{"id":"W2614002522","doi":"","title":"Benders Decomposition for Production Routing under Demand Uncertainty","year":2012,"lang":"fr","type":"article","venue":"Les Cahiers du GERAD","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Mathematical optimization; Production (economics); Generalization; Routing (electronic design automation); Pareto principle; Upper and lower bounds; Product (mathematics); Time horizon; Branch and bound; Decomposition; Branch and cut; Computer science; Mathematics; Operations research; Linear programming; Economics","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":[0.002137014,0.001951971,0.001244414,0.001176303,0.0005640249,0.001458558,0.0008508498,0.001423254,0.008068828],"category_scores_gemma":[0.002625377,0.00115504,0.001645708,0.001348933,0.0007855956,0.001632032,0.001018782,0.002469988,0.001137046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996391,"about_ca_system_score_gemma":0.001765107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004747116,"about_ca_topic_score_gemma":0.004068462,"domain_scores_codex":[0.999067,0.0004062631,0.00004128625,0.0001280118,0.0002354874,0.0001219999],"domain_scores_gemma":[0.9992386,0.0004521824,0.000104966,0.00005197812,0.0001047738,0.0000474867],"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":[0.00003236571,0.00002613238,0.000135063,0.00006074505,0.00002665201,0.00004545926,0.00003792935,0.9069003,0.0008267257,0.07756744,0.001322625,0.0130185],"study_design_scores_gemma":[0.00001121148,0.00001463238,0.00006323472,0.00001303539,0.000007815132,0.00001023511,0.00001094817,0.9251826,0.0002051413,0.0728291,0.001645423,0.000006672904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005237754,0.0003264211,0.9875088,0.0002568545,0.00003784773,0.00006445998,0.0002273076,0.000118947,0.006221547],"genre_scores_gemma":[0.2633058,0.002162861,0.7082476,0.0003029374,0.0002237573,0.0007974156,0.001426398,0.0003223997,0.02321071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008068828,"threshold_uncertainty_score":0.02699292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087848835570577,"score_gpt":0.2320001241922547,"score_spread":0.2211216358365489,"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."}}