{"id":"https://openalex.org/W4288049618","doi":"https://doi.org/10.1145/3524383.3524396","title":"Sales forecasting for Chemical Products by Using SARIMA Model","display_name":"Sales forecasting for Chemical Products by Using SARIMA Model","publication_year":2022,"publication_date":"2022-02-26","ids":{"openalex":"https://openalex.org/W4288049618","doi":"https://doi.org/10.1145/3524383.3524396"},"language":"en","primary_location":{"id":"doi:10.1145/3524383.3524396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524383.3524396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data and Education","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/A5062194603","display_name":"Heng Zhao","orcid":"https://orcid.org/0000-0002-8505-6649"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhao","raw_affiliation_strings":["College of BigData and Internet, Shenzhen Technology University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of BigData and Internet, Shenzhen Technology University, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021716189","display_name":"Xumin Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xumin Zuo","raw_affiliation_strings":["College of BigData and Internet, Shenzhen Technology University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of BigData and Internet, Shenzhen Technology University, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100998705","display_name":"Peisong Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peisong Lin","raw_affiliation_strings":["College of BigData and Internet, Shenzhen Technology University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of BigData and Internet, Shenzhen Technology University, China","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210152380"],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53192102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"419","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9962000250816345,"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":0.9962000250816345,"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":0.9887999892234802,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9542999863624573,"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/sales-forecasting","display_name":"Sales forecasting","score":0.869121789932251},{"id":"https://openalex.org/keywords/sales-management","display_name":"Sales management","score":0.7864181995391846},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.7337172627449036},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.6455701589584351},{"id":"https://openalex.org/keywords/chemical-company","display_name":"Chemical company","score":0.6078047752380371},{"id":"https://openalex.org/keywords/box\u2013jenkins","display_name":"Box\u2013Jenkins","score":0.5476651191711426},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5462360978126526},{"id":"https://openalex.org/keywords/sales-journal","display_name":"Sales journal","score":0.5457013845443726},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.4625591039657593},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.455064982175827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4421481192111969},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.42144694924354553},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3407300114631653},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3401374816894531},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2930675148963928},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20385345816612244},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19086992740631104}],"concepts":[{"id":"https://openalex.org/C2984642479","wikidata":"https://www.wikidata.org/wiki/Q7404320","display_name":"Sales forecasting","level":2,"score":0.869121789932251},{"id":"https://openalex.org/C139749660","wikidata":"https://www.wikidata.org/wiki/Q5657855","display_name":"Sales management","level":2,"score":0.7864181995391846},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.7337172627449036},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.6455701589584351},{"id":"https://openalex.org/C2992686539","wikidata":"https://www.wikidata.org/wiki/Q207652","display_name":"Chemical company","level":2,"score":0.6078047752380371},{"id":"https://openalex.org/C82257358","wikidata":"https://www.wikidata.org/wiki/Q895497","display_name":"Box\u2013Jenkins","level":4,"score":0.5476651191711426},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5462360978126526},{"id":"https://openalex.org/C80284016","wikidata":"https://www.wikidata.org/wiki/Q7404317","display_name":"Sales journal","level":3,"score":0.5457013845443726},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.4625591039657593},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.455064982175827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4421481192111969},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.42144694924354553},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3407300114631653},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3401374816894531},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2930675148963928},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20385345816612244},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19086992740631104},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3524383.3524396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524383.3524396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data and Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1514519371","https://openalex.org/W1972885193","https://openalex.org/W2012715891","https://openalex.org/W2092315180","https://openalex.org/W2240536489","https://openalex.org/W2592023122","https://openalex.org/W2885195348","https://openalex.org/W2887451828","https://openalex.org/W2901657898","https://openalex.org/W2979858166","https://openalex.org/W2984376566","https://openalex.org/W2990268217","https://openalex.org/W3000500483","https://openalex.org/W3092888091","https://openalex.org/W3128040422","https://openalex.org/W4213176465","https://openalex.org/W4244702471","https://openalex.org/W4246511389","https://openalex.org/W4249224151","https://openalex.org/W6601630192","https://openalex.org/W6759895182"],"related_works":["https://openalex.org/W1583194639","https://openalex.org/W1134569183","https://openalex.org/W2993010527","https://openalex.org/W3081646437","https://openalex.org/W2910845957","https://openalex.org/W3212337743","https://openalex.org/W642949518","https://openalex.org/W3131459177","https://openalex.org/W2325960011","https://openalex.org/W4288049618"],"abstract_inverted_index":{"Sales":[0,16,171,186],"forecasting":[1,17,60,117,187],"is":[2,74,84,95,109,122,183],"widely":[3],"used":[4,85,96,110],"in":[5,146,168,173,185],"enterprise":[6],"resource":[7],"management,":[8],"which":[9,139],"provides":[10],"valuable":[11],"information":[12],"for":[13,59,70,188],"efficient":[14],"management.":[15],"facilitates":[18],"the":[19,30,48,51,61,71,77,88,92,99,113,120,131,147,154,160,165,169,180,189],"company":[20],"to":[21,86,97,111,135,163],"produce":[22],"and":[23,46,91],"stock":[24],"products":[25],"on":[26,29,76,153],"demand.":[27],"Based":[28,152],"analysis":[31],"of":[32,50,64,119,130],"time":[33,89],"series,":[34],"future":[35],"sales":[36,63,79,137,150,155,167],"can":[37],"be":[38],"predicted":[39],"through":[40],"historical":[41],"sales.":[42,115],"This":[43],"research":[44],"presents":[45],"analyses":[47],"use":[49,159],"Seasonal":[52],"Auto-Regressive":[53],"Integrated":[54],"Moving":[55],"Average":[56],"(SARIMA)":[57],"method":[58,94],"monthly":[62],"a":[65],"chemical":[66,148,190],"company.":[67],"The":[68,81,107,116,128],"dataset":[69],"SARIMA":[72,105,142,161,181],"model":[73,102,108,121,162,182],"based":[75],"company's":[78,114,149,166],"data.":[80],"Difference":[82],"Operation":[83],"stabilize":[87],"series":[90],"Box-Jenkins":[93],"select":[98],"most":[100],"suitable":[101],"among":[103],"five":[104],"models.":[106],"forecast":[112,132,164],"precision":[118],"evaluated":[123],"by":[124],"Mean":[125],"Square":[126],"Error.":[127],"results":[129,145],"are":[133],"similar":[134],"actual":[136],"data,":[138,156],"verifies":[140],"that":[141,179],"has":[143],"good":[144],"forecasting.":[151],"we":[157],"also":[158],"future.":[170],"increase":[172],"comparison":[174],"with":[175],"last":[176],"year,":[177],"indicating":[178],"useful":[184],"industry.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
