Session

Session 3.2 - OR in waste management

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Room 2

Room 2

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  1. Tania Rodrigues Pereira Ramos (CEGIST, Instituto Superior Técnico, Universidade de Lisboa)
    Apresentação regular

    This study analyzes the waste collection operations of the municipality of Figueira da Foz, Portugal, using real operational data from February 2020 to April 2024. The objective is to evaluate and optimize the current system through four distinct scenarios. First, we establish a baseline by examining the existing system, which operates on fixed schedules and routes - a method commonly referred...

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  2. Marta Castilho Gomes (CERIS, Instituto Superior Técnico)
    Apresentação regular

    Os impactos causados pelos resíduos de construção e demolição (RCD) podem ser elevados caso não se efetue uma gestão eficaz dos mesmos. Em consequência, as preocupações relacionadas com esta gestão têm aumentado nos últimos anos, estimulando a elaboração de estudos sobre o assunto.
    Este trabalho deu continuidade aos trabalhos de Correia (2013) e Andrade (2015), que desenvolveram uma nova...

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  3. Héctor Fabio Bonilla Bonilla Londoño (CEGIST, Instituto Superior Técnico, Universidade de Lisboa)
    Apresentação regular

    This study addresses the Waste Collection Vehicle Routing Problem with Profit (WCVRP) while considering uncertainty in bin fill levels a critical challenge for municipalities and waste management providers aiming to enhance service efficiency. In real-world conditions, bins fill levels fluctuate unpredictably, leading to inefficient routing, unnecessary trips, or uncollected waste. To tackle...

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  4. Simone Lima (INESCTEC)
    Apresentação regular

    The recovery of food waste is a trend in the current context of sustainability, circular economy, and waste reduction. For example, it is possible to use peels, seeds, and non-standard fruit to produce new products such as jams, teas, flour, or transform them into animal feed, biofertilizers, or cosmetics. The literature on food waste and losses along the food supply chain is vast, but...

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