{"id":"W4402847124","doi":"10.5267/j.ijiec.2024.7.003","title":"An optimization approach for assembly job shop order release based on clearing functions","year":2024,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clearing; Order (exchange); Job shop; Mathematical optimization; Build to order; Computer science; Operations research; Engineering; Industrial engineering; Business; Mathematics; Microeconomics; Production (economics); Job shop scheduling; Economics; Flow shop scheduling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002041436,0.001561647,0.00199074,0.001172825,0.0007463369,0.001941446,0.001866142,0.001447853,0.004286759],"category_scores_gemma":[0.002132972,0.0009583443,0.001525875,0.001407849,0.0007167169,0.001369351,0.0008770825,0.001286793,0.0005683502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523931,"about_ca_system_score_gemma":0.003037779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271046,"about_ca_topic_score_gemma":0.006863794,"domain_scores_codex":[0.9991024,0.000308335,0.00003775518,0.0001520789,0.0002303294,0.0001691665],"domain_scores_gemma":[0.9992736,0.0003866889,0.0001116274,0.00003918701,0.0001337121,0.00005525379],"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":[0.00002211193,0.00002480835,0.0001069182,0.00003850987,0.00001043763,0.00003960077,0.00001411678,0.9898756,0.0004124737,0.0032578,0.0003410263,0.005856588],"study_design_scores_gemma":[0.000005259854,0.00001972523,0.00004657717,0.000003817531,0.000004602894,0.000008171894,0.000005488109,0.9986674,0.000122294,0.0008370766,0.0002758429,0.00000383188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01233184,0.0003548332,0.9824005,0.0001030407,0.00005108523,0.000126532,0.00007726967,0.0002080676,0.004346825],"genre_scores_gemma":[0.6424994,0.0008107423,0.3465433,0.0001230993,0.00008347307,0.0004982716,0.0003792831,0.0003056281,0.00875674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01271046,"threshold_uncertainty_score":0.02527297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104017814480447,"score_gpt":0.260627631171557,"score_spread":0.2395874530267526,"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."}}