{"id":"https://openalex.org/W4406611608","doi":"https://doi.org/10.1109/wsc63780.2024.10838820","title":"Sensitivity Analysis on Interaction Effects of Policy-Augmented Bayesian Networks","display_name":"Sensitivity Analysis on Interaction Effects of Policy-Augmented Bayesian Networks","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406611608","doi":"https://doi.org/10.1109/wsc63780.2024.10838820"},"language":"en","primary_location":{"id":"doi:10.1109/wsc63780.2024.10838820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","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/A5101728083","display_name":"Junkai Zhao","orcid":"https://orcid.org/0000-0001-9901-4338"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkai Zhao","raw_affiliation_strings":["Antai College of Economics and Management, Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003071055","display_name":"Jun Luo","orcid":"https://orcid.org/0000-0003-4475-2338"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Luo","raw_affiliation_strings":["Antai College of Economics and Management, Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069412360","display_name":"Wei Xie","orcid":"https://orcid.org/0000-0001-9563-4927"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Xie","raw_affiliation_strings":["Northeastern University,Department of Mechanical and Industrial Engineering,Boston,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Mechanical and Industrial Engineering,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010529711","display_name":"Zixuan Bai","orcid":"https://orcid.org/0000-0002-1042-5454"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Bai","raw_affiliation_strings":["Antai College of Economics and Management, Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5224,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69923128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.5996000170707703,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.5996000170707703,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.7880045175552368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6440392732620239},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6202420592308044},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5763230919837952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3742375671863556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35313189029693604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10236707329750061}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.7880045175552368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6440392732620239},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6202420592308044},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5763230919837952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3742375671863556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35313189029693604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10236707329750061},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc63780.2024.10838820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W87152119","https://openalex.org/W2033659692","https://openalex.org/W2050542707","https://openalex.org/W2063575312","https://openalex.org/W2090492278","https://openalex.org/W2149426898","https://openalex.org/W2518039540","https://openalex.org/W2783669865","https://openalex.org/W2784438289","https://openalex.org/W2805456062","https://openalex.org/W2963793058","https://openalex.org/W2969157684","https://openalex.org/W3084211659","https://openalex.org/W3174854297","https://openalex.org/W3191055293","https://openalex.org/W4221163271","https://openalex.org/W4304609413","https://openalex.org/W4391381788","https://openalex.org/W6771688297","https://openalex.org/W6794443145"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Biomanufacturing":[0],"plays":[1],"an":[2],"important":[3],"role":[4],"in":[5,36],"supporting":[6],"public":[7],"health":[8],"and":[9,16,33,113],"the":[10,13,18,43,48,52,60,88,104,108,116],"growth":[11],"of":[12,64],"bioeconomy.":[14],"Modeling":[15],"studying":[17],"interaction":[19,49,73,117],"effects":[20,50,118],"among":[21],"various":[22],"input":[23],"variables":[24],"is":[25],"very":[26],"critical":[27],"for":[28,51],"obtaining":[29],"a":[30,78,93,122],"scientific":[31],"understanding":[32,63],"process":[34],"specification":[35],"biomanufacturing.":[37],"In":[38,68,83],"this":[39],"paper,":[40],"we":[41,76,91],"use":[42],"Shapley-Owen":[44],"indices":[45],"to":[46,70,85,107],"measure":[47],"policy-augmented":[53],"Bayesian":[54],"network":[55],"(PABN)":[56],"model,":[57],"which":[58,100],"characterizes":[59],"risk-and":[61],"science-based":[62],"production":[65],"bioprocess":[66],"mechanisms.":[67],"order":[69],"facilitate":[71],"efficient":[72],"effect":[74],"quantification,":[75],"propose":[77],"sampling-based":[79],"simulation":[80,95,105],"estimation":[81],"framework.":[82],"addition,":[84],"further":[86],"improve":[87],"computational":[89],"efficiency,":[90],"develop":[92],"non-nested":[94],"algorithm":[96],"with":[97,110],"sequential":[98],"sampling,":[99],"can":[101],"dynamically":[102],"allocate":[103],"budget":[106,125],"interactions":[109],"high":[111],"uncertainty":[112],"therefore":[114],"estimate":[115],"more":[119],"accurately":[120],"under":[121],"total":[123],"fixed":[124],"setting.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
