Automated home waste segregation and management system

Waste management is a massive issue in India, most of the present systems cannot manage waste on a scalable level, thus creating pressure on the ecosystem. Before the elimination of waste, segregation needs to be done to manage individual types of waste. Hence taken the same approach to solving the problem, which most of the present-day systems fail to do. The goal is to segregate the garbage generated in individual households into solid, liquid, biodegradable, non-biodegradable, combustible, and non-combustible, using many subsystems that involve electro pneumatics, compression, and storage. Image processing techniques will further advocate the process. The desired system will further reduce the waste of an in-built pulverizer. After conducting in-depth research on the present solutions for the urban waste processing chain, the level of complexity increases as the waste goes further along the chain and, in the end, the only option left is incineration was figured out. The solution allows endpoints of the chain to process different types of garbage in a more organized fashion. Municipal solid waste (MSW) is solid waste that results from municipal community, commercial, institutional, and recreational activities. This paper aims to segregate the MSW generated by households into biodegradable, non-biodegradable, combustible, and non-combustible

Supply Chain Risk Management: Sustainable Waste Management Strategy, Empirical Study at KUPAS Panggungharjo Village

KUPAS Panggungharjo Village is a business unit that manages waste so that it can be reused. Based on the results of field studies, there are several risks that hinder the flow of Supply Chain in KUPAS and also previously in KUPAS itself, risko studies have never been carried out. Therefore, it is necessary to map Supply Chain performance activities and identify risks that exist in supply chain flows in KUPAS. This study aims to identify what risks exist in the Supply Chain flow in KUPAS by using the Supply Chain Operation Refence (SCOR) method to determine the mapping of Supply Chain flows then using the House of Risk method to identify the risks that exist in the Supply Chain flow the one in KUPAS. Data collection techniques use interviews and observations. Interviews were conducted with informants who had been selected from purposive sampling techniques, namely to kupas employees and customers. Based on the results of the study, it is known that the Supply Chain performance is good, it can be seen from the total value of supply chain performance in KUPAS, which is 67.27. Meanwhile, the results of risk identification using the HOR method there are 4 sources of risk in KUPAS

Risk analysis approach to identifying actions that reduce waste for a Lean agricultural supply chain

Purpose: In this study, we examine the food loss food waste (FLFW) risks in agricultural supply chain through combination the risk analysis approach and lean principles. Methodology: The methodology of this study includes the actor analysis, risk analysis approach, and lean principles. The actor analysis is conducted to identify the actor’s needs, problems, and characters. The risk analysis approach was combined with lean supply chain principles to identify risk points for FLFW in the agricultural supply chain for cayenne pepper in Indonesia. A risk–lean relationship matrix was developed to identify waste reduction efforts. Findings: In this study, the lean-risk matrix was created to discover the similarities and differences in waste reduction efforts in agricultural products compared with traditional manufacturing products, which can also apply to agricultural products in this case study. Research limitations/implications: This study focuses on combining the risk analysis and lean principles to determine the FLFW risk on the agricultural supply chain and find possible solutions to mitigate those risks. The case study for this research is the cayenne pepper supply chain. Originality/value: Lean principles in the FLFW problem are rarely found in studies. Lean principles are an approach that can be used to obtain solutions to reduce wastePeer Reviewe

MULTI-OBJECTIVE OPTIMIZATION MODELING OF INTEGRATED SUPPLY CHAIN FOR SOLID WASTE TREATMENT

Solid waste management (SWM) has been proven as a vital research area, as it contributes in providing a basic and renewal source of production resources like recycled raw materials, fuel and energy sources. Hence, this research investigates the SWM problem by simultaneous consideration of key environmental and economic factors. In this regard, a multi-objective mathematical model is presented for an integrated solid waste supply chain to minimize total costs and environmental impacts while maximizing the recovered energy. The designed supply chain is being modeled as a weighted goal programming (WGP) model to achieve the desired objectives, and this model is solved by applying a simplex-based solution algorithm. In addition, the model and the solution algorithm are validated through the application on real case study data. The comparisons’ results show that the integrated supply chain’s model attains reasonably outperforming results in terms of minimizing the average total cost and environmental impacts

Assessing waste management efficiency in the European Union: A focus on the Slovak Republic

Even though every country in the EU must follow the waste management hierarchy stipulated in Directive (EU) 2018/851 of the European Parliament and of the Council of 30 May 2018 amending Directive 2008/98/EC on waste, there are differences in how the member states manage their municipal waste. For example, the percentage of recyclable and incineration with energy recovery of municipal waste is among the lowest in the Slovak Republic (and the high amount of its disposal by landfilling). However, following the European Union legislation, several strategies in the Slovak Republic, such as the Waste Prevention Program 2019-2025, Waste Management Program 2021-2025, and Envirostrategy 2030, have been adopted. Based on these strategies, the recycling rate is scheduled to increase to 65% by 2035, and the percentage of municipal waste sent to landfills is planned to fall below 25%. These projections assume the successful implementation of the programs. As a result, the Slovak Republic’s waste is significantly lower than that of other member states. When investigating the efficiency of municipal waste management, we utilised partial treatment-specific indicators and a composite indicator based on an approach known as the multi-criteria decision-making method. The highest efficiency of municipal waste management in the EU-27 in 2021, expressed by the composite indicator, was achieved by Germany (0.630), and the lowest performance by Malta (0.188). For the evaluated period of 2017–2021, municipal waste management efficiency improved the most in Malta (+28.4%) and deteriorated the most in Denmark (-20.8%). The broader implications of our research have shown significant differences in partial treatment-specific indicators across the EU-27

Lightweight alkali-activated materials and ordinary Portland cement composites using recycled polyvinyl chloride and waste glass aggregates to fully replace natural sand

Data availability: Data will be made available on request.Copyright © 2023 The Authors. Polyvinyl chloride plastic (PVC) and glass waste have proven to be significant environmental concerns considering their restricted reuse and complicated recycling procedures. Glass and PVC waste materials form a substantial portion of total solid wastes that negatively influence the environment. This study aims to fully replace natural sand with recycled PVC and waste glass aggregates in alkali-activated materials (AAMs). A comprehensive testing programme was employed to investigate the effect of 100 % aggregate replacement on the composites’ mechanical performance, water absorption, impact resistance, thermal conductivity, resistance to harsh environments, and microstructural changes. Results revealed that AAMs containing recycled PVC and glass aggregates outperformed their ordinary Portland cement (OPC)-based composite counterparts in terms of mechanical properties, energy absorption, thermal conductivity, and carbon footprint estimation. Although mixtures containing recycled aggregates cannot be deemed for load-bearing applications, these composites exhibited a promising capacity to be used in insulating applications. AAMs containing 100 vol-% PVC aggregates with flexural and compressive strengths of 9 and 11 MPa, respectively, registered the highest energy absorption of about 6 J, three times higher than the AAM control sample, and the lowest thermal conductivity of about 0.5 W/mK, with about 80 % reduction of thermal conductivity compared to the AAM control sample. With the full replacement of PVC and glass aggregates, the most significant decrease in the carbon footprint is achieved for AAM (−352.25 kg CO2-eq) and OPC (−353.94 kg CO2-eq), respectively.DigiMat project, which has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement ID: 101029471

Control de registros estandarizados y rendimiento integral de residuos sólidos en la Provincia de Ica 2022

La presente Tesis denominado Control de registros estandarizados y rendimiento integral de residuos sólidos en la Provincia de Ica 2022. Objetivo, mejorar el recojo de la basura evitando su propagación de focos infecciosos capaces de alterar el medio ambiente por contaminación. La presente Tesis, es del tipo básica, de enfoque cuantitativo y de nivel correlacional siendo de diseño no experimental, su población de estudio conformada por 1000 viviendas y una muestra de estudio de acuerdo a los datos del universo finito evaluando a 91 familias, mediante la técnica de la encuesta, y de una instrumentación de evaluación a la población de tipo cuestionario. En el método de análisis se determinó la evaluación, mediante el programa estadístico SPSS 25, relacionando las variables y comparando las estadísticas descriptivas e inferenciales. La validación del cuestionario de 45 preguntas por variables, aprobado por 03 profesionales colegiados. Los resultados estadísticos de las pruebas descriptivas e inferencial, fiabilidad indican el valor de 0.809, normalidad y correlaciones realizado por la prueba Rho de Spearman que obtuvo un valor de 0.272 y la significancia de (p=0.00) < 0.05

Optimizing Integrated Municipal Solid Waste Management System under Multiple Uncertainties

To define a holistic and systematic approach to municipal waste management, an integrated municipal solid waste management (IMSWM) system is proposed. This system includes functional elements of waste generation, source handling, and processing, waste collection, waste processing at facilities, transfer, and disposal. Multi-objective optimization algorithms are used to develop an optimum IMSWM that can satisfy all main pillars of sustainable development, aiming to minimize the total cost of the system (economic), and minimize the total greenhouse gas emissions (environmental), while maximizing the total social suitability of the system (social). For the social objective, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used to identify the main parameters that affect the social suitability of the system. This research focuses on developing an optimized holistic model that considers all four main components of a modern IMSWM namely transfer, recycling, treatment, and disposal. The model is formulated as a mixed-integer linear programming (MILP) problem and solved using the epsilon constraint handling method. A metaheuristic method is developed using non dominated sorting genetic algorithm (NSGA) to deal with larger problems. A solution repair function is developed to handle several equality constraints included in the proposed IMSWM model. Sensitivity analyses are conducted to identify the effect of changes in parameters on the objective functions. Based on the results, the proposed metaheuristic algorithm based on NSGA-II performed better than other algorithms. The interval-parameter programming (IPP) methods are used to consider various uncertainties that exist in the system. The model is applied to the case study of the Australian capital territory (ACT). The data is gathered from several resources including Australian national waste reports, and ACT government transport Canberra and city services (TCCS). Based on the waste characteristic and city map several feasible scenarios are recommended. Several non-dominated solutions are identified for the model that the decision-maker can choose the most desirable solution based on the preferences. Based on the importance of any objective function at any time the decision-maker can choose a solution to suit the needs