{"id":"https://openalex.org/W3082596424","doi":"https://doi.org/10.1145/3411174.3411198","title":"Total Opportunity Cost Matrix - Supreme Cell","display_name":"Total Opportunity Cost Matrix - Supreme Cell","publication_year":2020,"publication_date":"2020-07-17","ids":{"openalex":"https://openalex.org/W3082596424","doi":"https://doi.org/10.1145/3411174.3411198","mag":"3082596424"},"language":"en","primary_location":{"id":"doi:10.1145/3411174.3411198","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411174.3411198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computer and Communications Management","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/A5041186429","display_name":"Bilqis Amaliah","orcid":"https://orcid.org/0000-0003-3154-8653"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Bilqis Amaliah","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065837975","display_name":"Chastine Fatichah","orcid":"https://orcid.org/0000-0002-7348-9762"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Chastine Fatichah","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020559095","display_name":"Erma Suryani","orcid":"https://orcid.org/0000-0002-5840-9242"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Erma Suryani","raw_affiliation_strings":["Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075933838","display_name":"Aisyah Muswar","orcid":null},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Aisyah Muswar","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041186429"],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":null,"apc_paid":null,"fwci":0.2942,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5554622,"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":"151","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12709","display_name":"Optimization and Mathematical Programming","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9631999731063843,"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/T13601","display_name":"Urban Transport Systems Analysis","score":0.9466000199317932,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5878684520721436},{"id":"https://openalex.org/keywords/total-cost","display_name":"Total cost","score":0.5466833114624023},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.544231116771698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5183919072151184},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5175235271453857},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.45027416944503784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35142648220062256},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0696706473827362}],"concepts":[{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5878684520721436},{"id":"https://openalex.org/C182299520","wikidata":"https://www.wikidata.org/wiki/Q1289588","display_name":"Total cost","level":2,"score":0.5466833114624023},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.544231116771698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5183919072151184},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5175235271453857},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.45027416944503784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35142648220062256},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0696706473827362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3411174.3411198","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411174.3411198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computer and Communications Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1874703156","https://openalex.org/W1967486378","https://openalex.org/W2047903283","https://openalex.org/W2073532769","https://openalex.org/W2118621154","https://openalex.org/W2189113204","https://openalex.org/W2268771040","https://openalex.org/W2287120065","https://openalex.org/W2292791813","https://openalex.org/W2418477132","https://openalex.org/W2587420358","https://openalex.org/W2605946450","https://openalex.org/W2735565064","https://openalex.org/W2808549929","https://openalex.org/W2900914242","https://openalex.org/W2914423730","https://openalex.org/W2921125531","https://openalex.org/W2924884701","https://openalex.org/W2993329240","https://openalex.org/W3186642081","https://openalex.org/W4205508831","https://openalex.org/W7032977936"],"related_works":["https://openalex.org/W2049150502","https://openalex.org/W1967500081","https://openalex.org/W2365751862","https://openalex.org/W2172599225","https://openalex.org/W2945191958","https://openalex.org/W4285411252","https://openalex.org/W2176627345","https://openalex.org/W2379531677","https://openalex.org/W2373948225","https://openalex.org/W2365537987"],"abstract_inverted_index":{"Transportation":[0],"Problem":[1],"(TP)":[2],"is":[3,23],"delivering":[4],"the":[5,14,42,75,94,98,103,107,122,172],"product":[6],"from":[7,115],"supply":[8],"to":[9,12,26,62,69,120,133],"demand":[10],"proposed":[11,61,127],"determine":[13],"minimal":[15,72,163],"total":[16,73],"cost.":[17],"Initial":[18,135],"Basic":[19,136],"Feasible":[20,137],"Solution":[21],"(IBFS)":[22],"a":[24,48,71,83],"foundation":[25],"find":[27],"an":[28],"optimal":[29,39,76,173],"solution":[30,40,77,174],"of":[31,78,124,156,177],"TP.":[32,79],"The":[33,126,154],"previous":[34],"methods":[35],"did":[36],"not":[37],"provide":[38],"all":[41],"time.":[43],"Therefore,":[44],"in":[45],"this":[46,91],"paper,":[47],"new":[49],"method":[50,92],"called":[51],"Total":[52,149],"Opportunity":[53],"Cost":[54],"Matrix":[55],"--":[56],"Supreme":[57],"Cell":[58],"(TOCM-SC)":[59],"was":[60],"get":[63],"better":[64,84,162],"IBFS.":[65],"This":[66],"study":[67],"aimed":[68],"achieve":[70],"as":[74],"TOCM-SC":[80,160,170],"can":[81],"have":[82],"result":[85],"compared":[86,132],"with":[87,102,181],"other":[88,134],"methods;":[89],"since":[90],"initializes":[93],"original":[95],"matrix":[96],"into":[97],"TOCM":[99],"and":[100,148,168],"starts":[101],"cell,":[104],"which":[105],"has":[106,130],"highest":[108],"supreme":[109],"value.":[110],"Twenty-three":[111,178],"numerical":[112,179],"examples":[113,180],"selected":[114],"some":[116],"journals":[117],"were":[118],"used":[119],"evaluate":[121],"performance":[123],"TOCM-SC.":[125],"method,":[128],"TOCM-SC,":[129],"been":[131],"Solutions":[138],"namely:":[139],"Incessant":[140],"Allocation":[141],"Method":[142,146,151],"(IAM),":[143],"Vogel's":[144],"Approximation":[145],"(VAM),":[147],"Differences":[150],"1":[152],"(TDM1).":[153],"results":[155],"experiment":[157],"show":[158],"that":[159],"obtained":[161],"cost":[164],"than":[165],"IAM,":[166],"VAM,":[167],"TDM1.":[169],"achieved":[171],"for":[175],"seventeen":[176],"73.91%":[182],"accuracy.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}