{"id":"W2987548641","doi":"10.1051/ro/2019061","title":"A new model for logistics and transportation of fashion goods in the presence of stochastic market demands considering restricted retailers capacity","year":2019,"lang":"en","type":"article","venue":"RAIRO - Operations Research","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Simulated annealing; Computer science; Taguchi methods; Profit (economics); Sorting; Mathematical optimization; Metaheuristic; Genetic algorithm; Operations research; Scheduling (production processes); Supply chain; Economics; Business; Algorithm; Microeconomics; Machine learning; Marketing; Mathematics","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":[0.001445434,0.0000917245,0.0001629954,0.0004614924,0.0001291862,0.0001092533,0.0002291208,0.00005410966,0.00004230937],"category_scores_gemma":[0.001031118,0.00007708344,0.00003017687,0.0007869132,0.0001104808,0.00044921,0.0000505125,0.0001626464,0.000001232375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003989523,"about_ca_system_score_gemma":0.0001176283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223822,"about_ca_topic_score_gemma":0.002210729,"domain_scores_codex":[0.9987128,0.00005731871,0.0003262947,0.0002190855,0.0004333562,0.0002511359],"domain_scores_gemma":[0.9988136,0.0004702164,0.00005567028,0.0002678669,0.0003810283,0.0000115663],"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":[0.0001772717,0.000096056,0.007568082,0.001209349,0.00002819111,0.000001998101,0.002173364,0.8749288,0.001178788,0.1092346,0.002611928,0.0007915646],"study_design_scores_gemma":[0.000754261,0.0000329016,0.01157282,0.00006209924,0.00002045551,1.678099e-7,0.005416576,0.9795098,0.00002166834,0.002440464,0.00008761197,0.00008114826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7059343,0.00002457796,0.289952,0.001043782,0.00003092176,0.002119217,0.00001375291,0.00001256593,0.0008688779],"genre_scores_gemma":[0.9965886,0.000006725412,0.002525081,0.00003649316,0.00003812609,0.0001049295,0.00003369024,0.0000119892,0.0006543832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2906542,"threshold_uncertainty_score":0.3143372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07942860718814532,"score_gpt":0.3119648954049459,"score_spread":0.2325362882168006,"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."}}