{"id":"W116688643","doi":"10.1007/0-387-25477-3_3","title":"A Two-Time-Scale Approach for Production Planning in Discrete Time","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Markov chain; Limit (mathematics); Discrete time and continuous time; Mathematical optimization; State space; Class (philosophy); State (computer science); Continuous-time Markov chain; Optimal control; Mathematics; Scale (ratio); Time limit; Markov process; Production (economics); Computer science; Markov decision process; Control limits; Variable-order Markov model; Markov model; Algorithm; Engineering; Artificial intelligence; Statistics; Economics","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":[0.0005904794,0.001046586,0.0009413275,0.0005325376,0.0005545597,0.001548132,0.001963269,0.000991761,0.01165658],"category_scores_gemma":[0.001227892,0.0006878449,0.001305691,0.001566189,0.0009172662,0.002258164,0.001473263,0.002716521,0.001806087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220689,"about_ca_system_score_gemma":0.001028167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002943581,"about_ca_topic_score_gemma":0.003709178,"domain_scores_codex":[0.9995047,0.0001120089,0.00002710608,0.00008420204,0.0002332615,0.00003878563],"domain_scores_gemma":[0.9996643,0.0001688077,0.00001839624,0.00006779125,0.00005054213,0.00003017902],"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":[0.00006857514,0.0001127394,0.0001870351,0.0003237285,0.00006171483,0.0002044545,0.000109494,0.4037605,0.004690922,0.3874954,0.01254492,0.1904405],"study_design_scores_gemma":[0.00002296052,0.00003752335,0.0001220886,0.00002031286,0.00001829337,0.00006895917,0.00002171776,0.8195989,0.0007736525,0.1619486,0.01735085,0.00001610331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001315325,0.0007311027,0.9828882,0.0002779894,0.0001850647,0.00003782251,0.00005295219,0.0002962352,0.01421527],"genre_scores_gemma":[0.1234588,0.002465406,0.8487144,0.0002875007,0.0002761816,0.0003447407,0.0002446842,0.0003332882,0.02387507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01165658,"threshold_uncertainty_score":0.03899515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325482083084176,"score_gpt":0.2227197575050148,"score_spread":0.209464936674173,"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."}}