{"id":"https://openalex.org/W2082010219","doi":"https://doi.org/10.1080/07408170208928884","title":"A simple linear heuristic for the service constrained random yield problem","display_name":"A simple linear heuristic for the service constrained random yield problem","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2082010219","doi":"https://doi.org/10.1080/07408170208928884","mag":"2082010219"},"language":"en","primary_location":{"id":"doi:10.1080/07408170208928884","doi":"https://doi.org/10.1080/07408170208928884","is_oa":false,"landing_page_url":"https://doi.org/10.1080/07408170208928884","pdf_url":null,"source":{"id":"https://openalex.org/S63835026","display_name":"IIE Transactions","issn_l":"0740-817X","issn":["0740-817X","1545-8830"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","cwts-core","jufo-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IIE Transactions","raw_type":"journal-article"},"volume":null,"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/A5078448136","display_name":"Yehuda Bassok","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YEHUDA BASSOK","raw_affiliation_strings":["Department of Information and Management Science, Marshall School of Business, University of Southern, Los Angeles, California CA, 90089, USA E-mail: yehuda.bassok@marshall.usc.edu","Department of Information and Management Science, Marshall School of Business, University of Southern California, Los Angeles, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Management Science, Marshall School of Business, University of Southern, Los Angeles, California CA, 90089, USA E-mail: yehuda.bassok@marshall.usc.edu","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Information and Management Science, Marshall School of Business, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087845868","display_name":"Wallace J. Hopp","orcid":"https://orcid.org/0000-0003-1586-8606","observed_orcids":["https://orcid.org/0000-0003-1586-8606"]},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"WALLACE J. HOPP","raw_affiliation_strings":["Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, 60208, USA E-mail: hopp@northwestern.edu","Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, 60208, USA E-mail: hopp@northwestern.edu","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029446524","display_name":"Manisha Rohatgi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MANISHA ROHATGI","raw_affiliation_strings":["Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, 60208, USA E-mail: hopp@northwestern.edu","Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, 60208, USA E-mail: hopp@northwestern.edu","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.32061921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"34","issue":"5","first_page":"479","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9994999766349792,"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":0.9994999766349792,"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/T13706","display_name":"Management and Optimization Techniques","score":9.999999747378752e-05,"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/T10539","display_name":"Sustainable Supply Chain Management","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-yield","display_name":"random yield","score":0.878000020980835},{"id":"https://openalex.org/keywords/service-level-constraints","display_name":"service level constraints","score":0.8849999904632568},{"id":"https://openalex.org/keywords/inventory-cost-reduction","display_name":"inventory cost minimization","score":0.7300000190734863},{"id":"https://openalex.org/keywords/periodic-demand","display_name":"periodic demand","score":0.4690000116825104}],"concepts":[{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.8021482229232788},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.7231548428535461},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7119541168212891},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.570213794708252},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5228779315948486},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.48867014050483704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47027307748794556},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.4496021866798401},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4228772222995758},{"id":"https://openalex.org/C200941418","wikidata":"https://www.wikidata.org/wiki/Q273508","display_name":"Inflation (cosmology)","level":2,"score":0.41217151284217834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4069591164588928},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C33332235","wikidata":"https://www.wikidata.org/wiki/Q18362","display_name":"Theoretical physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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:10.1080/07408170208928884","doi":"https://doi.org/10.1080/07408170208928884","is_oa":false,"landing_page_url":"https://doi.org/10.1080/07408170208928884","pdf_url":null,"source":{"id":"https://openalex.org/S63835026","display_name":"IIE Transactions","issn_l":"0740-817X","issn":["0740-817X","1545-8830"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","cwts-core","jufo-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IIE Transactions","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307762","display_name":"International Business Machines Corporation","ror":"https://ror.org/05hh8d621"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1510048290","https://openalex.org/W1567476362","https://openalex.org/W1973475064","https://openalex.org/W1999050594","https://openalex.org/W2020087076","https://openalex.org/W2092132298","https://openalex.org/W2130311007","https://openalex.org/W4300175769"],"related_works":["https://openalex.org/W1973643330","https://openalex.org/W7095462503","https://openalex.org/W3150156746","https://openalex.org/W2130311007","https://openalex.org/W2028783650","https://openalex.org/W1575590744","https://openalex.org/W69385229","https://openalex.org/W2040693969","https://openalex.org/W2055321916","https://openalex.org/W2002421543"],"abstract_inverted_index":{"We":[0,54],"consider":[1],"the":[2,15,19,37,51,73,103,126,136,148,162],"problem":[3,35],"of":[4,39,60,65,75,91,106,168],"setting":[5],"order":[6],"quantities":[7],"for":[8,77,135],"purchased":[9],"components":[10],"subject":[11,44],"to":[12,45,84,95,157],"uncertainty":[13],"in":[14],"delivery":[16],"amounts.":[17],"Assuming":[18],"periodic":[20],"production":[21],"volumes":[22],"(demands)to":[23],"be":[24,68,96],"known":[25],"and":[26,81,153],"constant,":[27],"we":[28,71,101,118,124],"model":[29,93],"this":[30,83,92,143],"as":[31,100],"a":[32,46,110,120,132,158,166],"random":[33,61,78],"yield":[34,79],"with":[36],"objective":[38],"minimizing":[40],"average":[41],"inventory":[42],"cost":[43],"service":[47,66,76],"level":[48],"constraint":[49],"over":[50],"infinite":[52],"horizon.":[53],"first":[55],"demonstrate":[56],"that":[57,130,142],"under":[58],"conditions":[59],"yield,":[62],"conventional":[63],"definitions":[64],"can":[67,145],"inappropriate.":[69],"Then":[70],"refine":[72],"definition":[74],"cases":[80],"use":[82],"formulate":[85],"an":[86],"optimization":[87],"model.":[88],"Exact":[89],"solution":[90,164],"proves":[94],"computationally":[97],"impractical":[98],"and,":[99],"show,":[102],"common":[104],"heuristic":[105,144],"inflating":[107],"demands":[108],"by":[109],"constant":[111,150],"proportion":[112],"is":[113],"not":[114],"robustly":[115],"accurate.":[116],"Therefore,":[117],"develop":[119],"new":[121],"heuristic,":[122],"which":[123],"term":[125],"linear":[127,133],"inflation":[128,137,151],"policy,":[129],"specifies":[131],"function":[134],"factors.":[138],"Numerical":[139],"tests":[140],"indicate":[141],"substantially":[146],"outperform":[147],"traditional":[149],"policy":[152],"works":[154],"well":[155],"relative":[156],"lower":[159],"bound":[160],"on":[161,165],"optimal":[163],"range":[167],"examples.":[169]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2016-06-24T00:00:00"}