{"id":"https://openalex.org/W4205409407","doi":"https://doi.org/10.1109/lra.2021.3140056","title":"A Simulation-Based Metaheuristic Approach to Integrated Scheduling of Seedling Production","display_name":"A Simulation-Based Metaheuristic Approach to Integrated Scheduling of Seedling Production","publication_year":2022,"publication_date":"2022-01-04","ids":{"openalex":"https://openalex.org/W4205409407","doi":"https://doi.org/10.1109/lra.2021.3140056"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2021.3140056","doi":"https://doi.org/10.1109/lra.2021.3140056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3140056","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","ki-jl-1","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"volume":null,"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/A5113954296","display_name":"Jingyuan Feng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyuan Feng","raw_affiliation_strings":["School of Economics and Management, Dalian University of Technology, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048603159","display_name":"Xiangpei Hu","orcid":"https://orcid.org/0000-0001-7947-7407","observed_orcids":["https://orcid.org/0000-0001-7947-7407"]},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangpei Hu","raw_affiliation_strings":["School of Economics and Management, Dalian University of Technology, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049992511","display_name":"Nan Kong","orcid":"https://orcid.org/0000-0002-4047-3414","observed_orcids":["https://orcid.org/0000-0002-4047-3414"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Kong","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, USA"],"raw_orcid":"https://orcid.org/0000-0002-4047-3414","affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.1147,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46915301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"7","issue":"2","first_page":"1792","last_page":"1799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.5756999850273132,"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":0.5756999850273132,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.4009000062942505,"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/seedling-production","display_name":"seedling production","score":0.9750000238418579},{"id":"https://openalex.org/keywords/integrated-scheduling","display_name":"integrated scheduling","score":0.7509999871253967},{"id":"https://openalex.org/keywords/order-acceptance","display_name":"order acceptance","score":0.7620000243186951},{"id":"https://openalex.org/keywords/growth-rate-regulation","display_name":"growth rate control","score":0.9779999852180481},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.796999990940094},{"id":"https://openalex.org/keywords/optimal-computing-budget-allocation","display_name":"optimal computing budget allocation","score":0.9810000061988831},{"id":"https://openalex.org/keywords/simulation-optimization","display_name":"simulation-based optimization","score":0.5960000157356262},{"id":"https://openalex.org/keywords/heuristic-decision-making","display_name":"heuristic decision making","score":0.6880000233650208}],"concepts":[{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.7015172243118286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6551826000213623},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5774101614952087},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5505144000053406},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5434302687644958},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5410773158073425},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5335002541542053},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46518391370773315},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.457576721906662},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.43247321248054504},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16190454363822937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15494266152381897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15380731225013733},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13784611225128174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11124750971794128},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.1041812002658844},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2021.3140056","doi":"https://doi.org/10.1109/lra.2021.3140056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3140056","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","ki-jl-1","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5666999816894531}],"sustainable_development_goals_aurora":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7099999785423279}],"study_designs":[],"awards":[{"id":"https://openalex.org/G94868878","display_name":null,"funder_award_id":"72010107002","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W203276351","https://openalex.org/W911028829","https://openalex.org/W1965660354","https://openalex.org/W1968986403","https://openalex.org/W1985137959","https://openalex.org/W1989911725","https://openalex.org/W1991334773","https://openalex.org/W2001669091","https://openalex.org/W2009659271","https://openalex.org/W2018454477","https://openalex.org/W2032153706","https://openalex.org/W2040127888","https://openalex.org/W2049077852","https://openalex.org/W2057763025","https://openalex.org/W2061038190","https://openalex.org/W2157486392","https://openalex.org/W2157905150","https://openalex.org/W2527967470","https://openalex.org/W2769129939","https://openalex.org/W2769954075","https://openalex.org/W2902724910","https://openalex.org/W2906460614","https://openalex.org/W2922178002","https://openalex.org/W3009924156","https://openalex.org/W3130103558","https://openalex.org/W3135953171","https://openalex.org/W3195895217","https://openalex.org/W4237029372"],"related_works":["https://openalex.org/W4312228380","https://openalex.org/W1982342527","https://openalex.org/W7096364613","https://openalex.org/W2783411131","https://openalex.org/W2913792039","https://openalex.org/W2896004607","https://openalex.org/W2562587208","https://openalex.org/W2388699118","https://openalex.org/W4280541266","https://openalex.org/W7100102005"],"abstract_inverted_index":{"Seedling":[0],"production":[1,22,117,182,202],"is":[2,37],"important":[3],"to":[4,78,85,99,140,178,199],"modern":[5],"agriculture":[6],"for":[7,20,104,113],"its":[8],"economic":[9,176],"value":[10],"in":[11,39,87,187],"land":[12],"utilization":[13],"and":[14,30,63,83,127],"yield":[15],"promotion.":[16],"Three":[17],"crucial":[18],"decisions":[19,52],"seedling":[21,116,201],"are":[23,53],"new":[24,45],"order":[25,28,46,164],"acceptance,":[26],"backlogged":[27],"fulfillment,":[29],"growth":[31],"rate":[32,183],"control.":[33],"The":[34],"first":[35],"decision":[36,120],"made":[38,54],"an":[40,134],"on-line":[41],"fashion":[42],"whenever":[43],"a":[44,94,109,114,128,193],"arrives,":[47],"whereas":[48],"the":[49,57,60,66,70,81,101,105,125,142,152,159,175,181],"subsequent":[50],"two":[51,168],"periodically.":[55],"Given":[56],"interplay":[58],"between":[59],"three":[61],"operations":[62,203],"requirements":[64],"on":[65,122],"heterogeneous":[67],"frequency":[68],"of":[69,124,154,161,196],"decisions,":[71,107,126],"many":[72],"analytical":[73],"methods":[74],"lack":[75],"sufficient":[76],"flexibility":[77],"deal":[79],"with":[80],"problem":[82],"difficult":[84],"apply":[86],"practice.":[88],"In":[89],"this":[90],"letter,":[91],"we":[92,150],"propose":[93],"simulation-based":[95],"metaheuristic":[96,156],"optimization":[97,131,198],"approach":[98],"identify":[100],"appropriate":[102],"policy":[103],"above":[106],"including":[108],"fine-grained":[110],"simulation":[111,197],"model":[112],"representative":[115],"process,":[118],"heuristic":[119],"rules":[121,143,166],"each":[123],"particle":[129],"swarm":[130],"algorithm":[132],"embeds":[133],"optimal":[135],"computing":[136],"budget":[137],"allocation":[138],"scheme":[139],"explore":[141],"combination":[144],"space":[145],"efficiently.":[146],"Through":[147],"numerical":[148],"experiments,":[149],"justify":[151],"viability":[153],"our":[155,162],"algorithm;":[157],"show":[158],"superiority":[160],"backlog":[163],"fulfillment":[165],"over":[167],"benchmark":[169],"sequential":[170],"dispatching":[171],"rules;":[172],"also":[173],"demonstrate":[174],"benefit":[177],"periodically":[179],"regulate":[180],"rather":[184],"than":[185],"keep":[186],"invariant":[188],"rate.":[189],"Our":[190],"work":[191],"presents":[192],"novel":[194],"application":[195],"smart":[200],"management.":[204]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2022-01-26T00:00:00"}
