{"id":"W2126310456","doi":"10.5539/mas.v3n6p83","title":"The Work in Process (WIP) Control Model and Its Application Simulation in Small-batch and Multi-varieties Production Mode","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Batch production; Production line; Factory (object-oriented programming); Scheduling (production processes); Computer science; Production (economics); Process (computing); Work in process; Production control; Manufacturing engineering; Work (physics); Volume (thermodynamics); Process control; Industrial engineering; Process engineering; Engineering; Operations management; Mechanical engineering","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":[0.0005328542,0.0005841316,0.0006232529,0.0003145972,0.0004682361,0.0007184285,0.001115016,0.0007919401,0.00208212],"category_scores_gemma":[0.0009073906,0.0002937353,0.0007176888,0.0004030984,0.0004087123,0.0005872776,0.0003940266,0.0006419347,0.0001715437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007121766,"about_ca_system_score_gemma":0.000989305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01888052,"about_ca_topic_score_gemma":0.005904485,"domain_scores_codex":[0.9997247,0.00008103361,0.00001567595,0.00005583574,0.00008109878,0.00004159959],"domain_scores_gemma":[0.9995983,0.0002046232,0.0000579254,0.00002625865,0.00008293078,0.00002991879],"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":[0.00002231236,0.00001859861,0.0002370695,0.00001525667,0.000004398729,0.00002851008,0.00001941804,0.9962745,0.0004001646,0.001316689,0.00008031012,0.001582883],"study_design_scores_gemma":[0.000006022831,0.00001664126,0.00006954907,0.000001011698,0.000002127227,0.000002434839,0.000004469736,0.9992781,0.0001862602,0.0003136771,0.0001181768,0.000001571328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2482402,0.0002935779,0.7330748,0.0003699723,0.00009140662,0.0002316164,0.000345706,0.000494472,0.01685815],"genre_scores_gemma":[0.9717389,0.0002023318,0.02421544,0.00001697827,0.000008825496,0.0002145097,0.0001633484,0.00002236702,0.003417302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01888052,"threshold_uncertainty_score":0.03754121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397313085329665,"score_gpt":0.250789455432385,"score_spread":0.2368163245790883,"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."}}