A decision aided system for sustainable waste management

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Nowadays, sustainable development has increasingly drawing public attention due to environmental, economic and social reasons. To pursue a more competitive and sustainable society needs greater concentration on waste management. However, waste management is a worldwide challenge, because several interactive influencing factors, i.e., costs, risks, equity, etc., and the characteristics of different regions have to be simultaneously taken into consideration. The optimal solution for one influencing factor is usually not a good choice for another. Therefore, it is highly preferred to develop a sophisticated system analysing tool for managing those interactive influencing factors as well as the characteristics of different waste management systems in an efficient and sustainable manner. In this paper, a decision aided system based upon multi-objective programming is proposed for addressing the optimal trade-off among costs, risks and sustainability of waste management system from long-term perspective. A theoretical framework of sustainable waste management is first established, and the mathematical model as well as the computation method is then formulated accordingly. To present the application of this model, an illustrative calculation is performed as well, and the model computation in this paper is done by using programming language in a professional optimization software Lingo 13.0.

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Municipal waste management is a major challenge for local governments in South Africa and Namibia, as in other developing countries. The circular economy concept in waste management is an alternative sustainable development framework that has the potential to combat resource depletion, pollution, and poverty while achieving the SDGs. The purpose of this study was to investigate the current waste management systems in Langebaan and Swakopmund municipalities resulting from municipal policies, procedures, and practices in the context of a circular economy. A mixed method approach was used to collect qualitative and quantitative data through structured in-depth interviews, document analyses, and direct observation. The study found that the Langebaan and Swakopmund municipalities have not yet fully implemented the circular economy concept into their waste management systems. A mix of waste consisting of papers, plastics, cans, tyres, and organic products is dumped into landfills weekly at a rate of about 85%. The main challenges to implementing the circular economy concept include: lack of technical solutions, inadequate regulatory frameworks, insufficient financial resources, lack of private sector involvement, insufficient human resource capacity, and inadequate information and knowledge. A conceptual framework was therefore proposed to guide the municipalities of Langebaan and Swakopmund in implementing the circular economy concept in their waste management systems.

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Hazardous waste location-routing problems are of importance due to the potential risk for nearby residents and the environment. In this paper, an improved mathematical formulation is developed based upon a multi-objective mixed integer programming approach. The model aims at assisting decision makers in selecting locations for different facilities including treatment plants, recycling plants and disposal sites, providing appropriate technologies for hazardous waste treatment, and routing transportation. In the model, two critical factors are taken into account: system operating costs and risk imposed on local residents, and a compensation factor is introduced to the risk objective function in order to account for the fact that the risk level imposed by one type of hazardous waste or treatment technology may significantly vary from that of other types. Besides, the policy instruments for promoting waste recycling are considered, and their influence on the costs and risk of hazardous waste management is also discussed. The model is coded and calculated in Lingo optimization solver, and the augmented ε-constraint method is employed to generate the Pareto optimal curve of the multi-objective optimization problem. The trade-off between different objectives is illustrated in the numerical experiment.

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Increasing waste generation under inefficient management systems has become a major challenge in many developing countries facing rapid economic growth. Thailand is suffering from low efficiency throughout the waste management logistics from source to final treatment. This has become a major concern to public health and resource utilization in the country. This book aims to give an overview of the waste management system situation and concepts in different countries. The book focuses on the management of municipal solid waste (MSW) in Thailand and special waste streams such as discarded electrical and electronic equipment and hazardous household waste. System operation, management approaches, and key factors impacting the progress of waste management are explained. The first chapter starts with a brief introduction of the outlook and scope of the waste sector. An integrated sustainable waste management framework is presented, followed by a discussion of challenges and opportunities facing the sector in the future. The second chapter covers waste generation rates, waste sources, and waste characteristics. The third to eighth chapters present how municipal waste, electronic waste, hazardous household waste, and infectious waste are managed in Thailand. Lessons learned from various activities within Thailand aimed at overcoming ongoing challenges are presented. Recommendations promoting a sustainable waste management system in Thailand that could be applied to other countries with a similar background are presented including integration of the polluter pay concept, stringent new laws, good incentive systems for recycle and reuse, waste to energy technology, incorporation in environmental education, and awareness raising in every sector.

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Sustainable waste management was introduced more than ten years ago, but it has not yet been applied to the Thai petrochemical industry. Therefore, under the philosophy of sustainable waste management, this research aims to apply the reduce, reuse, and recycle (3R) concept at the petrochemical factory level to achieve a more sustainable industrial solid waste management system. Three olefin plants in Thailand were surveyed for the case study. The sources and types of waste and existing waste management options were identified. The results indicate that there are four sources of waste generation: (1) production, (2) maintenance, (3) waste treatment, and (4) waste packaging, which correspond to 45.18%, 36.71%, 9.73%, and 8.37% of the waste generated, respectively. From the survey, 59 different types of industrial wastes were generated from the different factory activities. The proposed 3R options could reduce the amount of landfill waste to 79.01% of the amount produced during the survey period; this reduction would occur over a period of 2 years and would result in reduced disposal costs and reduced consumption of natural resources. This study could be used as an example of an improved waste management system in the petrochemical industry.

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