{"id":"https://openalex.org/W7140551142","doi":"https://doi.org/10.1109/tsm.2026.3678175","title":"Quantifying the Global Impact of Constraint Programming-Based Local Scheduling in Semiconductor Manufacturing","display_name":"Quantifying the Global Impact of Constraint Programming-Based Local Scheduling in Semiconductor Manufacturing","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7140551142","doi":"https://doi.org/10.1109/tsm.2026.3678175"},"language":"en","primary_location":{"id":"doi:10.1109/tsm.2026.3678175","doi":"https://doi.org/10.1109/tsm.2026.3678175","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsm.2026.3678175","pdf_url":null,"source":{"id":"https://openalex.org/S14676311","display_name":"IEEE Transactions on Semiconductor Manufacturing","issn_l":"0894-6507","issn":["0894-6507","1558-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Semiconductor Manufacturing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tsm.2026.3678175","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086768240","display_name":"Patrick St\u00f6ckermann","orcid":"https://orcid.org/0000-0003-1056-8233","observed_orcids":["https://orcid.org/0000-0003-1056-8233"]},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick St\u00f6ckermann","raw_affiliation_strings":["Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1056-8233","affiliations":[{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118269263","display_name":"Niels Hayen","orcid":"https://orcid.org/0009-0000-0259-2829","observed_orcids":["https://orcid.org/0009-0000-0259-2829"]},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Niels Hayen","raw_affiliation_strings":["Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":"https://orcid.org/0009-0000-0259-2829","affiliations":[{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053762726","display_name":"Pierre Tassel","orcid":"https://orcid.org/0000-0001-6533-3621","observed_orcids":["https://orcid.org/0000-0001-6533-3621"]},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Pierre Tassel","raw_affiliation_strings":["Department of Artificial Intelligence and Cybersecurity, University of Klagenfurt, Klagenfurt, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Cybersecurity, University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093827863","display_name":"Alessandro Immordino","orcid":"https://orcid.org/0009-0001-9108-1947","observed_orcids":["https://orcid.org/0009-0001-9108-1947"]},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alessandro Immordino","raw_affiliation_strings":["Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":"https://orcid.org/0009-0001-9108-1947","affiliations":[{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049256931","display_name":"Thomas Altenm\u00fcller","orcid":"https://orcid.org/0000-0002-3039-9193","observed_orcids":["https://orcid.org/0000-0002-3039-9193"]},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Altenm\u00fcller","raw_affiliation_strings":["Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006066772","display_name":"Martin Gebser","orcid":"https://orcid.org/0000-0002-8010-4752","observed_orcids":["https://orcid.org/0000-0002-8010-4752"]},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Gebser","raw_affiliation_strings":["Department of Artificial Intelligence and Cybersecurity, University of Klagenfurt, Klagenfurt, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Cybersecurity, University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055185135","display_name":"Konstantin Schekotihin","orcid":"https://orcid.org/0000-0002-0286-0958","observed_orcids":["https://orcid.org/0000-0002-0286-0958"]},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Konstantin Schekotihin","raw_affiliation_strings":["Department of Artificial Intelligence and Cybersecurity, University of Klagenfurt, Klagenfurt, Austria"],"raw_orcid":"https://orcid.org/0000-0002-0286-0958","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Cybersecurity, University of Klagenfurt, Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057372682","display_name":"Georg Seidel","orcid":"https://orcid.org/0009-0008-6525-5406","observed_orcids":["https://orcid.org/0009-0008-6525-5406"]},"institutions":[{"id":"https://openalex.org/I4210131793","display_name":"Infineon Technologies (Austria)","ror":"https://ror.org/03msng824","country_code":"AT","type":"company","lineage":["https://openalex.org/I137594350","https://openalex.org/I4210131793"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Georg Seidel","raw_affiliation_strings":["Infineon Technologies Austria, Villach, Austria"],"raw_orcid":"https://orcid.org/0009-0008-6525-5406","affiliations":[{"raw_affiliation_string":"Infineon Technologies Austria, Villach, Austria","institution_ids":["https://openalex.org/I4210131793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":{"value":2645,"currency":"USD","value_usd":2645},"fwci":2.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85422484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"39","issue":"2","first_page":"299","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9945999979972839,"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":0.9945999979972839,"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.0013000000035390258,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/constraint-programming","display_name":"constraint programming","score":0.8519999980926514},{"id":"https://openalex.org/keywords/local-scheduling","display_name":"local scheduling","score":0.8859999775886536},{"id":"https://openalex.org/keywords/semiconductor-manufacturing","display_name":"semiconductor manufacturing","score":0.6370000243186951},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"resource allocation","score":0.8299999833106995},{"id":"https://openalex.org/keywords/decomposition-strategy","display_name":"decomposition strategy","score":0.6520000100135803},{"id":"https://openalex.org/keywords/throughput","display_name":"throughput","score":0.7110000252723694},{"id":"https://openalex.org/keywords/tardiness","display_name":"tardiness","score":0.9869999885559082},{"id":"https://openalex.org/keywords/mixed-integer-programming","display_name":"mixed integer programming","score":0.7929999828338623},{"id":"https://openalex.org/keywords/high-fidelity-simulation","display_name":"high-fidelity simulation","score":0.75},{"id":"https://openalex.org/keywords/global-optimization","display_name":"global optimization","score":0.30399999022483826}],"concepts":[{"id":"https://openalex.org/C66018809","wikidata":"https://www.wikidata.org/wiki/Q1570432","display_name":"Semiconductor device fabrication","level":3,"score":0.6722999811172485},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6564000248908997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5351999998092651},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5145999789237976},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4284999966621399},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.40630000829696655},{"id":"https://openalex.org/C53688548","wikidata":"https://www.wikidata.org/wiki/Q1122190","display_name":"Computer-integrated manufacturing","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.3935999870300293},{"id":"https://openalex.org/C2987888538","wikidata":"https://www.wikidata.org/wiki/Q2986369","display_name":"Semiconductor industry","level":2,"score":0.3903999924659729},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.34310001134872437},{"id":"https://openalex.org/C154742593","wikidata":"https://www.wikidata.org/wiki/Q6753121","display_name":"Manufacturing operations","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3154999911785126},{"id":"https://openalex.org/C175700187","wikidata":"https://www.wikidata.org/wiki/Q187939","display_name":"Manufacturing","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.3091000020503998},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C2780682718","wikidata":"https://www.wikidata.org/wiki/Q16321575","display_name":"Production control","level":3,"score":0.2906000018119812},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C2777869240","wikidata":"https://www.wikidata.org/wiki/Q1424398","display_name":"Flexible manufacturing system","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C7923174","wikidata":"https://www.wikidata.org/wiki/Q1404943","display_name":"Manufacturing execution system","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsm.2026.3678175","doi":"https://doi.org/10.1109/tsm.2026.3678175","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsm.2026.3678175","pdf_url":null,"source":{"id":"https://openalex.org/S14676311","display_name":"IEEE Transactions on Semiconductor Manufacturing","issn_l":"0894-6507","issn":["0894-6507","1558-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Semiconductor Manufacturing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tsm.2026.3678175","doi":"https://doi.org/10.1109/tsm.2026.3678175","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsm.2026.3678175","pdf_url":null,"source":{"id":"https://openalex.org/S14676311","display_name":"IEEE Transactions on Semiconductor Manufacturing","issn_l":"0894-6507","issn":["0894-6507","1558-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Semiconductor Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4303701741","display_name":"Bundesministerium f\u00fcr Wirtschaft und Klimaschutz","ror":"https://ror.org/02vgg2808"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1554247778","https://openalex.org/W1570584007","https://openalex.org/W1980575957","https://openalex.org/W1991547818","https://openalex.org/W2024060531","https://openalex.org/W2040231893","https://openalex.org/W2052516771","https://openalex.org/W2062922394","https://openalex.org/W2078533235","https://openalex.org/W2134677473","https://openalex.org/W2143437796","https://openalex.org/W2156391157","https://openalex.org/W2157846217","https://openalex.org/W2293490428","https://openalex.org/W2487507777","https://openalex.org/W2518264398","https://openalex.org/W2548055351","https://openalex.org/W2734885941","https://openalex.org/W2790098940","https://openalex.org/W2811338889","https://openalex.org/W2973930420","https://openalex.org/W2997873913","https://openalex.org/W3141955773","https://openalex.org/W3142494592","https://openalex.org/W3175546025","https://openalex.org/W3209667582","https://openalex.org/W4235743936","https://openalex.org/W4236300353","https://openalex.org/W4255100885","https://openalex.org/W4290861662","https://openalex.org/W4383816400","https://openalex.org/W4391490654","https://openalex.org/W4412652265"],"related_works":["https://openalex.org/W3149692390","https://openalex.org/W7213475989","https://openalex.org/W32343685","https://openalex.org/W7099099206","https://openalex.org/W2156840402","https://openalex.org/W2138817457","https://openalex.org/W3142494592","https://openalex.org/W4385756473","https://openalex.org/W1989570164","https://openalex.org/W7164192628"],"abstract_inverted_index":{"The":[0,164],"efficiency":[1],"of":[2,11,90,110,140,153,202],"semiconductor":[3,142],"frontend":[4,143],"manufacturing":[5,144],"highly":[6],"depends":[7],"on":[8,21,114],"the":[9,39,50,61,73,87,108,115,135,148,168,183,197,206],"optimization":[10,36,44,113,128,190],"resource":[12],"allocation.":[13],"In":[14,102],"academic":[15],"works,":[16],"scheduling":[17,170],"methods,":[18],"i.e.,":[19],"based":[20],"Constraint":[22],"Programming":[23,28],"(CP)":[24],"or":[25,76],"Mixed":[26],"Integer":[27],"(MIP),":[29],"are":[30],"popular":[31],"tools":[32],"for":[33,56,81,199],"solving":[34],"this":[35,103,121],"problem.":[37],"As":[38],"problem":[40,51,62,85,208],"is":[41,63,93,172],"NP-hard,":[42],"complete":[43],"methods":[45],"do":[46],"not":[47],"scale":[48],"to":[49,95,130,174],"size":[52],"and":[53,66,118,137,150,193],"complexity":[54],"required":[55],"realistic":[57,100],"fabwide":[58],"scheduling.":[59],"Therefore,":[60],"often":[64],"decomposed":[65],"solved":[67],"locally.":[68],"While":[69],"we":[70,105,123,186],"can":[71],"track":[72],"solution":[74],"gap":[75],"even":[77],"compute":[78,131],"exact":[79],"solutions":[80],"sufficiently":[82],"small":[83],"local":[84,126,149,189,207],"instances,":[86],"fab-wide":[88,116],"impact":[89,109,152],"decomposition":[91],"strategies":[92],"yet":[94],"be":[96],"determined":[97],"in":[98,134,156],"a":[99,125,141,160],"setting.":[101],"work,":[104],"empirically":[106],"quantify":[107],"locally":[111,177],"applied":[112],"throughput":[117],"tardiness.":[119],"For":[120],"evaluation,":[122],"use":[124],"CP-based":[127,169],"method":[129,155,171],"large-scale":[132],"schedules":[133],"dynamic":[136],"stochastic":[138],"environment":[139],"facility.":[145],"We":[146],"investigate":[147],"global":[151,184,203],"our":[154],"different":[157],"settings":[158],"using":[159],"high-fidelity":[161],"simulation":[162],"environment.":[163],"results":[165],"show":[166,187],"that":[167,188],"able":[173],"significantly":[175],"improve":[176],"over":[178],"advanced":[179],"expert-drafted":[180],"heuristics.":[181],"On":[182],"scale,":[185],"delivers":[191],"inconsistent":[192],"varying":[194],"results,":[195],"stressing":[196],"need":[198],"an":[200],"injection":[201],"information":[204],"into":[205],"formulation.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-03-27T00:00:00"}