{"id":"W4402036307","doi":"10.1016/j.omega.2024.103183","title":"An integrated approach for lot-sizing and storage assignment","year":2024,"lang":"en","type":"article","venue":"Omega","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"HEC Montréal","keywords":"Heuristics; Sizing; Mathematical optimization; Computer science; Benchmark (surveying); Relocation; Holding cost; Heuristic; Operations research; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001243147,0.001389393,0.001210329,0.000913784,0.0004731371,0.001714483,0.002296017,0.001199467,0.007439093],"category_scores_gemma":[0.001694939,0.0009822844,0.001537015,0.001909437,0.0005804603,0.001862322,0.001463984,0.001609021,0.0009423286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374414,"about_ca_system_score_gemma":0.003219611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004100815,"about_ca_topic_score_gemma":0.007493493,"domain_scores_codex":[0.9990422,0.0002512509,0.0000375311,0.0001770464,0.0003712518,0.0001207219],"domain_scores_gemma":[0.9994456,0.0002835887,0.00006185914,0.00009908045,0.0000758045,0.00003412039],"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":[0.00008557429,0.0001866195,0.0003915697,0.0002627201,0.0001335141,0.00007875238,0.00007726085,0.8764076,0.004019023,0.02522231,0.001574086,0.091561],"study_design_scores_gemma":[0.00002509918,0.00007810466,0.000142346,0.00001636222,0.0000448965,0.00003721578,0.00001892346,0.9878076,0.0009183484,0.007178551,0.003724039,0.000008484851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007069241,0.0003489746,0.9864408,0.0001071624,0.00005301455,0.0001761187,0.00006540239,0.0003681396,0.005371134],"genre_scores_gemma":[0.1634296,0.0005370973,0.831184,0.000164713,0.00006518588,0.000393329,0.0002255267,0.0001288252,0.003871782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007439093,"threshold_uncertainty_score":0.02488631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383833603368659,"score_gpt":0.2366814575666534,"score_spread":0.2228431215329668,"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."}}