{"id":"W3034347614","doi":"10.71781/10847","title":"Stochastic optimization of staffing for multiskill call centers","year":2019,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport; Université de Montréal; Hydro-Québec","keywords":"Staffing; Stochastic optimization; Computer science; Operations research; Mathematical optimization; Mathematics; Economics; Management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002326975,0.0008928741,0.001481379,0.0006348399,0.0007238459,0.002046854,0.001591673,0.001646664,0.005587223],"category_scores_gemma":[0.005935142,0.0007896695,0.001065193,0.0007312208,0.0008812635,0.001169701,0.001144468,0.0014501,0.0004890409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003269407,"about_ca_system_score_gemma":0.002078506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495479,"about_ca_topic_score_gemma":0.0110339,"domain_scores_codex":[0.998804,0.000435202,0.00004030901,0.0002337888,0.0002277619,0.0002589536],"domain_scores_gemma":[0.9976521,0.001476337,0.0003048628,0.0000915778,0.0002491171,0.0002260638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004211178,0.00001407544,0.0003503895,0.00003081827,0.0000108562,0.00001608073,0.00002590594,0.9907513,0.0004926146,0.003547246,0.0003260668,0.004392509],"study_design_scores_gemma":[0.000006241143,0.00002223273,0.0003212999,0.000007696288,0.000005671944,0.000007823289,0.00001737163,0.9969893,0.0002060611,0.002062759,0.0003471218,0.000006390269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1064156,0.000982515,0.8826591,0.001229347,0.0001268497,0.0001190643,0.0003144749,0.0003986361,0.00775444],"genre_scores_gemma":[0.8997865,0.0007149326,0.08656777,0.0001598389,0.00009641944,0.0001907494,0.0002307465,0.0002261709,0.01202689],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01495479,"threshold_uncertainty_score":0.02973545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004865129990927832,"score_gpt":0.1780326187358718,"score_spread":0.1731674887449439,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}