{"id":"W2109119864","doi":"10.24908/pceea.v0i0.3678","title":"CONCURRENT MANUFACTURING SYSTEM OPTIMIZATION FOR TWO-PRODUCT OPERATION","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Quality function deployment; Product (mathematics); Production (economics); Customer satisfaction; Process (computing); Computer science; Quality (philosophy); New product development; Manufacturing engineering; Set (abstract data type); Concurrent engineering; Customer needs; Core (optical fiber); Reliability engineering; Process management; Business; Process engineering; Engineering; Marketing; Process integration; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000915268,0.0001728439,0.000166583,0.0003909478,0.0002911551,0.0002470081,0.0002900248,0.00007783072,0.00007549251],"category_scores_gemma":[0.0007759556,0.0001728562,0.00008918633,0.000336967,0.00001223467,0.001005146,0.00002915671,0.0001211076,0.00002458438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148987,"about_ca_system_score_gemma":0.0002095482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006542422,"about_ca_topic_score_gemma":0.0009249898,"domain_scores_codex":[0.9987364,0.000004221611,0.0003950868,0.0002822934,0.0002994264,0.0002826026],"domain_scores_gemma":[0.9983057,0.00002247294,0.0005939808,0.0001298423,0.0009083218,0.00003969031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003888968,0.0004286475,0.07257737,0.006441877,0.0005286128,1.65995e-7,0.00210883,0.07860071,0.003973492,0.6693491,0.1572352,0.00871715],"study_design_scores_gemma":[0.004440274,0.00009261665,0.123372,0.001841731,0.001638395,0.00001743413,0.004749313,0.4409692,0.1363084,0.002520586,0.2801981,0.003851937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7744387,0.0005255955,0.02406007,0.02564373,0.07411698,0.01518185,0.0001249736,0.002911466,0.08299667],"genre_scores_gemma":[0.9952593,0.000001306402,0.001943473,0.0004039448,0.001272528,0.0001962377,0.00003329376,0.00004818964,0.0008416618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6668285,"threshold_uncertainty_score":0.9890228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105530502544765,"score_gpt":0.2028573053890476,"score_spread":0.1818020003635999,"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."}}