{"id":"https://openalex.org/W3006935731","doi":"https://doi.org/10.1109/wsc40007.2019.9004902","title":"An Efficient Multi-Objective Hybrid Simheuristic Approach for Advanced Rolling Horizon Production Planning","display_name":"An Efficient Multi-Objective Hybrid Simheuristic Approach for Advanced Rolling Horizon Production Planning","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3006935731","doi":"https://doi.org/10.1109/wsc40007.2019.9004902","mag":"3006935731"},"language":"en","primary_location":{"id":"doi:10.1109/wsc40007.2019.9004902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc40007.2019.9004902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000363124","display_name":"Felix Kamhuber","orcid":"https://orcid.org/0000-0002-1151-0570"},"institutions":[{"id":"https://openalex.org/I4210125165","display_name":"Fraunhofer Austria","ror":"https://ror.org/038bzrc91","country_code":"AT","type":"nonprofit","lineage":["https://openalex.org/I4210125165","https://openalex.org/I4923324"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Felix Kamhuber","raw_affiliation_strings":["Fraunhofer Austria Research GmbH,Logistics and Production Management Division,Vienna,AUSTRIA,1040"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Austria Research GmbH,Logistics and Production Management Division,Vienna,AUSTRIA,1040","institution_ids":["https://openalex.org/I4210125165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087467642","display_name":"Thomas Sobottka","orcid":"https://orcid.org/0000-0002-2946-9035"},"institutions":[{"id":"https://openalex.org/I4210125165","display_name":"Fraunhofer Austria","ror":"https://ror.org/038bzrc91","country_code":"AT","type":"nonprofit","lineage":["https://openalex.org/I4210125165","https://openalex.org/I4923324"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Sobottka","raw_affiliation_strings":["Fraunhofer Austria Research GmbH,Logistics and Production Management Division,Vienna,AUSTRIA,1040"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Austria Research GmbH,Logistics and Production Management Division,Vienna,AUSTRIA,1040","institution_ids":["https://openalex.org/I4210125165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084222990","display_name":"Bernhard Heinzl","orcid":"https://orcid.org/0000-0001-8297-7533"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Bernhard Heinzl","raw_affiliation_strings":["Vienna University of Technology,Institute of Computer Engineering,Vienna,AUSTRIA,1040"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology,Institute of Computer Engineering,Vienna,AUSTRIA,1040","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022367509","display_name":"Wilfried Sihn","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Wilfried Sihn","raw_affiliation_strings":["Vienna University of Technology,Institute of Computer Engineering,Vienna,AUSTRIA,1040"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology,Institute of Computer Engineering,Vienna,AUSTRIA,1040","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8583,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91673566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"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":0.996399998664856,"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":0.996399998664856,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.996399998664856,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6631972193717957},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.6516467332839966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6466522216796875},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6058805584907532},{"id":"https://openalex.org/keywords/production-planning","display_name":"Production planning","score":0.4896615147590637},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.4811059832572937},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4480309784412384},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.42721399664878845},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3844103515148163},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3731710910797119},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1810888946056366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16630494594573975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11108839511871338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08806964755058289}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6631972193717957},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.6516467332839966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6466522216796875},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6058805584907532},{"id":"https://openalex.org/C2777909354","wikidata":"https://www.wikidata.org/wiki/Q1386523","display_name":"Production planning","level":3,"score":0.4896615147590637},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.4811059832572937},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4480309784412384},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.42721399664878845},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3844103515148163},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3731710910797119},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1810888946056366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16630494594573975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11108839511871338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08806964755058289},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wsc40007.2019.9004902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc40007.2019.9004902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-629164","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-629164.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer Austria","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/410541","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/410541","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1492160417","https://openalex.org/W1573676079","https://openalex.org/W1659842140","https://openalex.org/W1965569954","https://openalex.org/W1971723694","https://openalex.org/W1989733789","https://openalex.org/W2021437384","https://openalex.org/W2030387673","https://openalex.org/W2038827539","https://openalex.org/W2042942071","https://openalex.org/W2043092321","https://openalex.org/W2044049211","https://openalex.org/W2050009193","https://openalex.org/W2068464776","https://openalex.org/W2069361207","https://openalex.org/W2091937574","https://openalex.org/W2118044993","https://openalex.org/W2148969754","https://openalex.org/W2152195021","https://openalex.org/W2159427933","https://openalex.org/W2277428490","https://openalex.org/W2375814221","https://openalex.org/W2462800345","https://openalex.org/W2471948036","https://openalex.org/W2579101255","https://openalex.org/W2734511519","https://openalex.org/W2769375375","https://openalex.org/W2793360283","https://openalex.org/W2805644173","https://openalex.org/W2962887860","https://openalex.org/W4214597316","https://openalex.org/W4299796063"],"related_works":["https://openalex.org/W2089763231","https://openalex.org/W4213428262","https://openalex.org/W1455092226","https://openalex.org/W134091869","https://openalex.org/W2334901601","https://openalex.org/W3002894362","https://openalex.org/W2579101255","https://openalex.org/W2162890288","https://openalex.org/W2084006394","https://openalex.org/W2281243658"],"abstract_inverted_index":{"This":[0],"contribution":[1],"introduces":[2],"an":[3,18,26,93,138],"innovative":[4],"holistic":[5],"multi-objective":[6,39],"simheuristic":[7],"approach":[8,82],"for":[9,17,142],"advanced":[10],"production":[11],"planning":[12],"on":[13],"rolling":[14],"horizon":[15],"basis":[16],"European":[19],"industrial":[20],"food":[21],"manufacturer.":[22],"The":[23,125],"optimization":[24],"combines":[25],"efficient":[27],"heuristic":[28],"mixed-integer":[29],"optimization,":[30],"followed":[31],"by":[32,92],"a":[33,49,100,108,128],"customized":[34],"Simulated":[35],"Annealing":[36],"algorithm.":[37],"State-of-the-Art":[38],"solution":[40],"techniques":[41],"fail":[42],"to":[43,53,68,70,77,107,130],"address":[44],"highly":[45],"fluctuating":[46],"demands":[47],"in":[48,74],"suitable":[50],"way.":[51],"Due":[52],"the":[54,116],"lack":[55],"of":[56,119],"modelling":[57],"details,":[58],"as":[59,61,97,99],"well":[60,98],"dynamic":[62,84],"constraints,":[63],"these":[64],"methods":[65],"are":[66,90,122],"unable":[67],"adapt":[69],"seasonal":[71],"(off-)":[72],"peaks":[73],"demand":[75],"and":[76,86,115],"consider":[78],"resource":[79],"adjustments.":[80],"Our":[81],"features":[83],"capacity":[85],"stock-level":[87],"restrictions,":[88],"which":[89],"evaluated":[91],"integrated":[94],"simulation":[95],"module,":[96],"statistical":[101],"explorative":[102],"data":[103],"analysis.":[104],"In":[105],"addition":[106],"smoothed":[109],"production,":[110],"mid-term":[111],"stock":[112],"levels,":[113],"setup-costs":[114],"expected":[117],"utilization":[118],"downstream":[120,143],"equipment":[121],"optimized":[123],"simultaneously.":[124],"results":[126],"show":[127],"~30":[129],"40%":[131],"reduced":[132,140],"output":[133],"variation":[134],"rate,":[135],"thus":[136],"yielding":[137],"equally":[139],"requirement":[141],"equipment.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
