{"id":"https://openalex.org/W4366691084","doi":"https://doi.org/10.1080/0951192x.2023.2204469","title":"An integrated CRN-SVR approach for the quality consistency improvement in a diesel engine assembly process","display_name":"An integrated CRN-SVR approach for the quality consistency improvement in a diesel engine assembly process","publication_year":2023,"publication_date":"2023-04-20","ids":{"openalex":"https://openalex.org/W4366691084","doi":"https://doi.org/10.1080/0951192x.2023.2204469"},"language":"en","primary_location":{"id":"doi:10.1080/0951192x.2023.2204469","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2023.2204469","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","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/A5089900084","display_name":"Yan\u2010Ning Sun","orcid":"https://orcid.org/0000-0003-2835-7346"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan-Ning Sun","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2835-7346","affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059676721","display_name":"Qun-Long Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun-Long Chen","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049920455","display_name":"Jinhua Hu","orcid":"https://orcid.org/0000-0002-6991-4594"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Hua Hu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053751333","display_name":"Hongwei Xu","orcid":"https://orcid.org/0000-0003-4220-5154"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Wei Xu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054830882","display_name":"Wei Qin","orcid":"https://orcid.org/0000-0002-8527-0354"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Qin","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8527-0354","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061768176","display_name":"Xiaoxiao Shen","orcid":"https://orcid.org/0000-0003-1396-8451"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Xiao Shen","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008471674","display_name":"Zilong Zhuang","orcid":"https://orcid.org/0000-0002-3396-2842"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zi-Long Zhuang","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5054830882","https://openalex.org/A5089900084"],"corresponding_institution_ids":["https://openalex.org/I113940042","https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.7655,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.90618832,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"37","issue":"9","first_page":"1126","last_page":"1141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9933000206947327,"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":0.9933000206947327,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9810000061988831,"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/T11729","display_name":"Product Development and Customization","score":0.9469000101089478,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"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":0.688703179359436},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6400456428527832},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6389646530151367},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5840123891830444},{"id":"https://openalex.org/keywords/diesel-engine","display_name":"Diesel engine","score":0.49618345499038696},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46312958002090454},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45414140820503235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32570505142211914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.313592791557312},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18102514743804932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688703179359436},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6400456428527832},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6389646530151367},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5840123891830444},{"id":"https://openalex.org/C2780804531","wikidata":"https://www.wikidata.org/wiki/Q174174","display_name":"Diesel engine","level":2,"score":0.49618345499038696},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46312958002090454},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45414140820503235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32570505142211914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.313592791557312},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18102514743804932},{"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/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0951192x.2023.2204469","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2023.2204469","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W50726752","https://openalex.org/W1978267297","https://openalex.org/W2000107782","https://openalex.org/W2010626297","https://openalex.org/W2056117586","https://openalex.org/W2062159438","https://openalex.org/W2118382442","https://openalex.org/W2127861000","https://openalex.org/W2147881172","https://openalex.org/W2151226328","https://openalex.org/W2165700458","https://openalex.org/W2184727725","https://openalex.org/W2236464453","https://openalex.org/W2263214391","https://openalex.org/W2307009511","https://openalex.org/W2523306342","https://openalex.org/W2599886073","https://openalex.org/W2604829132","https://openalex.org/W2632724101","https://openalex.org/W2749806405","https://openalex.org/W2765296483","https://openalex.org/W2765871399","https://openalex.org/W2781369588","https://openalex.org/W2791771476","https://openalex.org/W2808711325","https://openalex.org/W2887529588","https://openalex.org/W2902502157","https://openalex.org/W2903801375","https://openalex.org/W2915698293","https://openalex.org/W2917310212","https://openalex.org/W2921739322","https://openalex.org/W2945357379","https://openalex.org/W2946396870","https://openalex.org/W2950426297","https://openalex.org/W2954006253","https://openalex.org/W2955751796","https://openalex.org/W2979795810","https://openalex.org/W2990805201","https://openalex.org/W2996267295","https://openalex.org/W2999735491","https://openalex.org/W3002196107","https://openalex.org/W3008947524","https://openalex.org/W3037764089","https://openalex.org/W3085628920","https://openalex.org/W3091690908","https://openalex.org/W3107873213","https://openalex.org/W3109682968","https://openalex.org/W3132606128","https://openalex.org/W3133919047","https://openalex.org/W3135333135","https://openalex.org/W3151361239","https://openalex.org/W3156924792","https://openalex.org/W3165938138","https://openalex.org/W3202164373","https://openalex.org/W4220882908","https://openalex.org/W4221023955","https://openalex.org/W4234423522","https://openalex.org/W4255415875","https://openalex.org/W4283019575","https://openalex.org/W4297903288"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W1986582023","https://openalex.org/W2966829450"],"abstract_inverted_index":{"ABSTRACTAs":[0],"the":[1,5,13,21,42,95,98,101,115,126,130,133,142,145,148,154,167,171,183,193,201,213,267,277,292,299],"last":[2],"production":[3],"link,":[4],"diesel":[6,17],"engine":[7,18],"assembly":[8,242],"process":[9,265],"(DEAP)":[10],"significantly":[11],"impacts":[12],"quality":[14,22,51,75,173,231],"consistency":[15,23,76,232,244],"of":[16,25,114,144,156,170,195,221,263,272,276,280,287,306],"products.":[19],"Therefore,":[20],"improvement":[24,233,245],"DEAP":[26,46,59,211],"has":[27],"become":[28],"an":[29,69,159],"urgent":[30],"problem":[31],"for":[32,73,93,192,230,256],"academia":[33],"and":[34,47,66,119,206,212,227,266,270,274,303],"industry.":[35],"The":[36,219],"challenge":[37],"is":[38,91,105,138,163,204,216],"how":[39],"to":[40,57,67,140,165,251],"mine":[41],"causal":[43,62,136],"relationship":[44,63,103,150],"in":[45,147,175,208,234],"establish":[48],"a":[49,61,86,108,189,209,260],"reliable":[50],"prediction":[52],"model.":[53],"This":[54],"paper":[55],"attempts":[56],"describe":[58],"using":[60],"network":[64,104,120],"(CRN)":[65],"provide":[68,224],"effective":[70],"data-based":[71],"scheme":[72],"improving":[74],"by":[77,107,291,298],"integrating":[78],"CRN":[79,88,155],"with":[80,259],"support":[81,226],"vector":[82],"regression":[83],"(SVR).":[84],"First,":[85],"two-step":[87],"learning":[89,198],"method":[90,113],"proposed":[92,164,202],"describing":[94],"DEAP.":[96,157],"In":[97,129],"first":[99],"step,":[100,132],"association":[102,111,149],"developed":[106],"hybrid":[109],"direct":[110],"detection":[112],"maximal":[116],"information":[117,134],"coefficient":[118],"deconvolution,":[121],"which":[122,177],"can":[123],"accurately":[124],"measure":[125],"data":[127,238],"relations.":[128],"second":[131],"geometric":[135],"inference":[137],"employed":[139],"determine":[141],"direction":[143],"edges":[146],"network,":[151],"thus":[152],"forming":[153],"Then,":[158],"integrated":[160,178],"CRN-SVR":[161],"approach":[162,203],"realize":[166],"predictive":[168],"modeling":[169],"critical":[172],"indicators":[174],"DEAP,":[176],"SVR":[179],"into":[180],"CRN.":[181],"At":[182],"same":[184],"time,":[185],"it":[186],"also":[187,249],"provides":[188],"feasible":[190],"idea":[191],"interpretability":[194],"existing":[196],"machine":[197],"techniques.":[199],"Finally,":[200],"tested":[205],"verified":[207],"real-world":[210],"obtained":[214],"RMSE":[215],"only":[217],"0.033.":[218],"results":[220],"this":[222],"study":[223],"theoretical":[225],"technical":[228],"guarantee":[229],"DEAP.KEYWORDS:":[235],"Intelligent":[236],"manufacturingbig":[237],"analyticsmachine":[239],"intelligencediesel":[240],"enginecomplex":[241],"processquality":[243],"AcknowledgementsThe":[246],"authors":[247],"would":[248],"like":[250],"thank":[252],"Foxconn":[253],"Technology":[254],"Group":[255],"providing":[257],"us":[258],"historical":[261],"dataset":[262],"IM":[264],"valuable":[268],"suggestions":[269],"comments":[271],"Editors":[273],"Reviewers":[275],"International":[278],"Journal":[279],"Computer":[281],"Integrated":[282],"Manufacturing.Disclosure":[283],"statementNo":[284],"potential":[285],"conflict":[286],"interest":[288],"was":[289,296],"reported":[290],"authors.Additional":[293],"informationFundingThe":[294],"work":[295],"supported":[297],"National":[300],"Key":[301],"Research":[302],"Development":[304],"Program":[305],"China":[307],"[2021YFB3300503].":[308]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}