{"id":"W2097927160","doi":"10.5267/j.ijiec.2013.06.005","title":"Two-warehouse production policy for different demands under volume flexibility","year":2013,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Warehouse; Holding cost; Operations research; Volume (thermodynamics); Production (economics); Stock (firearms); Mathematical optimization; Carrying cost; Function (biology); Computer science; Operations management; Economics; Total cost; Microeconomics; Mathematics; Business; Engineering; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625756,0.001107746,0.001373109,0.0007935502,0.0006549503,0.002497601,0.002181161,0.001777904,0.004467197],"category_scores_gemma":[0.002226356,0.0007189538,0.001219997,0.001102533,0.0008829075,0.002052719,0.001060512,0.001431161,0.0004079871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002263764,"about_ca_system_score_gemma":0.00123346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006272164,"about_ca_topic_score_gemma":0.003830333,"domain_scores_codex":[0.9991758,0.0002099779,0.00003392312,0.0001677161,0.0001244204,0.000287987],"domain_scores_gemma":[0.9987258,0.000598288,0.0002311362,0.0001126684,0.0001575237,0.0001746517],"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":[0.0002306644,0.00008201331,0.0004287425,0.00007140486,0.00002469812,0.0002691245,0.00004049741,0.9879524,0.00261478,0.004998502,0.0002967393,0.002990472],"study_design_scores_gemma":[0.00002352767,0.000117716,0.0004297142,0.000008131868,0.00001520796,0.00004580857,0.00004443478,0.9960502,0.0006657129,0.002336828,0.0002434831,0.0000191686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5166579,0.001357321,0.45834,0.001003379,0.0001965412,0.0003936068,0.0007904095,0.0005557954,0.02070509],"genre_scores_gemma":[0.9886924,0.0001597955,0.008244254,0.00004199558,0.00001184716,0.00005324101,0.00009268216,0.00002816816,0.002675614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006272164,"threshold_uncertainty_score":0.01642489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805879213032813,"score_gpt":0.2740737514801004,"score_spread":0.2260149593497723,"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."}}