{"id":"W3125747142","doi":"10.1002/nav.20127","title":"Optimal pricing and inventory control policy in periodic‐review systems with fixed ordering cost and lost sales","year":2005,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Profit (economics); Economic shortage; Time horizon; Economics; Holding cost; Inventory control; Fixed cost; Lost sales; Microeconomics; Operations research; Operations management; Mathematics; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002865925,0.0009154733,0.001870723,0.00068836,0.0006756999,0.002023416,0.002116975,0.001913784,0.003078854],"category_scores_gemma":[0.008908562,0.001050974,0.0007541609,0.0006733458,0.001292753,0.001843113,0.0008013208,0.00119559,0.0003404772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163547,"about_ca_system_score_gemma":0.001257928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202578,"about_ca_topic_score_gemma":0.005350724,"domain_scores_codex":[0.9984067,0.0005419694,0.00006201772,0.0002535206,0.0002813693,0.0004544274],"domain_scores_gemma":[0.9955965,0.002465886,0.0009737752,0.000226436,0.000490077,0.0002473528],"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":[0.000212238,0.00006916944,0.0005929365,0.00004610918,0.00003092992,0.0002263664,0.00005266974,0.9831703,0.001140651,0.008164759,0.0004432829,0.005850453],"study_design_scores_gemma":[0.00002119486,0.00006024631,0.0003060651,0.000003880366,0.000008757309,0.00002382075,0.00001595163,0.9965389,0.0001886645,0.002717657,0.0001045544,0.000010416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6581295,0.0008702461,0.3295203,0.001037484,0.0001342676,0.0002052484,0.0002383855,0.0003917905,0.009472735],"genre_scores_gemma":[0.9945201,0.00007906479,0.003800755,0.00002646483,0.00001932596,0.0000303745,0.00003515858,0.00001249543,0.001476254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01202578,"threshold_uncertainty_score":0.02391154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07293796050798713,"score_gpt":0.3303829225323653,"score_spread":0.2574449620243782,"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."}}