{"id":"https://openalex.org/W4280541879","doi":"https://doi.org/10.3390/sym14051013","title":"Mechanical Assembly Sequence Determination Using Artificial Neural Networks Based on Selected DFA Rating Factors","display_name":"Mechanical Assembly Sequence Determination Using Artificial Neural Networks Based on Selected DFA Rating Factors","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4280541879","doi":"https://doi.org/10.3390/sym14051013"},"language":"en","primary_location":{"id":"doi:10.3390/sym14051013","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14051013","pdf_url":"https://www.mdpi.com/2073-8994/14/5/1013/pdf?version=1652699122","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/5/1013/pdf?version=1652699122","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000774358","display_name":"Marcin Suszy\u0144ski","orcid":"https://orcid.org/0000-0001-7926-0574"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Marcin Suszy\u0144ski","raw_affiliation_strings":["Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland"],"raw_orcid":"https://orcid.org/0000-0001-7926-0574","affiliations":[{"raw_affiliation_string":"Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081999989","display_name":"Katarzyna Peta","orcid":"https://orcid.org/0000-0002-9915-838X"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Katarzyna Peta","raw_affiliation_strings":["Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland"],"raw_orcid":"https://orcid.org/0000-0002-9915-838X","affiliations":[{"raw_affiliation_string":"Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008122715","display_name":"V\u00edt \u010cernohl\u00e1vek","orcid":"https://orcid.org/0000-0001-6816-1124"},"institutions":[{"id":"https://openalex.org/I3122934890","display_name":"Jan Evangelista Purkyn\u011b University in \u00dast\u00ed nad Labem","ror":"https://ror.org/04vjwcp92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I3122934890"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"V\u00edt \u010cernohl\u00e1vek","raw_affiliation_strings":["Faculty of Mechanical Engineering, University of Jan Evangelista Purkyn\u011b in \u00dast\u00ed nad Labem, 400 96 \u00dast\u00ed nad Labem, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0001-6816-1124","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, University of Jan Evangelista Purkyn\u011b in \u00dast\u00ed nad Labem, 400 96 \u00dast\u00ed nad Labem, Czech Republic","institution_ids":["https://openalex.org/I3122934890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081572384","display_name":"Martin Svoboda","orcid":"https://orcid.org/0000-0002-7344-1531"},"institutions":[{"id":"https://openalex.org/I3122934890","display_name":"Jan Evangelista Purkyn\u011b University in \u00dast\u00ed nad Labem","ror":"https://ror.org/04vjwcp92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I3122934890"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Martin Svoboda","raw_affiliation_strings":["Faculty of Mechanical Engineering, University of Jan Evangelista Purkyn\u011b in \u00dast\u00ed nad Labem, 400 96 \u00dast\u00ed nad Labem, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-7344-1531","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, University of Jan Evangelista Purkyn\u011b in \u00dast\u00ed nad Labem, 400 96 \u00dast\u00ed nad Labem, Czech Republic","institution_ids":["https://openalex.org/I3122934890"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000774358"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.2109,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88368371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"5","first_page":"1013","last_page":"1013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998999834060669,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998999834060669,"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/T13113","display_name":"Engineering Technology and Methodologies","score":0.995199978351593,"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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9896000027656555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7995924949645996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021546363830566},{"id":"https://openalex.org/keywords/broyden\u2013fletcher\u2013goldfarb\u2013shanno-algorithm","display_name":"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno algorithm","score":0.5666717886924744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5321432948112488},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5138292908668518},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4862750768661499},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36707109212875366}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7995924949645996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021546363830566},{"id":"https://openalex.org/C132721684","wikidata":"https://www.wikidata.org/wiki/Q2877013","display_name":"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno algorithm","level":3,"score":0.5666717886924744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5321432948112488},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5138292908668518},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4862750768661499},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36707109212875366},{"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/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym14051013","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14051013","pdf_url":"https://www.mdpi.com/2073-8994/14/5/1013/pdf?version=1652699122","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5589728f818c4d5fbb56f86cb170ab73","is_oa":true,"landing_page_url":"https://doaj.org/article/5589728f818c4d5fbb56f86cb170ab73","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 14, Iss 5, p 1013 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/14/5/1013/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym14051013","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry; Volume 14; Issue 5; Pages: 1013","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym14051013","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14051013","pdf_url":"https://www.mdpi.com/2073-8994/14/5/1013/pdf?version=1652699122","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4280541879.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W359607932","https://openalex.org/W1828435682","https://openalex.org/W1866859164","https://openalex.org/W1972003525","https://openalex.org/W1983459612","https://openalex.org/W1988967613","https://openalex.org/W2004608830","https://openalex.org/W2005799894","https://openalex.org/W2059956980","https://openalex.org/W2065406644","https://openalex.org/W2093692784","https://openalex.org/W2125509133","https://openalex.org/W2132114586","https://openalex.org/W2168184822","https://openalex.org/W2182028084","https://openalex.org/W2189009115","https://openalex.org/W2275479930","https://openalex.org/W2353090994","https://openalex.org/W2522635380","https://openalex.org/W2527579376","https://openalex.org/W2557559855","https://openalex.org/W2591294961","https://openalex.org/W2783122398","https://openalex.org/W2942349497","https://openalex.org/W2954178382","https://openalex.org/W3088075742","https://openalex.org/W3211473882","https://openalex.org/W6685608110"],"related_works":["https://openalex.org/W2016852760","https://openalex.org/W1972403393","https://openalex.org/W3078710903","https://openalex.org/W2787890441","https://openalex.org/W2050511877","https://openalex.org/W2059808679","https://openalex.org/W3199158697","https://openalex.org/W1998698147","https://openalex.org/W2136780394","https://openalex.org/W1983625179"],"abstract_inverted_index":{"In":[0,164],"this":[1],"paper,":[2],"an":[3,125,277],"assembly":[4,57,72,78,114,140,150,158,238,255,278],"sequence":[5,151,256,279],"planning":[6,152,280],"system,":[7],"based":[8,116,133],"on":[9,117,134],"artificial":[10,18,39],"neural":[11,19,40,79,108,144,166,234,268],"networks,":[12,41,167],"is":[13,22,82,110,222,257],"developed.":[14],"The":[15,74,104,128,142,181,217],"problem":[16],"of":[17,30,56,106,189,207,212,219,226,228],"network":[20,66,80,109,129,145,182,235],"itself":[21],"largely":[23],"related":[24],"to":[25,64,76,111,236,248,251],"symmetry":[26],"at":[27],"every":[28],"stage":[29],"its":[31],"creation.":[32],"A":[33],"new":[34],"modeling":[35],"scheme,":[36],"known":[37],"as":[38,124,273],"takes":[42],"into":[43],"account":[44],"selected":[45,135,195],"DFA":[46,136,230],"(Design":[47],"for":[48,85,160,276],"Assembly)":[49],"rating":[50],"factors,":[51],"which":[52,253],"allow":[53],"the":[54,61,65,71,77,83,87,91,97,113,118,139,148,156,161,165,168,205,220,224,229,233,249,258,262,267],"evaluation":[55],"sequences,":[58],"what":[59],"are":[60,131,179],"input":[62,75],"data":[63,132],"learning":[67],"and":[68,99,121,175,203,214,232],"then":[69],"estimate":[70,237,252],"time.":[73,141],"procedure":[81],"sequences":[84],"assembling":[86],"parts,":[88],"extended":[89],"by":[90],"assembly\u2019s":[92],"connection":[93],"graph":[94],"that":[95,266],"represents":[96],"parts":[98,227],"relations":[100],"between":[101],"these":[102],"parts.":[103,163],"operation":[105],"a":[107,187,274],"predict":[112],"time":[115,159],"training":[119,213],"dataset":[120],"indicate":[122],"it":[123],"output":[126],"value.":[127],"inputs":[130],"factors":[137],"influencing":[138],"proposed":[143],"model":[146,153],"outperforms":[147],"available":[149],"in":[154],"predicting":[155],"optimum":[157],"mechanical":[162,254],"BFGS":[169],"(the":[170],"Broyden\u2013Fletcher\u2013Goldfarb\u2013Shanno":[171],"algorithm),":[172],"steepest":[173],"descent":[174],"gradient":[176],"scaling":[177],"algorithms":[178],"used.":[180],"efficiency":[183],"was":[184],"checked":[185],"from":[186],"set":[188,211],"20,000":[190],"test":[191,215],"networks":[192],"with":[193],"randomly":[194],"parameters:":[196],"activation":[197],"functions":[198],"(linear,":[199],"logistic,":[200],"tanh,":[201],"exponential":[202],"sine),":[204],"number":[206],"hidden":[208],"neurons,":[209],"percentage":[210],"dataset.":[216],"novelty":[218],"article":[221],"therefore":[223],"use":[225],"methodology":[231],"time,":[239],"under":[240],"specific":[241],"production":[242],"conditions.":[243],"This":[244],"approach":[245],"allows,":[246],"according":[247],"authors,":[250],"most":[259],"advantageous,":[260],"because":[261],"simulation":[263],"results":[264],"suggest":[265],"predictor":[269,275],"can":[270],"be":[271],"used":[272],"system.":[281]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2022-05-22T00:00:00"}