{"id":"W2766455075","doi":"10.1016/j.compind.2017.10.002","title":"Simulation-optimisation based framework for Sales and Operations Planning taking into account new products opportunities in a co-production context","year":2017,"lang":"en","type":"article","venue":"Computers in Industry","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Context (archaeology); Plan (archaeology); Product (mathematics); Production planning; Order (exchange); Sales and operations planning; Operations research; Commodity; Decision maker; Engineering; Manufacturing engineering; Computer science; Business; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001692617,0.0001496746,0.0002186317,0.0006030312,0.0005875609,0.001378689,0.0005148266,0.0002373098,0.00001658912],"category_scores_gemma":[0.008740888,0.000148559,0.000022888,0.0002311117,0.0001476966,0.001439696,0.0001254426,0.0003535866,0.000002763755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117929,"about_ca_system_score_gemma":0.0001961913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475138,"about_ca_topic_score_gemma":0.0001563784,"domain_scores_codex":[0.9982948,0.0001021356,0.0005408566,0.0005264451,0.0003623574,0.0001733626],"domain_scores_gemma":[0.997743,0.0009281047,0.0003077184,0.0007257136,0.0002426103,0.00005287302],"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":[0.00003344762,0.0000594076,0.06247062,0.00002098772,0.000008488692,0.000005877358,0.003189164,0.7911431,0.00006314802,0.009676124,0.005089049,0.1282406],"study_design_scores_gemma":[0.0007054352,0.00008316836,0.05584543,0.0007209852,0.000009808077,0.000001551907,0.004299619,0.909007,0.0006393673,0.02297995,0.005327969,0.0003796783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4283907,0.00005226648,0.5581377,0.01160556,0.0006423348,0.0009198295,0.000004133426,0.00007125203,0.0001763001],"genre_scores_gemma":[0.8270775,0.000002747754,0.1720631,0.0003959523,0.0002204392,0.00006088907,0.00001913725,0.00001129,0.0001488842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3986869,"threshold_uncertainty_score":0.999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4119907441989462,"score_gpt":0.4757350862610759,"score_spread":0.0637443420621297,"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."}}