{"id":"W2091390249","doi":"10.1080/00207540410001720403","title":"Concurrent optimization of the design and manufacturing stages of product development","year":2004,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Concurrent engineering; Mathematical optimization; New product development; Computer science; Process (computing); Product (mathematics); Function (biology); Representation (politics); Quality (philosophy); Product design; Geometric programming; Goal programming; Engineering design process; Parametric statistics; Industrial engineering; Engineering; Mathematics","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":[0.002241701,0.001127751,0.0007514625,0.000581182,0.0005594467,0.001672009,0.001089539,0.0007065362,0.002603723],"category_scores_gemma":[0.004734066,0.0008818851,0.0009284123,0.000865437,0.0009970621,0.001432398,0.001837936,0.001013139,0.000315664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203128,"about_ca_system_score_gemma":0.0029169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896819,"about_ca_topic_score_gemma":0.003418897,"domain_scores_codex":[0.9978881,0.0006504382,0.00006769907,0.000311924,0.0008291007,0.0002526813],"domain_scores_gemma":[0.9982711,0.00103088,0.0002286002,0.0001500556,0.0002401069,0.00007923421],"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":[0.0002376245,0.0001311718,0.001345733,0.0002222559,0.00006587509,0.0001447148,0.0001317504,0.88031,0.01065485,0.03623412,0.0003056873,0.07021619],"study_design_scores_gemma":[0.0000606408,0.0003396156,0.0007325316,0.00002086843,0.00005749503,0.00007668458,0.00004504134,0.9582942,0.008525498,0.02836632,0.00345916,0.00002191816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04451168,0.0003662499,0.9466282,0.0001235475,0.00002785001,0.0001385472,0.00002817141,0.0001121798,0.008063587],"genre_scores_gemma":[0.7096832,0.0005526171,0.2825222,0.00004780594,0.00002141106,0.0005005817,0.00008639359,0.00006364374,0.006522133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002896819,"threshold_uncertainty_score":0.01185536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05551849741541187,"score_gpt":0.3219113891090961,"score_spread":0.2663928916936842,"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."}}