{"id":"W1987898607","doi":"10.1016/s0925-5273(99)00024-9","title":"Evaluating shop floor input control using rapid modeling","year":2000,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bottleneck; Computer science; Profitability index; Queueing theory; Inventory control; Throughput; Decomposition; Control (management); Interval (graph theory); Operations research; Mathematical optimization; Industrial engineering; Engineering","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":[0.00285321,0.001393944,0.001456885,0.0006711291,0.0004808919,0.001188937,0.0008669057,0.00114933,0.001997419],"category_scores_gemma":[0.007072172,0.0008938705,0.0006362964,0.000405618,0.0005478948,0.001008755,0.000702248,0.0007207859,0.0001849067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590996,"about_ca_system_score_gemma":0.001807168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01192128,"about_ca_topic_score_gemma":0.007751296,"domain_scores_codex":[0.9987287,0.0006858484,0.00003637884,0.000111033,0.0003054611,0.0001324243],"domain_scores_gemma":[0.9926181,0.006090505,0.0003161882,0.0002728087,0.0005584291,0.0001439739],"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":[0.0000794194,0.00002782369,0.000150694,0.00001646187,0.000007388367,0.000007361746,0.000003432838,0.9959907,0.0004718226,0.0003127751,0.00003153896,0.002900501],"study_design_scores_gemma":[0.000005083582,0.00003474737,0.00003339487,6.03321e-7,0.000002764747,8.507964e-7,0.00000120337,0.9995536,0.0002578618,0.00009694917,0.00001159583,0.000001303893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5434299,0.0003889776,0.4477797,0.000182271,0.0000889353,0.0002219852,0.0001491198,0.001420038,0.006339018],"genre_scores_gemma":[0.9740855,0.00004874429,0.02519174,0.0000122226,0.000006553893,0.00005958099,0.00004787389,0.00005030796,0.0004975656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01192128,"threshold_uncertainty_score":0.02370381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04147492571356109,"score_gpt":0.2909242925847184,"score_spread":0.2494493668711573,"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."}}