Optimizing Potable Water Infrastructure: A Study of Operational Efficiency in Baní, Dominican Republic

This study looks at water treatment in Baní and finds ways to improve efficiency, cut costs, and reduce waste. The plan includes better resource use, maintenance, and tech upgrades to support sustainable water services. This

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Transformative Power of Inland Ports to Revolutionize Global Sustainability and Contribute to the UN SDGs

Inland ports reduce congestion, support trade, and create jobs while cutting emissions. This paper reviews their role in regional growth and shows strategies to better align port operations with sustainability goals. Inland ports are increasingly

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Towards An Individual Decision-Making Framework to Achieve Mitigation of Climate Change Effects with a Local Perspective

This study looks at how choosing certain plants with traits like shade, leaves, and crown shape can help Puerto Rico communities face climate disasters. It shows how individual and community decisions play a big role

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A Sustainability Education Dilemma: Is a better environment worth a worse economy?

This paper shows a student project using bamboo instead of aluminum in vehicle design. It highlights both the benefits for sustainability and the technical and economic challenges, stressing the need for life cycle assessment in

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Reflections in Education for Responsible Use of Nuclear Energy and Alternative Energies

This paper looks at rising energy demand, problems from fossil fuels, and the role of alternatives like solar, wind, hydro, and nuclear. It argues nuclear can be a reliable temporary option to cut emissions while

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Building sustainable infrastructure and scaling access to Water, Sanitation and Hygiene (WASH) in rural Alabama

This case study shows how PEER Consultants used sustainable engineering to install wastewater systems in rural Alabama. By involving the community and tailoring solutions to culture and needs, they improved health, equity, and long-term sanitation

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Application of Principal Component Analysis as an Unsupervised Machine Learning to Model Socio-Economic Status of a Community under Natural Disaster

CRISys is a data-driven framework that measures community resilience during disasters using census data and machine learning. It shows how socio-economic factors shape recovery in Jefferson County, TX. Community resilience is defined as an ability

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Data-Driven Solutions for MSW Material Composition Prediction: Bridging Industrial Engineering and Sustainability

Using machine learning, this study predicts waste composition by county to improve recycling and waste-to-energy planning. It also builds the first open dataset to help governments and educate the public on better waste habits. According

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Food Wastage in Food Service Industry, Drivers & Consequences

Food production uses lots of land, water, and causes high emissions. A big part of food waste happens in restaurants and retail. Measuring and reducing this waste can save resources and cut environmental damage. Research

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Changing Administrations, Shifting Corporate Sustainability Policies: Opportunities for Industrial and Systems Engineers

US climate policy keeps changing with each president, while the EU stays steady. This creates uncertainty but also chances for ISEs to work on risk planning, supply chains, data, and sustainability in business. Dramatic swings

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