{"id":"W3119253730","doi":"10.1007/s12351-020-00617-y","title":"Transfer lines with multi-machine stages and non-deterministic processing time: transient performance analysis and control","year":2021,"lang":"en","type":"article","venue":"Operational Research","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transient (computer programming); Production line; Production control; Transfer function; Computational intelligence; Transfer line; Finite-state machine; Transient state; Production (economics); State (computer science); Control engineering; Control theory (sociology); Artificial intelligence; Control (management); Industrial engineering; Algorithm; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009919155,0.0007430284,0.0007295724,0.0003618856,0.0004402271,0.001145653,0.0008658172,0.001070178,0.001823502],"category_scores_gemma":[0.005348423,0.0004933851,0.0004235303,0.00087182,0.001034848,0.001515737,0.0005261309,0.0008379638,0.0002316133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264029,"about_ca_system_score_gemma":0.0007198753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005750437,"about_ca_topic_score_gemma":0.003812307,"domain_scores_codex":[0.9994088,0.000233534,0.00002023712,0.0001213888,0.0001294876,0.00008642943],"domain_scores_gemma":[0.9970329,0.001975749,0.0005124926,0.0001643102,0.0002627187,0.0000518948],"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":[0.0001154602,0.00002796418,0.0002575698,0.00003196182,0.00001496378,0.0000494163,0.00002366825,0.9876568,0.001779797,0.005839761,0.0002244429,0.003978171],"study_design_scores_gemma":[0.000004882415,0.00001957467,0.0001198866,0.000001466579,0.000004598087,0.00000574011,0.000003362282,0.9981604,0.0004120605,0.001196763,0.00006867704,0.000002637263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1456487,0.000364974,0.8482993,0.0003545747,0.00005629354,0.00005243342,0.00008288759,0.0002903189,0.004850444],"genre_scores_gemma":[0.9843959,0.0001330765,0.01231386,0.00001789454,0.00002653491,0.00004493133,0.00003539329,0.00003190791,0.003000665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005750437,"threshold_uncertainty_score":0.01143396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960247739036108,"score_gpt":0.2960061938992594,"score_spread":0.2764037165088983,"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."}}