{"id":"https://openalex.org/W4406612728","doi":"https://doi.org/10.1109/wsc63780.2024.10838954","title":"A Standard Framework for AI-Driven Optimizations in Various Complex Domains","display_name":"A Standard Framework for AI-Driven Optimizations in Various Complex Domains","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406612728","doi":"https://doi.org/10.1109/wsc63780.2024.10838954"},"language":"en","primary_location":{"id":"doi:10.1109/wsc63780.2024.10838954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":null,"display_name":"Tobias Bosse","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Bosse","raw_affiliation_strings":["Robert Bosch GmbH,Dept. of Manufacturing Digitalization - AI-Solutions, Simulation and WIP-Flow Optimization,Reutlingen,BW,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Dept. of Manufacturing Digitalization - AI-Solutions, Simulation and WIP-Flow Optimization,Reutlingen,BW,GERMANY","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115947479","display_name":"Evangelos Angelidis","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Evangelos Angelidis","raw_affiliation_strings":["Robert Bosch GmbH,Dept. of Manufacturing Digitalization - AI-Solutions, Simulation and WIP-Flow Optimization,Reutlingen,BW,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Dept. of Manufacturing Digitalization - AI-Solutions, Simulation and WIP-Flow Optimization,Reutlingen,BW,GERMANY","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070785713","display_name":"Fei Zhang","orcid":"https://orcid.org/0000-0002-2591-906X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Fei Zhang","raw_affiliation_strings":["D-SIMLAB Technologies Pte Ltd,SINGAPORE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D-SIMLAB Technologies Pte Ltd,SINGAPORE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084762519","display_name":"Chew Wye Chan","orcid":"https://orcid.org/0000-0002-8523-7888"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chew Wye Chan","raw_affiliation_strings":["D-SIMLAB Technologies Pte Ltd,SINGAPORE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D-SIMLAB Technologies Pte Ltd,SINGAPORE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090260261","display_name":"Boon Ping Gan","orcid":"https://orcid.org/0009-0003-1030-8762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boon Ping Gan","raw_affiliation_strings":["D-SIMLAB Technologies Pte Ltd,SINGAPORE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D-SIMLAB Technologies Pte Ltd,SINGAPORE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076054136","display_name":"Matthias Werner","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Werner","raw_affiliation_strings":["Robert Bosch GmbH,Dept. of Manufacturing Digitalization - AI-Solutions, Simulation and WIP-Flow Optimization,Reutlingen,BW,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Dept. of Manufacturing Digitalization - AI-Solutions, Simulation and WIP-Flow Optimization,Reutlingen,BW,GERMANY","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091764838","display_name":"Andrej Gisbrecht","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andrej Gisbrecht","raw_affiliation_strings":["Robert Bosch GmbH,Dept. of Manufacturing Digitalization - AI-Solutions, Simulation and WIP-Flow Optimization,Reutlingen,BW,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Dept. of Manufacturing Digitalization - AI-Solutions, Simulation and WIP-Flow Optimization,Reutlingen,BW,GERMANY","institution_ids":["https://openalex.org/I889804353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5353,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85318415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1966","last_page":"1977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.3564000129699707,"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":0.3564000129699707,"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/T11006","display_name":"BIM and Construction Integration","score":0.35420000553131104,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/computer-science","display_name":"Computer science","score":0.6968253254890442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3228084444999695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6968253254890442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3228084444999695}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc63780.2024.10838954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":14,"referenced_works":["https://openalex.org/W2040231893","https://openalex.org/W2487507777","https://openalex.org/W2963390429","https://openalex.org/W2996245291","https://openalex.org/W2997873913","https://openalex.org/W3034428006","https://openalex.org/W3091774632","https://openalex.org/W3139550584","https://openalex.org/W4233573190","https://openalex.org/W4282832463","https://openalex.org/W4377695412","https://openalex.org/W4391409064","https://openalex.org/W6687241523","https://openalex.org/W6910394041"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Deploying":[0],"AI":[1],"in":[2,58,141],"production":[3],"is":[4,114],"a":[5,43,90],"challenging":[6],"task":[7],"that":[8,47,83,95],"necessitates":[9],"the":[10,51,59,98,109,138],"integration":[11],"of":[12,26,53,92],"various":[13],"standalone":[14],"software":[15,112],"solutions,":[16],"including":[17],"Manufacturing":[18],"Execution":[19],"System,":[20],"Simulation,":[21],"and":[22,29,35,67,73,133,136],"AI.":[23],"The":[24],"process":[25,140],"discussing,":[27],"defining,":[28],"implementing":[30],"interfaces":[31],"requires":[32],"both":[33],"time":[34],"financial":[36],"resources.":[37],"In":[38],"this":[39,107],"paper,":[40],"we":[41,78],"propose":[42],"standardized":[44],"interface":[45,81],"framework":[46],"not":[48],"only":[49],"facilitates":[50],"training":[52],"Deep":[54],"reinforcement":[55],"learning":[56],"agents":[57],"semiconductor":[60,99],"industry":[61],"but":[62],"also":[63],"offers":[64],"flexibility,":[65],"extensibility,":[66],"configurability":[68],"for":[69,101,131],"other":[70],"use":[71,103],"cases":[72],"domains.":[74],"To":[75],"achieve":[76],"this,":[77],"present":[79],"OpenAPI":[80],"definitions":[82],"enable":[84],"automatic":[85],"code":[86],"generation,":[87],"along":[88],"with":[89],"set":[91],"data":[93],"schemas":[94],"adequately":[96],"describe":[97],"domain":[100],"most":[102],"cases.":[104],"By":[105],"adopting":[106],"framework,":[108],"coupling":[110],"between":[111],"modules":[113],"reduced,":[115],"enabling":[116],"researchers":[117],"to":[118],"work":[119],"independently":[120],"on":[121],"their":[122],"solutions.":[123],"Moreover,":[124],"it":[125],"ensures":[126],"compatibility":[127],"among":[128],"modules,":[129],"allowing":[130],"plug":[132],"play":[134],"functionality,":[135],"simplifies":[137],"deployment":[139],"production.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
