{"id":"https://openalex.org/W2564543003","doi":"https://doi.org/10.1109/sita.2016.7772314","title":"An experimental approach for dimensioning healthcare supply chains","display_name":"An experimental approach for dimensioning healthcare supply chains","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2564543003","doi":"https://doi.org/10.1109/sita.2016.7772314","mag":"2564543003"},"language":"en","primary_location":{"id":"doi:10.1109/sita.2016.7772314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sita.2016.7772314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA)","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/A5024940526","display_name":"Zoubida Chorfi","orcid":"https://orcid.org/0000-0002-5868-5693"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zoubida Chorfi","raw_affiliation_strings":["Equipe AMIPS"],"affiliations":[{"raw_affiliation_string":"Equipe AMIPS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017704832","display_name":"Loubna Benabbou","orcid":"https://orcid.org/0000-0002-0600-8658"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Loubna Benabbou","raw_affiliation_strings":["Equipe MOAD-SCM, Mohammed V University of Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"Equipe MOAD-SCM, Mohammed V University of Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078040310","display_name":"Abdelaziz Berrado","orcid":"https://orcid.org/0000-0001-8414-4607"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelaziz Berrado","raw_affiliation_strings":["Equipe AMIPS"],"affiliations":[{"raw_affiliation_string":"Equipe AMIPS","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024940526"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25264036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.926800012588501,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.926800012588501,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.9150000214576721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensioning","display_name":"Dimensioning","score":0.9713046550750732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7597034573554993},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.7184460759162903},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5301217436790466},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.4494759440422058},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.41654908657073975},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41198596358299255},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3864615559577942},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36340397596359253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14355111122131348},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.10789093375205994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08355623483657837}],"concepts":[{"id":"https://openalex.org/C89714869","wikidata":"https://www.wikidata.org/wiki/Q2280470","display_name":"Dimensioning","level":2,"score":0.9713046550750732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597034573554993},{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.7184460759162903},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5301217436790466},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.4494759440422058},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.41654908657073975},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41198596358299255},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3864615559577942},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36340397596359253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14355111122131348},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.10789093375205994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08355623483657837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sita.2016.7772314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sita.2016.7772314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1890999","https://openalex.org/W1969242179","https://openalex.org/W1980130582","https://openalex.org/W1996601681","https://openalex.org/W2052403654","https://openalex.org/W2060330047","https://openalex.org/W2081709852","https://openalex.org/W2094783828","https://openalex.org/W2336789388","https://openalex.org/W2486444208","https://openalex.org/W2546892955","https://openalex.org/W4243645092","https://openalex.org/W6703190611"],"related_works":["https://openalex.org/W1562131159","https://openalex.org/W2367248359","https://openalex.org/W2379979386","https://openalex.org/W2980301606","https://openalex.org/W2363010132","https://openalex.org/W2364245233","https://openalex.org/W2091934641","https://openalex.org/W4300496170","https://openalex.org/W38162065","https://openalex.org/W3188587804"],"abstract_inverted_index":{"Nowadays,":[0],"many":[1],"deterministic":[2,16,25],"phenomenon":[3],"are":[4,11,32],"investigated":[5],"through":[6],"computer":[7,54],"experiments.":[8],"Computer":[9],"experiments":[10,55],"conducted":[12],"to":[13,44,91],"emulate":[14],"complex":[15,36],"systems":[17],"for":[18,56,96],"saving":[19],"time":[20,40],"and":[21,42,66],"resources.":[22],"In":[23],"a":[24,78,82],"simulation":[26],"model":[27],"the":[28,73,97],"output":[29],"responses":[30],"values":[31],"generally":[33],"determined":[34],"by":[35,61,85],"mathematical":[37,79],"models":[38],"computationally":[39],"consuming":[41],"difficult":[43],"run.":[45],"This":[46],"paper":[47],"presents":[48],"an":[49,93],"experimental":[50],"approach":[51,75],"based":[52],"on":[53],"dimensioning":[57,95],"healthcare":[58,98],"supply":[59,99],"chains":[60,100],"using":[62],"Latin":[63],"hypercube":[64],"sampling":[65],"response":[67],"surface":[68],"methodology.":[69],"For":[70],"practical":[71],"purposes,":[72],"proposed":[74],"will":[76],"convert":[77],"problem":[80,84],"into":[81],"simpler":[83],"means":[86],"of":[87],"prediction":[88],"in":[89],"order":[90],"provide":[92],"approximate":[94],"operations.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}