{"id":"https://openalex.org/W4253991457","doi":"https://doi.org/10.1109/wsc.2010.5679157","title":"A tutorial on concepts and measures of manufacturing processes dependence","display_name":"A tutorial on concepts and measures of manufacturing processes dependence","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W4253991457","doi":"https://doi.org/10.1109/wsc.2010.5679157"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2010.5679157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2010.5679157","pdf_url":null,"source":{"id":"https://openalex.org/S4363608948","display_name":"Proceedings of the 2010 Winter Simulation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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 2010 Winter Simulation Conference","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/A5100993986","display_name":"Roberto F. Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Roberto F. Lu","raw_affiliation_strings":["Boeing Aerospace Company, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Boeing Aerospace Company, Seattle, WA, USA","institution_ids":["https://openalex.org/I1295339012"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100439348","display_name":"Shuguang Song","orcid":"https://orcid.org/0000-0002-0595-7691"},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuguang Song","raw_affiliation_strings":["Boeing Aerospace Company, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Boeing Aerospace Company, Seattle, WA, USA","institution_ids":["https://openalex.org/I1295339012"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100993986"],"corresponding_institution_ids":["https://openalex.org/I1295339012"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74561404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"254","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6852145195007324},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6453030705451965},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6402689218521118},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6057696342468262},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4771789312362671},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.42476707696914673},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4239211976528168},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36703693866729736},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.33416175842285156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2152855098247528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19362476468086243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14956051111221313},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13358941674232483},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1201719343662262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852145195007324},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6453030705451965},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6402689218521118},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6057696342468262},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4771789312362671},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.42476707696914673},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4239211976528168},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36703693866729736},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.33416175842285156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2152855098247528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19362476468086243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14956051111221313},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13358941674232483},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1201719343662262},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2010.5679157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2010.5679157","pdf_url":null,"source":{"id":"https://openalex.org/S4363608948","display_name":"Proceedings of the 2010 Winter Simulation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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 2010 Winter Simulation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1525977639","https://openalex.org/W1565038521","https://openalex.org/W1966163331","https://openalex.org/W1985514943","https://openalex.org/W1986259806","https://openalex.org/W1987067784","https://openalex.org/W1988987611","https://openalex.org/W1990368229","https://openalex.org/W1992101211","https://openalex.org/W2013002076","https://openalex.org/W2013264746","https://openalex.org/W2015008451","https://openalex.org/W2018582985","https://openalex.org/W2019794771","https://openalex.org/W2023166574","https://openalex.org/W2044233129","https://openalex.org/W2048580686","https://openalex.org/W2054957279","https://openalex.org/W2073358091","https://openalex.org/W2076983043","https://openalex.org/W2081110846","https://openalex.org/W2083082085","https://openalex.org/W2084629560","https://openalex.org/W2507039649","https://openalex.org/W2800423704","https://openalex.org/W3021047884","https://openalex.org/W3106889297","https://openalex.org/W4241861175","https://openalex.org/W4250908292","https://openalex.org/W4300697982","https://openalex.org/W6633761067","https://openalex.org/W6681166297"],"related_works":["https://openalex.org/W4386799044","https://openalex.org/W2773208253","https://openalex.org/W1721599012","https://openalex.org/W2560646951","https://openalex.org/W2901858382","https://openalex.org/W4297454206","https://openalex.org/W65104662","https://openalex.org/W1871748041","https://openalex.org/W2362286668","https://openalex.org/W2028211458"],"abstract_inverted_index":{"In":[0,86],"a":[1,8,143],"large-scale":[2],"production":[3,140],"system":[4],"such":[5],"as":[6,142],"building":[7],"Boeing":[9,138],"777":[10,139],"airplane,":[11],"there":[12],"are":[13,37],"more":[14],"than":[15],"ten":[16],"thousand":[17],"jobs.":[18],"The":[19],"interdependence":[20],"structure":[21],"among":[22,48],"jobs":[23,32,51],"and":[24,65,76,81,97,108],"some":[25],"jobs'":[26],"delay's":[27],"influence":[28],"on":[29,90],"the":[30,42,56,131],"other":[31],"in":[33,134],"different":[34],"manufacturing":[35],"areas":[36],"critical":[38],"information":[39],"to":[40,61,66,74,121,137],"understand":[41],"status":[43],"of":[44,50,59,83,92,100],"their":[45,68],"area.":[46],"Relationship":[47],"groups":[49],"may":[52],"help":[53],"us":[54],"find":[55],"root":[57],"cause":[58],"problems,":[60],"estimate":[62],"resource":[63],"planning":[64],"prioritize":[67],"tasks.":[69],"This":[70],"tutorial":[71,136],"is":[72],"intended":[73],"review":[75],"introduce":[77],"commonly":[78],"used":[79],"concepts":[80],"measures":[82,99],"stochastic":[84],"dependence.":[85,102],"particular,":[87],"we":[88,129],"focus":[89],"concept":[91],"positive":[93],"quadrant":[94],"dependence,":[95],"global":[96],"local":[98],"bivariate":[101],"Some":[103],"categorical":[104],"data":[105],"analysis":[106],"techniques":[107,117],"probabilistic":[109],"models":[110],"will":[111,118],"also":[112],"be":[113,119],"presented.":[114],"Monte-Carlo":[115],"simulation":[116],"introduced":[120],"provide":[122],"confidence":[123],"intervals":[124],"for":[125],"estimated":[126],"measures.":[127],"Finally,":[128],"apply":[130],"statistical":[132],"methods":[133],"this":[135],"processes":[141],"case":[144],"study.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
