{"id":"W3121559560","doi":"","title":"The Integrated Production and Transportation Scheduling Problem for a Product with a Short Lifespan","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Mathematical optimization; Job shop scheduling; Production schedule; Scheduling (production processes); Computer science; Heuristic; Operations research; Schedule; Production (economics); Memetic algorithm; Genetic algorithm; Engineering; Mathematics; Economics","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":[0.001145553,0.001515461,0.001621256,0.0009445452,0.0009777271,0.001450967,0.001514383,0.001885474,0.008284139],"category_scores_gemma":[0.002320416,0.0006826226,0.001266856,0.001846113,0.0008330711,0.002063518,0.0009235364,0.001030276,0.0007645688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413419,"about_ca_system_score_gemma":0.002336399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003578221,"about_ca_topic_score_gemma":0.003000581,"domain_scores_codex":[0.9993641,0.0001547314,0.00003724576,0.0002172937,0.0001154129,0.0001111951],"domain_scores_gemma":[0.9991246,0.000479539,0.0001649202,0.00005968696,0.00006804962,0.0001032216],"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":[0.0004960807,0.0003675014,0.001682536,0.0007125974,0.0001743845,0.0007385078,0.0002360919,0.8698842,0.01060483,0.02882709,0.004028101,0.08224814],"study_design_scores_gemma":[0.0001778552,0.00083024,0.001620531,0.0000501214,0.0001148641,0.0005881909,0.0002527357,0.9490162,0.004101712,0.03401804,0.009183831,0.00004567794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1883648,0.0009766784,0.7963566,0.001060783,0.0001411001,0.0006884806,0.001347897,0.0004191546,0.01064453],"genre_scores_gemma":[0.5604016,0.001163616,0.4224777,0.0001603866,0.0001658675,0.001026832,0.001956854,0.0002115996,0.01243547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008284139,"threshold_uncertainty_score":0.02771324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008334488040680722,"score_gpt":0.2456455639661238,"score_spread":0.2373110759254431,"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."}}