{"id":"W2623575254","doi":"10.1108/ijlss-03-2016-0009","title":"Simulation-based analysis of a supplier-manufacturer relationship in lean supply chains","year":2017,"lang":"en","type":"article","venue":"International Journal of Lean Six Sigma","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Supply chain; Production (economics); Sizing; Computer science; Lean manufacturing; Process (computing); Conceptual model; Service (business); Supply chain management; Process management; Service level; Industrial engineering; Manufacturing engineering; Operations research; Engineering; Business; Marketing; Economics","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":[0.001020903,0.0004616314,0.0004957197,0.0007006287,0.0005016383,0.00126251,0.0007445592,0.000943022,0.003378535],"category_scores_gemma":[0.002396824,0.0003408088,0.0006379301,0.0007302103,0.0005913957,0.0008920757,0.000709107,0.000573802,0.0001743525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167268,"about_ca_system_score_gemma":0.001739656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616518,"about_ca_topic_score_gemma":0.00805717,"domain_scores_codex":[0.9994153,0.0003525205,0.00002029463,0.00004450214,0.00008653416,0.00008092568],"domain_scores_gemma":[0.9981936,0.00130787,0.000168392,0.0000761952,0.0001946904,0.00005938323],"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":[0.00003582152,0.0000310047,0.0009984634,0.00001590374,0.00001044344,0.0000397453,0.00004468808,0.9934846,0.0002559833,0.004121917,0.00004114076,0.0009203689],"study_design_scores_gemma":[0.00001193941,0.00004222015,0.0002894525,0.000008003999,0.0000072608,0.000006878553,0.00005571859,0.9977403,0.0001819037,0.001404115,0.0002469605,0.000005348252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7937372,0.0002634066,0.1790431,0.0003876041,0.00003517903,0.0002264893,0.0003406773,0.0001756334,0.02579065],"genre_scores_gemma":[0.9891868,0.0001135643,0.009282775,0.00001801115,0.000003245661,0.00007946336,0.00008099224,0.000008873613,0.001226175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616518,"threshold_uncertainty_score":0.03214222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04010223504621371,"score_gpt":0.3151862589845627,"score_spread":0.275084023938349,"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."}}