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61,005 resultsShowing papers similar to Optimization of solid waste collection using RSM approach, and strategies delivering sustainable development goals (SDG’s) in Jeddah, Saudi Arabia
ClearMoving from Linear to Circular Economy in Saudi Arabia: Life-Cycle Assessment on Plastic Waste Management
Researchers conducted a life-cycle assessment comparing five different plastic waste management approaches in Saudi Arabia, from landfilling to recycling and incineration. They found that mechanical recycling combined with energy recovery had the lowest overall environmental impact, while landfilling, the country's current dominant practice, performed the worst. The study provides a data-driven roadmap for Saudi Arabia's transition from a linear to circular economy for plastic waste management.
Source separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review
Researchers reviewed the full chain of municipal solid waste management — from source separation through collection, pretreatment, and valorization — finding that AI and the Internet of Things are emerging as powerful tools for optimizing collection routing and sorting efficiency within circular waste management systems.
Reduction of cost and emissions by using recycling and waste management system
An optimization model for integrated waste management systems was developed with dual objectives of minimizing cost and greenhouse gas emissions, demonstrating that simultaneous economic and environmental goals can be achieved through system-level design. The model provides a tool for sustainable waste management planning.
Quantity and types of plastic waste in Beaches: A case study of Al-Shuaybah beach, Saudi Arabia
Researchers surveyed plastic waste at Al-Shuaybah beach in Saudi Arabia, cataloging 1,504 plastic items dominated by unidentified fragments, water bottles, and bottle caps, providing baseline data for marine litter management policies in the region.
Municipal solid waste management challenges in developing regions: A comprehensive review and future perspectives for Asia and Africa
Researchers reviewed a decade of municipal solid waste challenges in developing countries across Asia and Africa, finding that inadequate infrastructure, cultural barriers, and poor policy enforcement are driving waste crises. The study recommends source-level sorting, improved landfill practices, and stronger community involvement rather than focusing solely on recycling.
Medical waste management during coronavirus disease 2019 pandemic at the city level
Researchers developed an integrated medical waste management model incorporating uncertain waste generation estimates and pickup routing optimization for COVID-19-related infectious waste at the city level, applying optimistic, realistic, and pessimistic scenarios to guide waste treatment center placement and route planning in Turkey.
A Systematic Review of Solid Waste Management (SWM) and Artificial Intelligence approach
This systematic review found that artificial intelligence and machine learning are increasingly being applied to solid waste management for tasks like waste classification, collection route optimization, and landfill monitoring. AI-based approaches showed significant improvements over traditional methods in sorting accuracy and operational efficiency.
A hybrid machine learning-mathematical programming optimization approach for municipal solid waste management during the pandemic
Researchers combined machine learning forecasting with mathematical supply-chain optimization to model municipal solid waste management in New York City under COVID-19 conditions, revealing trade-offs between economic efficiency and landfill diversion that could inform planning for future pandemic scenarios.
COVID19-Plastic Waste Management Towards Sustainable Circular Economy: Focus on Qatar & Kingdom of Saudi Arabia
This study examines plastic waste management in Qatar and Saudi Arabia following the COVID-19 pandemic, finding that 82% of coastal plastic waste enters the Persian Gulf with Saudi Arabia contributing the highest marine microplastic load (up to 235,000 tons). Both countries recycle less than 15% of plastic waste, and polypropylene from PPE is the dominant post-pandemic polymer. The authors call for circular economy approaches including improved recycling and waste management infrastructure.
Artificial Intelligence-Driven Optimization and Decision Support for Integrated Waste-to-Energy Systems in Climate-Vulnerable Megacities: A Case Study of Dhaka, Bangladesh
This study explored how artificial intelligence could optimize waste-to-energy systems in Dhaka, Bangladesh, a rapidly growing city facing severe waste management and energy challenges. Researchers evaluated AI-driven approaches for improving waste sorting, conversion efficiency, and energy output from municipal solid waste. The findings suggest that integrating AI into waste management infrastructure could help climate-vulnerable cities reduce landfill dependence and associated plastic pollution while generating cleaner energy.
Artificial intelligence for waste management in smart cities: a review
Researchers reviewed how artificial intelligence (AI) is being applied to nearly every aspect of waste management, from sorting recyclables with up to 99.95% accuracy to cutting transportation costs by over 36%. Their findings show AI could dramatically improve how cities handle plastic and other waste, reducing pollution and public health burdens.
Determining Optimal Municipal Solid Waste Management Scenario Based on Best-worst Method
This study proposed a decision-making framework to help cities evaluate and select the best approach for managing municipal solid waste. Using a mathematical ranking method, the researchers assessed multiple waste management scenarios to identify optimal strategies for urban planners.
First evidence of microplastics occurrence in mixed surface and treated wastewater from two major Saudi Arabian cities and assessment of their ecological risk
Microplastics were detected in surface and treated wastewater channels in two major Saudi Arabian cities, with fragment and fiber types dominating and concentrations reflecting urban population density and plastic waste management practices.
An Empirical Investigation on Plastic Waste Issues and Plastic Disposal Strategies to Protect the Environment: A UAE Perspective
An empirical investigation into plastic waste management in a developing country context found that rising volumes of plastic water bottles and single-use items are overwhelming municipal waste systems. The study documents disposal strategies used in practice and identifies infrastructure and policy gaps limiting effective plastic waste management.
Domestic Solid Waste Management- A Public Health Case Report and Review of Municipal Challenges in India!
Researchers surveyed households and waste handlers across 35 municipal wards in Gadag City, India, to assess solid waste management challenges. The study found significant gaps in waste disposal practices, infrastructure, and public awareness, with waste production projected to double in the coming decade.
Characterization of Microplastic Pollution Along the Red Sea Coast of Jeddah, Saudi Arabia
Researchers conducted a detailed physical, chemical, and morphological analysis of microplastics collected from the Red Sea coast near Jeddah, Saudi Arabia, using a suite of advanced techniques including electron microscopy, Raman spectroscopy, and atomic force microscopy. They found that particles were predominantly weathered polyethylene terephthalate (PET), showing signs of significant degradation from sun, salt, and wave exposure. The study identifies urban runoff, coastal activities, and industrial discharge as likely sources, providing the first detailed characterization of microplastics in this unique marine environment.
A Multi-Objective Optimization Model for Multi-Facility Decisions of Infectious Waste Transshipment and Disposal
Researchers developed a multi-objective optimization model for infectious waste disposal balancing economic, social, and environmental concerns using consolidation facilities.
AI Techniques Aid for Optimizing the Collection System of Industrial Plastic Waste
This study applied artificial intelligence techniques to optimize collection routes and predict demand for industrial plastic waste pickup. AI methods outperformed traditional statistical approaches in accuracy and route efficiency. Smarter collection systems could significantly reduce costs and improve recovery rates for industrial plastic waste.
Machine learning approach for automated beach waste prediction and management system: A case study of Mumbai
Researchers developed a machine learning system to predict beach waste generation patterns in Mumbai, aiming to enable more effective and automated waste management for one of the world's most polluted coastal cities.
Urban Solid Waste Management: Evaluation of Practices and Contributions to Sustainable Development
This study evaluated solid waste management practices in a Brazilian municipality, assessing collection efficiency, recycling rates, and landfill operations against sustainability goals. It identified key institutional and infrastructural barriers preventing progress toward sustainable waste management.
Tackling Water and Waste Management Challenges Within the Tourism and Hospitality Industry: A Sustainable Development Goals Perspective
This paper reviewed water and waste management challenges specific to tourism and hospitality industries, examining how hotels, resorts, and tourism infrastructure generate and mismanage water and solid waste. It proposed strategies for sustainable waste management within these high-impact sectors.
A Study on Waste Disposal Management in Textile Industry: A Case Study of Gul Ahmed
Researchers examined waste disposal management practices in the textile industry using Gul Ahmed as a case study, investigating how waste disposal methods, green supply chain practices, and waste reduction strategies relate to company productivity through a mixed-methods correlational design combining questionnaire surveys and in-depth interviews. The study aimed to quantify the relationships between environmental management variables and operational performance in textile manufacturing.
Assessment of Knowledge, Practice and Attitude about Biomedical Waste Management among Healthcare Professionals during COVID-19 Crises in Al-Ahsa
Researchers surveyed knowledge, practices, and attitudes toward biomedical waste management among healthcare professionals in Al-Ahsa, Saudi Arabia during the COVID-19 pandemic, finding moderate knowledge levels but gaps in safe disposal practices that increased during the crisis.
Quantifying the impact of volunteerism in the framework of waste management strategies in Cyprus
Researchers quantified the impact of volunteerism on waste management strategies in Cyprus, examining volunteer contributions within the framework of United Nations Sustainable Development Goals and global projections for increasing waste generation.