{"id":"https://openalex.org/W4245474488","doi":"https://doi.org/10.1504/ijaac.2020.110071","title":"Multi-objective flexible flow shop batch scheduling problem with renewable energy","display_name":"Multi-objective flexible flow shop batch scheduling problem with renewable energy","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W4245474488","doi":"https://doi.org/10.1504/ijaac.2020.110071"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijaac.2020.110071","pdf_url":null,"source":{"id":"https://openalex.org/S33985172","display_name":"International Journal of Automation and Control","issn_l":"1740-7516","issn":["1740-7516","1740-7524"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5102942965","display_name":"Xiuli Wu","orcid":"https://orcid.org/0000-0002-8245-3526"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuli Wu","raw_affiliation_strings":["Department of Logistics Engineering, School of Mechanical Engineering, University of Science and Technology Beijing, Room 514B, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"Department of Logistics Engineering, School of Mechanical Engineering, University of Science and Technology Beijing, Room 514B, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063027138","display_name":"Ning Xiao","orcid":"https://orcid.org/0000-0001-7557-7363"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"N.A. Xiao","raw_affiliation_strings":["Department of Logistics Engineering, School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"Department of Logistics Engineering, School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017387220","display_name":"Qi Cui","orcid":"https://orcid.org/0000-0002-3704-8257"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Cui","raw_affiliation_strings":["Department of Logistics Engineering, School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"Department of Logistics Engineering, School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.965,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":"14","issue":"5/6","first_page":"519","last_page":"519"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9996,"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":0.9996,"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":0.9956,"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":0.9587,"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/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.4460896}],"concepts":[{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.76200366},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7016581},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.66351396},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.6425247},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.60878056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5456515},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.52165675},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.47826636},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.4460896},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.44150957},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.41941154},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2682494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24057922},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.18676177},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.15377751},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13918254},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07860598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.06555766},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijaac.2020.110071","pdf_url":null,"source":{"id":"https://openalex.org/S33985172","display_name":"International Journal of Automation and Control","issn_l":"1740-7516","issn":["1740-7516","1740-7524"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.77}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4250494182","https://openalex.org/W2900095789","https://openalex.org/W2883079124","https://openalex.org/W2368984651","https://openalex.org/W2366525864","https://openalex.org/W2346752270","https://openalex.org/W1980080607","https://openalex.org/W1977938613","https://openalex.org/W1581086569","https://openalex.org/W1514710561"],"abstract_inverted_index":{"Renewable":[0],"energy":[1,8,28,50],"is":[2,33,52,70,92,102,108,119],"an":[3,20],"alternative":[4],"for":[5],"the":[6,11,30,67,74,96,111,123,127,133,137,144],"non-renewable":[7,27],"to":[9,18,72,94,121],"reduce":[10],"carbon":[12,75],"emission":[13,76],"in":[14],"manufacturing":[15],"system.":[16],"How":[17],"make":[19],"energy-efficient":[21],"scheduling":[22,46,106],"solution":[23],"when":[24],"renewable":[25,49],"and":[26,57,77,113,141,147],"drive":[29],"production":[31],"alternatively":[32],"of":[34,129],"great":[35],"importance.":[36],"In":[37],"this":[38],"paper,":[39],"a":[40,81,115],"multi-objective":[41],"flexible":[42],"flow":[43],"shop":[44],"batch":[45],"problem":[47],"with":[48,88],"(MFBSP-RE)":[51],"studied,":[53],"variable":[54,89,116],"processing":[55],"time":[56,59],"handling":[58],"are":[60],"taken":[61],"into":[62],"account.":[63],"To":[64],"begin":[65],"with,":[66],"mathematical":[68],"model":[69],"formulated":[71],"minimise":[73],"makespan":[78],"simultaneously.":[79],"Then,":[80],"hybrid":[82],"non-dominated":[83],"sorting":[84],"genetic":[85],"algorithm-II":[86],"(HNSGA-II)":[87],"local":[90,117],"search":[91,118],"proposed":[93,134],"solve":[95,143],"MFBSP-RE.":[97],"The":[98],"operation-based":[99],"encoding":[100],"method":[101],"employed.":[103],"A":[104],"low-carbon":[105],"algorithm":[107,140],"presented.":[109],"Besides":[110],"crossover":[112],"mutation,":[114],"employed":[120],"improve":[122],"Pareto":[124],"set.":[125],"Finally,":[126],"results":[128],"experiments":[130],"show":[131],"that":[132],"HNSGA-II":[135],"outperforms":[136],"standard":[138],"NSGA-II":[139],"can":[142],"MFBSP-RE":[145],"effectively":[146],"efficiently.":[148]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4245474488","counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2024-12-31T05:49:38.193443","created_date":"2022-05-12"}