{"id":"W1971414088","doi":"10.1108/17410381011077964","title":"A computer simulation approach to evaluating assembly line balancing with variable operation times","year":2010,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Maximization; Minification; Line (geometry); Assembly line; Computer science; Variable (mathematics); Simulation; Mathematical optimization; Engineering; Mathematics; Mechanical engineering","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":[0.0006829863,0.0006908597,0.0006253205,0.0006159883,0.0004658705,0.000849246,0.0008340517,0.0008927253,0.003153609],"category_scores_gemma":[0.002795259,0.0004201396,0.0006130479,0.0006829186,0.000508707,0.0005715417,0.0003887896,0.0007415875,0.0002400059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625329,"about_ca_system_score_gemma":0.00177504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246406,"about_ca_topic_score_gemma":0.01133101,"domain_scores_codex":[0.9995039,0.0002745736,0.00001644909,0.00004094537,0.000110397,0.00005369207],"domain_scores_gemma":[0.9982448,0.001293702,0.0001208593,0.00007786951,0.0002239366,0.00003878057],"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":[0.00001781658,0.00001165188,0.0001363519,0.000008223952,0.000004517335,0.000007784105,0.000007779111,0.9977311,0.0002966844,0.0009301055,0.00003724993,0.0008107477],"study_design_scores_gemma":[0.00000713121,0.00002408009,0.00006273254,0.000002148142,0.000003172569,0.000002370038,0.00000523148,0.9992735,0.000197093,0.0002314156,0.0001888603,0.000002309579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3149904,0.0002931294,0.6497511,0.000373591,0.00006959531,0.0003549217,0.0003942772,0.0006899773,0.03308299],"genre_scores_gemma":[0.9240519,0.0002267115,0.07179111,0.00004672009,0.00001176649,0.0004895849,0.0002185107,0.0000480493,0.003115629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02246406,"threshold_uncertainty_score":0.04466665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00802099015545313,"score_gpt":0.2384375148387684,"score_spread":0.2304165246833153,"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."}}