{"id":"https://openalex.org/W2581571117","doi":"https://doi.org/10.1108/ir-03-2016-0098","title":"Improved parameter optimization method for complex assembly process in robotic manufacturing","display_name":"Improved parameter optimization method for complex assembly process in robotic manufacturing","publication_year":2017,"publication_date":"2017-01-16","ids":{"openalex":"https://openalex.org/W2581571117","doi":"https://doi.org/10.1108/ir-03-2016-0098","mag":"2581571117"},"language":"en","primary_location":{"id":"doi:10.1108/ir-03-2016-0098","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-03-2016-0098","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: An International Journal","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/A5101688278","display_name":"Heping Chen","orcid":"https://orcid.org/0000-0002-1045-8977"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heping Chen","raw_affiliation_strings":["Texas State University, San Marcos, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas State University, San Marcos, Texas, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087396510","display_name":"Jing Xu","orcid":"https://orcid.org/0000-0002-2997-2351"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363720","display_name":"Biao Zhang","orcid":"https://orcid.org/0000-0002-4898-2731"},"institutions":[{"id":"https://openalex.org/I4210155257","display_name":"Alstom (United States)","ror":"https://ror.org/0569b7y96","country_code":"US","type":"company","lineage":["https://openalex.org/I36169673","https://openalex.org/I4210155257"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biao Zhang","raw_affiliation_strings":["ABB Inc., Windsor, Connecticut, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ABB Inc., Windsor, Connecticut, USA","institution_ids":["https://openalex.org/I4210155257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069676843","display_name":"Thomas Fuhlbrigge","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155257","display_name":"Alstom (United States)","ror":"https://ror.org/0569b7y96","country_code":"US","type":"company","lineage":["https://openalex.org/I36169673","https://openalex.org/I4210155257"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Fuhlbrigge","raw_affiliation_strings":["ABB Inc., Windsor, Connecticut, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ABB Inc., Windsor, Connecticut, USA","institution_ids":["https://openalex.org/I4210155257"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2652,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92153535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"44","issue":"1","first_page":"21","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9995999932289124,"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/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.9900000095367432,"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/process","display_name":"Process (computing)","score":0.7218149900436401},{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.656449019908905},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5172482132911682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5101462006568909},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.49961018562316895},{"id":"https://openalex.org/keywords/process-variable","display_name":"Process variable","score":0.44452404975891113},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3811444342136383},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3487902879714966},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3406325578689575},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11248862743377686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0967395007610321},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08614733815193176}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.7218149900436401},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.656449019908905},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5172482132911682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5101462006568909},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.49961018562316895},{"id":"https://openalex.org/C93228742","wikidata":"https://www.wikidata.org/wiki/Q7247312","display_name":"Process variable","level":3,"score":0.44452404975891113},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3811444342136383},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3487902879714966},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3406325578689575},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11248862743377686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0967395007610321},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08614733815193176},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ir-03-2016-0098","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-03-2016-0098","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: An International Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307103","display_name":"Ford Motor Company","ror":"https://ror.org/00g2tkw06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W243774661","https://openalex.org/W622321019","https://openalex.org/W1812585516","https://openalex.org/W1983354559","https://openalex.org/W1992524687","https://openalex.org/W2000407777","https://openalex.org/W2017403501","https://openalex.org/W2122036969","https://openalex.org/W2135398081","https://openalex.org/W2136090045","https://openalex.org/W2143075311","https://openalex.org/W2160507822","https://openalex.org/W2342999883"],"related_works":["https://openalex.org/W2015985874","https://openalex.org/W3141422022","https://openalex.org/W1968377643","https://openalex.org/W1995125349","https://openalex.org/W2808477707","https://openalex.org/W2165580205","https://openalex.org/W2557129101","https://openalex.org/W4238251636","https://openalex.org/W3199334303","https://openalex.org/W2801512196"],"abstract_inverted_index":{"Purpose":[0],"High":[1],"precision":[2],"assembly":[3,65,100,161,207,236,257,298],"processes":[4],"using":[5,228,288],"industrial":[6,231],"robots":[7],"require":[8],"the":[9,48,52,67,81,92,106,135,160,164,176,185,195,203,239,256,261,277,286,291,297],"process":[10,93,109,162,280],"parameters":[11,50,137,178],"to":[12,15,36,46,78,90,158,254,274],"be":[13,74,172,182,243],"tuned":[14],"achieve":[16],"desired":[17],"performance":[18],"such":[19,32],"as":[20,33],"cycle":[21,155,204,299],"time":[22,25,205],"and":[23,144,175,226],"first":[24],"through":[26],"rate.":[27],"Some":[28],"researchers":[29],"proposed":[30,196,212,222,273,292],"methods":[31,42,83],"design-of-experiments":[34],"(DOE)":[35],"obtain":[37],"optimal":[38,49,136,177],"parameters.":[39],"However,":[40],"these":[41],"only":[43],"discuss":[44],"how":[45],"find":[47],"if":[51],"part":[53,68,115,147,166,263],"and/or":[54,69,116,148,167],"workpiece":[55,70,117,149,168],"location":[56,71,118,150,169,264],"errors":[57,72,119,151,170],"are":[58,142],"in":[59,179,201,206,246],"a":[60,229,233,252],"certain":[61],"range.":[62],"In":[63,103],"real":[64,230],"processes,":[66],"could":[73],"different":[75,114,139,143],"from":[76],"batch":[77],"batch.":[79],"Therefore,":[80,157],"existing":[82],"have":[84],"some":[85],"limitations.":[86],"This":[87,249],"paper":[88,250],"aims":[89],"improve":[91,159,255],"parameter":[94,107,124,268,278],"optimization":[95,108,125,269,279],"method":[96,126,197,213,241,270],"for":[97,138],"complex":[98],"robotic":[99],"process.":[101,237],"Design/methodology/approach":[102],"this":[104],"paper,":[105],"based":[110],"on":[111],"DOE":[112],"with":[113,285],"is":[120,127,189,198,214,224,271],"investigated.":[121],"An":[122,266],"online":[123,267],"also":[128,272],"proposed.":[129],"Findings":[130],"Experimental":[131,191],"results":[132,192,287],"demonstrate":[133],"that":[134,194],"initial":[140,146,165,186,262],"conditions":[141],"larger":[145],"will":[152],"cause":[153],"longer":[154],"time.":[156,300],"performance,":[163],"should":[171,181],"compensated":[173],"first,":[174],"production":[180],"changed":[183],"once":[184],"tool":[187],"position":[188],"compensated.":[190],"show":[193],"very":[199],"promising":[200],"reducing":[202],"processes.":[208],"Research":[209],"limitations/implications":[210],"The":[211,221],"practical":[215],"without":[216,281],"any":[217],"limitation.":[218],"Practical":[219],"implications":[220],"technique":[223,253],"implemented":[225,245],"tested":[227],"application,":[232],"valve":[234],"body":[235],"Hence,":[238],"developed":[240],"can":[242,294],"directly":[244],"production.":[247],"Originality/value":[248],"provides":[251],"efficiency":[258],"by":[259],"compensating":[260],"errors.":[265],"automatically":[275],"perform":[276],"human":[282],"intervention.":[283],"Compared":[284],"other":[289],"methods,":[290],"technology":[293],"greatly":[295],"reduce":[296]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}