{"id":"W7083584754","doi":"10.1016/j.ifacol.2025.09.479","title":"Integrated production scheduling and vehicle routing problem with due dates, inventory holding and penalty costs","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Scheduling (production processes); Vehicle routing problem; Job shop scheduling; Customer satisfaction; Production (economics); Holding cost; Integrated production; Convergence (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":[0.001340981,0.001987876,0.002358011,0.001437714,0.000781861,0.002399063,0.001973481,0.002839014,0.003970191],"category_scores_gemma":[0.002193651,0.00111142,0.001573308,0.002175643,0.0007419951,0.001366152,0.001238926,0.001820396,0.0003598944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766452,"about_ca_system_score_gemma":0.003347702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200932,"about_ca_topic_score_gemma":0.007579769,"domain_scores_codex":[0.9987521,0.0003625721,0.00004810531,0.0002958462,0.0002500687,0.0002913632],"domain_scores_gemma":[0.998997,0.0005808109,0.0001507512,0.00004047225,0.0001346161,0.00009634784],"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":[0.00005118384,0.00004938077,0.0001958045,0.00005228004,0.00003045454,0.00008695255,0.00001514591,0.9903087,0.0004296073,0.002613892,0.000362675,0.005803884],"study_design_scores_gemma":[0.00002034351,0.00004719094,0.0001483623,0.000005624406,0.00001856621,0.00003250201,0.00001492991,0.9972067,0.0002180045,0.001868478,0.000413303,0.000005965878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08086705,0.000874606,0.9046715,0.0006394712,0.0002007536,0.00031219,0.0005766451,0.0003369749,0.01152075],"genre_scores_gemma":[0.7722644,0.0008702087,0.2115207,0.0001694503,0.0001455848,0.0006553606,0.0008013085,0.0001229078,0.01345003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01200932,"threshold_uncertainty_score":0.02387881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009800107478317105,"score_gpt":0.2413122718961633,"score_spread":0.2315121644178462,"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."}}