{"id":"W4226087358","doi":"10.5267/j.jpm.2022.1.002","title":"Solution methods for the integrated permutation flowshop and vehicle routing problem","year":2022,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Job shop scheduling; Permutation (music); Vehicle routing problem; Mathematical optimization; Greedy algorithm; Computer science; Schedule; Production (economics); Iterated local search; Routing (electronic design automation); Focus (optics); Integrated production; Iterated function; Integer (computer science); Mathematics; Metaheuristic","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001318211,0.00005823881,0.0000776876,0.0001189983,0.000192133,0.0000474888,0.00008617442,0.00001135518,0.0000105214],"category_scores_gemma":[0.00002523846,0.00004279915,0.00004011927,0.0002097623,0.000007194647,0.00007780091,0.00003678987,0.0001371606,1.896474e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009936711,"about_ca_system_score_gemma":0.0000126918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003862948,"about_ca_topic_score_gemma":5.819327e-7,"domain_scores_codex":[0.9994483,0.00006920337,0.0002197658,0.00005695405,0.0001131332,0.00009264476],"domain_scores_gemma":[0.9997135,0.00007645503,0.00008577059,0.00005213703,0.00005854957,0.00001359294],"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":[0.00002910824,0.00001909145,0.00001904109,0.00006036019,0.0001567204,0.000002022661,0.001419653,0.7169138,0.0004364903,0.0005057553,0.0009011314,0.2795368],"study_design_scores_gemma":[0.0004167623,0.00007215323,0.0001058806,0.00001285447,0.00007070447,0.00001548654,0.003213005,0.9882123,0.0001213943,0.0001028706,0.007603606,0.00005302199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002712507,0.0005784826,0.9954004,0.0002999593,0.0003686038,0.0003614168,0.000001521074,0.00003716081,0.0002399707],"genre_scores_gemma":[0.1253491,0.000137183,0.8739958,0.00005747258,0.00007831117,0.00008069345,0.00000410372,0.00001847913,0.0002788146],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2794838,"threshold_uncertainty_score":0.1745299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283591459422462,"score_gpt":0.307624150658146,"score_spread":0.2847882360639213,"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."}}