{"id":"W4377102312","doi":"10.1016/j.aei.2023.102010","title":"An energy-efficient multi-objective integrated process planning and scheduling for a flexible job-shop-type remanufacturing system","year":2023,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Mathematical optimization; Computer science; Job shop scheduling; Scheduling (production processes); Job shop; Industrial engineering; Engineering; Flow shop scheduling; Schedule; Manufacturing engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007848226,0.0007052819,0.00131504,0.0005822631,0.0009186136,0.0009938793,0.001064553,0.001011543,0.001682149],"category_scores_gemma":[0.0006321893,0.0005531768,0.001051423,0.0006325229,0.000396243,0.0004985962,0.0008095179,0.0005611206,0.0001690654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008022208,"about_ca_system_score_gemma":0.002232511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096038,"about_ca_topic_score_gemma":0.01041242,"domain_scores_codex":[0.999589,0.0001019109,0.00001756026,0.00008377348,0.0001031231,0.0001047031],"domain_scores_gemma":[0.9997371,0.0001057597,0.00003778201,0.00001720714,0.00006535341,0.00003686405],"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":[0.00009295327,0.00007266051,0.0002425475,0.00005585843,0.00002840229,0.00008414118,0.00003127001,0.979182,0.003628858,0.001154448,0.0002486662,0.0151783],"study_design_scores_gemma":[0.00000955683,0.00004642711,0.00008834506,0.000001384224,0.000007174068,0.00000586103,0.000005879313,0.9992058,0.0003535105,0.0001840097,0.00008886999,0.000003292845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1713955,0.0004308703,0.8200305,0.0002648777,0.00008573092,0.0002019113,0.000150967,0.0005795478,0.006860224],"genre_scores_gemma":[0.9215369,0.0001063592,0.07600928,0.00004408121,0.00001946508,0.0001360647,0.00009892909,0.0000295618,0.002019358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01096038,"threshold_uncertainty_score":0.02179313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170494528418303,"score_gpt":0.2456443500333695,"score_spread":0.2339394047491864,"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."}}