{"id":"W2075038193","doi":"10.1016/j.ejor.2005.08.027","title":"Multi-period planning and uncertainty issues in cellular manufacturing: A review and future directions","year":2006,"lang":"en","type":"review","venue":"European Journal of Operational Research","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":167,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Operations research; New product development; Product (mathematics); Resource (disambiguation); Cellular manufacturing; Product mix; Resource planning; Risk analysis (engineering); Management science; Industrial engineering; Operations management; Economics; Business; Environmental resource management; Engineering; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001600382,0.0002306578,0.0006640799,0.0004272664,0.0001526387,0.0001359675,0.0001636138,0.00006112229,0.00002337102],"category_scores_gemma":[0.0001380004,0.000183759,0.00007010178,0.0001634101,0.00007426576,0.0001505695,0.00006300246,0.0011164,0.00000525223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166756,"about_ca_system_score_gemma":0.00006463586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003415491,"about_ca_topic_score_gemma":0.000002068131,"domain_scores_codex":[0.9980644,0.0005673103,0.0006502537,0.0001903678,0.0003048333,0.0002228377],"domain_scores_gemma":[0.9993878,0.0001395869,0.0001034837,0.0001226414,0.0001442695,0.0001022177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000993917,0.00007269502,0.000004529481,0.02973324,0.0001702049,0.0009359632,0.0003811162,0.1493596,0.000004397692,0.0001092871,0.004560919,0.814658],"study_design_scores_gemma":[0.0001691567,0.0000409822,0.00004951615,0.007807077,0.00006366701,0.0001872509,0.00002558562,0.0006016477,0.000002867373,0.000007740793,0.9908738,0.0001707193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001073015,0.9970225,0.001840617,0.0001418394,0.0001171966,0.000260102,0.00001666461,0.00001716621,0.0005731669],"genre_scores_gemma":[0.00008373052,0.9923383,0.006589566,0.000009533987,0.0005570353,0.000006876472,0.00005081955,0.00005611577,0.000308039],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9863129,"threshold_uncertainty_score":0.7493473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08361112438579654,"score_gpt":0.3795534717682478,"score_spread":0.2959423473824513,"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."}}