{"id":"https://openalex.org/W2090313711","doi":"https://doi.org/10.1109/coase.2013.6654065","title":"Markov G/G/s model adaptation to factory operational curve though exponential correlation","display_name":"Markov G/G/s model adaptation to factory operational curve though exponential correlation","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2090313711","doi":"https://doi.org/10.1109/coase.2013.6654065","mag":"2090313711"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2013.6654065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2013.6654065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5047218822","display_name":"Sylvain Bouhnik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sylvain Bouhnik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048653427","display_name":"Shalhevet Azran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shalhevet Azran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"730","last_page":"734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9358000159263611,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9358000159263611,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9301999807357788,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9280999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.7215267419815063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4793204069137573},{"id":"https://openalex.org/keywords/nand-gate","display_name":"NAND gate","score":0.45593637228012085},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44414588809013367},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34029871225357056},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3324039578437805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2693905830383301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26928412914276123},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.08184775710105896}],"concepts":[{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.7215267419815063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4793204069137573},{"id":"https://openalex.org/C124296912","wikidata":"https://www.wikidata.org/wiki/Q575178","display_name":"NAND gate","level":3,"score":0.45593637228012085},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44414588809013367},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34029871225357056},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3324039578437805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2693905830383301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26928412914276123},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.08184775710105896},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2013.6654065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2013.6654065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W1924572703"],"related_works":["https://openalex.org/W2384486034","https://openalex.org/W2385875016","https://openalex.org/W2072593933","https://openalex.org/W2376165157","https://openalex.org/W2800677231","https://openalex.org/W2289495474","https://openalex.org/W2325500789","https://openalex.org/W602415246","https://openalex.org/W2622975717","https://openalex.org/W2082018612"],"abstract_inverted_index":{"In":[0,40,116],"the":[1,7,16,70,76,83,111,122],"current":[2],"highly":[3],"competitive":[4],"environment":[5],"of":[6,30,69,131],"NAND":[8],"Flash/NVM/NOR":[9],"flash":[10],"market,":[11],"cycle":[12],"times":[13],"(CT)":[14],"are":[15],"key":[17],"to":[18,56,100],"success.":[19],"CT":[20,52,67,73,106,134],"performance":[21,135],"depends":[22],"on":[23,46,75,128],"process":[24],"time":[25],"reduction,":[26],"tool":[27,32,77,112],"set":[28,66,113],"(group":[29],"similar":[31],"running":[33,136],"same":[34],"operations)":[35],"performance,":[36],"and":[37,142],"WIP":[38],"(Work":[39],"Process)":[41],"management":[42],"policy,":[43],"but":[44],"mainly":[45],"factory":[47,51,102,124,133,152],"(fab)":[48],"loading.":[49],"Understanding":[50],"variability":[53],"is":[54,79,109],"critical":[55],"meet":[57],"customer":[58],"commitments":[59],"while":[60],"maintaining":[61],"optimized":[62],"inventory":[63],"levels.":[64],"Tool":[65],"(sum":[68],"operations":[71],"step":[72],"run":[74],"set)":[78],"usually":[80],"modeled":[81],"by":[82],"P/K":[84],"equation,":[85],"a":[86],"fundamental":[87],"equation":[88,99],"that":[89],"provides":[90],"insights":[91],"into":[92],"what":[93],"affects":[94],"CT.":[95,103],"We":[96],"extended":[97],"this":[98,117],"model":[101],"The":[104,145],"curve":[105,126,147],"vs.":[107],"loading":[108,141],"called":[110],"operational":[114,125,146],"curve.":[115],"paper,":[118],"we":[119],"will":[120],"define":[121],"logarithm":[123],"based":[127],"35":[129],"weeks":[130],"200mm":[132],"at":[137],"65nm,":[138],"during":[139],"variable":[140],"capacity":[143],"change.":[144],"was":[148],"also":[149],"validated":[150],"using":[151],"simulation.":[153]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}