ArticleScientific reports2026
Sustainable-resilient and climate-responsive e-waste supply chain network design under uncertainty using four-valued refined neutrosophic optimization.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
The rapid growth of electronic waste (e-waste) poses significant environmental and sustainability challenges and contributes to climate change. This paper presents a multi-objective, multi-period, mixed-integer linear programming (MILP) model of sustainable e-waste management, which incorporates economic, environmental, social, and risk-related objectives. The model focuses on maximizing four objectives, namely, (i) profit maximization, (ii) CO
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