{"id":"W4387702744","doi":"10.3390/su152014946","title":"Simulation-Based Study of the Resilience of Flexible Manufacturing Layouts Subject to Uncertain Demands of Product Variants","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bottleneck; Criticality; Context (archaeology); Pooling; Computer science; Failure mode, effects, and criticality analysis; Product (mathematics); Resource (disambiguation); Cellular manufacturing; Production (economics); Remanufacturing; Resilience (materials science); New product development; Industrial engineering; Reliability engineering; Manufacturing engineering; Engineering; Artificial intelligence; Mathematics; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004338251,0.0001152965,0.0002111154,0.0001287458,0.00005560298,0.000004456066,0.0002111373,0.00003341888,0.000006761707],"category_scores_gemma":[0.00176284,0.00009375931,0.00004255457,0.0005578314,0.00005265679,0.00005441058,0.00006792058,0.0000818632,4.087734e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001565704,"about_ca_system_score_gemma":0.00009437917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001586519,"about_ca_topic_score_gemma":0.00002919482,"domain_scores_codex":[0.9989187,0.00007004415,0.0003633477,0.0002141499,0.0002320318,0.0002017504],"domain_scores_gemma":[0.9985462,0.0004146701,0.00009106677,0.0006103868,0.0003053118,0.00003236522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004547122,0.00009305676,0.02002625,0.0004746528,0.00001271344,8.378638e-7,0.001247478,0.9772877,0.00007307563,0.0000484997,0.000004262561,0.0006860155],"study_design_scores_gemma":[0.0004873347,0.0002045321,0.5498146,0.00004074983,0.00003124476,6.04973e-8,0.002233705,0.3542732,0.09009124,0.002634787,0.00001192734,0.0001765873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429415,0.00000828064,0.05591022,0.00003142873,0.0001090646,0.0008235864,0.00001041864,0.0001123229,0.00005310579],"genre_scores_gemma":[0.9994105,3.886207e-7,0.0004493929,0.000002149937,0.00001103248,0.00002578369,0.000002888522,0.00001479886,0.00008312639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6230145,"threshold_uncertainty_score":0.3823394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574229101152949,"score_gpt":0.2850829801765289,"score_spread":0.2693406891649994,"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."}}