{"id":"W2001458457","doi":"10.1109/coase.2012.6386428","title":"Design of an order acceptance and scheduling module in a unified framework with product and process features","year":2012,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Order fulfillment; Computer science; Enterprise resource planning; Scheduling (production processes); Manufacturing execution system; Build to order; Production planning; Material requirements planning; Manufacturing engineering; Process development execution system; Computer-integrated manufacturing; Systems engineering; Process management; Industrial engineering; Production (economics); Engineering; Knowledge management; Operations management; Supply chain; Business","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":[0.00237672,0.0007687891,0.0008972607,0.0010476,0.0005916906,0.002108646,0.002414678,0.000940025,0.002086621],"category_scores_gemma":[0.002041413,0.0006931749,0.001337183,0.001085558,0.0007705486,0.002180576,0.001074075,0.001198256,0.000764276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138984,"about_ca_system_score_gemma":0.00304791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006636362,"about_ca_topic_score_gemma":0.00503091,"domain_scores_codex":[0.9988682,0.000185073,0.0001292713,0.0003157708,0.0003415829,0.0001600711],"domain_scores_gemma":[0.999292,0.0001894096,0.00009416619,0.0001443441,0.0001990242,0.00008102551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005112415,0.0004786145,0.00641261,0.0008681873,0.0002839534,0.0006093975,0.001124466,0.2794755,0.06690416,0.1470315,0.006424228,0.4898761],"study_design_scores_gemma":[0.00009032877,0.0002680609,0.001348106,0.0000720657,0.0001751545,0.0002695243,0.0001210322,0.9095376,0.02948099,0.01431367,0.04424782,0.00007567546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006998799,0.00007034397,0.988912,0.00005971473,0.00001388484,0.0002093335,0.00007398087,0.002720642,0.0009413423],"genre_scores_gemma":[0.1006367,0.0001158498,0.8965466,0.00006593002,0.00003564121,0.0003427405,0.0004531297,0.0003506407,0.001452697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006636362,"threshold_uncertainty_score":0.01319546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304178777305726,"score_gpt":0.2458603324186218,"score_spread":0.2328185446455645,"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."}}