{"id":"https://openalex.org/W3184778341","doi":"https://doi.org/10.1115/1.4051342","title":"A Recommender System for the Additive Manufacturing of Component Inventories Using Machine Learning","display_name":"A Recommender System for the Additive Manufacturing of Component Inventories Using Machine Learning","publication_year":2021,"publication_date":"2021-06-02","ids":{"openalex":"https://openalex.org/W3184778341","doi":"https://doi.org/10.1115/1.4051342","mag":"3184778341"},"language":"en","primary_location":{"id":"doi:10.1115/1.4051342","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4051342","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-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/A5037855675","display_name":"Seyedeh Elaheh Ghiasian","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyedeh Elaheh Ghiasian","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011962621","display_name":"Kemper Lewis","orcid":"https://orcid.org/0000-0001-9592-9135"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kemper Lewis","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.279,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.5506383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9991000294685364,"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/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/leverage","display_name":"Leverage (statistics)","score":0.7546811103820801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367427706718445},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6109121441841125},{"id":"https://openalex.org/keywords/resource-consumption","display_name":"Resource consumption","score":0.6107271313667297},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5813135504722595},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.56201171875},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.44892004132270813},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.43377557396888733},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4105123281478882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3331281244754791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3312429189682007},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2121042013168335}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7546811103820801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367427706718445},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6109121441841125},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.6107271313667297},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5813135504722595},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.56201171875},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.44892004132270813},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.43377557396888733},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4105123281478882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3331281244754791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3312429189682007},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2121042013168335},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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:10.1115/1.4051342","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4051342","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1022778776","https://openalex.org/W1554944419","https://openalex.org/W1961147827","https://openalex.org/W1969841062","https://openalex.org/W1980390708","https://openalex.org/W1981868188","https://openalex.org/W1985174274","https://openalex.org/W1995105354","https://openalex.org/W1995575199","https://openalex.org/W2002424994","https://openalex.org/W2005553498","https://openalex.org/W2022635558","https://openalex.org/W2032694861","https://openalex.org/W2040806210","https://openalex.org/W2049017883","https://openalex.org/W2049631158","https://openalex.org/W2052590126","https://openalex.org/W2063784058","https://openalex.org/W2099446180","https://openalex.org/W2153968339","https://openalex.org/W2164117960","https://openalex.org/W2189625117","https://openalex.org/W2194478800","https://openalex.org/W2297629466","https://openalex.org/W2336214683","https://openalex.org/W2472334240","https://openalex.org/W2524869550","https://openalex.org/W2562089154","https://openalex.org/W2580641839","https://openalex.org/W2762176217","https://openalex.org/W2769827769","https://openalex.org/W2771464129","https://openalex.org/W2787894218","https://openalex.org/W2791597509","https://openalex.org/W2803041582","https://openalex.org/W2898684231","https://openalex.org/W2898977939","https://openalex.org/W2899194946","https://openalex.org/W2899604408","https://openalex.org/W2906181639","https://openalex.org/W2937952887","https://openalex.org/W2964036159","https://openalex.org/W2972263106","https://openalex.org/W2990653159","https://openalex.org/W2992734985","https://openalex.org/W2998176839","https://openalex.org/W3123920865","https://openalex.org/W4245920613","https://openalex.org/W4285719527","https://openalex.org/W6641082943","https://openalex.org/W6686980507","https://openalex.org/W6731102307"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W3125580266","https://openalex.org/W44246808","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Abstract":[0],"To":[1,51],"appropriately":[2],"leverage":[3,140],"the":[4,22,108,162],"benefits":[5],"of":[6,32,68,86,101,107,120,161,171],"additive":[7],"manufacturing":[8],"(AM),":[9],"it":[10],"would":[11],"be":[12,18],"advantageous":[13],"if":[14],"a":[15,41,58,63,76,105,118,141,169],"printing":[16],"could":[17,43],"guaranteed":[19],"before":[20],"allocating":[21],"necessary":[23],"resources.":[24],"Furthermore,":[25],"when":[26],"considering":[27],"AM":[28,98],"for":[29,62,122,135],"an":[30,96],"inventory":[31],"existing":[33,102],"components":[34],"traditionally":[35],"fabricated":[36],"through":[37],"traditional":[38],"means,":[39],"such":[40,53],"guarantee":[42],"result":[44],"in":[45,113],"significant":[46],"technical":[47],"and":[48,65,104],"economic":[49],"advantages.":[50],"realize":[52],"advantages,":[54],"this":[55],"paper":[56],"presents":[57],"platform":[59],"that":[60],"allows":[61],"successful":[64],"efficient":[66],"transition":[67],"part-inventories":[69],"to":[70,116,144],"AM.":[71,136],"This":[72,93],"is":[73,166],"accomplished":[74],"using":[75,168],"novel":[77],"design":[78,91,138],"recommender":[79],"system":[80,94],"supported":[81],"by":[82],"machine":[83],"learning,":[84],"capable":[85],"making":[87],"suggestions":[88],"towards":[89],"effective":[90],"modifications.":[92],"uses":[95],"automatic":[97],"feasibility":[99],"analysis":[100],"parts":[103,109],"clustering":[106],"based":[110],"on":[111],"similarities":[112],"their":[114],"AM-feasibilities":[115],"develop":[117],"set":[119],"recommendations":[121],"those":[123],"part":[124],"clusters":[125],"whose":[126],"current":[127],"designs":[128],"are":[129],"deemed":[130],"as":[131],"infeasible":[132],"and/or":[133],"inefficient":[134],"The":[137,159],"modifications":[139],"redesign":[142],"algorithm":[143,165],"address":[145],"not":[146],"only":[147],"problematic":[148],"geometric":[149],"issues":[150],"but":[151],"also":[152],"potential":[153],"infeasibilities":[154],"associated":[155],"with":[156],"resource":[157],"consumption.":[158],"utility":[160],"presented":[163],"modification":[164],"demonstrated":[167],"number":[170],"case":[172],"studies.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}