{"id":"https://openalex.org/W4394772017","doi":"https://doi.org/10.1145/3647750.3647781","title":"Retailers' Order Decision with Setup Cost using Machine Learning","display_name":"Retailers' Order Decision with Setup Cost using Machine Learning","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4394772017","doi":"https://doi.org/10.1145/3647750.3647781"},"language":"en","primary_location":{"id":"doi:10.1145/3647750.3647781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647750.3647781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647750.3647781","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 The 8th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3647750.3647781","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5095382281","display_name":"Pissacha Jintanasonti","orcid":null},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Pissacha Jintanasonti","raw_affiliation_strings":["Sirindhorn International Institute of Technology, Thammasat University, Thailand"],"raw_orcid":"https://orcid.org/0009-0009-3460-7998","affiliations":[{"raw_affiliation_string":"Sirindhorn International Institute of Technology, Thammasat University, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027628127","display_name":"Aussadavut Dumrongsiri","orcid":"https://orcid.org/0000-0002-9416-051X"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Aussadavut Dumrongsiri","raw_affiliation_strings":["Sirindhorn International Institute of Technology, Thammasat University, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-9416-051X","affiliations":[{"raw_affiliation_string":"Sirindhorn International Institute of Technology, Thammasat University, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031130657","display_name":"Phattarasaya Tantiwattanakul","orcid":"https://orcid.org/0009-0008-8726-1460"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Phattarasaya Tantiwattanakul","raw_affiliation_strings":["King Mongkut's University of Technology North Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-8726-1460","affiliations":[{"raw_affiliation_string":"King Mongkut's University of Technology North Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5095382281"],"corresponding_institution_ids":["https://openalex.org/I108108428"],"apc_list":null,"apc_paid":null,"fwci":0.9386,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75460941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9954000115394592,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9954000115394592,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9713000059127808,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9312999844551086,"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/purchasing","display_name":"Purchasing","score":0.8360939621925354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6275244355201721},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.6259841918945312},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5599683523178101},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5395357608795166},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5273469686508179},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49738219380378723},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4827920198440552},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2959974408149719},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2624170780181885}],"concepts":[{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.8360939621925354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6275244355201721},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.6259841918945312},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5599683523178101},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5395357608795166},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5273469686508179},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49738219380378723},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4827920198440552},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2959974408149719},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2624170780181885},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647750.3647781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647750.3647781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647750.3647781","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 The 8th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3647750.3647781","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647750.3647781","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647750.3647781","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 The 8th International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4394772017.pdf"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1547417857","https://openalex.org/W2785355402","https://openalex.org/W2792643794","https://openalex.org/W2925930013","https://openalex.org/W3092248103","https://openalex.org/W3214234501"],"related_works":["https://openalex.org/W2351217280","https://openalex.org/W2086836292","https://openalex.org/W2354083748","https://openalex.org/W2357949222","https://openalex.org/W4313650933","https://openalex.org/W2068874688","https://openalex.org/W3207460402","https://openalex.org/W3112178369","https://openalex.org/W3094185001","https://openalex.org/W2806431135"],"abstract_inverted_index":{"The":[0,126,167],"objective":[1],"of":[2,29,82,145,149,179,188,210,217,228],"this":[3,113],"study":[4,168],"was":[5,57],"to":[6,18,59,107,121,135,159],"gain":[7],"valuable":[8],"insights":[9],"into":[10,132],"retailer":[11,61,140,150],"behavior":[12],"and":[13,97,103,164,213,236,254],"develop":[14],"a":[15,26,52,65,89,184,226],"predictive":[16],"model":[17,67,86,134,172],"inform":[19],"their":[20,156,201,241,251,256],"purchasing":[21,252],"decisions.":[22,141],"This":[23,244],"process":[24],"involved":[25],"comprehensive":[27,245],"analysis":[28],"the":[30,47,50,85,98,123,146,171,208,215,218],"various":[31],"factors":[32],"that":[33,170,198],"influence":[34],"retailers":[35],"when":[36,181,239],"they":[37],"make":[38],"choices":[39],"regarding":[40],"product":[41],"or":[42],"service":[43],"purchases.":[44],"To":[45,111],"gather":[46],"data":[48,63],"for":[49],"study,":[51],"simple":[53],"random":[54],"sampling":[55],"method":[56],"employed":[58],"extract":[60],"purchase":[62,157],"from":[64],"mathematical":[66],"using":[68],"Excel":[69,72],"Solver.":[70],"While":[71],"Solver":[73],"can":[74,153],"determine":[75],"optimal":[76],"solutions":[77],"quickly":[78],"but,":[79],"with":[80,161,183],"hundreds":[81],"retailers,":[83],"reoptimizing":[84],"every":[87],"time":[88],"price":[90],"is":[91,94,196],"changed":[92],"it":[93,195],"not":[95],"practical":[96],"manufacturer":[99,133],"must":[100],"contact":[101],"trial":[102],"error":[104],"many":[105],"times":[106],"optimize":[108,250],"has":[109],"price.":[110],"address":[112],"challenge,":[114],"Artificial":[115],"Neural":[116],"Network":[117],"techniques":[118],"were":[119,129],"utilized":[120],"analyze":[122],"sample":[124],"data.":[125],"resulting":[127],"equations":[128],"subsequently":[130],"integrated":[131],"assist":[136],"manufacturers":[137,152,199,223,249],"in":[138],"forecasting":[139],"With":[142],"an":[143,174],"understanding":[144],"expected":[147,237],"patterns":[148],"behavior,":[151],"strategically":[154],"plan":[155],"orders":[158,206],"align":[160],"different":[162],"promotion":[163],"marketing":[165],"strategies.":[166],"demonstrated":[169],"achieved":[173],"average":[175],"minimum":[176],"cost":[177],"increase":[178],"5.02%":[180],"tested":[182],"new":[185],"dataset":[186],"consisting":[187],"5,000":[189],"retailers.":[190],"Based":[191],"on":[192],"these":[193],"findings,":[194],"recommended":[197],"adjust":[200],"order":[202,242],"policies":[203],"by":[204],"placing":[205],"at":[207],"beginning":[209],"period":[211],"2":[212],"making":[214],"most":[216],"earliest":[219],"discount":[220],"period.":[221],"Furthermore,":[222],"should":[224],"consider":[225],"range":[227],"factors,":[229],"including":[230],"total":[231],"holding":[232],"cost,":[233,235],"reorder":[234],"demand,":[238],"formulating":[240],"policies.":[243],"approach":[246],"will":[247],"help":[248],"decisions":[253],"enhance":[255],"overall":[257],"operational":[258],"efficiency.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
