{"id":"https://openalex.org/W2811365567","doi":"https://doi.org/10.1109/fskd.2017.8393070","title":"Intermittent demand forecasting and inventory control with multiple temporal and cross-sectional aggregation and disaggregation methods","display_name":"Intermittent demand forecasting and inventory control with multiple temporal and cross-sectional aggregation and disaggregation methods","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2811365567","doi":"https://doi.org/10.1109/fskd.2017.8393070","mag":"2811365567"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5001004108","display_name":"Ming Lei","orcid":"https://orcid.org/0000-0002-4341-2051"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Lei","raw_affiliation_strings":["Guanghua School of Management, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Guanghua School of Management, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103267523","display_name":"Zihan Yin","orcid":"https://orcid.org/0000-0002-0891-6131"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Yin","raw_affiliation_strings":["Guanghua School of Management, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Guanghua School of Management, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060973184","display_name":"Shalang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shalang Li","raw_affiliation_strings":["Guanghua School of Management, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Guanghua School of Management, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054490578","display_name":"Qian Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Tan","raw_affiliation_strings":["Department of Materials and Equipment, State Grid Corporation of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Materials and Equipment, State Grid Corporation of China, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001004108"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.5167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73600187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1969","last_page":"1977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12368","display_name":"Grey System Theory Applications","score":0.9562000036239624,"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/exponential-smoothing","display_name":"Exponential smoothing","score":0.8349746465682983},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.7651189565658569},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.6653695702552795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310358047485352},{"id":"https://openalex.org/keywords/economic-forecasting","display_name":"Economic forecasting","score":0.48368531465530396},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.47087037563323975},{"id":"https://openalex.org/keywords/technology-forecasting","display_name":"Technology forecasting","score":0.42589271068573},{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.41591277718544006},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.32714349031448364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1920536756515503},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.17605528235435486},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12429976463317871},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.07844364643096924}],"concepts":[{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.8349746465682983},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.7651189565658569},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.6653695702552795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310358047485352},{"id":"https://openalex.org/C163068380","wikidata":"https://www.wikidata.org/wiki/Q3409313","display_name":"Economic forecasting","level":2,"score":0.48368531465530396},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.47087037563323975},{"id":"https://openalex.org/C161657586","wikidata":"https://www.wikidata.org/wiki/Q1203326","display_name":"Technology forecasting","level":2,"score":0.42589271068573},{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.41591277718544006},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32714349031448364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1920536756515503},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.17605528235435486},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12429976463317871},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.07844364643096924},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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":38,"referenced_works":["https://openalex.org/W1969016008","https://openalex.org/W1969886288","https://openalex.org/W1972835575","https://openalex.org/W1973069994","https://openalex.org/W1982968515","https://openalex.org/W1983321018","https://openalex.org/W1988428768","https://openalex.org/W1994903021","https://openalex.org/W1996299864","https://openalex.org/W2010284576","https://openalex.org/W2012533076","https://openalex.org/W2016362822","https://openalex.org/W2020330575","https://openalex.org/W2030155757","https://openalex.org/W2065295848","https://openalex.org/W2073210389","https://openalex.org/W2083318797","https://openalex.org/W2099639456","https://openalex.org/W2106281346","https://openalex.org/W2109099170","https://openalex.org/W2109781455","https://openalex.org/W2116266858","https://openalex.org/W2124030982","https://openalex.org/W2136192534","https://openalex.org/W2137864425","https://openalex.org/W2150523927","https://openalex.org/W2159651898","https://openalex.org/W2166595855","https://openalex.org/W2229668941","https://openalex.org/W2342999241","https://openalex.org/W2401286758","https://openalex.org/W2537150323","https://openalex.org/W2607714372","https://openalex.org/W3122984833","https://openalex.org/W3124136503","https://openalex.org/W6676552757","https://openalex.org/W6680308420","https://openalex.org/W6712922992"],"related_works":["https://openalex.org/W4235433230","https://openalex.org/W215853987","https://openalex.org/W3081484245","https://openalex.org/W1553072606","https://openalex.org/W2036352780","https://openalex.org/W3125745298","https://openalex.org/W2141047521","https://openalex.org/W2126638593","https://openalex.org/W2171746926","https://openalex.org/W1604114150"],"abstract_inverted_index":{"This":[0],"paper":[1],"reviews":[2],"the":[3,38,42,78,104,114],"intermittent":[4],"demand":[5,51],"forecasting":[6,15,22,29,52,57,62,88,93,101,106,116],"methods":[7,16,23,89,102,107],"and":[8,13,17,20,24,86,99,103],"compares":[9],"multiple":[10,83],"temporal":[11,84],"aggregation":[12,19,85],"disaggregation":[14,21,87],"cross-sectional":[18,100],"then":[25],"proposes":[26],"a":[27,68],"new":[28],"method":[30,98],"by":[31],"combining":[32],"these":[33,50],"two":[34,61],"methods.":[35,53,117],"We":[36],"use":[37,60],"procurement":[39],"data":[40,70],"of":[41,46,56,77],"State":[43],"Grid":[44],"Corporation":[45],"China":[47],"to":[48],"study":[49,80],"In":[54],"terms":[55],"performance,":[58],"we":[59],"error":[63,94],"measurements":[64],"as":[65,67],"well":[66],"real":[69],"based":[71],"inventory":[72,111],"simulation":[73],"experiment.":[74],"The":[75],"results":[76],"case":[79],"indicate":[81],"that":[82],"will":[90,108],"generate":[91],"smaller":[92],"than":[95,113],"exponential":[96],"smoothing":[97],"combined":[105],"have":[109],"better":[110],"performance":[112],"previous":[115]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
