{"id":"https://openalex.org/W3205397441","doi":"https://doi.org/10.1016/j.procir.2021.10.002","title":"A Markov Chain model for the performance evaluation of manufacturing lines with general processing times","display_name":"A Markov Chain model for the performance evaluation of manufacturing lines with general processing times","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3205397441","doi":"https://doi.org/10.1016/j.procir.2021.10.002","mag":"3205397441"},"language":"en","primary_location":{"id":"doi:10.1016/j.procir.2021.10.002","doi":"https://doi.org/10.1016/j.procir.2021.10.002","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procir.2021.10.002","pdf_url":"https://www.sciencedirect.com/science/article/pii/S221282712100843X/pdf","source":{"id":"https://openalex.org/S2898565713","display_name":"Procedia CIRP","issn_l":"2212-8271","issn":["2212-8271"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia CIRP","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.sciencedirect.com/science/article/pii/S221282712100843X/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058118091","display_name":"Salvatore Scrivano","orcid":"https://orcid.org/0000-0001-8814-1614","observed_orcids":["https://orcid.org/0000-0001-8814-1614"]},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Salvatore Scrivano","raw_affiliation_strings":["Department of Mechanical Engineering, Politecnico di Milano, via La Masa 1, 20156 Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Politecnico di Milano, via La Masa 1, 20156 Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085267425","display_name":"Tullio Antonio Maria Tolio","orcid":"https://orcid.org/0000-0003-0015-5021","observed_orcids":["https://orcid.org/0000-0003-0015-5021"]},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tullio Tolio","raw_affiliation_strings":["Department of Mechanical Engineering, Politecnico di Milano, via La Masa 1, 20156 Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Politecnico di Milano, via La Masa 1, 20156 Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058118091"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":1.1599,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78440678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"103","issue":null,"first_page":"20","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.478300005197525,"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"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.478300005197525,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.1624000072479248,"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/T11125","display_name":"Petri Nets in System Modeling","score":0.10350000113248825,"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/markov-chain-approximation","display_name":"Markov chain approximation","score":0.8899999856948853},{"id":"https://openalex.org/keywords/continuous-flow-model","display_name":"continuous flow model","score":0.7129999995231628},{"id":"https://openalex.org/keywords/finite-buffer","display_name":"finite buffer","score":0.9660000205039978},{"id":"https://openalex.org/keywords/human-operator-modeling","display_name":"human operator modeling","score":0.5370000004768372},{"id":"https://openalex.org/keywords/decomposition-method","display_name":"decomposition method","score":0.6359999775886536},{"id":"https://openalex.org/keywords/assembly-line","display_name":"assembly line","score":0.6859999895095825}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.8703651428222656},{"id":"https://openalex.org/C147080032","wikidata":"https://www.wikidata.org/wiki/Q176720","display_name":"Continuous-time Markov chain","level":5,"score":0.6207947134971619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5988463163375854},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.57179856300354},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.5501518845558167},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5276029706001282},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4900018274784088},{"id":"https://openalex.org/C2777425979","wikidata":"https://www.wikidata.org/wiki/Q5462102","display_name":"Flow line","level":2,"score":0.45491766929626465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4415954053401947},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.44078516960144043},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.43155449628829956},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37517648935317993},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23096394538879395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17786160111427307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1153404712677002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10050004720687866},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.07176393270492554},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.procir.2021.10.002","doi":"https://doi.org/10.1016/j.procir.2021.10.002","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procir.2021.10.002","pdf_url":"https://www.sciencedirect.com/science/article/pii/S221282712100843X/pdf","source":{"id":"https://openalex.org/S2898565713","display_name":"Procedia CIRP","issn_l":"2212-8271","issn":["2212-8271"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia CIRP","raw_type":"journal-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1189898","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1189898","pdf_url":"https://re.public.polimi.it/bitstream/11311/1189898/1/A%20Markov%20Chain%20model%20for%20the%20performance%20evaluation%20of%20manufacturing%20lines%20with%20general%20processing%20times.pdf","source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1016/j.procir.2021.10.002","doi":"https://doi.org/10.1016/j.procir.2021.10.002","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procir.2021.10.002","pdf_url":"https://www.sciencedirect.com/science/article/pii/S221282712100843X/pdf","source":{"id":"https://openalex.org/S2898565713","display_name":"Procedia CIRP","issn_l":"2212-8271","issn":["2212-8271"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia CIRP","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205397441.pdf","grobid_xml":"https://content.openalex.org/works/W3205397441.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1597309614","https://openalex.org/W1985492114","https://openalex.org/W2007001378","https://openalex.org/W2029223756","https://openalex.org/W2036449543","https://openalex.org/W2081651386","https://openalex.org/W2097227083","https://openalex.org/W2170004923","https://openalex.org/W2791866824","https://openalex.org/W2908708995","https://openalex.org/W2954840623","https://openalex.org/W3164533625","https://openalex.org/W4248958498"],"related_works":["https://openalex.org/W4367047329","https://openalex.org/W4200134085","https://openalex.org/W1596084559","https://openalex.org/W1970112130","https://openalex.org/W2029223756","https://openalex.org/W7046303133","https://openalex.org/W2236119132","https://openalex.org/W2148364044","https://openalex.org/W4389303088","https://openalex.org/W1639982084"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,54,64,83,97,116,189],"Markov":[4,20,89,122,144],"Chain":[5,21,90,123,145],"approximation":[6,22],"to":[7,108],"model":[8,177],"stations":[9],"in":[10,48,152,160,181],"manufacturing":[11],"lines":[12,36],"with":[13,37,58,70,76,96],"general":[14,71],"distributed":[15,72],"processing":[16,60,73,78,99,136],"times.":[17,74],"The":[18,121,142,176],"proposed":[19],"enables":[23],"the":[24,31,49,111,119,131,135,139,147,150,161,170,182,185],"use":[25],"of":[26,34,53,63,115,130,134,138,149,173,184,188],"continuous":[27,84,166],"flow":[28,167],"models":[29],"for":[30,169],"performance":[32,171],"evaluation":[33,172],"serial":[35,174],"finite":[38],"buffers":[39],"and":[40,101,154],"mixed":[41],"manual":[42,68],"\u2013":[43,86],"automated":[44,56],"operations.":[45],"Each":[46],"station":[47,151],"line":[50],"can":[51],"consist":[52],"highly":[55],"machine":[57],"deterministic":[59,98],"times,":[61],"or":[62],"human":[65],"operator":[66],"performing":[67],"operations":[69],"Stations":[75],"random":[77],"times":[79],"are":[80,125],"modelled":[81],"through":[82,127],"time":[85,114,137],"discrete":[87],"state":[88,95,106],"characterized":[91],"by":[92,102],"an":[93,103],"operational":[94],"time,":[100],"auxiliary":[104],"down":[105],"used":[107,157],"stochastically":[109],"dilate":[110],"overall":[112],"completion":[113],"part":[117],"on":[118,165],"station.":[120,141],"parameters":[124],"defined":[126],"moments":[128],"fitting":[129],"probability":[132],"distribution":[133],"original":[140],"resulting":[143],"represents":[146],"behavior":[148],"isolation":[153],"is":[155],"then":[156],"as":[158],"input":[159],"decomposition":[162],"techniques,":[163],"based":[164],"models,":[168],"lines.":[175],"has":[178],"been":[179],"applied":[180],"analysis":[183],"production":[186],"performances":[187],"real":[190],"assembly":[191],"line.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-17T09:40:24.721904","created_date":"2021-10-25T00:00:00"}