{"id":"W2046518841","doi":"10.1007/s00170-005-0354-9","title":"Investigating optimal capacity scalability scheduling in a reconfigurable manufacturing system","year":2006,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Scalability; Control reconfiguration; Modular design; Scheduling (production processes); Computer science; Capacity planning; Key (lock); Capacity optimization; Distributed computing; Engineering; Embedded system; Operations management","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":[0.0008970944,0.0005046909,0.000692439,0.0004992766,0.000466317,0.0009244829,0.0007906201,0.0005463054,0.0022012],"category_scores_gemma":[0.004971125,0.0003961613,0.0003647244,0.000715183,0.0006623751,0.0009580225,0.0003776417,0.0004803492,0.00006633291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486888,"about_ca_system_score_gemma":0.001777985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184731,"about_ca_topic_score_gemma":0.005965736,"domain_scores_codex":[0.9996489,0.0001133618,0.000009273102,0.00004913717,0.00005835511,0.0001208494],"domain_scores_gemma":[0.9972589,0.002153399,0.000222838,0.00007001204,0.000165668,0.0001291199],"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":[0.0002680749,0.00007754125,0.0005814875,0.00005803584,0.00002316748,0.00008888062,0.00002333485,0.9881755,0.004419499,0.002568902,0.0002163666,0.003499247],"study_design_scores_gemma":[0.00001872954,0.00005351714,0.0001893521,0.000001334069,0.000008403717,0.000005991198,0.00002223808,0.9982991,0.0006755224,0.0006869074,0.00003608503,0.000002807373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508183,0.0003953946,0.04174091,0.0003968189,0.00006720406,0.00006528474,0.00007512557,0.00010986,0.006330939],"genre_scores_gemma":[0.9941086,0.0000527748,0.005346056,0.00001754344,0.00001124602,0.00001062506,0.00002030608,0.00001609244,0.0004168479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184731,"threshold_uncertainty_score":0.02355671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009071982028945595,"score_gpt":0.211469466405054,"score_spread":0.2023974843761084,"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."}}