{"id":"W3153506975","doi":"10.1007/s13398-021-01033-3","title":"The impact of system deterioration and product warranty on optimal lot sizing with maintenance and shortages backordered","year":2021,"lang":"es","type":"article","venue":"Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Warranty; Production (economics); Computer science; Quality (philosophy); Reliability engineering; Reliability (semiconductor); Imperfect; Sizing; Sensitivity (control systems); Operations research; Process (computing); Product (mathematics); Service (business); Heuristic; Business; Economics; Engineering; Mathematics; Microeconomics; Marketing","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":[0.003434358,0.0005975723,0.0009419337,0.0006536205,0.0003435799,0.001239583,0.0006597419,0.0008726876,0.002797714],"category_scores_gemma":[0.01808083,0.0005997765,0.0004645594,0.0005024818,0.0007416013,0.001174843,0.0004048723,0.0008631871,0.0001331605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401842,"about_ca_system_score_gemma":0.001590649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006647332,"about_ca_topic_score_gemma":0.006444407,"domain_scores_codex":[0.9991444,0.0003555768,0.00004633328,0.00009006703,0.0001830969,0.0001805373],"domain_scores_gemma":[0.9771981,0.01917347,0.001392634,0.0003650115,0.001229527,0.0006412218],"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":[0.001641527,0.0001150165,0.00371767,0.0001238511,0.00005100264,0.0002616668,0.0000454229,0.9777908,0.003457227,0.001902906,0.0004523146,0.0104406],"study_design_scores_gemma":[0.00003654985,0.0003779878,0.007440485,0.00001319937,0.0000734186,0.00007193773,0.00006247688,0.9894772,0.001115315,0.001160399,0.0001536093,0.00001729845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609749,0.001032446,0.03059327,0.0004904842,0.0001341393,0.00004489426,0.0001958815,0.0002062648,0.006327625],"genre_scores_gemma":[0.9969319,0.00009720637,0.002204562,0.00001775257,0.00001401807,0.000004982197,0.00003226584,0.00002177909,0.0006755572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006647332,"threshold_uncertainty_score":0.01816285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005444307848821,"score_gpt":0.2633253910399811,"score_spread":0.253270947961493,"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."}}