{"id":"https://openalex.org/W7166049418","doi":"https://doi.org/10.1080/27525783.2026.2690864","title":"Spatiotemporal dual dimensional disturbance perception and Bayesian quantitative assessment method for flexible job shop scheduling","display_name":"Spatiotemporal dual dimensional disturbance perception and Bayesian quantitative assessment method for flexible job shop scheduling","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166049418","doi":"https://doi.org/10.1080/27525783.2026.2690864"},"language":"en","primary_location":{"id":"doi:10.1080/27525783.2026.2690864","doi":"https://doi.org/10.1080/27525783.2026.2690864","is_oa":true,"landing_page_url":"https://doi.org/10.1080/27525783.2026.2690864","pdf_url":null,"source":{"id":"https://openalex.org/S4210238617","display_name":"Digital Twin","issn_l":"2752-5783","issn":["2752-5783"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320357","host_organization_name":"Faculty of 1000","host_organization_lineage":["https://openalex.org/P4310320357","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Faculty of 1000","Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Twin","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1080/27525783.2026.2690864","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089650383","display_name":"Yingying Zhu","orcid":"https://orcid.org/0000-0003-0271-2549","observed_orcids":["https://orcid.org/0000-0003-0271-2549"]},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Zhu","raw_affiliation_strings":["College of Mechanical & Power Engineering, China Three Gorges University","Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical & Power Engineering, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139453444","display_name":"Bingchen Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingchen Zhang","raw_affiliation_strings":["College of Mechanical & Power Engineering, China Three Gorges University","Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical & Power Engineering, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032925806","display_name":"Ronghua Meng","orcid":"https://orcid.org/0000-0003-0136-1505","observed_orcids":["https://orcid.org/0000-0003-0136-1505"]},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ronghua Meng","raw_affiliation_strings":["College of Mechanical & Power Engineering, China Three Gorges University","Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical & Power Engineering, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139461306","display_name":"Honglong Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglong Zhang","raw_affiliation_strings":["College of Mechanical & Power Engineering, China Three Gorges University","Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical & Power Engineering, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041238939","display_name":"Siwei Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Huang","raw_affiliation_strings":["College of Mechanical & Power Engineering, China Three Gorges University","Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical & Power Engineering, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139450131","display_name":"Nengzhiwei Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nengzhiwei Chen","raw_affiliation_strings":["College of Mechanical & Power Engineering, China Three Gorges University","Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical & Power Engineering, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139438452","display_name":"Jin Gao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Gao","raw_affiliation_strings":["College of Mechanical & Power Engineering, China Three Gorges University","Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical & Power Engineering, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Yichang Key Laboratory of Robotics and Intelligent Systems, China Three Gorges University","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008419536","display_name":"Chengxin Luo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengxin Luo","raw_affiliation_strings":["Hubei Key Laboratory of Basin Water Security"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Basin Water Security","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032925806"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45162646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9937000274658203,"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":0.9937000274658203,"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/T10763","display_name":"Digital Transformation in Industry","score":0.0020000000949949026,"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/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.0006000000284984708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flexible-job-shop-scheduling","display_name":"flexible job shop scheduling","score":0.9990000128746033},{"id":"https://openalex.org/keywords/bayesian-networks","display_name":"Bayesian networks","score":0.6489999890327454},{"id":"https://openalex.org/keywords/cascade-propagation","display_name":"cascade propagation","score":0.6010000109672546},{"id":"https://openalex.org/keywords/machine-failures","display_name":"machine breakdowns","score":0.7369999885559082},{"id":"https://openalex.org/keywords/processing-time-variation","display_name":"processing time variation","score":0.6499999761581421},{"id":"https://openalex.org/keywords/smart-manufacturing","display_name":"smart manufacturing","score":0.6880000233650208},{"id":"https://openalex.org/keywords/robust-scheduling","display_name":"robust scheduling","score":0.4880000054836273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194999814033508},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5169000029563904},{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.43209999799728394},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3880999982357025},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.3781000077724457},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.33869999647140503},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.3278000056743622},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3100000023841858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30640000104904175},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26579999923706055},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2623000144958496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/27525783.2026.2690864","doi":"https://doi.org/10.1080/27525783.2026.2690864","is_oa":true,"landing_page_url":"https://doi.org/10.1080/27525783.2026.2690864","pdf_url":null,"source":{"id":"https://openalex.org/S4210238617","display_name":"Digital Twin","issn_l":"2752-5783","issn":["2752-5783"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320357","host_organization_name":"Faculty of 1000","host_organization_lineage":["https://openalex.org/P4310320357","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Faculty of 1000","Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Twin","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/27525783.2026.2690864","doi":"https://doi.org/10.1080/27525783.2026.2690864","is_oa":true,"landing_page_url":"https://doi.org/10.1080/27525783.2026.2690864","pdf_url":null,"source":{"id":"https://openalex.org/S4210238617","display_name":"Digital Twin","issn_l":"2752-5783","issn":["2752-5783"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320357","host_organization_name":"Faculty of 1000","host_organization_lineage":["https://openalex.org/P4310320357","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Faculty of 1000","Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Twin","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9"}],"sustainable_development_goals_aurora":[{"display_name":"Decent work and economic growth","score":0.7268515229225159,"id":"https://metadata.un.org/sdg/8"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W4282946405","https://openalex.org/W4288940896","https://openalex.org/W4318301887","https://openalex.org/W4368232742","https://openalex.org/W4376481101","https://openalex.org/W4383199442","https://openalex.org/W4385431481","https://openalex.org/W4385657787","https://openalex.org/W4385779370","https://openalex.org/W4387592487","https://openalex.org/W4390110432","https://openalex.org/W4391454508","https://openalex.org/W4392346451","https://openalex.org/W4395682304","https://openalex.org/W4396650681","https://openalex.org/W4403755668","https://openalex.org/W4405232692","https://openalex.org/W4410064529","https://openalex.org/W4410197948","https://openalex.org/W4410641678","https://openalex.org/W4410701669","https://openalex.org/W4411048437","https://openalex.org/W4411220502","https://openalex.org/W4413021452","https://openalex.org/W4415092913","https://openalex.org/W4415115599","https://openalex.org/W4416833589","https://openalex.org/W6921789971","https://openalex.org/W6921924727","https://openalex.org/W7110953470","https://openalex.org/W7115012718"],"related_works":[],"abstract_inverted_index":{"Flexible":[0],"job":[1],"shops":[2],"are":[3,89],"highly":[4],"vulnerable":[5],"to":[6,25,32,79,91],"stochastic":[7],"disturbances,":[8],"including":[9],"machine":[10,77],"breakdowns,":[11],"rework,":[12],"processing":[13],"time":[14],"variations,":[15],"and":[16,76,106,132],"rush":[17],"orders,":[18],"while":[19],"traditional":[20],"robust":[21],"scheduling":[22],"often":[23],"leads":[24],"conservatism":[26],"or":[27],"instability.":[28],"Existing":[29],"models":[30],"struggle":[31],"quantify":[33],"how":[34],"local":[35],"anomalies":[36],"propagate":[37],"nonlinearly":[38],"across":[39],"the":[40,60,63,70,107,126],"system.":[41],"This":[42],"paper":[43],"presents":[44],"a":[45,51,55,117],"system-level":[46,130],"disturbance":[47,99],"perception":[48,131],"approach":[49],"combining":[50],"digital":[52,86],"twin":[53,87],"with":[54],"two-layer":[56],"Bayesian":[57],"network.":[58],"At":[59],"process":[61],"level,":[62,72],"network":[64],"captures":[65],"single-operation":[66],"delay":[67],"probabilities;":[68],"at":[69],"system":[71],"it":[73],"maps":[74],"operations":[75],"constraints":[78],"simulate":[80],"cascade":[81],"propagation.":[82],"Large-sample":[83],"data":[84],"from":[85],"simulations":[88,123],"Discretised":[90],"objectively":[92],"assign":[93],"conditional":[94],"probability":[95],"tables.":[96],"A":[97],"spatiotemporal":[98],"index":[100],"evaluates":[101],"both":[102],"critical":[103],"operation":[104],"delays":[105],"number":[108],"of":[109],"affected":[110],"downstream":[111],"operations,":[112],"condensing":[113],"complex":[114],"disturbances":[115],"into":[116],"unified":[118],"metric":[119],"[0,":[120],"1].":[121],"Multi-scenario":[122],"show":[124],"that":[125],"method":[127],"enables":[128],"comprehensive":[129],"provides":[133],"dynamic":[134],"thresholds":[135],"for":[136],"rescheduling":[137],"in":[138],"intelligent":[139],"manufacturing.":[140]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2026-06-27T00:00:00"}
