{"id":"https://openalex.org/W4381436114","doi":"https://doi.org/10.3390/systems11060311","title":"A Universality\u2013Distinction Mechanism-Based Multi-Step Sales Forecasting for Sales Prediction and Inventory Optimization","display_name":"A Universality\u2013Distinction Mechanism-Based Multi-Step Sales Forecasting for Sales Prediction and Inventory Optimization","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4381436114","doi":"https://doi.org/10.3390/systems11060311"},"language":"en","primary_location":{"id":"doi:10.3390/systems11060311","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems11060311","pdf_url":"https://www.mdpi.com/2079-8954/11/6/311/pdf?version=1687228451","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/11/6/311/pdf?version=1687228451","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073166534","display_name":"Daifeng Li","orcid":"https://orcid.org/0000-0002-6727-2153"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Daifeng Li","raw_affiliation_strings":["School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050540668","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-2649-6476"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102922688","display_name":"Fengyun Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyun Gu","raw_affiliation_strings":["School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046462646","display_name":"Ziyang Pan","orcid":"https://orcid.org/0000-0002-2139-2029"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Pan","raw_affiliation_strings":["School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034607103","display_name":"Dingquan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingquan Chen","raw_affiliation_strings":["School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Sun Yat-Sen University, Guangzhou 510275, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071086224","display_name":"Andrew Madden","orcid":"https://orcid.org/0000-0003-2305-7790"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew Madden","raw_affiliation_strings":["Information School, University of Sheffield, Sheffield S10 2TN, UK"],"affiliations":[{"raw_affiliation_string":"Information School, University of Sheffield, Sheffield S10 2TN, UK","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073166534"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":1.3735,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81473007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"11","issue":"6","first_page":"311","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"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":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6724545955657959},{"id":"https://openalex.org/keywords/universality","display_name":"Universality (dynamical systems)","score":0.5333570837974548},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4887261390686035},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4614476263523102},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4410536587238312},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.37506046891212463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3720918297767639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34090548753738403},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3315032720565796},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1263352334499359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6724545955657959},{"id":"https://openalex.org/C183992945","wikidata":"https://www.wikidata.org/wiki/Q2495574","display_name":"Universality (dynamical systems)","level":2,"score":0.5333570837974548},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4887261390686035},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4614476263523102},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4410536587238312},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.37506046891212463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720918297767639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34090548753738403},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3315032720565796},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1263352334499359},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/systems11060311","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems11060311","pdf_url":"https://www.mdpi.com/2079-8954/11/6/311/pdf?version=1687228451","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:201408","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.whiterose.ac.uk/201408/1/systems-11-00311-v2.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:ddf613b0a2ac4b88b34e60916fd77330","is_oa":true,"landing_page_url":"https://doaj.org/article/ddf613b0a2ac4b88b34e60916fd77330","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems, Vol 11, Iss 6, p 311 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2079-8954/11/6/311/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/systems11060311","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems; Volume 11; Issue 6; Pages: 311","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/systems11060311","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems11060311","pdf_url":"https://www.mdpi.com/2079-8954/11/6/311/pdf?version=1687228451","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1474933932","display_name":null,"funder_award_id":"72074231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2410934170","display_name":null,"funder_award_id":"101002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5307418924","display_name":null,"funder_award_id":"2019A101002020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381436114.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1965159052","https://openalex.org/W2166304961","https://openalex.org/W2295598076","https://openalex.org/W2604847698","https://openalex.org/W2613328025","https://openalex.org/W2783038087","https://openalex.org/W2889059162","https://openalex.org/W2901462862","https://openalex.org/W2908436424","https://openalex.org/W2911964244","https://openalex.org/W2954731415","https://openalex.org/W2962752580","https://openalex.org/W2970891497","https://openalex.org/W2979352525","https://openalex.org/W2980994438","https://openalex.org/W2988044524","https://openalex.org/W2998367712","https://openalex.org/W3011667374","https://openalex.org/W3029422813","https://openalex.org/W3040211378","https://openalex.org/W3085198501","https://openalex.org/W3118838793","https://openalex.org/W3126417740","https://openalex.org/W3129156150","https://openalex.org/W3139885963","https://openalex.org/W3157262582","https://openalex.org/W3158101331","https://openalex.org/W3166583782","https://openalex.org/W3169459683","https://openalex.org/W3171884590","https://openalex.org/W3175244446","https://openalex.org/W3176196442","https://openalex.org/W3177318507","https://openalex.org/W3190152617","https://openalex.org/W3190511629","https://openalex.org/W3198639513","https://openalex.org/W3203900449","https://openalex.org/W4210521948","https://openalex.org/W4213192596","https://openalex.org/W4282929984","https://openalex.org/W6739901393","https://openalex.org/W6771853197","https://openalex.org/W6783011347","https://openalex.org/W6786852218","https://openalex.org/W6791332138","https://openalex.org/W6801808793","https://openalex.org/W6851386397"],"related_works":["https://openalex.org/W332573842","https://openalex.org/W3115068090","https://openalex.org/W2204741347","https://openalex.org/W2170133876","https://openalex.org/W1587914261","https://openalex.org/W2370848225","https://openalex.org/W88570232","https://openalex.org/W1955000819","https://openalex.org/W4295724953","https://openalex.org/W2380830832"],"abstract_inverted_index":{"Sales":[0],"forecasting":[1,34],"is":[2,12,88,110,186],"a":[3,37,107,133,165,179,221],"highly":[4],"practical":[5,253],"application":[6],"of":[7,48,84,128,149,154,192,209,255,285],"time":[8,65,77,86,104,167],"series":[9,66,78,87,105,122,168],"prediction.":[10],"It":[11],"used":[13],"to":[14,21,115,124,161,170,188,203,248],"help":[15],"enterprises":[16],"identify":[17],"and":[18,24,43,60,94,123,151,212,226,239,252,268,274,277,296],"utilize":[19],"information":[20,74,119],"reduce":[22],"costs":[23],"maximize":[25],"profits.":[26],"For":[27],"example,":[28],"in":[29,164,196,216,283],"numerous":[30],"manufacturing":[31],"enterprises,":[32],"sales":[33,85,108,121,129,155,199],"serves":[35],"as":[36],"key":[38],"indicator":[39],"for":[40],"inventory":[41,210],"optimization":[42,211],"directly":[44],"influences":[45],"the":[46,72,76,92,99,126,146,162,177,190,193,205,235,250,256,260,263,271,280,286],"level":[47],"cost":[49],"savings.":[50],"However,":[51],"existing":[52],"research":[53],"methods":[54],"mainly":[55],"focus":[56],"on":[57,234,270,279],"detecting":[58],"sequences":[59,150],"local":[61],"correlations":[62],"from":[63,120],"multivariate":[64],"(MTS),":[67],"but":[68],"seldom":[69],"consider":[70],"modeling":[71],"distinct":[73,100],"among":[75],"within":[79,106],"MTS.":[80,200],"The":[81],"prediction":[82],"accuracy":[83,127,215],"significantly":[89],"influenced":[90],"by":[91],"dynamic":[93],"complex":[95,171],"environment,":[96],"so":[97],"identifying":[98],"signals":[101],"between":[102],"different":[103],"MTS":[109],"more":[111,117],"important.":[112],"In":[113,176,201],"order":[114],"extract":[116],"valuable":[118],"enhance":[125],"prediction,":[130,218],"we":[131,219,245],"devised":[132],"universality\u2013distinction":[134],"mechanism":[135],"(UDM)":[136],"framework":[137],"that":[138],"can":[139],"predict":[140],"future":[141],"multi-step":[142,217],"sales.":[143],"Universality":[144],"represents":[145],"instinctive":[147],"features":[148],"correlation":[152],"patterns":[153],"with":[156,243,259],"similar":[157],"contexts.":[158],"Distinction":[159],"corresponds":[160],"fluctuations":[163],"specific":[166,206],"due":[169],"or":[172],"unobserved":[173],"influencing":[174],"factors.":[175],"mechanism,":[178],"query-sparsity":[180],"measurement":[181],"(QSM)-based":[182],"attention":[183],"calculation":[184],"method":[185],"proposed":[187,194],"improve":[189,204],"efficiency":[191],"model":[195],"processing":[197],"large-scale":[198],"addition,":[202],"decision-making":[207],"scenario":[208],"ensure":[213],"stable":[214],"use":[220],"joint":[222],"Pin-DTW":[223],"(Pinball":[224],"loss":[225,230],"Dynamic":[227],"Time":[228],"Warping)":[229],"function.":[231],"Through":[232],"experiments":[233],"public":[236],"Cainiao":[237,281],"dataset,":[238,282],"via":[240],"our":[241],"cooperation":[242],"Galanz,":[244],"are":[246,265],"able":[247],"demonstrate":[249],"effectiveness":[251],"value":[254],"model.":[257],"Compared":[258],"best":[261],"baseline,":[262],"improvements":[264],"57.27%,":[266],"50.68%,":[267],"35.26%":[269],"Galanz":[272],"dataset":[273],"16.58%,":[275],"6.07%,":[276],"5.27%":[278],"terms":[284],"MAE":[287],"(Mean":[288,292],"Absolute":[289,293],"Error),":[290,295],"MAPE":[291],"Percentage":[294],"RMSE":[297],"(Root":[298],"Mean":[299],"Squared":[300],"Error).":[301]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
