{"id":"https://openalex.org/W4411489545","doi":"https://doi.org/10.1080/00401706.2025.2520849","title":"Optimal Designs for Order-of-Addition Two-Level Factorial Experiments","display_name":"Optimal Designs for Order-of-Addition Two-Level Factorial Experiments","publication_year":2025,"publication_date":"2025-06-20","ids":{"openalex":"https://openalex.org/W4411489545","doi":"https://doi.org/10.1080/00401706.2025.2520849"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2025.2520849","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2025.2520849","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-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/A5070953907","display_name":"Qiang Zhao","orcid":"https://orcid.org/0000-0002-3058-4225"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhao","raw_affiliation_strings":["KLAS and School of Mathematics and Statistics, Northeast Normal University","KLAS and School of Mathematics and Statistics, Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLAS and School of Mathematics and Statistics, Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]},{"raw_affiliation_string":"KLAS and School of Mathematics and Statistics, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050415198","display_name":"Qian Xiao","orcid":"https://orcid.org/0000-0001-7869-7109"},"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":"Qian Xiao","raw_affiliation_strings":["Department of Statistics, School of Mathematical Sciences, Shanghai Jiao Tong University","Department of Statistics, School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, School of Mathematical Sciences, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Statistics, School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084419948","display_name":"Abhyuday Mandal","orcid":"https://orcid.org/0000-0001-9461-1483"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhyuday Mandal","raw_affiliation_strings":["Department of Statistics, University of Georgia","Department of Statistics, University of Georgia, Athens, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Georgia","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"Department of Statistics, University of Georgia, Athens, GA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052243305","display_name":"Fasheng Sun","orcid":"https://orcid.org/0000-0003-2410-4018"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fasheng Sun","raw_affiliation_strings":["KLAS and School of Mathematics and Statistics, Northeast Normal University","KLAS and School of Mathematics and Statistics, Northeast Normal University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLAS and School of Mathematics and Statistics, Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]},{"raw_affiliation_string":"KLAS and School of Mathematics and Statistics, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052243305"],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":null,"apc_paid":null,"fwci":1.4773,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83128765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"67","issue":"4","first_page":"716","last_page":"724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9988999962806702,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9988999962806702,"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/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10670","display_name":"Aluminum Alloy Microstructure Properties","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/factorial-experiment","display_name":"Factorial experiment","score":0.6148539185523987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5747588872909546},{"id":"https://openalex.org/keywords/fractional-factorial-design","display_name":"Fractional factorial design","score":0.5307022929191589},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5263420343399048},{"id":"https://openalex.org/keywords/factorial","display_name":"Factorial","score":0.49670082330703735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4055434465408325},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.0796864926815033},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07068845629692078}],"concepts":[{"id":"https://openalex.org/C169222746","wikidata":"https://www.wikidata.org/wiki/Q4116558","display_name":"Factorial experiment","level":2,"score":0.6148539185523987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5747588872909546},{"id":"https://openalex.org/C16469947","wikidata":"https://www.wikidata.org/wiki/Q2400745","display_name":"Fractional factorial design","level":3,"score":0.5307022929191589},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5263420343399048},{"id":"https://openalex.org/C183763347","wikidata":"https://www.wikidata.org/wiki/Q120976","display_name":"Factorial","level":2,"score":0.49670082330703735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4055434465408325},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0796864926815033},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07068845629692078},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.2025.2520849","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2025.2520849","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2266179857","display_name":null,"funder_award_id":"2024YFA1016200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5164540766","display_name":null,"funder_award_id":"2412023YQ003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6867594143","display_name":null,"funder_award_id":"12371259, 11971098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W594002582","https://openalex.org/W1532653491","https://openalex.org/W1967511653","https://openalex.org/W1977193551","https://openalex.org/W1984809851","https://openalex.org/W1987748140","https://openalex.org/W2011989504","https://openalex.org/W2054085683","https://openalex.org/W2061061337","https://openalex.org/W2064384323","https://openalex.org/W2090342545","https://openalex.org/W2123948245","https://openalex.org/W2168129845","https://openalex.org/W2172119955","https://openalex.org/W2767581383","https://openalex.org/W2786712795","https://openalex.org/W2963539941","https://openalex.org/W3005143689","https://openalex.org/W3006508563","https://openalex.org/W3025983135","https://openalex.org/W3047522539","https://openalex.org/W3098545775","https://openalex.org/W3106337497","https://openalex.org/W3112407459","https://openalex.org/W3176551543","https://openalex.org/W3183334333","https://openalex.org/W3195125248","https://openalex.org/W3211435476","https://openalex.org/W3213989527","https://openalex.org/W4200361663","https://openalex.org/W4249150173","https://openalex.org/W4254201200","https://openalex.org/W4295846637","https://openalex.org/W4319790788","https://openalex.org/W4321614478","https://openalex.org/W4366551364","https://openalex.org/W4385632000","https://openalex.org/W4387828553","https://openalex.org/W4401191633","https://openalex.org/W7048277772"],"related_works":["https://openalex.org/W1590352712","https://openalex.org/W4297784416","https://openalex.org/W1988781812","https://openalex.org/W4230472231","https://openalex.org/W2011415552","https://openalex.org/W1554048027","https://openalex.org/W4254259809","https://openalex.org/W4229861962","https://openalex.org/W4230378348","https://openalex.org/W2007658183"],"abstract_inverted_index":{"A":[0],"new":[1,121],"type":[2,122],"of":[3,28,33,43,49,88,123,152,162],"experiment,":[4,9],"called":[5],"the":[6,26,37,41,56,108,127,132,143,150,160],"order-of-addition":[7,51],"factorial":[8,53],"has":[10,59],"recently":[11,60],"received":[12],"considerable":[13],"attention":[14],"in":[15],"medical":[16],"science":[17],"and":[18,30,155],"bioengineering.":[19],"These":[20],"experiments":[21],"aim":[22],"to":[23,84,102,106,118],"simultaneously":[24],"optimize":[25],"order":[27],"addition":[29],"dose":[31],"levels":[32],"drug":[34],"components.":[35],"In":[36,74],"experimental":[38],"design":[39],"literature,":[40],"concept":[42],"dual-orthogonal":[44],"arrays":[45],"(DOAs),":[46],"a":[47,71,79,120],"class":[48],"optimal":[50,124],"two-level":[52],"designs":[54,125],"under":[55,126],"compound":[57,129],"model,":[58,130],"been":[61],"introduced":[62],"for":[63,142],"such":[64],"experiments.":[65],"However,":[66],"constructing":[67],"flexible":[68],"DOAs":[69,87,154],"remains":[70],"challenging":[72],"task.":[73],"this":[75],"paper,":[76],"we":[77,116],"propose":[78,117],"novel":[80],"theory-guided":[81],"search":[82],"method":[83,98],"efficiently":[85],"identify":[86],"any":[89],"feasible":[90],"size.":[91],"We":[92,136,145],"also":[93],"provide":[94,137],"an":[95],"algebraic":[96,139],"construction":[97,140],"that":[99,111],"immediately":[100],"leads":[101],"certain":[103],"DOAs.":[104],"Moreover,":[105],"address":[107],"potential":[109],"issue":[110],"DOA":[112,134],"ignores":[113],"interaction":[114],"effects,":[115],"construct":[119],"expanded":[128],"named":[131],"strong":[133],"(SDOA).":[135],"two":[138],"methods":[141],"SDOA.":[144],"establish":[146],"theoretical":[147],"results":[148],"on":[149],"optimality":[151],"both":[153],"SDOAs.":[156],"Numerical":[157],"studies":[158],"illustrate":[159],"superiority":[161],"our":[163],"proposed":[164],"designs.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-23T13:55:30.953635","created_date":"2025-10-10T00:00:00"}
