{"id":"W2022463653","doi":"10.1007/s00170-011-3407-2","title":"A proposed mathematical model for closed-loop network configuration based on product life cycle","year":2011,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Reverse logistics; Remanufacturing; Closed loop; Profit (economics); Product (mathematics); Supply chain; Product lifecycle; Supply chain network; Integer programming; Operations research; Engineering; Operations management; Computer science; Manufacturing engineering; New product development; Mathematical optimization; Business; Supply chain management; Economics; Marketing; Control engineering; Microeconomics; 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":[0.0007307666,0.0009995283,0.001178043,0.0008445201,0.0007132772,0.002452729,0.002944452,0.002297472,0.00734365],"category_scores_gemma":[0.001917791,0.0005844635,0.0009243636,0.001076047,0.0009615743,0.002695742,0.001120557,0.00123061,0.0009733091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756312,"about_ca_system_score_gemma":0.001434804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009858627,"about_ca_topic_score_gemma":0.005877323,"domain_scores_codex":[0.9993794,0.000138441,0.0000275065,0.0002250208,0.0001465501,0.00008305666],"domain_scores_gemma":[0.9994187,0.0002209339,0.00009211396,0.00003932153,0.000199092,0.00002980492],"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":[0.00002056015,0.00002006664,0.0002248465,0.00007316004,0.00002001924,0.0001230542,0.00004411078,0.9563115,0.0009787398,0.03425112,0.0006195299,0.007313225],"study_design_scores_gemma":[0.000004538992,0.000009714818,0.00005043917,0.000006038174,0.000007313923,0.0000210579,0.000006745539,0.9933243,0.0001186975,0.005993492,0.0004511341,0.000006478578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009595424,0.0003354443,0.9727575,0.0003184694,0.00009995305,0.00007339971,0.0002476083,0.000310845,0.01626136],"genre_scores_gemma":[0.902341,0.0008810579,0.07533242,0.0001796343,0.0001034016,0.0004385293,0.0004124134,0.0001176053,0.02019395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009858627,"threshold_uncertainty_score":0.02456695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905543144574057,"score_gpt":0.238721772113763,"score_spread":0.2196663406680224,"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."}}