{"id":"https://openalex.org/W4206081299","doi":"https://doi.org/10.1109/ieem50564.2021.9672873","title":"Evaluation of Supply Chain Network Resilience Level in Pre-disruption and Post-disruption Scenario","display_name":"Evaluation of Supply Chain Network Resilience Level in Pre-disruption and Post-disruption Scenario","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4206081299","doi":"https://doi.org/10.1109/ieem50564.2021.9672873"},"language":"en","primary_location":{"id":"doi:10.1109/ieem50564.2021.9672873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem50564.2021.9672873","pdf_url":null,"source":{"id":"https://openalex.org/S4363607822","display_name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-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/A5082431224","display_name":"M. F. Luthfiansyah","orcid":null},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"M. F. Luthfiansyah","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001602479","display_name":"Nur Aini Masruroh","orcid":"https://orcid.org/0000-0003-0171-7620"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"N. A. Masruroh","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082431224"],"corresponding_institution_ids":["https://openalex.org/I165230279"],"apc_list":null,"apc_paid":null,"fwci":0.4874,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62672811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"171"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10539","display_name":"Sustainable Supply Chain Management","score":0.9818999767303467,"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/resilience","display_name":"Resilience (materials science)","score":0.8316808938980103},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.8042235374450684},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.7300375699996948},{"id":"https://openalex.org/keywords/cvar","display_name":"CVAR","score":0.5842471122741699},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5622339844703674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5275152325630188},{"id":"https://openalex.org/keywords/supply-chain-network","display_name":"Supply chain network","score":0.43485477566719055},{"id":"https://openalex.org/keywords/supply-network","display_name":"Supply network","score":0.41178199648857117},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.40413811802864075},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"Supply chain management","score":0.390288382768631},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3683260381221771},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.23414301872253418},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1478792130947113},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1314047873020172},{"id":"https://openalex.org/keywords/expected-shortfall","display_name":"Expected shortfall","score":0.12065878510475159},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10928601026535034},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.1042914092540741},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07627213001251221}],"concepts":[{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.8316808938980103},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.8042235374450684},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.7300375699996948},{"id":"https://openalex.org/C2779922397","wikidata":"https://www.wikidata.org/wiki/Q5014755","display_name":"CVAR","level":4,"score":0.5842471122741699},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5622339844703674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5275152325630188},{"id":"https://openalex.org/C2778397037","wikidata":"https://www.wikidata.org/wiki/Q17083947","display_name":"Supply chain network","level":4,"score":0.43485477566719055},{"id":"https://openalex.org/C2780579389","wikidata":"https://www.wikidata.org/wiki/Q17083991","display_name":"Supply network","level":3,"score":0.41178199648857117},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.40413811802864075},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.390288382768631},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3683260381221771},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.23414301872253418},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1478792130947113},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1314047873020172},{"id":"https://openalex.org/C5496284","wikidata":"https://www.wikidata.org/wiki/Q5420856","display_name":"Expected shortfall","level":3,"score":0.12065878510475159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10928601026535034},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.1042914092540741},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07627213001251221},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem50564.2021.9672873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem50564.2021.9672873","pdf_url":null,"source":{"id":"https://openalex.org/S4363607822","display_name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1551275368","https://openalex.org/W1969287756","https://openalex.org/W1979955633","https://openalex.org/W1983328582","https://openalex.org/W2016196180","https://openalex.org/W2027900606","https://openalex.org/W2066218522","https://openalex.org/W2077006057","https://openalex.org/W2080043717","https://openalex.org/W2156264138","https://openalex.org/W2461336281","https://openalex.org/W2498807025","https://openalex.org/W2964725507","https://openalex.org/W3004062615","https://openalex.org/W3015858370","https://openalex.org/W3084452272","https://openalex.org/W3122109721","https://openalex.org/W3124407081","https://openalex.org/W6782811760"],"related_works":["https://openalex.org/W2467962866","https://openalex.org/W2889380807","https://openalex.org/W2515560497","https://openalex.org/W4243594466","https://openalex.org/W2357462092","https://openalex.org/W2911268934","https://openalex.org/W2796400896","https://openalex.org/W3199176943","https://openalex.org/W4385147017","https://openalex.org/W2492494410"],"abstract_inverted_index":{"Disruption":[0,159],"in":[1,16,24,120],"the":[2,36,53,63,83,90,108,118,130,141,172],"supply":[3,41,84,98],"chain":[4,42,85,99],"network":[5,78],"is":[6,59,69,144],"unavoidable.":[7],"Although":[8],"with":[9,89,101,117],"a":[10,31],"minimal":[11],"probability,":[12],"disruption":[13,21,65],"can":[14],"result":[15,95],"enormous":[17],"losses":[18],"due":[19,136],"to":[20,34,61,124,137,170],"of":[22,38,48,82,133],"flow":[23],"an":[25],"interconnected":[26],"system.":[27],"This":[28],"paper":[29],"presents":[30],"simulation":[32,58],"study":[33],"evaluate":[35],"impact":[37],"disruptions.":[39],"Ten":[40],"networks":[43,86,100,128],"from":[44],"six":[45],"different":[46],"types":[47],"industries":[49],"are":[50,105,161,168],"used":[51,60],"as":[52,149,175],"case":[54],"studies.":[55],"Monte":[56],"Carlo":[57],"simulate":[62],"randomized":[64],"scenarios.":[66],"The":[67,80,94],"resilience":[68,104,113,121,134],"measured":[70],"using":[71],"four":[72],"parameters:":[73],"density,":[74],"centrality,":[75],"connectivity,":[76],"and":[77,92,167],"size.":[79],"performance":[81],"was":[87],"evaluated":[88],"mean":[91],"CVaR.":[93],"shows":[96],"that":[97],"high":[102],"initial":[103,112],"not":[106,115,162],"necessarily":[107],"most":[109],"resilient":[110],"because":[111],"does":[114],"correlate":[116],"difference":[119],"when":[122],"exposed":[123],"disruption.":[125],"Furthermore,":[126],"all":[127],"experience":[129],"highest":[131],"decrease":[132],"value":[135],"connectivity":[138],"parameters.":[139],"Therefore,":[140],"recommendation":[142],"given":[143],"adding":[145],"new":[146],"nodes":[147,151,156],"(DC/hubs/manufacturer)":[148],"buffer":[150],"or":[152],"relationships":[153],"between":[154],"existing":[155],"(between":[157],"supplier/DC/manufacturer/retailer).":[158],"scenarios":[160],"based":[163],"on":[164],"each":[165],"zone":[166],"assumed":[169],"have":[171],"same":[173],"characteristics":[174],"research":[176],"limitations.":[177]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}