{"id":"https://openalex.org/W2553965176","doi":"https://doi.org/10.1109/coase.2016.7743531","title":"Integrated analysis of productivity and machine condition degradation: A geometric-machine case","display_name":"Integrated analysis of productivity and machine condition degradation: A geometric-machine case","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2553965176","doi":"https://doi.org/10.1109/coase.2016.7743531","mag":"2553965176"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2016.7743531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2016.7743531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5089837422","display_name":"Yunyi Kang","orcid":"https://orcid.org/0000-0002-2715-4769"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunyi Kang","raw_affiliation_strings":["School of Computing Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041757568","display_name":"Feng Ju","orcid":"https://orcid.org/0000-0003-3452-0795"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Ju","raw_affiliation_strings":["School of Computing Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1128","last_page":"1133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9952999949455261,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9952999949455261,"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":0.9922000169754028,"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"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/degradation","display_name":"Degradation (telecommunications)","score":0.6902531385421753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6144581437110901},{"id":"https://openalex.org/keywords/machine-tool","display_name":"Machine tool","score":0.5819069147109985},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4825417399406433},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.47537174820899963},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.4559188485145569},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4378427565097809},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.42659100890159607},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22752618789672852},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18259969353675842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10522720217704773},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08955121040344238}],"concepts":[{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.6902531385421753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144581437110901},{"id":"https://openalex.org/C5941749","wikidata":"https://www.wikidata.org/wiki/Q19768","display_name":"Machine tool","level":2,"score":0.5819069147109985},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4825417399406433},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.47537174820899963},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.4559188485145569},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4378427565097809},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.42659100890159607},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22752618789672852},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18259969353675842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10522720217704773},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08955121040344238},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2016.7743531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2016.7743531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W588098693","https://openalex.org/W1838853353","https://openalex.org/W1967711089","https://openalex.org/W1970673888","https://openalex.org/W1991831291","https://openalex.org/W1997506459","https://openalex.org/W1997792274","https://openalex.org/W2000304567","https://openalex.org/W2006572147","https://openalex.org/W2019597565","https://openalex.org/W2021634371","https://openalex.org/W2024788031","https://openalex.org/W2045916336","https://openalex.org/W2053451064","https://openalex.org/W2060815509","https://openalex.org/W2065810767","https://openalex.org/W2088586580","https://openalex.org/W2242074677"],"related_works":["https://openalex.org/W1660242800","https://openalex.org/W2534928293","https://openalex.org/W2077211377","https://openalex.org/W2150099345","https://openalex.org/W3004580327","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"We":[0],"consider":[1],"a":[2,11,74],"two-machine-one-buffer":[3],"production":[4],"system":[5,51,65,69],"with":[6,84],"each":[7],"machine's":[8],"condition":[9,23,45,89],"following":[10],"certain":[12],"degradation":[13,24,46,90],"process.":[14],"An":[15],"analytical":[16],"model":[17],"of":[18,21],"the":[19,33,41,49,64,68],"integration":[20],"machine":[22,44,88],"and":[25,48,80,91],"productivity":[26],"is":[27],"introduced.":[28],"Analytical":[29],"methods":[30,72],"based":[31],"on":[32,62],"Markov":[34],"chain":[35],"approach":[36],"are":[37,57],"developed":[38],"to":[39,59],"quantify":[40],"interaction":[42],"between":[43,87],"process":[47],"overall":[50],"performance.":[52,70],"In":[53],"addition,":[54],"system-theoretical":[55],"properties":[56],"investigated":[58],"provide":[60,73],"insight":[61],"how":[63],"parameters":[66],"affect":[67],"These":[71],"quantitative":[75],"tool":[76],"for":[77],"modeling,":[78],"analyzing,":[79],"improving":[81],"manufacturing":[82],"systems":[83],"tight":[85],"interactions":[86],"productivity.":[92]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
