{"id":"W2116119084","doi":"10.5267/j.ijiec.2010.07.007","title":"An EOQ model with time dependent Weibull deterioration and ramp type demand","year":2010,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weibull distribution; Economic order quantity; Sensitivity (control systems); Order (exchange); Production (economics); Operations research; Reliability engineering; Economics; Econometrics; Computer science; Mathematics; Engineering; Statistics; Microeconomics; Business","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":[0.0002650802,0.0001036733,0.0001107434,0.0003483056,0.00004966233,0.0003494738,0.0002134442,0.00005508555,0.00006172797],"category_scores_gemma":[0.00008602501,0.00009147445,0.00002659151,0.0001169088,0.00001941087,0.0009499853,0.00004176093,0.0002358585,0.00001196067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002740041,"about_ca_system_score_gemma":0.00004076547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001617493,"about_ca_topic_score_gemma":0.00000975284,"domain_scores_codex":[0.9992275,0.000004765828,0.0002661428,0.00009888769,0.0003098372,0.00009283547],"domain_scores_gemma":[0.9992474,0.00002775965,0.0002033505,0.00006703632,0.0004273629,0.00002705289],"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":[0.0001191774,0.000089548,0.001488637,0.000007062853,0.0001242515,0.00002757639,0.00006039143,0.9776154,0.01067702,0.004548924,0.0009113088,0.004330768],"study_design_scores_gemma":[0.001197366,0.00005839645,0.0005399916,0.00004936228,0.00004664003,0.00003902514,0.00003337257,0.9940714,0.0001399008,0.000454914,0.00322936,0.0001402965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202575,0.000008964224,0.07676382,0.0008484503,0.001657307,0.0001165633,0.000002590732,0.0000426906,0.0003021017],"genre_scores_gemma":[0.9950911,0.000001930694,0.002843163,0.0001705515,0.001817729,0.00000190292,0.00001998318,0.00001605065,0.0000376028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07483358,"threshold_uncertainty_score":0.373022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185537321161095,"score_gpt":0.2304581340121384,"score_spread":0.2119044018960289,"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."}}