{"id":"W1677257499","doi":"10.1109/cdc.1994.410982","title":"Optimal hedging surface policy for manufacturing flow and preventive maintenance","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Preventive maintenance; Production (economics); Failure rate; Constant (computer programming); Function (biology); Mathematical optimization; Time horizon; Commodity; Computer science; Production rate; Mathematics; Reliability engineering; Economics; Engineering; Statistics; Process engineering; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001978831,0.0007408166,0.001042836,0.000686737,0.0003413858,0.001562627,0.001013937,0.001301301,0.004643437],"category_scores_gemma":[0.004844499,0.00055988,0.000479608,0.0004521652,0.0009770138,0.001792768,0.0006588032,0.001171521,0.0003438836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590201,"about_ca_system_score_gemma":0.0011196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880159,"about_ca_topic_score_gemma":0.000894087,"domain_scores_codex":[0.9992543,0.0003177862,0.00002507551,0.0001214938,0.0001367674,0.0001445412],"domain_scores_gemma":[0.9985601,0.0008842192,0.0001814103,0.0001066389,0.0001466477,0.0001209309],"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":[0.0002306772,0.000106112,0.0004897381,0.00007816128,0.00002905037,0.00007623478,0.00006660117,0.9195233,0.002858802,0.04751153,0.001173233,0.02785655],"study_design_scores_gemma":[0.00002929159,0.00008234969,0.0002669408,0.000009931465,0.00001125224,0.00001304802,0.00001414338,0.9797491,0.0006202881,0.01862252,0.0005716401,0.000009509687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1966784,0.001145946,0.78725,0.001028452,0.0001470689,0.0001592884,0.0001785196,0.0006712147,0.01274114],"genre_scores_gemma":[0.975104,0.0003149268,0.02035781,0.00007201081,0.00003623867,0.00005464821,0.00006350593,0.00004072827,0.003956112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004643437,"threshold_uncertainty_score":0.01553386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124135102697224,"score_gpt":0.2295117920851947,"score_spread":0.2170982818154723,"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."}}