{"id":"W2012815519","doi":"10.1007/s00170-010-2614-6","title":"A computer simulation approach to evaluating bowl versus inverted bowl assembly line arrangement with variable operation times","year":2010,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Exponential function; Line (geometry); Exponential distribution; Variance (accounting); Distribution (mathematics); Basis (linear algebra); Normal distribution; Mathematics; Variable (mathematics); Statistics; Simulation; Algorithm; Engineering; Geometry; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003627033,0.0001792192,0.0002000894,0.0003839891,0.00007905715,0.00007463045,0.0005930726,0.0001071672,0.00001737022],"category_scores_gemma":[0.0001229309,0.0001340089,0.00003490151,0.0001632139,0.00003053639,0.0003336146,0.00009715877,0.0004941289,0.000007841929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613505,"about_ca_system_score_gemma":0.00004370111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003842932,"about_ca_topic_score_gemma":0.00001476816,"domain_scores_codex":[0.9987759,0.00001881452,0.0004126252,0.0001600052,0.0004423032,0.0001903502],"domain_scores_gemma":[0.9989875,0.0001247484,0.0002154415,0.0002320331,0.0003945744,0.00004573031],"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":[0.0002220925,0.00003503042,0.00001775668,0.000007098701,0.0001437481,0.000002723657,0.000099533,0.9384753,0.04602776,0.0004836158,0.0000692041,0.01441618],"study_design_scores_gemma":[0.001527842,0.0003020105,0.0001794572,0.00005471716,0.00003768222,0.0000552859,0.00006794483,0.8725184,0.1237565,0.0004659655,0.0008745358,0.0001597253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4875149,0.00001275454,0.5104363,0.0004718643,0.0009415722,0.0001805704,0.000001638391,0.0001418056,0.0002986303],"genre_scores_gemma":[0.7144154,0.00000663507,0.2851492,0.0000620554,0.0002990138,0.00001244447,0.00001027259,0.00002736479,0.00001765143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2269005,"threshold_uncertainty_score":0.5464724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267451332524066,"score_gpt":0.2695939348826207,"score_spread":0.2569194215573801,"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."}}