{"id":"https://openalex.org/W2784050302","doi":"https://doi.org/10.1109/coase.2017.8256181","title":"Maximizing the long-run average expected profit of a periodic-review assemble-to-order system","display_name":"Maximizing the long-run average expected profit of a periodic-review assemble-to-order system","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2784050302","doi":"https://doi.org/10.1109/coase.2017.8256181","mag":"2784050302"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2017.8256181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2017.8256181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085042079","display_name":"Yaping Zhao","orcid":"https://orcid.org/0000-0002-2971-2509"},"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":"Yaping Zhao","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030790744","display_name":"Xiaoyun Xu","orcid":"https://orcid.org/0000-0002-1783-0006"},"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":"Xiaoyun Xu","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633220","display_name":"Haidong Li","orcid":"https://orcid.org/0000-0001-9939-7164"},"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":"Haidong Li","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"674","last_page":"679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9998000264167786,"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/T10328","display_name":"Supply Chain and Inventory Management","score":0.9998000264167786,"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/T10539","display_name":"Sustainable Supply Chain Management","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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/T11729","display_name":"Product Development and Customization","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"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/profitability-index","display_name":"Profitability index","score":0.8245221376419067},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.707918643951416},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.693999171257019},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5787246227264404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5622208714485168},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.5425989031791687},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5079954266548157},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.497927188873291},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.42160019278526306},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.33907023072242737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23632016777992249},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.20857173204421997},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.12760227918624878},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.0986098051071167}],"concepts":[{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.8245221376419067},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.707918643951416},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.693999171257019},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5787246227264404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5622208714485168},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.5425989031791687},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5079954266548157},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.497927188873291},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.42160019278526306},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.33907023072242737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23632016777992249},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.20857173204421997},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.12760227918624878},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0986098051071167},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2017.8256181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2017.8256181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W57432588","https://openalex.org/W1506425194","https://openalex.org/W1989478866","https://openalex.org/W1992926909","https://openalex.org/W1996136434","https://openalex.org/W2028989529","https://openalex.org/W2060410008","https://openalex.org/W2116557920","https://openalex.org/W2117142126","https://openalex.org/W2213674941","https://openalex.org/W2412793436","https://openalex.org/W3122202669","https://openalex.org/W3122353890","https://openalex.org/W3122506559","https://openalex.org/W3124309159"],"related_works":["https://openalex.org/W294423910","https://openalex.org/W4285147705","https://openalex.org/W3094888249","https://openalex.org/W4293192221","https://openalex.org/W2756271697","https://openalex.org/W2945431064","https://openalex.org/W3048038307","https://openalex.org/W2005035240","https://openalex.org/W2013755907","https://openalex.org/W3018752162"],"abstract_inverted_index":{"This":[0,106],"study":[1,107],"considers":[2],"an":[3],"assemble-to-order":[4,116],"system":[5],"with":[6],"periodic-reviews":[7],"and":[8,29,32,68,100,118],"a":[9,47,57],"general":[10],"bill":[11],"of":[12,56,115],"materials.":[13],"The":[14],"objective":[15,39],"is":[16,44,88],"to":[17,111,121],"maximize":[18],"the":[19,38,54,61,66,72,76,85,97,101],"long-run":[20],"average":[21],"expected":[22],"profit":[23],"through":[24,46],"policies":[25,43],"including":[26],"product":[27],"price":[28,67],"component":[30],"replenishment":[31,69],"allocation.":[33],"An":[34],"upper":[35,98],"bound":[36,83,99],"on":[37,84],"for":[40],"all":[41],"feasible":[42],"established":[45],"two-stage":[48],"stochastic":[49],"programme":[50],"(SP)":[51],"which":[52],"inspires":[53],"construction":[55],"myopic":[58],"policy.":[59],"Particularly,":[60],"first-stage":[62],"SP":[63,78],"solution":[64],"specifies":[65],"decisions,":[70],"while":[71],"allocation":[73],"decision":[74],"resembles":[75],"second-stage":[77],"recourse":[79],"solution.":[80],"A":[81],"lower":[82],"optimal":[86],"policy":[87,103],"also":[89],"provided.":[90],"Numerical":[91],"experiment":[92],"results":[93],"demonstrate":[94],"that":[95],"both":[96],"proposed":[102],"are":[104],"effective.":[105],"brings":[108],"new":[109],"perspectives":[110],"supply":[112],"chain":[113],"management":[114],"systems":[117],"suggests":[119],"ways":[120],"improve":[122],"profitability.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
