{"id":"https://openalex.org/W4256225575","doi":"https://doi.org/10.1109/wsc.2013.6721464","title":"A Bayesian approach for modeling and analysis of call center arrivals","display_name":"A Bayesian approach for modeling and analysis of call center arrivals","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W4256225575","doi":"https://doi.org/10.1109/wsc.2013.6721464"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2013.6721464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721464","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations 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/A5005200661","display_name":"Xiaowei Zhang","orcid":"https://orcid.org/0000-0002-5798-646X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xiaowei Zhang","raw_affiliation_strings":["Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Hong Kong, CHINA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Hong Kong, CHINA","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005200661"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.4811,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67086614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"713","last_page":"723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.7817000150680542,"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"}},"topics":[{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.7817000150680542,"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"}},{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.7696999907493591,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.7580999732017517,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.7212662696838379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6971601247787476},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6094669699668884},{"id":"https://openalex.org/keywords/markovian-arrival-process","display_name":"Markovian arrival process","score":0.6024919748306274},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.5298293232917786},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5195969939231873},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45886844396591187},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42159390449523926},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4153786301612854},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3987200856208801},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33740031719207764},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2691666781902313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21717342734336853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1646738052368164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14503124356269836}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.7212662696838379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6971601247787476},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6094669699668884},{"id":"https://openalex.org/C192163390","wikidata":"https://www.wikidata.org/wiki/Q612061","display_name":"Markovian arrival process","level":3,"score":0.6024919748306274},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.5298293232917786},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5195969939231873},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45886844396591187},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42159390449523926},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4153786301612854},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3987200856208801},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33740031719207764},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2691666781902313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21717342734336853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1646738052368164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14503124356269836},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2013.6721464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721464","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-60935","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2013&rft.spage=713&rft.aulast=Zhang&rft.aufirst=Xiaowei%7Cehkust-staff%7Cu%20%7Cmxiaoweiz%40ust.hk%7CdIELM%7Ck0000000000000000178456&rft.atitle=A%20Bayesian%20Approach%20for%20Modeling%20and%20Analysis%20of%20Call%20Center%20Arrivals&rft.title=Proceedings%20of%20the%202013%20Winter%20Simulation%20Conference%20-%20Simulation%3A%20Making%20Decisions%20in%20a%20Complex%20World%2C%20WSC%202013","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W247315520","https://openalex.org/W1986745336","https://openalex.org/W2039698234","https://openalex.org/W2074178270","https://openalex.org/W2083875149","https://openalex.org/W2098581273","https://openalex.org/W2108246181","https://openalex.org/W2117095967","https://openalex.org/W2119338125","https://openalex.org/W2124438244","https://openalex.org/W2128127839","https://openalex.org/W2142566284","https://openalex.org/W2165180682","https://openalex.org/W2994982620","https://openalex.org/W4211042066","https://openalex.org/W4232383088","https://openalex.org/W4255582690","https://openalex.org/W4299094297","https://openalex.org/W6609336748"],"related_works":["https://openalex.org/W4366563794","https://openalex.org/W1978359496","https://openalex.org/W2084538642","https://openalex.org/W2184541843","https://openalex.org/W4236668082","https://openalex.org/W2387184232","https://openalex.org/W1979678609","https://openalex.org/W2884303440","https://openalex.org/W3149607936","https://openalex.org/W2967705515"],"abstract_inverted_index":{"The":[0,64],"Poisson":[1,42],"process":[2,28,72],"has":[3,29],"been":[4,21],"widely":[5],"used":[6],"in":[7],"the":[8,25,54,58,69],"literature":[9],"to":[10],"model":[11,43,65],"call":[12,26,45,70],"center":[13,46],"arrivals.":[14],"In":[15,33],"recent":[16],"years,":[17],"however,":[18],"there":[19],"have":[20],"empirical":[22],"studies":[23],"suggesting":[24],"arrival":[27,71],"significant":[30],"non-Poisson":[31],"characteristics.":[32],"this":[34],"paper,":[35],"we":[36],"introduce":[37],"a":[38,50,76],"new":[39],"doubly":[40],"stochastic":[41],"for":[44,53],"arrivals":[47],"and":[48],"develop":[49],"Bayesian":[51],"approach":[52],"parameter":[55],"estimation":[56],"via":[57],"Markov":[59],"chain":[60],"Monte":[61],"Carlo":[62],"method.":[63],"can":[66],"well":[67],"capture":[68],"as":[73],"illustrated":[74],"by":[75],"case":[77],"study.":[78]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}