{"id":"W2081396989","doi":"10.1016/j.ipl.2013.05.005","title":"The complexity of two supply chain scheduling problems","year":2013,"lang":"en","type":"article","venue":"Information Processing Letters","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Beijing Postdoctoral Science Foundation","keywords":"Unary operation; Bottleneck; Scheduling (production processes); Computer science; Component (thermodynamics); Binary number; Supply chain; Job shop scheduling; Product (mathematics); Mathematical optimization; Mathematics; Combinatorics; Arithmetic; Business; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003708577,0.001295806,0.002349332,0.001395571,0.001372292,0.00502079,0.002309527,0.003765383,0.01160421],"category_scores_gemma":[0.02266869,0.001091577,0.001506008,0.002290118,0.002306197,0.006074159,0.00282877,0.003828377,0.0004362768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004079093,"about_ca_system_score_gemma":0.003292795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006916735,"about_ca_topic_score_gemma":0.004475294,"domain_scores_codex":[0.9968042,0.001387163,0.0001383028,0.0004792482,0.000739436,0.0004516199],"domain_scores_gemma":[0.9724064,0.02446877,0.001009734,0.0005966746,0.0006693395,0.0008490453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008536114,0.0004349515,0.001763257,0.0004652942,0.0001530517,0.0004373152,0.0003272759,0.7625642,0.001012979,0.1957384,0.008230195,0.02801935],"study_design_scores_gemma":[0.0001636081,0.00004880796,0.0004931598,0.00001964978,0.00002946914,0.00005280718,0.0001084283,0.8558717,0.0002368381,0.1419226,0.001029936,0.00002285682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4067475,0.002567628,0.5088353,0.01923844,0.000669933,0.0004333046,0.002591379,0.0004122487,0.05850421],"genre_scores_gemma":[0.8938748,0.001044132,0.08763404,0.0005645785,0.0005191515,0.0003829853,0.001552548,0.0001863441,0.01424143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01160421,"threshold_uncertainty_score":0.03881997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560448787905895,"score_gpt":0.2173835268507453,"score_spread":0.2017790389716864,"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."}}