{"id":"https://openalex.org/W7164933657","doi":"https://doi.org/10.48550/arxiv.2606.16330","title":"Phase-Aware Guidance Injection for Recurrent MAPPO in Assembly-Line Disruption Recovery","display_name":"Phase-Aware Guidance Injection for Recurrent MAPPO in Assembly-Line Disruption Recovery","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164933657","doi":"https://doi.org/10.48550/arxiv.2606.16330"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.16330","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.16330","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074455169","display_name":"XJ Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138722055","display_name":"Yongcai Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yongcai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047301622","display_name":"F Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Fengyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114111785","display_name":"Zhikun Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Zhikun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100912910","display_name":"Yunjun Han","orcid":"https://orcid.org/0000-0003-1161-4721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Yunjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138701422","display_name":"Naiqi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Naiqi","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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.8108000159263611,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.8108000159263611,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.03530000150203705,"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/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.01940000057220459,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.8962000012397766},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.43549999594688416},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.4156000018119812},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.3702999949455261},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.3377000093460083},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.32679998874664307}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8962000012397766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6377999782562256},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.4156000018119812},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.37220001220703125},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.16330","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.16330","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Disruption":[0],"recovery":[1,24,37,45,100,142],"in":[2],"industrial":[3],"assembly":[4],"lines":[5],"requires":[6],"timely":[7],"decisions":[8],"under":[9,120],"machine":[10],"faults,":[11],"worker":[12],"absence,":[13],"and":[14,48,89,99,123],"emergency":[15],"orders.":[16],"Existing":[17],"methods":[18],"either":[19],"rely":[20],"on":[21,103],"rigid":[22],"handcrafted":[23],"logic":[25],"or":[26],"learn":[27],"adaptive":[28],"policies":[29],"that":[30,64,108,135],"do":[31],"not":[32],"readily":[33],"exploit":[34,140],"heterogeneous":[35,141],"external":[36],"knowledge":[38],"at":[39],"decision":[40],"time":[41,46],"to":[42],"reduce":[43],"abnormal":[44,98],"(ART)":[47],"preserve":[49],"on-time":[50],"delivery":[51],"(OTD).":[52],"To":[53],"address":[54],"this":[55],"gap,":[56],"we":[57],"propose":[58],"a":[59,66,82,104],"phase-aware":[60],"guidance":[61,111,117,126,137],"injection":[62,138],"framework":[63,80],"augments":[65],"trained":[67],"recurrent":[68],"MAPPO":[69],"(RMAPPO)":[70],"scheduling":[71],"policy":[72],"through":[73],"logit-level":[74],"action":[75],"bias":[76],"during":[77,97],"evaluation.":[78],"The":[79],"provides":[81,128],"unified":[83],"decision-time":[84,136],"interface":[85],"for":[86],"rule-based,":[87],"replay-based,":[88],"online":[90,124],"LLM-based":[91],"guidance,":[92],"while":[93],"activating":[94],"intervention":[95],"only":[96],"phases.":[101],"Experiments":[102],"custom":[105],"AssemblyLineEnv":[106],"show":[107,134],"high-quality":[109],"rule":[110],"yields":[112],"the":[113,146],"strongest":[114],"gains,":[115],"replay-based":[116],"degrades":[118],"smoothly":[119],"imperfect":[121],"availability,":[122],"LLM":[125],"still":[127],"useful":[129],"intermediate":[130],"improvements.":[131],"These":[132],"results":[133],"can":[139],"hints":[143],"without":[144],"redesigning":[145],"actor.":[147]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-17T00:00:00"}
