{"id":"W4380086371","doi":"10.1051/ro/2023083","title":"A robust optimization approach for the production-routing problem with lateral transshipment and outsourcing","year":2023,"lang":"en","type":"article","venue":"RAIRO. Operations research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Simulated annealing; Mathematical optimization; Transshipment (information security); Computer science; Outsourcing; Solver; Integer programming; Routing (electronic design automation); Production (economics); Vehicle routing problem; Linear programming; Operations research; Algorithm; Mathematics; Economics; Business; Microeconomics","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":[0.001741695,0.001594519,0.001390847,0.001043653,0.0005341053,0.001580114,0.001617701,0.001551331,0.004034514],"category_scores_gemma":[0.002448662,0.000829773,0.001874634,0.001134493,0.000750122,0.001237982,0.001418166,0.001640891,0.0004412988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583475,"about_ca_system_score_gemma":0.002289785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007545998,"about_ca_topic_score_gemma":0.005109689,"domain_scores_codex":[0.9991086,0.0003437461,0.00004123661,0.0002040793,0.0001969835,0.0001052995],"domain_scores_gemma":[0.999293,0.000390778,0.000126059,0.00004281941,0.00009755337,0.00004983147],"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":[0.00001273018,0.00001570688,0.00006677183,0.00004280254,0.00002008462,0.00003239495,0.00001249461,0.9870151,0.0004236423,0.006292502,0.0003144214,0.005751267],"study_design_scores_gemma":[0.000003838456,0.00001909874,0.00002722256,0.000004677466,0.000006819888,0.0000114067,0.000007224558,0.99685,0.0001486362,0.00248021,0.0004370894,0.000003778161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005170663,0.0002695729,0.9907467,0.0001797427,0.00003485411,0.00005807903,0.00006543178,0.0001155794,0.003359334],"genre_scores_gemma":[0.4723008,0.001011815,0.5177544,0.0001904834,0.0001447148,0.0005388329,0.0003308616,0.0002315204,0.007496516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007545998,"threshold_uncertainty_score":0.01500416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116608291483545,"score_gpt":0.3330699701885665,"score_spread":0.221409141040212,"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."}}