{"id":"W3137414219","doi":"10.18280/jesa.540107","title":"Analysis of Aluminium Alloy Wheels Product Quality Improvement Through DMAIC Method in Casting Process: A Case Study of the Wheel Manufacturing Industry in Indonesia","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DMAIC; Ishikawa diagram; Pareto chart; Automotive industry; Six Sigma; Casting; Quality management; Quality (philosophy); Sand casting; Manufacturing engineering; Statistical process control; Process (computing); Computer science; Reliability engineering; Engineering; Materials science; Lean manufacturing; Metallurgy; Operations management; Mold","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002747391,0.0002769598,0.0007900717,0.0009450834,0.0001871836,0.000263237,0.0004348221,0.0001261916,0.00009674798],"category_scores_gemma":[0.0004073182,0.0002181715,0.0001858681,0.00332419,0.00005294504,0.001182418,0.0004312666,0.0007161613,6.449872e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121873,"about_ca_system_score_gemma":0.00008292656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003244876,"about_ca_topic_score_gemma":0.00425915,"domain_scores_codex":[0.9964353,0.0004063045,0.001748466,0.0004114488,0.000665954,0.0003324805],"domain_scores_gemma":[0.9971015,0.0001080083,0.001882353,0.000474506,0.0004165768,0.00001706856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004563897,0.00163726,0.8591412,0.002388926,0.001023309,0.001436979,0.006756461,0.06153855,0.0009893806,0.0002285276,0.00006957272,0.06474423],"study_design_scores_gemma":[0.001458723,0.00005090054,0.9309397,0.0006152921,0.000919337,0.0001510633,0.02497384,0.03611486,0.003819124,0.0005607461,0.00003184722,0.0003645587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964136,0.00009230474,0.00166441,0.0001342021,0.000120773,0.0007263955,0.000002366755,0.0000575966,0.0007883655],"genre_scores_gemma":[0.9967854,0.00001417628,0.00280515,0.0001380031,0.0001006233,0.00003514873,0.000003240527,0.0000311966,0.00008703595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07179855,"threshold_uncertainty_score":0.8896775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771809415546053,"score_gpt":0.3182239609711606,"score_spread":0.2805058668157001,"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."}}