.org/W1972481931","https://openalex.org/W1974761035","https://openalex.org/W1993145179","https://openalex.org/W2039319960","https://openalex.org/W2772724270","https://openalex.org/W2907251284","https://openalex.org/W2914763776","https://openalex.org/W2980994438","https://openalex.org/W3012366959","https://openalex.org/W3171884590","https://openalex.org/W4234060530","https://openalex.org/W4241653265","https://openalex.org/W4375928767","https://openalex.org/W4386901782","https://openalex.org/W6679603557","https://openalex.org/W6685112792","https://openalex.org/W6750729320","https://openalex.org/W6762839895","https://openalex.org/W6763309814","https://openalex.org/W6794726265","https://openalex.org/W6798067434"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Supply":[0],"optimization":[1,35,88],"is":[2,71],"a":[3,56,72,86,106],"complex":[4],"and":[5,22,25,64,119],"challenging":[6],"task":[7],"in":[8,47,113],"the":[9,15,39,51,69,92,97,114],"magazine":[10,33,110],"retail":[11],"industry":[12],"because":[13],"of":[14,45,68,94,99,116],"fixed":[16],"inventory":[17],"assumption,":[18],"irregular":[19],"sales":[20],"patterns,":[21],"varying":[23],"product":[24],"point-of-sale":[26],"characteristics.":[27],"We":[28,49],"introduce":[29],"AthenIA,":[30],"an":[31],"industrialized":[32],"supply":[34,40,52,87],"solution":[36,70],"that":[37,79,90],"plans":[38],"for":[41,109],"over":[42],"20,000":[43],"points":[44],"sale":[46],"France.":[48],"modularize":[50],"planning":[53],"process":[54],"into":[55],"four-step":[57],"pipeline:":[58],"demand":[59],"sensing,":[60],"optimization,":[61],"business":[62],"rules,":[63],"operating.":[65],"The":[66],"core":[67],"novel":[73],"group":[74],"conformalized":[75],"quantile":[76],"regression":[77],"method":[78],"integrates":[80],"domain":[81],"expert":[82],"insights,":[83],"coupled":[84],"with":[85],"technique":[89],"balances":[91],"costs":[93,98],"out-of-stock":[95],"against":[96],"over-supply.":[100],"AthenIA":[101],"has":[102],"proven":[103],"to":[104],"be":[105],"valuable":[107],"tool":[108],"publishers,":[111],"particularly":[112],"context":[115],"evolving":[117],"economic":[118],"ecological":[120],"challenges.":[121]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
