{"id":"https://openalex.org/W7154707710","doi":"https://doi.org/10.1109/iwcia68353.2025.11479772","title":"Inventory Control Using a Drifted Poisson Process: Applicability to Actual Intermittent Demand Data","display_name":"Inventory Control Using a Drifted Poisson Process: Applicability to Actual Intermittent Demand Data","publication_year":2025,"publication_date":"2025-12-06","ids":{"openalex":"https://openalex.org/W7154707710","doi":"https://doi.org/10.1109/iwcia68353.2025.11479772"},"language":null,"primary_location":{"id":"doi:10.1109/iwcia68353.2025.11479772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia68353.2025.11479772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 14th International Workshop on Computational Intelligence and Applications (IWCIA)","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/A5119444392","display_name":"Ryoya Koide","orcid":null},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]},{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryoya Koide","raw_affiliation_strings":["Tokyo University of Science,Department of Mathematics,Chiba,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Department of Mathematics,Chiba,Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I161296585","https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112998961","display_name":"Yurika Ono","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yurika Ono","raw_affiliation_strings":["Tokyo University of Science,Department of Industrial and Systems Engineering,Chiba,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Department of Industrial and Systems Engineering,Chiba,Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012210536","display_name":"Aya Ishigaki","orcid":"https://orcid.org/0000-0002-1846-2110"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aya Ishigaki","raw_affiliation_strings":["Tokyo University of Science,Department of Industrial and Systems Engineering,Chiba,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science,Department of Industrial and Systems Engineering,Chiba,Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119444392"],"corresponding_institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669","https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83132937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.4934999942779541,"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"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.4934999942779541,"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"}},{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.19290000200271606,"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"}},{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","score":0.06729999929666519,"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/control","display_name":"Control (management)","score":0.420199990272522},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.40950000286102295},{"id":"https://openalex.org/keywords/inventory-control","display_name":"Inventory control","score":0.38989999890327454},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.3490999937057495},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.2847000062465668},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.2840999960899353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4366999864578247},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.40950000286102295},{"id":"https://openalex.org/C117938511","wikidata":"https://www.wikidata.org/wiki/Q3634830","display_name":"Inventory control","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37549999356269836},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30230000615119934},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3001999855041504},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29280000925064087},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2840999960899353},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcia68353.2025.11479772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia68353.2025.11479772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 14th International Workshop on Computational Intelligence and Applications (IWCIA)","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":12,"referenced_works":["https://openalex.org/W1989787309","https://openalex.org/W2099639456","https://openalex.org/W2114733835","https://openalex.org/W2125142831","https://openalex.org/W2804166218","https://openalex.org/W2999406809","https://openalex.org/W3181277810","https://openalex.org/W4220697215","https://openalex.org/W4285794683","https://openalex.org/W4391233944","https://openalex.org/W4406225310","https://openalex.org/W4413734640"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"numerous":[3],"approaches":[4],"for":[5,88,166],"forecasting":[6,31],"and":[7,51,91,117],"inventory":[8,36,82,137,170],"control":[9,83],"in":[10,56,168],"intermittent":[11],"demand":[12,57],"patterns":[13],"have":[14,52,80],"been":[15,53],"proposed.":[16],"However,":[17,59],"most":[18,60],"of":[19,111,127,136],"these":[20],"studies":[21,79],"focus":[22],"exclusively":[23],"on":[24,65,114,153],"point":[25,142],"forecasts,":[26],"with":[27,132],"few":[28],"incorporating":[29],"stochastic":[30,41],"methods":[32,67],"while":[33,94],"also":[34,95],"considering":[35],"control.":[37],"Levy":[38],"processes":[39,42,113],"are":[40],"that":[43,68,85,147,157],"can":[44,162],"be":[45,163],"formulated":[46,81,129],"to":[47,99],"incorporate":[48],"discontinuous":[49,71,92],"changes":[50],"previously":[54],"employed":[55],"forecasting.":[58],"existing":[61],"research":[62],"has":[63],"focused":[64],"prediction":[66],"consider":[69],"only":[70],"changes,":[72],"such":[73],"as":[74],"compound":[75],"Poisson":[76],"processes.":[77],"No":[78],"models":[84],"simultaneously":[86],"account":[87],"both":[89],"continuous":[90],"components":[93],"examining":[96],"their":[97],"applicability":[98],"real-world":[100],"data.":[101],"To":[102],"address":[103],"this":[104,106],"gap,":[105],"study":[107],"performs":[108],"parameter":[109],"estimation":[110],"jump":[112],"actual":[115],"data":[116],"evaluates":[118],"the":[119,124,128,133,148,158],"model's":[120],"utility":[121],"by":[122],"comparing":[123],"expected":[125,159],"value":[126],"total":[130,134,160],"cost":[131,135,161],"controlled":[138],"using":[139],"an":[140],"ordering":[141],"method.":[143],"The":[144],"results":[145],"demonstrate":[146],"error":[149],"becomes":[150],"extremely":[151],"small":[152],"short":[154],"timescales,":[155],"confirming":[156],"effectively":[164],"utilized":[165],"decision-making":[167],"short-term":[169],"management.":[171]},"counts_by_year":[],"updated_date":"2026-04-19T06:08:04.723047","created_date":"2026-04-18T00:00:00"}