{"id":"https://openalex.org/W2159886579","doi":"https://doi.org/10.1109/wsc.2003.1261607","title":"Semiconductor supply network simulation","display_name":"Semiconductor supply network simulation","publication_year":2004,"publication_date":"2004-08-23","ids":{"openalex":"https://openalex.org/W2159886579","doi":"https://doi.org/10.1109/wsc.2003.1261607","mag":"2159886579"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2003.1261607","doi":"https://doi.org/10.1109/wsc.2003.1261607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261607","pdf_url":null,"source":{"id":"https://openalex.org/S4306419646","display_name":"International Conference on Machine Learning and Cybernetics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},"volume":null,"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/A5081198236","display_name":"Gary W. Godding","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G.W. Godding","raw_affiliation_strings":["Component Automation Systems, Intel Corporation, Chandler, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Component Automation Systems, Intel Corporation, Chandler, AZ, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053876673","display_name":"Hessam Seyed Sarjoughian","orcid":"https://orcid.org/0000-0002-1326-9485","observed_orcids":["https://orcid.org/0000-0002-1326-9485"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H.S. Sarjoughian","raw_affiliation_strings":["Arizona Center for Integrative Modeling & Simulation, Computer Science & Engineering Department, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona Center for Integrative Modeling & Simulation, Computer Science & Engineering Department, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019212796","display_name":"Karl G. Kempf","orcid":"https://orcid.org/0000-0001-9860-5419","observed_orcids":["https://orcid.org/0000-0001-9860-5419"]},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K.G. Kempf","raw_affiliation_strings":["Decision Technologies, Intel Corporation, Chandler, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Decision Technologies, Intel Corporation, Chandler, AZ, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8252,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95080155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":null,"first_page":"1593","last_page":"1601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.3393999934196472,"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"}},"topics":[{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.3393999934196472,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.2621999979019165,"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/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.13500000536441803,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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/supply-chain-simulation","display_name":"supply chain simulation","score":0.859000027179718},{"id":"https://openalex.org/keywords/decision-policies","display_name":"decision policies","score":0.4020000100135803},{"id":"https://openalex.org/keywords/data-synchronization","display_name":"data synchronization","score":0.5830000042915344},{"id":"https://openalex.org/keywords/model-abstraction","display_name":"model abstraction","score":0.4050000011920929}],"concepts":[{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.7866847515106201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720902323722839},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5986334681510925},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5965389609336853},{"id":"https://openalex.org/C2780579389","wikidata":"https://www.wikidata.org/wiki/Q17083991","display_name":"Supply network","level":3,"score":0.45420050621032715},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45363906025886536},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.43980515003204346},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.43714290857315063},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3357144594192505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17634472250938416},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1288089156150818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12114217877388},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08219900727272034},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2003.1261607","doi":"https://doi.org/10.1109/wsc.2003.1261607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261607","pdf_url":null,"source":{"id":"https://openalex.org/S4306419646","display_name":"International Conference on Machine Learning and Cybernetics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1.4554","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.4554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-cs.org/wsc03papers/202.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.7207000255584717}],"study_designs":[],"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":7,"referenced_works":["https://openalex.org/W2001598892","https://openalex.org/W2095501498","https://openalex.org/W2111657470","https://openalex.org/W2115721093","https://openalex.org/W2151841521","https://openalex.org/W2491811284","https://openalex.org/W6723003947"],"related_works":["https://openalex.org/W2022171253","https://openalex.org/W2132686492","https://openalex.org/W4308571444","https://openalex.org/W4231133034","https://openalex.org/W2333288399","https://openalex.org/W7100243208","https://openalex.org/W2163862506","https://openalex.org/W4232403579","https://openalex.org/W2939594833","https://openalex.org/W4253023139"],"abstract_inverted_index":{"More":[0],"efficient":[1],"and":[2,17,31,70,75,79],"effective":[3],"control":[4,22],"of":[5,12,25,28,45,58,64],"supply":[6],"networks":[7],"is":[8,67],"conservatively":[9],"worth":[10],"billions":[11],"dollars":[13],"to":[14],"the":[15,55,62],"national":[16],"world":[18],"economy.":[19],"Developing":[20],"improved":[21],"requires":[23],"simulation":[24],"physical":[26],"flows":[27,47],"materials":[29],"involved":[30],"decision":[32],"policies":[33],"governing":[34],"these":[35,46],"flows.":[36],"We":[37,60],"describe":[38,76],"our":[39,77],"initial":[40],"work":[41],"on":[42],"modelling":[43],"each":[44],"as":[48,50],"well":[49],"simulating":[51],"their":[52],"integration":[53],"through":[54],"synchronized":[56],"interchange":[57],"data.":[59],"show":[61],"level":[63],"abstraction":[65],"that":[66],"appropriate,":[68],"formulate":[69],"test":[71],"a":[72],"representative":[73],"model,":[74],"findings":[78],"conclusions.":[80]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}