{"id":"W2025693074","doi":"10.1021/ie061572g","title":"An Improved MILP Modeling of Sequence-Dependent Switchovers for Discrete-Time Scheduling Problems","year":2007,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Process Optimization and Integration","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Honeywell (Canada)","funders":"","keywords":"Mathematical optimization; Computer science; Sequence (biology); Scheduling (production processes); Binary number; Variable (mathematics); Travelling salesman problem; State variable; Continuous variable; Integer (computer science); Algorithm; Mathematics; Arithmetic","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":[0.001488154,0.001651912,0.0009907122,0.0008832159,0.0005140349,0.001410261,0.001469901,0.001008507,0.004282358],"category_scores_gemma":[0.002114049,0.0007868797,0.001260168,0.0009485729,0.0007635924,0.001417899,0.001022586,0.002399297,0.00065748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189983,"about_ca_system_score_gemma":0.001414271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003961875,"about_ca_topic_score_gemma":0.003729749,"domain_scores_codex":[0.9991395,0.0002972678,0.00003960227,0.0001120196,0.0003009091,0.000110687],"domain_scores_gemma":[0.9992172,0.0004748637,0.0001055104,0.000043629,0.0001160344,0.00004274268],"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":[0.00001580154,0.00001326559,0.00005120596,0.00003105111,0.000006073767,0.00003320704,0.00001493395,0.984677,0.0004669282,0.009397931,0.0003773698,0.004915236],"study_design_scores_gemma":[0.000003070749,0.000007923202,0.00001284854,0.00000443261,0.00000275939,0.000004267876,0.000003860709,0.9964121,0.0002555955,0.002608991,0.0006817859,0.000002399204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003548639,0.0001353432,0.9916646,0.0001211363,0.00004182712,0.00005445555,0.00008519593,0.0001547979,0.004193887],"genre_scores_gemma":[0.3187835,0.0006301148,0.6723584,0.0001941278,0.00009999505,0.0005204759,0.0004934842,0.0002188665,0.006701028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004282358,"threshold_uncertainty_score":0.01432592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08691100143345272,"score_gpt":0.3399977063307585,"score_spread":0.2530867048973058,"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."}}