{"id":"W2889906917","doi":"10.1080/00207543.2018.1521021","title":"Integrated production quality and condition-based maintenance optimisation for a stochastically deteriorating manufacturing system","year":2018,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Preventive maintenance; Reliability engineering; Production (economics); Condition-based maintenance; Quality (philosophy); Time horizon; Degradation (telecommunications); Planned maintenance; Interval (graph theory); Product (mathematics); Computer science; Engineering; Operations research; Mathematical optimization; Mathematics; Economics","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":[0.003079094,0.0001146606,0.0001698223,0.0004039971,0.0001703102,0.0001403843,0.0001831494,0.00007446506,0.00001655555],"category_scores_gemma":[0.002515925,0.0001021433,0.00005503555,0.0001677277,0.0002376452,0.0004830334,0.00002081396,0.000295474,0.000004198615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005343473,"about_ca_system_score_gemma":0.0001116268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001299782,"about_ca_topic_score_gemma":0.00001292088,"domain_scores_codex":[0.9981806,0.0001399677,0.0006151236,0.0002342773,0.0006110891,0.0002189626],"domain_scores_gemma":[0.9949973,0.0001584944,0.000193932,0.0001383346,0.004438348,0.0000735592],"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":[0.002792511,0.0002427579,0.000506506,0.001158885,0.0004120505,0.00001341186,0.001519574,0.6253081,0.2632402,0.004874243,0.006517354,0.09341439],"study_design_scores_gemma":[0.00229521,0.001035421,0.004526623,0.001995541,0.00004857473,0.0003926373,0.003500858,0.5272107,0.4493225,0.003576786,0.005570875,0.0005243169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5011981,0.00003525261,0.4921571,0.00268466,0.003159996,0.0005215454,0.00001383823,0.00008143528,0.0001480876],"genre_scores_gemma":[0.9716034,0.00002719416,0.02681985,0.00001709504,0.00137279,0.00004428792,0.00001717217,0.00002111947,0.00007707474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4704054,"threshold_uncertainty_score":0.4165283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06958917730880548,"score_gpt":0.3773577705898289,"score_spread":0.3077685932810234,"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."}}