{"id":"W3046992156","doi":"10.1080/15623599.2020.1793075","title":"Integrated lean concepts and continuous/discrete-event simulation to examine productivity improvement in door assembly-line for residential buildings","year":2020,"lang":"en","type":"article","venue":"International Journal of Construction Management","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Discrete event simulation; Productivity; Modular design; Lean manufacturing; Reliability (semiconductor); Line (geometry); Investment (military); Computer science; Event (particle physics); Industrial engineering; Reliability engineering; Engineering; Manufacturing engineering; Simulation","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":[0.0008641346,0.0005812509,0.0003949009,0.0005167383,0.0002324815,0.0006349728,0.0004982183,0.0006318375,0.001183329],"category_scores_gemma":[0.001642866,0.000230627,0.0005212819,0.0004815388,0.0003480248,0.0003923766,0.00049474,0.0006378395,0.00008196113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007070478,"about_ca_system_score_gemma":0.0007190541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0067354,"about_ca_topic_score_gemma":0.005081857,"domain_scores_codex":[0.9996568,0.0001897398,0.0000131009,0.00002748466,0.00006595088,0.00004700521],"domain_scores_gemma":[0.9982697,0.001343959,0.0001354895,0.00006505509,0.0001265904,0.00005917027],"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":[0.0000874083,0.0001011099,0.001208109,0.00002444697,0.00001109117,0.00003493078,0.00002806028,0.9939435,0.0009766211,0.001052546,0.00002517054,0.002507046],"study_design_scores_gemma":[0.000007060083,0.00005941126,0.0002366799,0.000002044126,0.00000351166,0.000002471817,0.00001971375,0.9986999,0.0007097284,0.0001876575,0.00006929213,0.000002457744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.810335,0.0001696295,0.1822542,0.0001310463,0.00004245161,0.0001558746,0.0001459422,0.0002141061,0.006551693],"genre_scores_gemma":[0.9823467,0.00005973714,0.01697659,0.000009113617,0.000003232255,0.00006270957,0.00004355769,0.00000713208,0.0004913079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0067354,"threshold_uncertainty_score":0.01339245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009836404467518203,"score_gpt":0.2791270726432487,"score_spread":0.2692906681757305,"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."}}