{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002570977,0.0001310394,0.000123282,0.0002406655,0.001111265,0.0003309631,0.0001464057,0.00006387427,0.00001424964],"category_scores_gemma":[0.0002494541,0.00009549881,0.00002445058,0.001177589,0.00009173954,0.0002337369,0.00003792619,0.0002996876,0.000002808998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008374918,"about_ca_system_score_gemma":0.0000557524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000243172,"about_ca_topic_score_gemma":0.00002794004,"domain_scores_codex":[0.9985168,0.0001763651,0.0002327647,0.0003099936,0.0003442474,0.0004198067],"domain_scores_gemma":[0.9991091,0.0002858069,0.00001025774,0.000246549,0.0002844151,0.00006390904],"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":[0.0000107844,0.00001388474,0.0001887613,0.00008913768,0.00003658095,3.347926e-7,0.002753448,0.9942828,0.0004943773,0.0002794637,0.0002105562,0.001639817],"study_design_scores_gemma":[0.0002776806,0.00003831755,0.0002502913,0.00003858908,0.00001304602,0.000008541432,0.001062375,0.9976444,0.0004589376,0.000003900035,0.00007973517,0.0001241641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01025007,0.00006142668,0.9853122,0.001666976,0.00005605157,0.001771694,0.000007765448,0.0004028411,0.0004709345],"genre_scores_gemma":[0.389899,0.0000821085,0.607115,0.00001007055,0.0001613077,0.001050065,0.00007097395,0.00007044138,0.001541071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3796489,"threshold_uncertainty_score":0.8547063,"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."}}