End-of-Use Core Triage in Extreme Scenarios Based on a Threshold Approach
Saeed Z.Gavidel, Jeremy L. Rickli

TL;DR
This paper develops a threshold-based model using the Generalized Pareto Distribution to predict extreme core arrival flows in remanufacturing, improving efficiency in handling rare but impactful extreme scenarios.
Contribution
It introduces a GPD-based model for extreme core flow prediction and demonstrates its effectiveness over GEV, enhancing remanufacturing triage strategies in extreme situations.
Findings
GPD outperforms GEV in modeling extreme core flows.
The model accurately predicts over-capacity probability in a case study.
GPD-based triage improves operational decision-making.
Abstract
Remanufacturing is a significant factor in securing sustainability through a circular economy. Sorting plays a significant role in remanufacturing pre-processing inspections. Its significance can increase when remanufacturing facilities encounter extreme situations, such as abnormally huge core arrivals. Our main objective in this work is switching from less efficient to a more efficient model and to characterize extreme behavior of core arrival in remanufacturing and applying the developed model to triage cores. Central tendency core flow models are not sufficient to handle extreme situations, however, complementary Extreme Value (EV) approaches have shown to improve model efficiency. Extreme core flows to remanufacturing facilities are rare but still likely and can adversely affect remanufacturing business operations. In this investigation, extreme end-of-use core flow is modelled by…
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Taxonomy
TopicsProbabilistic and Robust Engineering Design · Wind and Air Flow Studies · Risk and Safety Analysis
