{"id":"https://openalex.org/W4313138863","doi":"https://doi.org/10.1145/3564858.3564884","title":"Establishment of Multi-type Differentiated Warehouse KPI Evaluation System Based on Principal Component Analysis","display_name":"Establishment of Multi-type Differentiated Warehouse KPI Evaluation System Based on Principal Component Analysis","publication_year":2022,"publication_date":"2022-08-26","ids":{"openalex":"https://openalex.org/W4313138863","doi":"https://doi.org/10.1145/3564858.3564884"},"language":"en","primary_location":{"id":"doi:10.1145/3564858.3564884","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564858.3564884","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 the 5th International Conference on Information Management and Management Science","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3564858.3564884","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051454706","display_name":"He Si Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"He Si Yuan","raw_affiliation_strings":["School of management, Guangdong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of management, Guangdong University of Science and Technology, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068735984","display_name":"Xuan Zhi Xin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuan Zhi Xin","raw_affiliation_strings":["School of management, Guangdong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of management, Guangdong University of Science and Technology, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051454706"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2893,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60622588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9240000247955322,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/warehouse","display_name":"Warehouse","score":0.8656041026115417},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.7723058462142944},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6543409824371338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.590766966342926},{"id":"https://openalex.org/keywords/dimensional-modeling","display_name":"Dimensional modeling","score":0.5600235462188721},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5596050024032593},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4117478132247925},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.24500757455825806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07508370280265808}],"concepts":[{"id":"https://openalex.org/C50416739","wikidata":"https://www.wikidata.org/wiki/Q181623","display_name":"Warehouse","level":2,"score":0.8656041026115417},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.7723058462142944},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6543409824371338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.590766966342926},{"id":"https://openalex.org/C143008350","wikidata":"https://www.wikidata.org/wiki/Q3432172","display_name":"Dimensional modeling","level":2,"score":0.5600235462188721},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5596050024032593},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4117478132247925},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.24500757455825806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07508370280265808},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3564858.3564884","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564858.3564884","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 the 5th International Conference on Information Management and Management Science","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3564858.3564884","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3564858.3564884","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 the 5th International Conference on Information Management and Management Science","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2093709820","https://openalex.org/W2128728535","https://openalex.org/W2921889172","https://openalex.org/W4253135090","https://openalex.org/W6633204899"],"related_works":["https://openalex.org/W2369215403","https://openalex.org/W2587054594","https://openalex.org/W2099525665","https://openalex.org/W1508412218","https://openalex.org/W2955514960","https://openalex.org/W2003588249","https://openalex.org/W1513469429","https://openalex.org/W56352555","https://openalex.org/W2353501069","https://openalex.org/W2389559488"],"abstract_inverted_index":{"There":[0],"are":[1],"differences":[2],"in":[3],"geographical":[4],"location,":[5],"warehouse":[6,9,34,41,47,74],"conditions":[7],"and":[8,16,51,54,93,110],"facilities":[10],"of":[11,14,20,32,65,82,99,115,134],"various":[12,67],"types":[13],"warehouses,":[15],"the":[17,30,62,76,80,100,135],"evaluation":[18,48,117],"data":[19],"warehouses":[21],"cannot":[22],"be":[23,120,127],"unified.":[24],"It":[25],"is":[26,37],"difficult":[27],"to":[28,95,108,122,129],"evaluate":[29,131],"level":[31],"each":[33],"uniformly,":[35],"which":[36],"a":[38,43,113],"challenge":[39],"for":[40],"management.Finding":[42],"suitable":[44],"multi-type":[45,132],"differentiated":[46],"index":[49],"system":[50,118],"timely":[52],"improvement":[53],"optimization":[55],"can":[56,119,126],"make":[57],"logistics":[58,72],"companies":[59],"better":[60],"understand":[61],"actual":[63],"situation":[64],"their":[66],"warehouses.In":[68],"this":[69],"paper,":[70],"A":[71],"company's":[73],"as":[75],"research":[77],"object,":[78],"through":[79],"analysis":[81,106,109],"multiple":[83],"influencing":[84],"factors,":[85,102],"finally":[86],"comprehensive":[87],"screening":[88],"storage":[89],"ability,":[90],"operating":[91],"ability":[92,94],"use":[96],"human":[97],"resources":[98],"three":[101],"using":[103],"principal":[104],"component":[105],"(PCA)":[107],"calculation,":[111],"obtained":[112],"type":[114],"KPI":[116],"applied":[121],"all":[123],"warehouse,":[124],"it":[125],"used":[128],"scientifically":[130],"differentiation":[133],"warehouse.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}