{"id":"https://openalex.org/W2121915366","doi":"https://doi.org/10.1109/wsc.2003.1261542","title":"Deterministic and stochastic dynamic modeling of continuous manufacturing systems using analogies to electrical systems","display_name":"Deterministic and stochastic dynamic modeling of continuous manufacturing systems using analogies to electrical systems","publication_year":2004,"publication_date":"2004-08-23","ids":{"openalex":"https://openalex.org/W2121915366","doi":"https://doi.org/10.1109/wsc.2003.1261542","mag":"2121915366"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2003.1261542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)","raw_type":"proceedings-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/A5089825566","display_name":"Bashar H. Sader","orcid":null},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"B.H. Sader","raw_affiliation_strings":["Mechanical Engineering Department, Brigham Young University, Provo, UT, USA","Dept. of Mech. Eng., Brigham Young Univ., Provo, UT, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering Department, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]},{"raw_affiliation_string":"Dept. of Mech. Eng., Brigham Young Univ., Provo, UT, USA#TAB#","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070739060","display_name":"Carl D. Sorensen","orcid":"https://orcid.org/0000-0002-9145-9241"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.D. Sorensen","raw_affiliation_strings":["Mechanical Engineering Department, Brigham Young University, Provo, UT, USA","Dept. of Mech. Eng., Brigham Young Univ., Provo, UT, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering Department, Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]},{"raw_affiliation_string":"Dept. of Mech. Eng., Brigham Young Univ., Provo, UT, USA#TAB#","institution_ids":["https://openalex.org/I100005738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089825566"],"corresponding_institution_ids":["https://openalex.org/I100005738"],"apc_list":null,"apc_paid":null,"fwci":0.8743,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77755972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1134","last_page":"1142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11810","display_name":"Complex Systems and Decision Making","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11810","display_name":"Complex Systems and Decision Making","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12000","display_name":"Systems Engineering Methodologies and Applications","score":0.9434999823570251,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7044582366943359},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.5884316563606262},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.5790175795555115},{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.5149834752082825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5119377374649048},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4974367916584015},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.47343945503234863},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4644268751144409},{"id":"https://openalex.org/keywords/discrete-event-simulation","display_name":"Discrete event simulation","score":0.4549536108970642},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.343050479888916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30838263034820557},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20638281106948853},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.19358691573143005},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16752636432647705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13670244812965393}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7044582366943359},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.5884316563606262},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.5790175795555115},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.5149834752082825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5119377374649048},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4974367916584015},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.47343945503234863},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4644268751144409},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.4549536108970642},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.343050479888916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30838263034820557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20638281106948853},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.19358691573143005},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16752636432647705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13670244812965393},{"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/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2003.1261542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1970868566","https://openalex.org/W2098914309","https://openalex.org/W2112212734","https://openalex.org/W2112651128"],"related_works":["https://openalex.org/W1995427843","https://openalex.org/W2042280983","https://openalex.org/W2888652631","https://openalex.org/W2321888438","https://openalex.org/W2369445029","https://openalex.org/W2026456043","https://openalex.org/W4320063126","https://openalex.org/W2417662900","https://openalex.org/W1987284827","https://openalex.org/W4312526853"],"abstract_inverted_index":{"A":[0],"dynamic":[1],"system":[2],"model":[3,18,23,30,53,63],"of":[4,45,82],"continuous":[5,46,71],"manufacturing":[6,47,72],"systems":[7],"has":[8,19],"been":[9],"developed":[10],"based":[11],"on":[12],"analogies":[13],"with":[14],"electrical":[15],"systems.":[16,28,48],"This":[17],"the":[20,39,52,83,101,108,125],"capability":[21],"to":[22,36,57,68,88],"both":[24,38,75,123],"deterministic":[25,76],"and":[26,42,77],"stochastic":[27,50,78,84],"The":[29,62,80],"provides":[31],"physically":[32],"meaningful":[33],"governing":[34],"equations":[35],"describe":[37],"steady":[40],"state":[41],"transient":[43],"responses":[44],"For":[49,105,113],"solutions,":[51],"is":[54,64,110,116,128],"not":[55],"limited":[56],"any":[58],"specific":[59],"probabilistic":[60],"distribution.":[61],"demonstrated":[65],"by":[66],"application":[67],"a":[69,91,97,117,130],"representative":[70],"line":[73],"for":[74],"cases.":[79],"results":[81],"case":[85],"are":[86],"compared":[87],"those":[89],"from":[90],"discrete":[92],"event":[93],"simulation":[94],"tool":[95],"using":[96],"paired":[98],"t-test":[99],"at":[100],"95%":[102],"confidence":[103],"level.":[104],"some":[106],"results,":[107],"difference":[109,127],"statistically":[111,118],"insignificant.":[112],"others,":[114],"there":[115],"significant":[119],"difference.":[120],"However,":[121],"in":[122],"cases":[124],"percentage":[126],"within":[129],"reasonable":[131],"range.":[132]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2025-10-10T00:00:00"}