Efficiency Of Waste Management Research Articles

Integrated municipal solid waste management using ArcGIS tools: A case of akaki-kality sub-city, addis ababa, ethiopia.

This study aimed to optimize the solid waste collection and transportation system using ArcGIS Network Analyst and location-allocation tools. The generated solid waste was characterized by proximate analysis. The generation rate and composition were determined according to standard methods. The average solid waste generation rates for households, commercial sites, institutions, and recreational places were 0.48kg/c/day, 15.03kg/fac/day, 9.32kg/fac/day, and 22.8kg/fac/day, respectively. The estimated total generation rate of the sub-city is 207,004.03kg/day and 712.13 m3/day as discarded base. Composition analysis revealed that food waste is the major component of municipal solid waste, with estimated weight and volume of 134,696.08kg and 299.46 m3, respectively. Proximate analysis indicated that food and textile wastes have relatively high moisture content and fixed carbon. Candidate pre-collection bin allocations were optimized based on factors such as road network, distribution of solid waste generators, and existing temporary dumping sites, resulting in 1052 potential bin locations. Transfer station allocation was optimized by considering land use-land cover, slope, and geology. Twelve transfer routes and four transport routes were established to efficiently serve the bins and final waste destinations. In conclusion, the study demonstrates that ArcGIS Network Analyst and location-allocation tools can effectively optimize the municipal solid waste collection and transportation system, providing a robust framework for improving waste management efficiency. However, further research is recommended to validate these findings through field application.

Comparative analysis of the effectiveness and efficiency of formal and informal waste collectors in urban waste management system

Effective and efficient waste collection and management is critical to achieving sustainable cities and communities, public health, and sustainable development. This notwithstanding, the rapid and ever-increasing rate of urban waste generation in developing countries has led to the emergence of a dual system of formal and informal waste collection schemes with unclear effectiveness and efficiency. This study compared the operational effectiveness and efficiency of formal and informal waste collectors in the urban waste management system in Ghana. A case study research design is employed with a focus on households and waste collectors in the Suame Municipality in the Ashanti of Ghana. Data were collected through questionnaire administration and interviews, waste quantification, and field measurements. The findings reveal that 61.5 % of households rely on informal waste collectors, 35 % on formal waste collectors and 3.5 % use indiscriminate dumping. The formal waste collectors were more effective serving 111 households and collecting 11.239 tonnes of waste per trip but utilises 62 % of their collection capacity while the informal sector collects 846.67 kg per trip and uses 106 % of their collection capacity. Formal waste collectors were also more efficient with the use of time. The study unveils an opportunity to enhance effectiveness and efficiency in municipal waste management in low- and middle-income countries with reforms and practices that build upon existing waste management practices and integrate informal waste collectors into formal waste management systems.

A Flexible and Sustainable Analysis of Waste Efficiency at the European Level

AbstractThis paper analyses the waste management efficiency of European Union countries using a flexible nonparametric methodology known as directional data envelopment analysis (DEA). The study evaluates performance at the macro (country) level, considering waste generated as input, landfilled and incinerated waste as bad output and recycled waste as output. The analysis incorporates the heterogeneity and specificities of each country, with respect to social and economic sustainability, establishing specific and realistic targets for each country to achieve efficiency. The research introduces a flexible and innovative method for assessing waste management efficiency and provides new empirical evidence on European waste management, considering economic and social sustainability. The results reveal a significant disparity among European countries in both waste generation and waste recycling. Countries are categorised into five groups according to their level of efficiency, and Central European nations are observed to exhibit generally better performance. A pragmatic approach, based on clear collaboration among countries, could optimise the unique waste management characteristics of individual nations to enhance the overall efficiency of the European waste management system, contributing to a circular economy and sustainable development.

Hierarchy and cause–effect relationship of barriers to circular business models in food systems: a Fuzzy-DEMATEL analysis in the Berlin-Brandenburg area in Germany

ABSTRACT Food systems face significant environmental challenges, necessitating a shift towards sustainability and resource efficiency. Implementing circular economy principles and adopting new business models can significantly contribute to more sustainable food systems. These approaches address major issues in the linear economic model, such as excessive food loss and waste, resource depletion, and market volatility. However, due to various barriers, adopting new circular food systems confronts sluggish progress. This study identifies the hierarchical structure and cause-and-effect relationships of these barriers using the example of selected food systems in Berlin-Brandenburg, Germany. Employing the Fuzzy-DEMATEL analysis approach, this research identifies four primary causal barriers and four effect barriers classified across market development, finance, technological availability, knowledge management, as well as institutional domains. Furthermore, the study ranks these barriers based on their significance. It reveals that the top barriers are poor product design and waste management infrastructure, insufficient quantity and quality of material flow, and a lack of collaboration in the supply chain. In addition, weak policies, along with their inadequate evaluation and monitoring, act as the most influential causal barriers. These findings hold significant implications for practitioners and policymakers striving to promote the transition to circular food systems through innovative business models. Practitioners are advised to prioritize collaborations with different stakeholders to ensure proper waste management, by-product valorization, and resource efficiency. Concurrently, policymakers should enact supportive policies and effective governance structures based on the needs of the businesses and its stakeholders.

Driving EU sustainability: Promoting the circular economy through municipal waste efficiency

The need to balance ecosystems and ensure the well-being of all people underlines the urgency of closing product life cycles. In recent years, the circular economy (CE) has emerged as one of the most relevant factors in achieving the Sustainable Development Goals. This paper presents a systematic literature review (SLR) of waste management efficiency at the European level. Furthermore, it presents a standard data envelopment analysis (DEA) of 27 European countries over the period 2017–2021, focused on municipal waste. Three models (i.e., economic, technical, sustainable) are proposed to optimise the rates of municipal waste recycling and circular material use.The SLR, based on an initial set of 216 articles that was subsequently refined through double screening to 31, highlights the strategic role of the waste management, recycling and municipal solid waste triangle. The results of the DEA indicate stronger synergy between technical and sustainability dimensions than between economic and sustainability components. Moreover, they highlight fragmented performance in Europe, with distinct clusters of countries emerging as top performers in each of the three models, and the Netherlands, Slovenia, France, Italy, Germany and Sweden demonstrating superior performance for both CE outcomes and sustainable performance. Overall, the results emphasise the strategic role played by technology in facilitating an efficient circular model of municipal waste management to minimise landfilling and other environmentally detrimental practices, thereby stimulating the development of sustainable communities for optimised waste management, in line with broader sustainability objectives.

Municipal solid waste management using electric vehicle by variable neighbourhood search algorithm

Efficient solid waste management is essential for addressing the multifaceted challenges associated with waste disposal, including environmental, economic, technical, and social aspects. Municipal solid waste management (MSWM) incurs significant costs and contributes to environmental pollution primarily due to the collection process. This research presents a comprehensive case study that focuses on optimising the routing of electric vehicles for solid waste collection. Specifically, it addresses the Half-Open Time-Dependent Multi-Depot Electric Vehicle Routing Problem considering Battery Recharging and Swapping (HOTDMDEVRPBRS) in the context of waste collection. This problem aims to optimise the routes taken by electric vehicles across multiple depots, considering constraints such as limited battery capacity, multiple technologies for recharging battery capacity, the impact of truckload on energy consumption, and time-dependent travel times. To tackle this problem, we propose a highly efficient Variable Neighborhood Search (VNS) meta-heuristic algorithm, which outperforms the Simulated Annealing (SA) approach. The proposed algorithm achieves an average improvement of 11.88% in solution quality and reduces execution time by 73% for last-mile delivery. We evaluate the effectiveness of the proposed approach using real-world data from New York's recycling management system. The findings of this study emphasise the potential for enhancing solution quality and operational efficiency in solid waste management.

SWOT Analysis of Digital Platforms for Improving the Efficiency of Waste Management in the Agro-industrial Complex

The essence of the SWOT analysis is described, 32 metrics were selected to assess digital platforms used for improving the efficiency of waste management in the agro-industrial complex. The sequence of joint application of the SWOT analysis with the Harrington’s desirability function is given. 8 digital platforms including 2 Russian ones were selected as the objects of comparison. It has been proved that joint use of the SWOT analysis and the Harrington’s desirability function in a comprehensive assessment and identification of metrics that determine priority areas of development has good prospects. The key problems and opportunities of digital transformation of the agro-industrial complex are identified. The components of the architecture of digital platforms which allow to increase the efficiency of their implementation are highlighted.

Strategy for developing the utilization of organic waste as an alternative source of electricity in Indonesia

Background: Indonesia has pledged to reach its Net Zero Emission target by 2060, necessitating the shift to renewable energy sources. To achieve this, Indonesia must transition from its current reliance on fossil fuel power plants to renewable energy generators, ensuring the same or greater electricity capacity. One viable renewable energy source is organic waste. This study aims to explore strategies for developing organic waste as an alternative energy source to bolster Indonesia's energy resilience and environmental sustainability. Method: The research employs a qualitative approach, including literature reviews and qualitative descriptive analysis. Result: Waste to Energy (WtE) processes convert waste into electricity and/or heat, aiding in greenhouse gas reduction, improving waste management efficiency, and supporting sustainable development. WtE technologies can utilize both thermochemical and biochemical methods to convert waste into energy. The Indonesian government is known to have 12 projects to accelerate the installation of Waste Processing into Electrical Energy, both the Waste Power Plants that have been in operation and under construction and using gasification as the method. The development of WtE faces various challenges ranging from completeness and consistency of regulations, high tipping fees, complex cooperation mechanisms and business models, problems with the characteristics and nature of Indonesian waste that need special handling, and rejection from residents. Conclusion: Strategies that can be implemented in developing WtE in Indonesia include drafting policies and regulations, increasing public awareness, collaboration with the private sector, choosing the right technology, developing infrastructure, increasing the efficiency of waste collection, and international partnerships. Novelty/Originality of this study: This research offers concrete strategies to develop Waste to Energy (WtE) technology in Indonesia, including policy formulation, increasing public awareness, and collaboration with the private sector to utilize organic waste as a renewable energy source to support the 2060 Net Zero Emission target.

Design and Fabrication of Automated Accumulator for Waste Management

Abstract: In today's society, the escalating issue of improper waste disposal looms large. As population density swells, so does the volume of waste produced, straining landfill capacities, polluting the environment, and posing grave health risks. Traditional waste collection approaches fall short, proving costly, laborious, and inadequate in addressing the mounting problem. This underscores the urgent need for innovative solutions. Enter the automated accumulator: a pioneering system designed to revolutionize waste management by streamlining processes and boosting efficiency. Combining cutting-edge sensor technology, robotics, and data analytics, the automated accumulator redefines waste management efficiency. Through instantaneous waste identification and categorization, it revolutionizes resource distribution, slashes manual labor requirements, and curtails environmental pollution.

Analysis of the Storage of Solid Medical Hazardous and Toxic Waste (B3) in Enhancing the Performance of Type C Hospitals: A Case Study at Universitas Sumatera Utara Hospital

The Universitas Sumatera Utara Hospital’s waste management system, based on Regulation 56 of 2015, has been criticized for unsanitary conditions and lack of proper waste labeling. A study focusing on three locations revealed that the majority of B3 waste originates from infectious properties and sharp objects. The hospital's waste management involves segregating waste based on its characteristics, using appropriate containers, and transporting it to the B3 waste Temporary Storage for storage. The hospital is implementing a multi-stage approach to manage B3 waste, including sorting, containerization, internal transportation, and storage. The waste is segregated and contained within designated containers, transported daily using trolleys or wheeled containers, stored in facilities shielded from direct sunlight, and designed to prevent access by animals, insects, and birds. Regular cleaning is also essential. The hospital aims to improve waste management efficiency by implementing proper waste disposal, packaging, and transportation.

Revitalizing the On-Campus Waste Bank: Promoting Community Environmental Awareness and Improving Waste Management Efficiency

Revitalizing the On-Campus Waste Bank: Promoting Community Environmental Awareness and Improving Waste Management Efficiency

Integration of Waste Management in Textile Industries of India

The foundation of India's economic growth, the textile sector, has experienced unheard-of growth in recent decades, along with a rise in environmental issues brought on by significant waste generation. This comprehensive study sets out to look into and analyze how waste management techniques are incorporated into the rich history of the Indian textile sector. The study offers a thorough review of current waste management techniques, environmental impact evaluations, and creative solutions influencing the path toward sustainability, bridging the gap between qualitative and quantitative analysis. The introduction sets the context by outlining the mutually beneficial relationship between the expansion of the textile industry and its subsequent environmental load. The clothing industry has gained prominence due to the increase in demand for its products, however, a paradigm shift is required due to the waste generated by this industry. The study aims to perform a thorough analysis of waste management processes, conduct a quantitative assessment of the environmental implications, and investigate comprehensive strategies for sustainable waste management. The chapter on qualitative analysis explores the complex aspects of waste management in the textile industries of India. This section explains the nuances of waste generation at different phases of textile production by carefully examining existing methods, case studies, and industry dynamics. A thorough grasp of the qualitative landscape is revealed, encompassing everything from yarn and fabric waste to the difficulties presented by chemical residues and the disposal of end-of-life textiles. The importance of awareness and corporate responsibility in influencing waste management methods is also highlighted in this section. Case studies of top textile producers present creative approaches and offer insights into the possibilities of technological developments, cooperative efforts, and models of the circular economy. Nonetheless, difficulties ranging from technology constraints to cultural obstacles highlight how difficult it is to smoothly integrate sustainable practices throughout the sector. The chapter on integration strategies looks at potential directions that could change the way waste is managed in the textile industry in India. Models of the circular economy take center stage because they provide a comprehensive approach to production and disposal. Case studies from real-world applications highlight the revolutionary potential of upcycling and sophisticated recycling technology, offering insights into how these strategies could lessen the industry's environmental impact. Co-processing in cement kilns is a two-pronged method that solves waste disposal issues and produces useful resources. The potential for improved trash sorting and identification is demonstrated by the combination of artificial intelligence and data analytics, opening the door to increased process efficiency in waste management. The study's conclusion emphasizes that although the study has been helpful, the search for India's sustainable textile waste management is still an ongoing project. The industry is at a turning point in its evolution, and the factors pushing it in that direction will be sustained research and innovation leading the way toward a time when environmental stewardship and economic prosperity coexist together. Every thread woven into the fabric of the Indian textile industry offers a story of sustainability, adaptability, and responsible International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 08 Issue: 07 | July - 2024 SJIF Rating: 8.448 ISSN: 2582-3930 © 2024, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM36458 | Page 2 growth; therefore, the success of this journey will depend on the collective duty of industry stakeholders, policymakers, and consumers. Essentially, the goal of this extensive study is to serve as a compass for the Indian textile sector, offering a path forward to a time when environmental conservation and economic growth coexist peacefully.

Effective elimination of Hg(II) from water bodies with acid-modified magnetic biomass spent coffee grounds: conditional optimization and application.

To maximize the efficiency of biomass waste utilization and waste management, a novel acid-modified magnetic biomass spent coffee grounds (NiFe2O4/SCG) was obtained by pyrolysis at 473K and co-precipitation methods and employed to eliminate bivalent mercury (Hg(II)) in water bodies. The prepared NiFe2O4/SCG adsorbent exhibits remarkable magnetism with a strength of 45.78emu/g and can easily be separated from water via a magnetic force. The adsorption of Hg(II) over the NiFe2O4/SCG has an optimal conditions of pH = 8, T = 39 ℃, and dosage of 0.055 g/L, and the maximal adsorption capacity for Hg(II) is 167.44 mg/g via Response Surface Methodology optimization. The removal of Hg(II) over NiFe2O4/SCG primarily involves ion exchange, electrostatic attraction, and chelation; conforms to the pseudo-second-order kinetic and Langmuir models; and is an endothermic reaction. Additionally, the magnetic biomass NiFe2O4/SCG has good regeneration capability and stability. The application research reveal that inorganic salt ions, nitrogen fertilizer urea, humus, and other contaminants in different actual water bodies (river water, lake water, and the effluent of sewage treatment plant) have little effect on the adsorption of Hg(II) over the NiFe2O4/SCG. The prepared adsorbent NiFe2O4/SCG has practical application value for removing Hg(II) from water bodies.

IMPLEMENTASI SISTEM INFORMASI GEOGRAFIS PEMETAAN LOKASI PEMBUANGAN SAMPAH LEGAL BERBASIS WEBSITE DI KOTA BANDAR LAMPUNG

Waste disposal that is not well managed in Bandar Lampung City caused problems with a negative impact on the environment and public health. Lack of related information legal dump sites make things difficult for cleaning crews, leading to dumping carelessness and increasing the risk of health problems. Official local government websites were not yet optimal in providing information, giving rise to the need for more effective solutions. This research aims to implement a Geographic Information System (GIS) for mapping legal waste disposal locations in Bandar Lampung City via its website. The research focused only on legal waste and mapping its location. The data used comes from environmental services and other supporting sources. The results are expected to make things easier for cleaning officers to access information, increase the effectiveness of waste management, assist government decision-making, increase the efficiency of waste management, environmental cleanliness and transparency. With more complete and accurate information, it is hoped that waste management will become more planned and coordinated and provide a platform for data and information related to legal waste disposal locations. Furthermore, community empowerment can be carried out for more sustainable research results in location mapping and integration with others system to improve overall waste management more efficient.

AI as a Driver of Efficiency in Waste Management and Resource Recovery

AI as a Driver of Efficiency in Waste Management and Resource Recovery

Analysis of Hazardous and Toxic (B3) Management at the Puskesmas Sirnajaya

Management of Hazardous and Toxic Waste (B3) is a critical aspect in maintaining environmental health and safety, especially in health service facilities such as Community Health Centers. This research aims to analyze the B3 waste management system at the Puskesmas Sirnajaya, in order to identify the weaknesses and strengths of existing procedures and provide recommendations for improvements that can be implemented to increase the efficiency and safety of waste management. The research method used is a qualitative descriptive method with a case study approach. Data was obtained through direct observation, in-depth interviews with health workers and waste managers, as well as analysis of documents related to B3 waste management policies and procedures at the Puskesmas Sirnajaya. Data analysis was carried out thematically to identify patterns and main issues in B3 waste management. The research results show that the Puskesmas Sirnajaya, has B3 waste management procedures which include the stages of collection, temporary storage, transportation and handover to licensed third parties. However, there are several significant weaknesses, including a lack of routine training for officers, limited storage facilities that meet standards, and a lack of regular supervision and monitoring. Some of the advantages found were officers' awareness of the importance of B3 waste management and collaboration with third parties who have official certification.

Identification of Slovak Tourists’ Attitudes Towards Digitalization for Circular Economy and Waste Management

Abstract The research paper explores the perspectives of a chosen group of Slovak tourists on how digitization drives circular economy practices and promotes efficient waste management in tourism. The study involves data from 103 participants, who expressed their opinions on sustainability concepts like digitization, innovation, circular economy, and waste management in tourism, using a 5-point Likert scale. The research’s main objective is to understand sentiments and attitudes towards integrating digitization and innovation for sustainable practices in the tourism sector. The findings reveal differences in attitudes among respondents. Visual aids like box plots are utilized to help interpret the results and emphasize how factors like interest in new technologies impact respondents’ attitudes. Implementing digital technologies in tourism plays a key role in creating efficient waste management systems and reducing the environmental burden. Data tracking and processing systems enable detailed analysis of waste generation patterns, providing valuable information to optimize collection and recycling processes. Digital technologies contribute to the overall reduction of the impact of tourism on the environment through electronic reservations, intelligent transport systems and other innovative solutions. These initiatives increase waste management efficiency and minimise tourism’s negative ecological impact, contributing to more sustainable and ecologically responsible tourism.

Intelligent Trash Level Detection for Sustainable Urban Waste Management

Abstract This paper introduces an advanced trash bin fill ratio detection system, addressing the challenges of municipal solid waste management. Utilising the ESP32 CAM module, the system captures and transmits bin images via the ESP MESH protocol, enhancing waste management efficiency. The hardware relies on sustainable energy sources, including a photovoltaic cell and LiPo battery, ensuring continuous operation. On the software front, a client-server architecture is employed. The client-side captures images, while the server-side processes these images using a Python script and SQL database to determine bin fill levels. This innovative approach offers a scalable, cost-effective solution for improving urban waste collection and management.

IOT Garbage Monitoring System with Weight Sensing

This paper presents a novel approach towards efficient waste management utilizing Internet of Things (IoT) technology. The proposed system integrates garbage monitoring and weight sensing capabilities to create a smart waste management solution. Traditional waste collection methods are often inefficient and lack real-time monitoring, leading to overflows, environmental hazards, and unnecessary resource allocation. By employing IoT sensors embedded within garbage bins, real-time data on fill-level and weight can be collected and transmitted to a central server. AI calculations are applied to break down the information and predict future fill levels, optimizing waste collection schedules and routes. The system also includes a command-line interface available through web or mobile applications, enabling users to request timely pickups or report issues. Furthermore, the weight sensing functionality provides insights into the type and volume of waste being generated, facilitating better waste categorization and recycling initiatives. Field tests conducted in urban environments demonstrate the adequacy of the proposed system, reducing operational costs, minimizing environmental impact, and enhancing overall waste management efficiency. The coordination of IoT innovation with garbage monitoring and weight sensing represents a significant advancement towards sustainable and smarter cities

Autonomous Trash Tracking System

Our revolutionary waste management project introduces a comprehensive solution leveraging cutting-edge technology to transform traditional waste disposal systems. By integrating a smart mobile application and sensor-equipped trash cans, our initiative aims to streamline the waste disposal process, addressing challenges such as timing issues, accessibility concerns, and data management inefficiencies. The mobile app empowers users with real-time information on bin availability, optimal disposal times, and recycling practices, fostering a sense of responsibility and environmental sustainability among communities. Sensor-equipped trash cans strategically placed in public spaces communicate with the mobile app and municipal waste management systems via the Internet of Things (IoT), providing accurate, up-to-date data on bin statuses. This data-driven approach allows for dynamic optimization of waste collection routes, minimizing operational costs and environmental impact. Furthermore, municipalities can utilize real-time data insights to allocate resources efficiently, schedule maintenance based on usage patterns, and implement targeted educational campaigns. Overall, our technology-driven solution not only enhances efficiency in waste management but also contributes to reducing environmental pollution and promoting sustainable waste disposal practices. Keywords—Smart dustbins, proximity sensors, moisture sensors, App development, software and hardware integration