{"id":"https://openalex.org/W4214750942","doi":"https://doi.org/10.1109/wsc.2011.6147936","title":"The impact of product variety on logistics performance","display_name":"The impact of product variety on logistics performance","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W4214750942","doi":"https://doi.org/10.1109/wsc.2011.6147936"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2011.6147936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6147936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","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/A5021047425","display_name":"Xavier de Groote","orcid":null},"institutions":[{"id":"https://openalex.org/I102272798","display_name":"INSEAD","ror":"https://ror.org/00ghzk478","country_code":"FR","type":"education","lineage":["https://openalex.org/I102272798"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier de Groote","raw_affiliation_strings":["INSEAD, Fontainebleau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSEAD, Fontainebleau, France","institution_ids":["https://openalex.org/I102272798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034172978","display_name":"Enver Y\u00fccesan","orcid":"https://orcid.org/0000-0002-0808-6553"},"institutions":[{"id":"https://openalex.org/I102272798","display_name":"INSEAD","ror":"https://ror.org/00ghzk478","country_code":"FR","type":"education","lineage":["https://openalex.org/I102272798"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Enver Yucesan","raw_affiliation_strings":["INSEAD, Fontainebleau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSEAD, Fontainebleau, France","institution_ids":["https://openalex.org/I102272798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102272798"],"apc_list":null,"apc_paid":null,"fwci":0.5337,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78686156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"2245","last_page":"2254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9991999864578247,"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":0.9991999864578247,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/pooling","display_name":"Pooling","score":0.6635907888412476},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5916469693183899},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5495938658714294},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5247395634651184},{"id":"https://openalex.org/keywords/square-root","display_name":"Square root","score":0.4790950119495392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4771953523159027},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45218130946159363},{"id":"https://openalex.org/keywords/total-cost","display_name":"Total cost","score":0.4495941698551178},{"id":"https://openalex.org/keywords/holding-cost","display_name":"Holding cost","score":0.4294167757034302},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4286411702632904},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4278000593185425},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3549965023994446},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3305150866508484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25137391686439514},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.23749858140945435},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.217168390750885},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1930561363697052}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6635907888412476},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5916469693183899},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5495938658714294},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5247395634651184},{"id":"https://openalex.org/C11577676","wikidata":"https://www.wikidata.org/wiki/Q134237","display_name":"Square root","level":2,"score":0.4790950119495392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4771953523159027},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45218130946159363},{"id":"https://openalex.org/C182299520","wikidata":"https://www.wikidata.org/wiki/Q1289588","display_name":"Total cost","level":2,"score":0.4495941698551178},{"id":"https://openalex.org/C192365026","wikidata":"https://www.wikidata.org/wiki/Q5046829","display_name":"Holding cost","level":2,"score":0.4294167757034302},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4286411702632904},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4278000593185425},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3549965023994446},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3305150866508484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25137391686439514},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.23749858140945435},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.217168390750885},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1930561363697052},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2011.6147936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2011.6147936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.1732","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.1732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-sim.org/wsc11papers/202.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W257981660","https://openalex.org/W272785329","https://openalex.org/W654477089","https://openalex.org/W1993274166","https://openalex.org/W1993453783","https://openalex.org/W2004383684","https://openalex.org/W2009674972","https://openalex.org/W2011752888","https://openalex.org/W2012607508","https://openalex.org/W2036737495","https://openalex.org/W2038670553","https://openalex.org/W2068244955","https://openalex.org/W2100205611","https://openalex.org/W2108025541","https://openalex.org/W2128011585","https://openalex.org/W2135133355","https://openalex.org/W2135871802","https://openalex.org/W2143499340","https://openalex.org/W2987880052","https://openalex.org/W3121272664","https://openalex.org/W4242936089","https://openalex.org/W6770172434","https://openalex.org/W6983552494"],"related_works":["https://openalex.org/W4312847924","https://openalex.org/W2290216421","https://openalex.org/W2759743342","https://openalex.org/W2034269542","https://openalex.org/W2130318503","https://openalex.org/W4235691267","https://openalex.org/W3211326738","https://openalex.org/W2036681722","https://openalex.org/W2092708425","https://openalex.org/W2376967417"],"abstract_inverted_index":{"We":[0,23],"study":[1,92],"the":[2,8,18,27,31,41,50,56,62,66,75,95],"impact":[3],"of":[4,10,34,43,65,68],"product":[5,86],"variety":[6],"on":[7,53,106],"performance":[9],"a":[11,89],"simple":[12],"integrated":[13],"production-distribution":[14],"system":[15],"equivalent":[16],"to":[17,49,97],"stochastic":[19],"economic":[20],"lot-scheduling":[21],"problem.":[22],"show":[24,94],"that,":[25],"keeping":[26],"total":[28],"demand":[29],"constant,":[30],"expected":[32,57],"cost":[33,58],"inventories":[35],"and":[36],"backorders":[37],"increases":[38],"linearly":[39],"with":[40],"number":[42,67],"products.":[44,69],"This":[45],"result":[46],"is":[47],"contrary":[48],"conventional":[51],"wisdom-based":[52],"pooling":[54],"economies-whereby":[55],"would":[59],"increase":[60,76,84],"as":[61,101],"square":[63],"root":[64],"The":[70],"linear":[71],"relationship":[72],"stems":[73],"from":[74],"in":[77,85],"replenishment":[78],"lead":[79],"time":[80],"induced":[81],"by":[82],"an":[83],"variety.":[87],"In":[88],"systematic":[90],"simulation":[91],"we":[93],"phenomenon":[96],"be":[98],"quite":[99],"robust,":[100],"it":[102],"does":[103],"not":[104],"depend":[105],"load,":[107],"flexibility,":[108],"or":[109],"processing":[110],"variability.":[111]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
