{"id":"W4408378905","doi":"10.5267/j.ijiec.2025.1.007","title":"Flexible job-shop scheduling problem with the number of workers dependent processing times","year":2025,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Job shop scheduling; Flow shop scheduling; Scheduling (production processes); Job shop; Mathematical optimization; Computer science; Operations research; Operations management; Industrial engineering; Mathematics; Engineering; Schedule","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":[0.002039748,0.001387523,0.001886328,0.000812071,0.001248471,0.001204636,0.001861374,0.001506121,0.00200797],"category_scores_gemma":[0.002279648,0.0007286497,0.001686539,0.001560011,0.0007825635,0.0009066297,0.0008159649,0.001072396,0.0002683055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009279494,"about_ca_system_score_gemma":0.002129106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004720719,"about_ca_topic_score_gemma":0.003915328,"domain_scores_codex":[0.9982432,0.0006022981,0.0001214171,0.0003937976,0.0003085274,0.0003307299],"domain_scores_gemma":[0.9982894,0.0009848252,0.0002406674,0.0001124173,0.0001805411,0.0001922345],"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":[0.0002475386,0.0001185944,0.0006590593,0.0003061896,0.0000962559,0.0006309459,0.0001157076,0.9668805,0.00375528,0.006982836,0.001079582,0.01912742],"study_design_scores_gemma":[0.00006823963,0.000196852,0.000589856,0.00001413533,0.00003964767,0.0001503016,0.00006158379,0.989148,0.0009796291,0.00771176,0.001018257,0.00002166066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1562283,0.000772331,0.833282,0.0004835088,0.0002375658,0.0004601872,0.0007298572,0.0004061628,0.007400207],"genre_scores_gemma":[0.8652312,0.0004336978,0.1282035,0.00007439817,0.00009985051,0.0005134612,0.0004861564,0.00006238697,0.004895526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004720719,"threshold_uncertainty_score":0.01078731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498482121729295,"score_gpt":0.2650527049214081,"score_spread":0.2500678837041152,"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."}}