{"id":"https://openalex.org/W4391381627","doi":"https://doi.org/10.1109/wsc60868.2023.10407777","title":"Data-Driven Production Planning Formulations with Inventory Considerations","display_name":"Data-Driven Production Planning Formulations with Inventory Considerations","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4391381627","doi":"https://doi.org/10.1109/wsc60868.2023.10407777"},"language":"en","primary_location":{"id":"doi:10.1109/wsc60868.2023.10407777","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wsc60868.2023.10407777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"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/A5069618447","display_name":"Tobias V\u00f6lker","orcid":"https://orcid.org/0000-0002-9946-2963"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias V\u00f6lker","raw_affiliation_strings":["University of Hagen,Department of Mathematics and Computer Science,Hagen,Germany,58097"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hagen,Department of Mathematics and Computer Science,Hagen,Germany,58097","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032060363","display_name":"Lars M\u00f6nch","orcid":null},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lars M\u00f6nch","raw_affiliation_strings":["University of Hagen,Department of Mathematics and Computer Science,Hagen,Germany,58097"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hagen,Department of Mathematics and Computer Science,Hagen,Germany,58097","institution_ids":["https://openalex.org/I120691247"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I120691247"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28978614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2218","last_page":"2229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9966999888420105,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wafer-fabrication","display_name":"Wafer fabrication","score":0.6700693964958191},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.627498984336853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5543074011802673},{"id":"https://openalex.org/keywords/semiconductor-device-fabrication","display_name":"Semiconductor device fabrication","score":0.5043784379959106},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4996814727783203},{"id":"https://openalex.org/keywords/wafer","display_name":"Wafer","score":0.4963694214820862},{"id":"https://openalex.org/keywords/production-planning","display_name":"Production planning","score":0.4513090252876282},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4344366788864136},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.42864349484443665},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4277685582637787},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.41387641429901123},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36277782917022705},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3345593214035034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25749221444129944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15684100985527039},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11779442429542542},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08402803540229797},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08103007078170776}],"concepts":[{"id":"https://openalex.org/C35750839","wikidata":"https://www.wikidata.org/wiki/Q7959421","display_name":"Wafer fabrication","level":3,"score":0.6700693964958191},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.627498984336853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5543074011802673},{"id":"https://openalex.org/C66018809","wikidata":"https://www.wikidata.org/wiki/Q1570432","display_name":"Semiconductor device fabrication","level":3,"score":0.5043784379959106},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4996814727783203},{"id":"https://openalex.org/C160671074","wikidata":"https://www.wikidata.org/wiki/Q267131","display_name":"Wafer","level":2,"score":0.4963694214820862},{"id":"https://openalex.org/C2777909354","wikidata":"https://www.wikidata.org/wiki/Q1386523","display_name":"Production planning","level":3,"score":0.4513090252876282},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4344366788864136},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.42864349484443665},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4277685582637787},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.41387641429901123},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36277782917022705},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3345593214035034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25749221444129944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15684100985527039},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11779442429542542},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08402803540229797},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08103007078170776},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc60868.2023.10407777","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wsc60868.2023.10407777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W99267402","https://openalex.org/W2004001739","https://openalex.org/W2020930300","https://openalex.org/W2095657193","https://openalex.org/W2161561733","https://openalex.org/W2169092059","https://openalex.org/W2343939026","https://openalex.org/W2487507777","https://openalex.org/W2735442395","https://openalex.org/W2770860928","https://openalex.org/W2970576388","https://openalex.org/W2995258331","https://openalex.org/W3007382069","https://openalex.org/W4213445583","https://openalex.org/W4234422898","https://openalex.org/W4237241889","https://openalex.org/W4377000445"],"related_works":["https://openalex.org/W2170726572","https://openalex.org/W2146435486","https://openalex.org/W2006086900","https://openalex.org/W1483119123","https://openalex.org/W2377558694","https://openalex.org/W2394172622","https://openalex.org/W1594978932","https://openalex.org/W2083418455","https://openalex.org/W2157651641","https://openalex.org/W2152112785"],"abstract_inverted_index":{"Data-driven":[0],"(DD)":[1],"production":[2],"planning":[3],"formulations":[4,18,47],"for":[5],"semiconductor":[6],"wafer":[7,33,114],"fabrication":[8],"facilities":[9],"(wafer":[10],"fabs)":[11],"are":[12,19,95],"studied":[13],"in":[14,37,102],"this":[15],"paper.":[16],"These":[17],"based":[20],"on":[21],"a":[22,55,73,103,108,112],"set":[23],"of":[24,31,111],"system":[25],"states":[26],"representing":[27],"the":[28,32,64,79,83,98,121,125],"congestion":[29],"behavior":[30],"fab":[34],"with":[35,48,97],"work":[36],"process":[38],"and":[39,87],"resulting":[40],"output":[41],"levels.":[42],"We":[43],"establish":[44],"two":[45,93],"DD":[46,100],"inventory":[49,67,85],"considerations.":[50],"The":[51,69,92,116],"first":[52],"variant":[53,71],"is":[54,72],"shortfall-based":[56],"chance-constrained":[57],"formulation":[58,101],"that":[59,120],"considers":[60],"safety":[61],"stocks":[62],"at":[63],"finished":[65],"goods":[66],"level.":[68],"second":[70],"simple":[74],"scenario-based":[75],"stochastic":[76,122],"program":[77,123],"where":[78],"objective":[80],"function":[81],"reflects":[82],"expected":[84],"holding":[86],"backlog":[88],"cost":[89],"under":[90,128],"uncertainty.":[91],"variants":[94],"compared":[96],"conventional":[99],"rolling":[104],"horizon":[105],"environment":[106],"using":[107],"simulation":[109,117],"model":[110],"large-scaled":[113],"fab.":[115],"experiments":[118],"demonstrate":[119],"achieves":[124],"largest":[126],"profit":[127],"all":[129],"experimental":[130],"conditions.":[131]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}