{"id":"https://openalex.org/W2889084258","doi":"https://doi.org/10.3390/bdcc2030027","title":"Productivity Benchmarking Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA)","display_name":"Productivity Benchmarking Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA)","publication_year":2018,"publication_date":"2018-09-03","ids":{"openalex":"https://openalex.org/W2889084258","doi":"https://doi.org/10.3390/bdcc2030027","mag":"2889084258"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc2030027","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc2030027","pdf_url":"https://www.mdpi.com/2504-2289/2/3/27/pdf?version=1535954313","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/2/3/27/pdf?version=1535954313","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007177703","display_name":"Shanta Mazumder","orcid":"https://orcid.org/0000-0003-4959-6637"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanta Mazumder","raw_affiliation_strings":["Department of Mechanical Engineering, Ohio University, Athens, OH 45701, USA"],"raw_orcid":"https://orcid.org/0000-0003-4959-6637","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Ohio University, Athens, OH 45701, USA","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021211163","display_name":"Golam Kabir","orcid":"https://orcid.org/0000-0001-9591-0629"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Golam Kabir","raw_affiliation_strings":["Department of Mechanical, Automotive & Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9591-0629","affiliations":[{"raw_affiliation_string":"Department of Mechanical, Automotive & Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108903991","display_name":"M. Ahsan Akhtar Hasin","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"M. Ahsan Akhtar Hasin","raw_affiliation_strings":["Department of Industrial and Production Engineering (IPE), Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Production Engineering (IPE), Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056871136","display_name":"Syed Mithun Ali","orcid":"https://orcid.org/0000-0002-4302-5991"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Syed Mithun Ali","raw_affiliation_strings":["Department of Industrial and Production Engineering (IPE), Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-4302-5991","affiliations":[{"raw_affiliation_string":"Department of Industrial and Production Engineering (IPE), Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021211163"],"corresponding_institution_ids":["https://openalex.org/I74413500"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.1008,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80883777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2","issue":"3","first_page":"27","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9983000159263611,"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/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9983000159263611,"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/T10164","display_name":"Quality and Supply Management","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/benchmarking","display_name":"Benchmarking","score":0.9006053805351257},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.8528752326965332},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.6484126448631287},{"id":"https://openalex.org/keywords/analytic-network-process","display_name":"Analytic network process","score":0.6106337308883667},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4937935769557953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.484966516494751},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4705270528793335},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4494723975658417},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.4103507995605469},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3652641177177429},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3635743260383606},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.3361363410949707},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.32702112197875977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27147459983825684},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.21139252185821533},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.20723506808280945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14186686277389526},{"id":"https://openalex.org/keywords/analytic-hierarchy-process","display_name":"Analytic hierarchy process","score":0.14179497957229614},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.14025205373764038},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11379960179328918}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9006053805351257},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.8528752326965332},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.6484126448631287},{"id":"https://openalex.org/C176459437","wikidata":"https://www.wikidata.org/wiki/Q485190","display_name":"Analytic network process","level":3,"score":0.6106337308883667},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4937935769557953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.484966516494751},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4705270528793335},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4494723975658417},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.4103507995605469},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3652641177177429},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3635743260383606},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.3361363410949707},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.32702112197875977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27147459983825684},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.21139252185821533},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.20723506808280945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14186686277389526},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.14179497957229614},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.14025205373764038},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11379960179328918},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/bdcc2030027","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc2030027","pdf_url":"https://www.mdpi.com/2504-2289/2/3/27/pdf?version=1535954313","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2daca4a9b058466c8f26e9c4450c0cc9","is_oa":true,"landing_page_url":"https://doaj.org/article/2daca4a9b058466c8f26e9c4450c0cc9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 2, Iss 3, p 27 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2504-2289/2/3/27/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/bdcc2030027","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/bdcc2030027","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc2030027","pdf_url":"https://www.mdpi.com/2504-2289/2/3/27/pdf?version=1535954313","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2889084258.pdf","grobid_xml":"https://content.openalex.org/works/W2889084258.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W96114920","https://openalex.org/W1518147518","https://openalex.org/W1524771255","https://openalex.org/W1982919339","https://openalex.org/W1998683724","https://openalex.org/W2028885713","https://openalex.org/W2071283737","https://openalex.org/W2074678476","https://openalex.org/W2076452041","https://openalex.org/W2082021905","https://openalex.org/W2110250287","https://openalex.org/W2141876044","https://openalex.org/W2156850983","https://openalex.org/W2161868596","https://openalex.org/W2162634891","https://openalex.org/W2172429180","https://openalex.org/W2228365602","https://openalex.org/W2245522920","https://openalex.org/W2245931673","https://openalex.org/W2321027687","https://openalex.org/W2335570952","https://openalex.org/W2607886896","https://openalex.org/W2896339772","https://openalex.org/W6657854838","https://openalex.org/W6669449625","https://openalex.org/W6681167985","https://openalex.org/W6685235541","https://openalex.org/W6700755555","https://openalex.org/W6736397622","https://openalex.org/W6755191658"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2341842940","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2261560403","https://openalex.org/W2515668944","https://openalex.org/W3123375916","https://openalex.org/W2049019028"],"abstract_inverted_index":{"Measuring":[0],"productivity":[1,13,55,115,144],"is":[2],"the":[3,70,73,78,90,114,123,132,143],"systematic":[4],"process":[5,45],"for":[6],"both":[7],"inter-":[8],"and":[9,20,47,57,80,103],"intra-organizational":[10],"comparisons.":[11],"The":[12,64,82,107],"measurement":[14,56],"can":[15,127],"be":[16],"used":[17,67],"to":[18,34,53,68,88,94,104,112],"control":[19],"facilitate":[21],"decision-making":[22],"in":[23,60,141],"manufacturing":[24,62,119,146],"as":[25,27],"well":[26],"service":[28],"organizations.":[29,147],"This":[30],"study\u2019s":[31],"objective":[32],"was":[33,66,86,110],"develop":[35],"a":[36,61],"decision":[37],"support":[38],"framework":[39,109],"by":[40,130],"integrating":[41],"an":[42,117,138],"analytic":[43],"network":[44],"(ANP)":[46],"data":[48],"envelopment":[49],"analysis":[50],"(DEA)":[51],"approach":[52,85],"tackling":[54],"benchmarking":[58],"problems":[59],"environment.":[63],"ANP":[65],"capture":[69],"interdependency":[71],"between":[72],"criteria":[74],"taking":[75],"into":[76],"consideration":[77],"ambiguity":[79],"vagueness.":[81],"nonparametric":[83],"DEA":[84],"utilized":[87],"determine":[89],"input-oriented":[91],"constant":[92],"returns":[93],"scale":[95],"(CRS)":[96],"efficiency":[97],"of":[98,116,145],"different":[99],"value-adding":[100],"production":[101],"units":[102],"benchmark":[105,113],"them.":[106],"proposed":[108],"implemented":[111],"apparel":[118],"company.":[120],"By":[121],"applying":[122],"model,":[124],"industrial":[125],"managers":[126],"gain":[128],"benefits":[129],"identifying":[131],"possible":[133],"contributing":[134],"factors":[135],"that":[136],"play":[137],"important":[139],"role":[140],"increasing":[142]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}