{"id":"https://openalex.org/W4385459355","doi":"https://doi.org/10.1080/23270012.2023.2239818","title":"An inventory analysis in a multi-echelon supply chain system under asymmetry fuzzy demand: a fmincon optimization","display_name":"An inventory analysis in a multi-echelon supply chain system under asymmetry fuzzy demand: a fmincon optimization","publication_year":2023,"publication_date":"2023-07-31","ids":{"openalex":"https://openalex.org/W4385459355","doi":"https://doi.org/10.1080/23270012.2023.2239818"},"language":"en","primary_location":{"id":"doi:10.1080/23270012.2023.2239818","doi":"https://doi.org/10.1080/23270012.2023.2239818","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23270012.2023.2239818","pdf_url":null,"source":{"id":"https://openalex.org/S4210210207","display_name":"Journal of Management Analytics","issn_l":"2327-0012","issn":["2327-0012","2327-0039"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Management Analytics","raw_type":"journal-article"},"volume":null,"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/A5027906705","display_name":"B. Karthick","orcid":"https://orcid.org/0000-0002-6715-4528","observed_orcids":["https://orcid.org/0000-0002-6715-4528"]},"institutions":[{"id":"https://openalex.org/I4387154466","display_name":"M. Kumarasamy College of Engineering","ror":"https://ror.org/03z0n5k81","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387154466"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"B. Karthick","raw_affiliation_strings":["Department of Mathematics, M.Kumarasamy College of Engineering, Karur, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, M.Kumarasamy College of Engineering, Karur, Tamilnadu, India","institution_ids":["https://openalex.org/I4387154466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027906705"],"corresponding_institution_ids":["https://openalex.org/I4387154466"],"apc_list":null,"apc_paid":null,"fwci":2.874,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91112342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"10","issue":"4","first_page":"649","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9965999722480774,"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/T10328","display_name":"Supply Chain and Inventory Management","score":0.9965999722480774,"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/T12709","display_name":"Optimization and Mathematical Programming","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10539","display_name":"Sustainable Supply Chain Management","score":0.0008999999845400453,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inventory-analysis","display_name":"inventory analysis","score":0.6299999952316284},{"id":"https://openalex.org/keywords/multi-echelon-supply-chain","display_name":"multi-echelon supply chain","score":0.9860000014305115},{"id":"https://openalex.org/keywords/fuzzy-demand","display_name":"fuzzy demand","score":0.7889999747276306},{"id":"https://openalex.org/keywords/three-echelon-supply-chain","display_name":"three-echelon supply chain","score":0.8529999852180481},{"id":"https://openalex.org/keywords/lost-sales","display_name":"lost sales","score":0.8119999766349792},{"id":"https://openalex.org/keywords/inventory-cost-reduction","display_name":"inventory cost minimization","score":0.9610000252723694}],"concepts":[{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.7354947328567505},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6754270195960999},{"id":"https://openalex.org/C2777338717","wikidata":"https://www.wikidata.org/wiki/Q1762621","display_name":"Vendor","level":2,"score":0.6706453561782837},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6397393941879272},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5044530630111694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5008594989776611},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.47720035910606384},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4753819704055786},{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.4325754940509796},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20292389392852783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17942562699317932},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13619303703308105},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1077229380607605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/23270012.2023.2239818","doi":"https://doi.org/10.1080/23270012.2023.2239818","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23270012.2023.2239818","pdf_url":null,"source":{"id":"https://openalex.org/S4210210207","display_name":"Journal of Management Analytics","issn_l":"2327-0012","issn":["2327-0012","2327-0039"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Management Analytics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjmaxx:v:10:y:2023:i:4:p:649-675","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/23270012.2023.2239818","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1975621985","https://openalex.org/W2001483837","https://openalex.org/W2029300078","https://openalex.org/W2161136913","https://openalex.org/W2318520703","https://openalex.org/W2341159470","https://openalex.org/W2619185732","https://openalex.org/W2745197235","https://openalex.org/W2791728262","https://openalex.org/W2809980322","https://openalex.org/W2906739068","https://openalex.org/W2912699966","https://openalex.org/W2947841444","https://openalex.org/W2961358738","https://openalex.org/W2990661888","https://openalex.org/W2992666198","https://openalex.org/W3006395235","https://openalex.org/W3008004778","https://openalex.org/W3014940554","https://openalex.org/W3038156993","https://openalex.org/W3101711777","https://openalex.org/W3127664630","https://openalex.org/W3127682772","https://openalex.org/W3148994534","https://openalex.org/W3183699687","https://openalex.org/W3190566582","https://openalex.org/W3195636948","https://openalex.org/W3214024788","https://openalex.org/W4200349697","https://openalex.org/W4200526391","https://openalex.org/W4205693352","https://openalex.org/W4282042627"],"related_works":["https://openalex.org/W2095857361","https://openalex.org/W2361671650","https://openalex.org/W2106748968","https://openalex.org/W2399934840","https://openalex.org/W2368809267","https://openalex.org/W2127415335","https://openalex.org/W2353217089","https://openalex.org/W2356289199","https://openalex.org/W2186968105","https://openalex.org/W2041844700"],"abstract_inverted_index":{"In":[0],"this":[1,64,77,109],"article,":[2],"the":[3,32,35,43,46,50,53,66,82,88,126,130],"three-echelon":[4],"supply":[5,39],"chain":[6],"model":[7,78],"is":[8,29,55,68,79,97,122],"developed":[9],"with":[10,135],"a":[11,14,18,22,94],"single":[12,15,19],"supplier,":[13],"vendor":[16],"and":[17,61,103,115],"buyer":[20],"in":[21,52,63],"fuzzy":[23,71,91],"environment.":[24],"The":[25,73],"three-stage":[26],"inspection":[27],"technique":[28],"considered":[30],"at":[31],"end":[33],"of":[34,49,76],"vendor's":[36],"process":[37],"to":[38,42,58,80,87,99,124],"high-quality":[40],"products":[41],"buyer.":[44],"Moreover,":[45],"demand":[47],"rate":[48],"product":[51],"market":[54],"often":[56],"assumed":[57],"be":[59],"uncertain,":[60],"accordingly,":[62],"paper,":[65],"uncertainty":[67],"handled":[69],"using":[70],"numbers.":[72],"primary":[74],"goal":[75],"minimize":[81],"overall":[83],"inventory":[84],"cost":[85],"relative":[86],"asymmetry":[89],"hexagonal":[90],"demand.":[92],"Additionally,":[93],"backorder":[95],"strategy":[96],"incorporated":[98],"gain":[100],"customer":[101],"satisfaction":[102],"reduce":[104],"lost":[105],"sales.":[106],"To":[107],"validate":[108],"model,":[110],"numerical":[111],"examples":[112],"are":[113,139],"tested":[114],"constrained":[116],"non-linear":[117],"optimization":[118],"(i.e.":[119],"fmincon":[120],"solver)":[121],"performed":[123],"derive":[125],"optimal":[127],"solution":[128],"for":[129],"decision":[131],"variables.":[132],"Finally,":[133],"conclusions":[134],"potential":[136],"future":[137],"directions":[138],"provided.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2023-08-02T00:00:00"}