{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001479243,0.001046068,0.001801582,0.0007276599,0.0004053519,0.001200805,0.001043336,0.001407805,0.001161269],"category_scores_gemma":[0.002951468,0.0007278614,0.0009775562,0.0007314479,0.0007986732,0.0008158413,0.0007019957,0.0008586216,0.0001301735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499455,"about_ca_system_score_gemma":0.00136848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009674464,"about_ca_topic_score_gemma":0.005669846,"domain_scores_codex":[0.9992216,0.0002064165,0.00002970994,0.0001809746,0.0002012226,0.0001602317],"domain_scores_gemma":[0.9986671,0.0007880906,0.0003014336,0.00004606733,0.000139876,0.00005740322],"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":[0.00002244609,0.0000132586,0.0001660584,0.00001541775,0.000009537305,0.00001797632,0.000009374806,0.9971216,0.0005595988,0.0003981398,0.00002779473,0.001638735],"study_design_scores_gemma":[0.000007977756,0.00004159867,0.0002364032,0.00000178136,0.000008980562,0.000008250613,0.000003601261,0.999084,0.0001924327,0.0003675441,0.00004441033,0.000003033405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2005066,0.0006467106,0.7951959,0.0002215324,0.00002754987,0.00009155536,0.0001527145,0.0002647083,0.002892772],"genre_scores_gemma":[0.9777193,0.0001652117,0.02052938,0.00002098952,0.00001127047,0.00005961978,0.00007483261,0.00002362446,0.001395723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009674464,"threshold_uncertainty_score":0.01923627,"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."}}