{"id":"W2063461301","doi":"10.1080/00207543.2011.574952","title":"Jobshop lot streaming with routing flexibility, sequence-dependent setups, machine release dates and lag time","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Job shop scheduling; Computer science; Scheduling (production processes); Mathematical optimization; Distributed computing; Flow shop scheduling; Flexibility (engineering); Real-time computing; Sequence (biology); Algorithm; Routing (electronic design automation); Mathematics; Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000633548,0.0006680548,0.000660977,0.0003291157,0.0004171754,0.0005972078,0.001441718,0.0007128178,0.002010231],"category_scores_gemma":[0.001056767,0.0004878369,0.0009216777,0.0006524493,0.0006752856,0.001105672,0.0005197179,0.0006987616,0.0002407966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007700631,"about_ca_system_score_gemma":0.00077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003969492,"about_ca_topic_score_gemma":0.003877599,"domain_scores_codex":[0.9997106,0.00007471834,0.00001473295,0.00006166572,0.00008763505,0.00005065619],"domain_scores_gemma":[0.9994251,0.0002525372,0.0001224836,0.00007974465,0.00006686862,0.00005337326],"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":[0.00006435103,0.00003178075,0.0003299667,0.00003557355,0.00001354194,0.0001232327,0.00002144154,0.9816818,0.002055673,0.009242296,0.0003187572,0.006081693],"study_design_scores_gemma":[0.000008149909,0.00003376617,0.0001041973,0.000001994047,0.000005227375,0.00003262639,0.000006167023,0.9958885,0.0004180055,0.00316104,0.0003345303,0.000005868206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06793645,0.000241927,0.9271585,0.0001720684,0.00005995074,0.000119862,0.0001791421,0.0003720481,0.003760071],"genre_scores_gemma":[0.8962833,0.0003254003,0.09579702,0.0000551776,0.00003947456,0.0001646214,0.0002812246,0.00006843428,0.006985298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003969492,"threshold_uncertainty_score":0.007892787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09754097223539378,"score_gpt":0.3448485246241702,"score_spread":0.2473075523887764,"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."}}