{"id":"W4411342729","doi":"10.1016/j.procir.2025.02.198","title":"An Energy-Aware Flexible Job-Shop Scheduling Problem with Sequencing Flexibility and Sequence-Dependent Setup Times","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Job shop scheduling; Job shop; Flexibility (engineering); Scheduling (production processes); Sequence (biology); Computer science; Industrial engineering; Flow shop scheduling; Engineering; Operations management; Management; Genetics; Economics; Biology; Schedule; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002620987,0.0002839119,0.0002644176,0.000181762,0.0001876524,0.000186834,0.000204842,0.0001531778,0.00003967346],"category_scores_gemma":[0.00002873645,0.0002648811,0.00003068897,0.0004639455,0.00007410419,0.0004192587,0.00004247526,0.0002569226,0.000006833188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187699,"about_ca_system_score_gemma":0.0002505429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005190024,"about_ca_topic_score_gemma":0.00004564579,"domain_scores_codex":[0.9985602,0.00002743542,0.0003001078,0.0004926982,0.0002334329,0.0003861123],"domain_scores_gemma":[0.999226,0.00004793952,0.00004619925,0.000336615,0.0001743207,0.0001689188],"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":[0.00004750282,0.0000484964,0.009641088,0.0008248223,0.0001418654,0.00001786932,0.001269294,0.9625283,0.003588342,0.002892424,0.00008078844,0.01891916],"study_design_scores_gemma":[0.0005199878,0.00005996644,0.000106577,0.0002363909,0.00004770147,0.00002596215,0.0007014029,0.9800156,0.01603704,0.001761591,0.00008952561,0.0003982061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2492855,0.002132849,0.7292112,0.0003015002,0.0004992657,0.0006485525,0.00004309919,0.003718257,0.01415974],"genre_scores_gemma":[0.8775367,0.0001111383,0.1214018,0.0001309218,0.00009962743,0.00008977406,0.00003636976,0.0000513933,0.0005422644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6282512,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629710851524193,"score_gpt":0.2512671677376722,"score_spread":0.2349700592224302,"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."}}