Open Access Journal of Engineering Applications
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Multi-Objective Optimization Applied to Microplastic Contamination

Santiago Bose Corresponding
University of Moratuwa
Ashraful Morales 0000-0003-0500-0447
National University of Sciences and Technology
Shakil Mahmoud 0000-0003-1179-0254
Islamic University of Technology
30 Sep 2024
pp. 668-699
https://doi.org/10.55555/oajea.2024.4802.034

Abstract

Quantifying microplastic contamination is a prerequisite for evidence-based policy on cold chain logistics. Sensitivity to key assumptions was examined through a series of controlled numerical experiments. A 26% reduction in emissions was obtained relative to current practice. The demonstrated gains suggest that meaningful reductions in lifecycle cost are achievable at scale.
Keywords: microplastic contaminationRaman spectroscopylithium-ion batteriesgraphenecorrosion resistancesustainability

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