{"id":"W3090345509","doi":"10.1287/ijoo.2019.0039","title":"Data-Driven Modeling and Optimization of the Order Consolidation Problem in E-Warehousing","year":2020,"lang":"en","type":"article","venue":"INFORMS Journal on Optimization","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scheduling (production processes); Computer science; Consolidation (business); Tardiness; Simulated annealing; Heuristics; Material handling; Metaheuristic; Due date; Job shop scheduling; Operations research; Mathematical optimization; Algorithm; Industrial engineering; Engineering; Routing (electronic design automation); Mathematics; Queue","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":[0.0001308097,0.0001219827,0.0001422733,0.0001053147,0.00009123833,0.00007285915,0.0001759926,0.00007298922,0.0000129938],"category_scores_gemma":[0.0001847114,0.00009424778,0.0000160262,0.0003027404,0.00002562914,0.0007681593,0.00005888057,0.0002463874,5.445592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005429775,"about_ca_system_score_gemma":0.00003529272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001994769,"about_ca_topic_score_gemma":0.000001694056,"domain_scores_codex":[0.9991176,0.00001859681,0.0004441986,0.0001140798,0.000177198,0.0001282855],"domain_scores_gemma":[0.999482,0.00002715577,0.0001586269,0.0001541728,0.0001234438,0.00005458969],"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":[0.00001926164,0.000007067302,0.00005457369,0.00003667864,0.000009078587,5.480682e-7,0.0003125563,0.9983971,0.000008625145,0.00009164392,0.00001854411,0.001044335],"study_design_scores_gemma":[0.000446069,0.00003035683,0.000009920317,0.00008659716,0.00001207783,0.000008346802,0.0000765315,0.9990061,0.00009368551,0.00007811507,0.00004503355,0.0001071862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002377608,0.00003754185,0.9965531,0.0002203895,0.0001063422,0.0001845788,0.00001321861,0.00005840641,0.0004487853],"genre_scores_gemma":[0.6317391,0.000587507,0.3673697,0.0001344601,0.00005577732,0.000002443085,0.00008047243,0.0000275668,0.000002947484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6293615,"threshold_uncertainty_score":0.3843313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240339166196765,"score_gpt":0.2432846048252104,"score_spread":0.2108812131632427,"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."}}