{"id":"W4285247682","doi":"10.5267/j.jpm.2022.3.003","title":"A survey of scheduling problems with uncertain interval/bounded processing/setup times","year":2022,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bounded function; Scheduling (production processes); Computer science; Upper and lower bounds; Job shop scheduling; Mathematical optimization; Interval (graph theory); Random variable; Mathematics; Statistics; 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":[0.001379462,0.001242877,0.001357061,0.001231452,0.0006252319,0.001641617,0.001221395,0.001269687,0.002002405],"category_scores_gemma":[0.002640445,0.0006686612,0.001245063,0.004601923,0.0004692531,0.001850061,0.000543919,0.001212911,0.0007302883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008183889,"about_ca_system_score_gemma":0.001358586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569439,"about_ca_topic_score_gemma":0.0009475044,"domain_scores_codex":[0.9986524,0.0004254758,0.0001496792,0.00026828,0.0004008389,0.0001034346],"domain_scores_gemma":[0.998669,0.0009193341,0.0001283931,0.00006466328,0.0001747326,0.00004385738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003091853,0.0002835799,0.003009968,0.007185162,0.0002432402,0.0004268082,0.0003065831,0.362139,0.004460571,0.09531225,0.01650421,0.5098193],"study_design_scores_gemma":[0.00006963351,0.0006122495,0.004390161,0.001418499,0.0002223508,0.001367566,0.000448684,0.6533005,0.002509464,0.1532459,0.1822961,0.0001188282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02427416,0.2554623,0.6967901,0.001958949,0.0009210246,0.0001679643,0.0006211718,0.0003118852,0.01949242],"genre_scores_gemma":[0.2559231,0.4316065,0.2971138,0.0006994579,0.003576465,0.0003346293,0.00185108,0.0002338127,0.008661044],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002002405,"threshold_uncertainty_score":0.00729537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793521465159055,"score_gpt":0.2608116605881858,"score_spread":0.2328764459365953,"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."}}