{"id":"W2102040161","doi":"10.1109/cdc.1993.325809","title":"Optimal production and maintenance planning for flexible manufacturing systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Production planning; Production (economics); Computer science; Manufacturing 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":[0.001053902,0.0007530981,0.0009385005,0.0007753319,0.0005834025,0.001005649,0.0008883152,0.001020005,0.00292203],"category_scores_gemma":[0.003035769,0.0007107604,0.0006374127,0.0007942542,0.001316686,0.001361049,0.0008253704,0.0008604045,0.0002361756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950649,"about_ca_system_score_gemma":0.001679364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011224,"about_ca_topic_score_gemma":0.00605712,"domain_scores_codex":[0.9993852,0.0001831587,0.0000242533,0.0001435734,0.0001358093,0.0001278391],"domain_scores_gemma":[0.9989852,0.0007120803,0.0001449412,0.00003810759,0.00007008309,0.00004956411],"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":[0.00002435503,0.00001346718,0.0001361386,0.00003031443,0.000010226,0.0000375632,0.00002362498,0.9781961,0.0002759279,0.01562076,0.0003159155,0.005315525],"study_design_scores_gemma":[0.0000111518,0.00001160066,0.00006489957,0.000004295173,0.00000325716,0.000005627449,0.000008901019,0.9837177,0.000152728,0.01575481,0.0002614128,0.000003708883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06636681,0.0008163897,0.9260209,0.0006220846,0.00003702622,0.00006790981,0.0001999852,0.0002255467,0.00564333],"genre_scores_gemma":[0.8981581,0.000612676,0.09667188,0.00007057687,0.0000384187,0.0001621144,0.0002933549,0.00006544597,0.003927356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01011224,"threshold_uncertainty_score":0.02010673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327846920666837,"score_gpt":0.2224914018873667,"score_spread":0.1992129326806984,"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."}}