{"id":"https://openalex.org/W3196329409","doi":"https://doi.org/10.1080/00207543.2021.1953715","title":"Designing a resilient production system with reconfigurable machines and movable buffers","display_name":"Designing a resilient production system with reconfigurable machines and movable buffers","publication_year":2021,"publication_date":"2021-08-30","ids":{"openalex":"https://openalex.org/W3196329409","doi":"https://doi.org/10.1080/00207543.2021.1953715","mag":"3196329409"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2021.1953715","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1953715","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-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/A5101632884","display_name":"Tong Qin","orcid":"https://orcid.org/0000-0001-8805-828X"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Tong Qin","raw_affiliation_strings":["S. M. Wu School of Intelligent Engineering, South China University of Technology","S. M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S. M. Wu School of Intelligent Engineering, South China University of Technology","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"S. M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742785","display_name":"Ruxu Du","orcid":"https://orcid.org/0000-0002-9290-8053"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Ruxu Du","raw_affiliation_strings":["S. M. Wu School of Intelligent Engineering, South China University of Technology","S. M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S. M. Wu School of Intelligent Engineering, South China University of Technology","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"S. M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033746770","display_name":"Andrew Kusiak","orcid":"https://orcid.org/0000-0003-4393-1385"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Kusiak","raw_affiliation_strings":["Department of Industrial and Systems Engineering, University of Iowa","Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4393-1385","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, University of Iowa","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103041902","display_name":"Hui Tao","orcid":"https://orcid.org/0000-0002-1122-8962"},"institutions":[{"id":"https://openalex.org/I4210093799","display_name":"NOAA National Centers for Environmental Prediction","ror":"https://ror.org/00ndyev54","country_code":"US","type":"government","lineage":["https://openalex.org/I1308126019","https://openalex.org/I1343035065","https://openalex.org/I1343035065","https://openalex.org/I4210093799","https://openalex.org/I4210095787"]},{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","GB","US"],"is_corresponding":false,"raw_author_name":"Hui Tao","raw_affiliation_strings":["National and Local Joint Engineering Research Center for Industrial Friction and Lubrication Technology","S. M. Wu School of Intelligent Engineering, South China University of Technology","National and Local Joint Engineering Research Center for Industrial Friction and Lubrication Technology, Guangzhou, People's Republic of China","S. M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National and Local Joint Engineering Research Center for Industrial Friction and Lubrication Technology","institution_ids":["https://openalex.org/I4210093799"]},{"raw_affiliation_string":"S. M. Wu School of Intelligent Engineering, South China University of Technology","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"National and Local Joint Engineering Research Center for Industrial Friction and Lubrication Technology, Guangzhou, People's Republic of China","institution_ids":[]},{"raw_affiliation_string":"S. M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022694543","display_name":"Yong Zhong","orcid":"https://orcid.org/0000-0002-2673-856X"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Yong Zhong","raw_affiliation_strings":["S. M. Wu School of Intelligent Engineering, South China University of Technology","S. M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-2673-856X","affiliations":[{"raw_affiliation_string":"S. M. Wu School of Intelligent Engineering, South China University of Technology","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"S. M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022694543"],"corresponding_institution_ids":["https://openalex.org/I4210153682","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":3.955,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93742734,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"60","issue":"17","first_page":"5277","last_page":"5292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9678000211715698,"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"}},{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/idle","display_name":"Idle","score":0.7285895347595215},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.7275495529174805},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.7272502183914185},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5715706944465637},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5282068848609924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4723031520843506},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.4568723738193512},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.42983344197273254},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.40525543689727783},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3931531608104706},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.38581186532974243},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09865903854370117}],"concepts":[{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.7285895347595215},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.7275495529174805},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.7272502183914185},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5715706944465637},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5282068848609924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4723031520843506},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.4568723738193512},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.42983344197273254},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.40525543689727783},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3931531608104706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38581186532974243},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09865903854370117},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2021.1953715","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1953715","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:60:y:2022:i:17:p:5277-5292","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2021.1953715","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4300000071525574,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1897912028","display_name":null,"funder_award_id":"202102020360","funder_id":"https://openalex.org/F4320334898","funder_display_name":"Guangzhou Science and Technology Program key projects"},{"id":"https://openalex.org/G2839843753","display_name":null,"funder_award_id":"XDA22040203","funder_id":"https://openalex.org/F4320326956","funder_display_name":"Chinese Research Academy of Environmental Sciences"}],"funders":[{"id":"https://openalex.org/F4320326956","display_name":"Chinese Research Academy of Environmental Sciences","ror":"https://ror.org/05t8xvx87"},{"id":"https://openalex.org/F4320334898","display_name":"Guangzhou Science and Technology Program key projects","ror":"https://ror.org/00tjzgn92"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W176079972","https://openalex.org/W1682091427","https://openalex.org/W1749040494","https://openalex.org/W1864410157","https://openalex.org/W1997338951","https://openalex.org/W2014096683","https://openalex.org/W2025216328","https://openalex.org/W2029976866","https://openalex.org/W2038331462","https://openalex.org/W2043550968","https://openalex.org/W2046355686","https://openalex.org/W2081451077","https://openalex.org/W2086469188","https://openalex.org/W2118805239","https://openalex.org/W2122823048","https://openalex.org/W2184488869","https://openalex.org/W2358394505","https://openalex.org/W2517235307","https://openalex.org/W2567289819","https://openalex.org/W2732465808","https://openalex.org/W2765675080","https://openalex.org/W2770211634","https://openalex.org/W2906232595","https://openalex.org/W2913595118","https://openalex.org/W2947788863","https://openalex.org/W3025621245","https://openalex.org/W3031365375","https://openalex.org/W4240639008","https://openalex.org/W4250703471"],"related_works":["https://openalex.org/W2974485871","https://openalex.org/W1577119738","https://openalex.org/W2908872315","https://openalex.org/W1600399803","https://openalex.org/W4235210722","https://openalex.org/W4388633481","https://openalex.org/W2994960476","https://openalex.org/W2049601620","https://openalex.org/W2070778588","https://openalex.org/W2387757504"],"abstract_inverted_index":{"The":[0,66,97,149],"resilience":[1,61,98,156],"of":[2,62,99,108,119,123,127,157,175],"a":[3,42,63,72,106,158,173],"production":[4,23,64,67,89,101,109,112,135,159,179],"system":[5,68,102,160],"is":[6,69,85,103],"determined":[7],"by":[8,33,105,164,168],"its":[9],"capability":[10],"to":[11,13,49,58],"respond":[12],"internal":[14,25],"breakdowns":[15],"and/or":[16],"external":[17],"disruptions":[18,26],"and":[19,36,54,95,131,143,170,183],"recover.":[20],"In":[21,44],"conventional":[22],"systems,":[24],"such":[27],"as":[28],"machine":[29],"breakdown":[30],"are":[31,137,185],"handled":[32],"parallel":[34],"stations":[35],"storage":[37],"buffers,":[38],"which":[39],"come":[40],"at":[41],"cost.":[43],"this":[45],"paper,":[46],"we":[47],"propose":[48],"use":[50],"reconfigurable":[51],"machines":[52],"(RMs)":[53],"movable":[55],"buffers":[56],"(MBs)":[57],"increase":[59],"the":[60,79,88,100,144,155],"system.":[65],"modelled":[70],"using":[71],"modified":[73],"Markov":[74],"chain":[75],"model.":[76],"To":[77],"reduce":[78],"computational":[80],"effort,":[81],"an":[82],"iterative":[83],"method":[84],"adopted":[86],"for":[87,177],"lines":[90],"that":[91,154],"have":[92],"many":[93],"RMs":[94,169,182],"MBs.":[96,171],"evaluated":[104],"combination":[107],"loss,":[110],"steady":[111],"rate":[113],"with":[114,129,140,146,181],"threshold,":[115,130],"work-in-process":[116,124],"in":[117,125],"Idle-area":[118,126],"MBs,":[120],"process":[121],"time":[122],"MB":[128],"investment":[132],"return.":[133],"Two":[134],"systems":[136,180],"analysed,":[138],"one":[139],"3":[141],"operations":[142],"other":[145],"10":[147],"operations.":[148],"computer":[150],"simulation":[151],"results":[152],"indicate":[153],"can":[161],"be":[162],"improved":[163],"more":[165],"than":[166],"9%":[167],"Finally,":[172],"set":[174],"guidelines":[176],"design":[178],"MBs":[184],"also":[186],"given.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
