{"id":"W4404278292","doi":"10.1016/j.eswa.2024.125728","title":"A novel data-driven rolling horizon production planning approach for the plastic industry under the uncertainty of demand and recycling rate","year":2024,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Computer science; Horizon; Production planning; Industrial engineering; Manufacturing engineering; Economics; Microeconomics; Mathematics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002317117,0.0001086421,0.0001087869,0.00003789691,0.0002221179,0.00007353372,0.0001489331,0.00007208326,2.024049e-7],"category_scores_gemma":[0.00002895394,0.00006210035,0.00001107232,0.0001476784,0.00005694288,0.0000967239,0.00002458603,0.0001907497,2.274603e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002759922,"about_ca_system_score_gemma":0.00001832741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002458327,"about_ca_topic_score_gemma":0.0000024734,"domain_scores_codex":[0.9993784,0.00001239472,0.0001817971,0.0002375931,0.00007542717,0.0001143621],"domain_scores_gemma":[0.9990678,0.0004653879,0.0000485967,0.0003592311,0.00003622214,0.0000228079],"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":[0.00000788208,0.000006496546,0.000004432826,0.0001645761,0.00006514799,3.673667e-8,0.0002734039,0.9966913,0.0006364732,0.001613093,0.0001594805,0.0003777122],"study_design_scores_gemma":[0.000095934,0.0000132389,0.00002600283,0.0001175676,0.00004584699,0.00001195467,0.001491026,0.9954153,0.0002122334,0.0000404679,0.002443642,0.00008676782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001039601,0.003654133,0.993871,0.00007935245,0.0001875379,0.000932993,0.00003725531,0.0001471884,0.00005090904],"genre_scores_gemma":[0.9813751,0.0001168186,0.01673833,0.000003999607,0.0003868759,0.00120681,0.0001007097,0.0000316372,0.00003970381],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9803355,"threshold_uncertainty_score":0.2532379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647947774418688,"score_gpt":0.2836840283683812,"score_spread":0.2372045506241944,"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."}}