2018/01/09 by Saeed Z. Gavidel, Gavidel, Saeed Z., Jeremy L. Rickli +1
Decision Sciences · Environmental Science · #Applications (stat.AP) #FOS: Computer and information sciences #Probabilistic and Robust Engineering Design #Risk and Safety Analysis #Wind and Air Flow Studies
paper · pdf · doi:10.48550/arxiv.1801.03093
openalex publication_date 2018/01/09 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
Remanufacturing is a significant factor in securing sustainability through a\ncircular economy. Sorting plays a significant role in remanufacturing\npre-processing inspections. Its significance can increase when remanufacturing\nfacilities encounter extreme situations, such as abnormally huge core arrivals.\nOur main objective in this work is switching from less efficient to a more\nefficient model and to characterize extreme behavior of core arrival in\nremanufacturing and applying the developed model to triage cores. Central\ntendency core flow models are not sufficient to handle extreme situations,\nhowever, complementary Extreme Value (EV) approaches have shown to improve\nmodel efficiency. Extreme core flows to remanufacturing facilities are rare but\nstill likely and can adversely affect remanufacturing business operations. In\nthis investigation, extreme end-of-use core flow is modelled by a threshold\napproach using the Generalized Pareto Distribution (GPD). It is shown that GPD\nhas better performance than its maxima-block GEV counterpart from practical and\ndata efficiency perspectives. The model is validated by a synthesized big\ndataset, tested by sophisticated statistical Anderson Darling (AD) test, and is\napplied to a case of extreme flow to a valve shop in order to predict\nprobability of over-capacity arrivals that is critical in remanufacturing\nbusiness management. Finally, the GPD model combined with triage strategies is\nused to initiate investigations into the efficacy of different triage methods\nin remanufacturing operations.\n