{"id":"W182946123","doi":"","title":"Comparison of Deterministic and Stochastic Production Planning Approaches in Sawmills by Integrating Design of Experiments and Monte- Carlo simulation","year":2012,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Time horizon; Monte Carlo method; Production planning; Production (economics); Operations research; Stochastic programming; Scarcity; Key (lock); Mathematical optimization; Computer science; Engineering; Industrial engineering; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002353314,0.0001631838,0.0003051506,0.0007478495,0.00008816212,0.00002331212,0.0001061684,0.00013992,0.00000169164],"category_scores_gemma":[0.00005495186,0.0001907232,0.00002364776,0.00034392,0.0001046532,0.0001679938,0.00004015689,0.0002447822,1.705638e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799589,"about_ca_system_score_gemma":0.00003752984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003955158,"about_ca_topic_score_gemma":0.0004604273,"domain_scores_codex":[0.998832,0.0001525993,0.0002824742,0.0002467778,0.0002612164,0.0002249107],"domain_scores_gemma":[0.9994668,0.0001268739,0.0001323126,0.0001448661,0.00005759396,0.00007157733],"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":[0.0007928894,0.0002733362,0.1312233,0.002914999,0.0002839335,0.00002505186,0.01683616,0.7775551,0.06599961,0.0003525974,0.0001569025,0.003586134],"study_design_scores_gemma":[0.0008679238,0.0004594388,0.1028914,0.001085402,0.0001241963,0.000002690135,0.03632839,0.7911901,0.06640162,0.00002814013,0.00009606551,0.000524604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933202,0.001184199,0.003134021,0.000002012359,0.0002051161,0.0005971234,0.000003382374,0.00003097069,0.001522994],"genre_scores_gemma":[0.9992566,0.00002900248,0.00006128761,1.005011e-7,0.00002253409,0.000005057708,0.00002741578,0.0000234534,0.0005745448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02833188,"threshold_uncertainty_score":0.7777466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08992380875614955,"score_gpt":0.325364464784081,"score_spread":0.2354406560279314,"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."}}