{"id":"W2037291198","doi":"10.1016/j.ijpe.2010.08.014","title":"A production/remanufacture model with returns’ subassemblies managed differently","year":2010,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Production (economics); Product (mathematics); Process (computing); Computer science; Component (thermodynamics); Constant (computer programming); Holding cost; Unit (ring theory); Operations management; Business; Operations research; Manufacturing engineering; Economics; Microeconomics; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001303961,0.001121661,0.00126118,0.0008453594,0.001003401,0.00293492,0.002849716,0.003653745,0.01245232],"category_scores_gemma":[0.002435318,0.0007671433,0.001448137,0.0009891405,0.001744746,0.003243871,0.001188325,0.001845026,0.001318521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191347,"about_ca_system_score_gemma":0.001400579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281328,"about_ca_topic_score_gemma":0.006373673,"domain_scores_codex":[0.9995164,0.0001462385,0.00001909244,0.000102759,0.0000920621,0.0001234406],"domain_scores_gemma":[0.9989704,0.000453385,0.0001396289,0.0001435787,0.0001467765,0.0001462919],"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":[0.0001771402,0.0001291371,0.0003984593,0.00004867212,0.00002496408,0.0003611526,0.00007341342,0.8913184,0.002022586,0.09521168,0.001245362,0.00898908],"study_design_scores_gemma":[0.00003278988,0.00004584918,0.0001557824,0.000006899091,0.00002032394,0.00003465568,0.0000244918,0.9841549,0.000328708,0.01438444,0.0007976301,0.00001347953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4180967,0.001178014,0.4593106,0.004735053,0.0002674541,0.0002124971,0.001006795,0.0009838551,0.1142091],"genre_scores_gemma":[0.9139075,0.0004608729,0.02333968,0.0001715293,0.00006007055,0.000117505,0.0002100964,0.0001215001,0.06161116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01281328,"threshold_uncertainty_score":0.04165721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019952762892552,"score_gpt":0.2082964783785297,"score_spread":0.1980969507496042,"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."}}