{"id":"https://openalex.org/W4411984361","doi":"https://doi.org/10.1051/ro/2025092","title":"Optimizing two-agent single-machine parallel batch scheduling: achieving pareto efficiency in makespan and maximum cost objectives","display_name":"Optimizing two-agent single-machine parallel batch scheduling: achieving pareto efficiency in makespan and maximum cost objectives","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W4411984361","doi":"https://doi.org/10.1051/ro/2025092"},"language":"en","primary_location":{"id":"doi:10.1051/ro/2025092","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2025092","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1051/ro/2025092","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shuguang Li","orcid":"https://orcid.org/0000-0001-9017-7827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuguang Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9017-7827","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Wei","orcid":"https://orcid.org/0009-0001-9324-8923"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Wei","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0001-9324-8923","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Sun","orcid":"https://orcid.org/0009-0009-6431-2330"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Sun","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0009-6431-2330","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5118803926","display_name":"Armand Jean Noel Irangabiye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Armand Jean Noel Irangabiye","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0618-8326","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20350814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"4","first_page":"2219","last_page":"2240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9973000288009644,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9754999876022339,"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/job-shop-scheduling","display_name":"Job shop scheduling","score":0.7810742259025574},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.6628096699714661},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5893568396568298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.587099552154541},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5644612312316895},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5527881979942322},{"id":"https://openalex.org/keywords/pareto-efficiency","display_name":"Pareto efficiency","score":0.46174246072769165},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.42998746037483215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20913287997245789},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.06813624501228333}],"concepts":[{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.7810742259025574},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.6628096699714661},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5893568396568298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.587099552154541},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5644612312316895},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5527881979942322},{"id":"https://openalex.org/C2778599509","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto efficiency","level":3,"score":0.46174246072769165},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.42998746037483215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20913287997245789},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.06813624501228333},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1051/ro/2025092","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2025092","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1051/ro/2025092","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2025092","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1647471521","display_name":null,"funder_award_id":"ZR2020MA030","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1488422606","https://openalex.org/W1967173449","https://openalex.org/W2008118316","https://openalex.org/W2018793254","https://openalex.org/W2065021669","https://openalex.org/W2084103258","https://openalex.org/W2111001493","https://openalex.org/W2115299891","https://openalex.org/W2133249969","https://openalex.org/W2136186989","https://openalex.org/W2155047985","https://openalex.org/W2886143600","https://openalex.org/W2957809229","https://openalex.org/W2966360235","https://openalex.org/W2996340976","https://openalex.org/W3175546025","https://openalex.org/W3205639974","https://openalex.org/W4205878546","https://openalex.org/W4211017838","https://openalex.org/W4220903048","https://openalex.org/W4236796530","https://openalex.org/W4295836056","https://openalex.org/W4309777703"],"related_works":["https://openalex.org/W3032731072","https://openalex.org/W2481628805","https://openalex.org/W4367396453","https://openalex.org/W1963790170","https://openalex.org/W4237197131","https://openalex.org/W2073298047","https://openalex.org/W317165722","https://openalex.org/W1966444509","https://openalex.org/W2051213170","https://openalex.org/W3121673174"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"a":[3,64,72],"single-machine":[4],"parallel":[5,55],"batch":[6,56,80],"scheduling":[7],"problem":[8],"involving":[9],"n":[10,47,50,104,116,119,133,152,155,158,186,189,192,194,197],"jobs":[11,52,68,91,141,175],"managed":[12],"by":[13,83],"two":[14],"agents.":[15],"The":[16,54,74,204],"goal":[17],"is":[18,81,124,163,202],"to":[19,61,93],"achieve":[20],"simultaneous":[21],"minimization":[22],"of":[23,66,142,176],"the":[24,30,59,78,84,89,98,127,166,207,215,225,230,233,241,249],"makespan":[25],"for":[26,33,77,206,232,254],"agent":[27,34,143,177],"A":[28,43,48,117,153,156,187,190,193],"and":[29,44,49,214,240],"maximum":[31,65],"cost":[32],"B":[35,45,51,120,144,159,178,195,198],".":[36],"Both":[37],"agents":[38,42],"operate":[39],"independently,":[40],"with":[41,106,135,169,210,218,236,244],"handling":[46],"respectively.":[53],"machine":[57],"has":[58],"capability":[60],"concurrently":[62],"handle":[63],"b":[67,102,131],"grouped":[69],"together":[70],"as":[71],"batch.":[73,96],"processing":[75,86,147,181],"time":[76,87,252],"entire":[79],"determined":[82],"longest":[85],"among":[88],"individual":[90],"assigned":[92],"that":[94],"particular":[95],"For":[97,126,165],"unbounded":[99,208,234],"version":[100,129,168,209,217,235,243],"(":[101,115,130,151,185],"\u2265":[103],")":[105,134],"either":[107],"incompatible":[108,136,211,245],"or":[109,223],"compatible":[110,170,219,237],"job":[111,137,171,212,220,238,246],"groups,":[112,138,172],"an":[113,149,183],"O":[114,150,184],"+":[118,157,191,196],"4":[121],")-time":[122,161,200],"algorithm":[123,162,201],"presented.":[125,164,203],"bounded":[128,167,216,242],"&lt;":[132],"when":[139,173],"all":[140,174],"share":[145,179],"identical":[146,180],"times,":[148,182],"log":[154,188],"2":[160],"3":[199],"algorithms":[205,231,253],"groups":[213,221,239,247],"generalize":[222],"improve":[224],"previously":[226],"known":[227],"algorithms,":[228],"while":[229],"are":[248],"first":[250],"polynomial":[251],"them.":[255]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
