{"id":"W2311888033","doi":"","title":"A MILP model for joint product family and supply chain design","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Supply chain; Substitution (logic); Computer science; Product (mathematics); Joint (building); Mathematical optimization; Product design; Component (thermodynamics); Linear programming; Integer programming; Chain (unit); Mathematics; Engineering; Business; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"MILP optimization model for joint product family and supply chain design; operations research on a design problem, not on research."},"gpt":{"tier":"OUT","genre":"conceptual","about_ca":false,"confidence":"high","reason":"The work proposes a supply-chain design model and does not study research itself."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"medium","reason":"Title is joint product-family and supply-chain optimization; domain operations research with thin abstract."}},"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001568911,0.001275982,0.001215815,0.000911148,0.0005783293,0.001849334,0.001622213,0.001976195,0.007007093],"category_scores_gemma":[0.003444032,0.0009396937,0.001395348,0.001353329,0.0008516341,0.001737034,0.001448973,0.001557395,0.0009484943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142271,"about_ca_system_score_gemma":0.001691269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004315536,"about_ca_topic_score_gemma":0.003016286,"domain_scores_codex":[0.999111,0.0003692253,0.00003100294,0.000106385,0.0002788547,0.0001035846],"domain_scores_gemma":[0.9989261,0.0006486239,0.0000928892,0.00007563825,0.0001775062,0.00007920428],"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":[0.0000238618,0.00001902783,0.00007775983,0.00003392941,0.00001384955,0.00005945814,0.00002223484,0.9665111,0.000296122,0.02587882,0.0004302326,0.006633714],"study_design_scores_gemma":[0.000004935534,0.00001176451,0.00001522772,0.000005403561,0.00000711311,0.000009283935,0.000005018458,0.9872174,0.0001094651,0.0121131,0.0004984637,0.000002864188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006157999,0.0001495412,0.9854293,0.0002008834,0.00002370099,0.00004990265,0.0001042987,0.0001060597,0.007778239],"genre_scores_gemma":[0.6571075,0.0007286362,0.3169602,0.0001835508,0.00008620832,0.0006049427,0.0004481034,0.0001706428,0.02371035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007007093,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112750274974748,"score_gpt":0.2079251771746513,"score_spread":0.1667976744249038,"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."}}