{"id":"https://openalex.org/W2582683820","doi":"https://doi.org/10.1177/0037549716687044","title":"Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization","display_name":"Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization","publication_year":2017,"publication_date":"2017-01-23","ids":{"openalex":"https://openalex.org/W2582683820","doi":"https://doi.org/10.1177/0037549716687044","mag":"2582683820"},"language":"en","primary_location":{"id":"doi:10.1177/0037549716687044","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549716687044","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","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/A5014769716","display_name":"Mustafa G\u00f6\u00e7ken","orcid":"https://orcid.org/0000-0002-1256-2305"},"institutions":[{"id":"https://openalex.org/I50379099","display_name":"Adana Science and Technology University","ror":"https://ror.org/013z3yn41","country_code":"TR","type":"education","lineage":["https://openalex.org/I50379099"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Mustafa G\u00f6\u00e7ken","raw_affiliation_strings":["Engineering and Natural Sciences Faculty, Department of Industrial Engineering, Adana Science and Technology University, Turkey"],"affiliations":[{"raw_affiliation_string":"Engineering and Natural Sciences Faculty, Department of Industrial Engineering, Adana Science and Technology University, Turkey","institution_ids":["https://openalex.org/I50379099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085277746","display_name":"Ay\u015fe Tu\u011fba Dosdo\u011fru","orcid":"https://orcid.org/0000-0002-1548-5237"},"institutions":[{"id":"https://openalex.org/I59738393","display_name":"Gaziantep University","ror":"https://ror.org/020vvc407","country_code":"TR","type":"education","lineage":["https://openalex.org/I59738393"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ay\u015fe Tu\u011fba Dosdo\u011fru","raw_affiliation_strings":["Engineering Faculty, Department of Industrial Engineering, Gaziantep University, Turkey"],"affiliations":[{"raw_affiliation_string":"Engineering Faculty, Department of Industrial Engineering, Gaziantep University, Turkey","institution_ids":["https://openalex.org/I59738393"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017470736","display_name":"Asl\u0131 Boru","orcid":"https://orcid.org/0000-0001-6403-5307"},"institutions":[{"id":"https://openalex.org/I50379099","display_name":"Adana Science and Technology University","ror":"https://ror.org/013z3yn41","country_code":"TR","type":"education","lineage":["https://openalex.org/I50379099"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Asl\u0131 Boru","raw_affiliation_strings":["Engineering and Natural Sciences Faculty, Department of Industrial Engineering, Adana Science and Technology University, Turkey"],"affiliations":[{"raw_affiliation_string":"Engineering and Natural Sciences Faculty, Department of Industrial Engineering, Adana Science and Technology University, Turkey","institution_ids":["https://openalex.org/I50379099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072139486","display_name":"Faruk Geyik","orcid":"https://orcid.org/0000-0001-8732-0629"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faruk Geyik","raw_affiliation_strings":["Gaziantep, Turkey"],"affiliations":[{"raw_affiliation_string":"Gaziantep, Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014769716"],"corresponding_institution_ids":["https://openalex.org/I50379099"],"apc_list":null,"apc_paid":null,"fwci":1.5839,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8398384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"93","issue":"5","first_page":"379","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9973000288009644,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9973000288009644,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.7645753622055054},{"id":"https://openalex.org/keywords/reorder-point","display_name":"Reorder point","score":0.6699869632720947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6228014826774597},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.5818198919296265},{"id":"https://openalex.org/keywords/lead-time","display_name":"Lead time","score":0.5514132976531982},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5009176731109619},{"id":"https://openalex.org/keywords/total-cost","display_name":"Total cost","score":0.49368366599082947},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4820745587348938},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.450838178396225},{"id":"https://openalex.org/keywords/inventory-control","display_name":"Inventory control","score":0.43275362253189087},{"id":"https://openalex.org/keywords/economic-order-quantity","display_name":"Economic order quantity","score":0.4294838309288025},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4171460270881653},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.355165958404541},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.26104676723480225},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20124509930610657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13135528564453125},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12972989678382874},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12716257572174072},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.12487724423408508}],"concepts":[{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.7645753622055054},{"id":"https://openalex.org/C90357287","wikidata":"https://www.wikidata.org/wiki/Q3933138","display_name":"Reorder point","level":4,"score":0.6699869632720947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228014826774597},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5818198919296265},{"id":"https://openalex.org/C2781468064","wikidata":"https://www.wikidata.org/wiki/Q1267117","display_name":"Lead time","level":2,"score":0.5514132976531982},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5009176731109619},{"id":"https://openalex.org/C182299520","wikidata":"https://www.wikidata.org/wiki/Q1289588","display_name":"Total cost","level":2,"score":0.49368366599082947},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4820745587348938},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.450838178396225},{"id":"https://openalex.org/C117938511","wikidata":"https://www.wikidata.org/wiki/Q3634830","display_name":"Inventory control","level":2,"score":0.43275362253189087},{"id":"https://openalex.org/C1199943","wikidata":"https://www.wikidata.org/wiki/Q451299","display_name":"Economic order quantity","level":3,"score":0.4294838309288025},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4171460270881653},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.355165958404541},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.26104676723480225},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20124509930610657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13135528564453125},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12972989678382874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12716257572174072},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.12487724423408508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0037549716687044","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0037549716687044","pdf_url":null,"source":{"id":"https://openalex.org/S32573412","display_name":"SIMULATION","issn_l":"0037-5497","issn":["0037-5497","1741-3133"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIMULATION","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1490010216","https://openalex.org/W1793375595","https://openalex.org/W1963842300","https://openalex.org/W1968535027","https://openalex.org/W1970741704","https://openalex.org/W1970831531","https://openalex.org/W1972113763","https://openalex.org/W1975168570","https://openalex.org/W1982085033","https://openalex.org/W2005468645","https://openalex.org/W2040382545","https://openalex.org/W2075708592","https://openalex.org/W2089596980","https://openalex.org/W2094155768","https://openalex.org/W2110390205","https://openalex.org/W2112423013","https://openalex.org/W2114553080","https://openalex.org/W2130184319","https://openalex.org/W2132244156","https://openalex.org/W2164655620","https://openalex.org/W2166432716","https://openalex.org/W4210492122","https://openalex.org/W4229862529","https://openalex.org/W4250940167","https://openalex.org/W4253692712"],"related_works":["https://openalex.org/W4390352099","https://openalex.org/W2921701819","https://openalex.org/W3045057454","https://openalex.org/W4389575231","https://openalex.org/W23646004","https://openalex.org/W2078876772","https://openalex.org/W4211249043","https://openalex.org/W4385499277","https://openalex.org/W1879169628","https://openalex.org/W2906002857"],"abstract_inverted_index":{"A":[0],"real-world":[1],"inventory":[2,53,229],"control":[3,54],"system,":[4],"due":[5],"to":[6,26,71,83,98,110,161,166,178,205],"its":[7],"nonlinear,":[8],"stochastic,":[9],"time-dependent":[10],"nature,":[11],"and":[12,28,48,67,74,91,126,138,150,212,231],"the":[13,36,46,52,78,85,100,116,120,123,127,147,156,179,182,201,222,226],"presence":[14],"of":[15,45,51,55,81,119,175,187,225,238],"complex":[16,31,47],"interactions":[17],"between":[18,87],"supply":[19,56,102,157,184,227],"chain":[20,57,103,158,185,228],"members,":[21],"can":[22,144,217,233],"become":[23],"quite":[24],"challenging":[25],"optimize":[27],"requires":[29],"a":[30,42,172,235],"model.":[32],"At":[33],"this":[34],"point,":[35,125],"Simulation":[37],"Optimization":[38],"(SO)":[39],"model":[40],"gains":[41],"better":[43],"understanding":[44],"messy":[49],"phenomenon":[50],"members.":[58],"By":[59],"creating":[60],"SO":[61,142,169],"models":[62,143,170],"for":[63,135,155,221],"Distribution":[64],"Center":[65],"(DC)s":[66],"Suppliers,":[68],"we":[69],"wish":[70],"present":[72],"flexible":[73],"comprehensible":[75],"research":[76],"on":[77],"important":[79,114],"decision":[80],"whether":[82,141],"minimize":[84,99],"differences":[86],"total":[88,92,101,183],"overordering":[89],"cost":[90,94,104,180,186],"underordering":[93],"(Model":[95,105],"1)":[96],"or":[97],"2).":[106],"We":[107],"also":[108],"try":[109],"point":[111],"out":[112],"several":[113],"issues:":[115],"optimal":[117],"value":[118],"initial":[121],"inventory,":[122],"reorder":[124],"order-up-to":[128],"level":[129,174],"in":[130],"continuous":[131,151],"(s,":[132,152],"S)":[133,153],"policy":[134,154],"each":[136,139],"DC":[137],"Supplier;":[140],"successfully":[145,219],"integrate":[146],"supplier":[148],"selection":[149],"environment;":[159],"how":[160],"apply":[162],"statistical":[163],"analysis":[164],"skills":[165],"compare":[167],"these":[168],"with":[171,194],"greater":[173],"detail.":[176],"According":[177],"analysis,":[181,207,209,211],"Model":[188,195,198,215],"1":[189],"is":[190,200],"improved":[191],"approximately":[192],"22%":[193],"2.":[196],"Also,":[197],"2":[199,216],"best":[202],"one":[203],"according":[204],"quantity-based":[206],"order-based":[208],"probability-based":[210],"lead-time-based":[213],"analysis.":[214],"be":[218],"applied":[220],"actual":[223],"situation":[224],"system":[230],"companies":[232],"obtain":[234],"remarkable":[236],"amount":[237],"saving":[239],"while":[240],"increasing":[241],"their":[242],"competitive":[243],"edge.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}