{"id":"https://openalex.org/W2151757648","doi":"https://doi.org/10.1109/coase.2008.4626530","title":"Dynamics and performance modeling of multi-stage manufacturing systems using nonlinear stochastic differential equations","display_name":"Dynamics and performance modeling of multi-stage manufacturing systems using nonlinear stochastic differential equations","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W2151757648","doi":"https://doi.org/10.1109/coase.2008.4626530","mag":"2151757648"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2008.4626530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2008.4626530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091507181","display_name":"Utkarsh Mittal","orcid":"https://orcid.org/0009-0009-4454-1814"},"institutions":[{"id":"https://openalex.org/I118136607","display_name":"General Motors (United States)","ror":"https://ror.org/05addee68","country_code":"US","type":"company","lineage":["https://openalex.org/I118136607"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Utkarsh Mittal","raw_affiliation_strings":["Manufacturing Systems Research Laboratory General Motors Research and Development, Warren, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manufacturing Systems Research Laboratory General Motors Research and Development, Warren, MI, USA","institution_ids":["https://openalex.org/I118136607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062699999","display_name":"Hui Yang","orcid":"https://orcid.org/0000-0001-5997-6823"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Yang","raw_affiliation_strings":["School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064826920","display_name":"Satish Bukkapatnam","orcid":"https://orcid.org/0000-0003-3312-8222"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satish T.S. Bukkapatnam","raw_affiliation_strings":["School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043369073","display_name":"Leandro G. Barajas","orcid":"https://orcid.org/0000-0001-7064-2330"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leandro G. Barajas","raw_affiliation_strings":["School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"498","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9929999709129333,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9929999709129333,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.986299991607666,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9853000044822693,"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/downtime","display_name":"Downtime","score":0.8555270433425903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6086524128913879},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5439257025718689},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5400228500366211},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.5001490116119385},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.4622926414012909},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.41520795226097107},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3740937411785126},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23830446600914001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1131528913974762}],"concepts":[{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.8555270433425903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086524128913879},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5439257025718689},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5400228500366211},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.5001490116119385},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.4622926414012909},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.41520795226097107},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3740937411785126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23830446600914001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1131528913974762},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2008.4626530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2008.4626530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6600000262260437,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1565341533","https://openalex.org/W1977615747","https://openalex.org/W2015147179","https://openalex.org/W2024783600","https://openalex.org/W2024968208","https://openalex.org/W2070028189","https://openalex.org/W2074555382","https://openalex.org/W2089260460","https://openalex.org/W2099593264","https://openalex.org/W2135631942","https://openalex.org/W2146961713","https://openalex.org/W2787717705","https://openalex.org/W3045432724"],"related_works":["https://openalex.org/W2046276983","https://openalex.org/W2954002293","https://openalex.org/W2892741875","https://openalex.org/W2164372000","https://openalex.org/W2078264086","https://openalex.org/W2109143577","https://openalex.org/W2161582432","https://openalex.org/W1972812226","https://openalex.org/W1985537075","https://openalex.org/W2020242364"],"abstract_inverted_index":{"Modern":[0],"manufacturing":[1,28,45,77,92],"enterprises":[2],"have":[3],"invested":[4],"in":[5,49,90,105],"a":[6,31,60,75],"variety":[7],"of":[8,27,130],"sensors":[9],"and":[10,71,83,123],"IT":[11],"infrastructure":[12],"to":[13,24,35,43,63,102,127],"increase":[14],"plant":[15],"floor":[16],"information":[17],"visibility.":[18],"This":[19,57],"offers":[20],"an":[21],"unprecedented":[22],"opportunity":[23],"track":[25],"performances":[26],"systems":[29,93],"from":[30,51,74,117],"dynamic,":[32],"as":[33],"opposed":[34],"static,":[36],"sense.":[37],"Conventional":[38],"static":[39],"models":[40],"are":[41,94],"inadequate":[42],"model":[44,64,110],"system":[46],"performance":[47,66],"variations":[48],"real-time":[50],"these":[52],"large":[53],"non-stationary":[54],"data":[55],"sources.":[56],"paper":[58],"addresses":[59],"physics-based":[61],"approach":[62],"the":[65,106,118],"outputs":[67],"(e.g.,":[68],"throughputs,":[69],"uptimes,":[70],"yield":[72],"rates)":[73],"multi-stage":[76],"system.":[78],"Unlike":[79],"previous":[80],"methods,":[81],"degradation":[82],"repair":[84],"dynamics":[85,129],"that":[86],"influence":[87],"downtime":[88,131],"distributions":[89],"such":[91],"explicitly":[95],"considered.":[96],"Sigmoid":[97],"function":[98],"theory":[99],"is":[100,111,125],"used":[101],"remove":[103],"discontinuities":[104],"models.":[107,139],"The":[108],"resulting":[109],"validated":[112],"using":[113],"real-world":[114],"datasets":[115],"acquired":[116],"General":[119],"Motorpsilas":[120],"assembly":[121],"lines,":[122],"it":[124],"found":[126],"capture":[128],"better":[132],"than":[133],"traditional":[134],"exponential":[135],"distribution":[136],"based":[137],"simulation":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
