{"id":"W2086941066","doi":"10.1080/0740817x.2012.654845","title":"Manufacturing system design by considering multiple machine replacements under discounted costs","year":2012,"lang":"en","type":"article","venue":"IIE Transactions","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematical optimization; Time horizon; Bounding overwatch; Branch and bound; Integer programming; Activity-based costing; Heuristic; Process (computing); Computer science; Routing (electronic design automation); Holding cost; Operations research; Heuristics; Reliability engineering; 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":[0.002359038,0.001685992,0.001999791,0.001006732,0.000810148,0.001978194,0.001167611,0.001603511,0.003170201],"category_scores_gemma":[0.005467021,0.00142152,0.001471572,0.0008618626,0.001063231,0.001683916,0.001019274,0.001243886,0.000217809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631599,"about_ca_system_score_gemma":0.002301094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004801905,"about_ca_topic_score_gemma":0.00331065,"domain_scores_codex":[0.9983511,0.0007895523,0.00004827719,0.0001814478,0.0004010903,0.0002285298],"domain_scores_gemma":[0.9979368,0.001503232,0.000233014,0.00006667996,0.0001670162,0.0000932195],"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":[0.00001786709,0.000005911161,0.0000927935,0.00002902633,0.00001239804,0.00003503481,0.00001186087,0.994344,0.0002856936,0.003177678,0.00004512051,0.00194263],"study_design_scores_gemma":[0.00001185812,0.00005693268,0.0001068813,0.000009835523,0.00002504282,0.00002588016,0.000009463259,0.9947863,0.0003625696,0.004228401,0.0003703322,0.000006430688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07292707,0.001400861,0.9176003,0.0003051322,0.00008268602,0.0001228421,0.00008869747,0.0001244061,0.007348026],"genre_scores_gemma":[0.9132092,0.0007447096,0.08078383,0.00005219769,0.00004895427,0.000202187,0.00006483315,0.00006639367,0.004827734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004801905,"threshold_uncertainty_score":0.01909369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720098687333212,"score_gpt":0.221898423754041,"score_spread":0.2046974368807089,"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."}}