A service network design model for multimodal municipal solid waste transport

Inghels, Dirk; Dullaert, Wout; Vigo, Daniele

doi:10.1016/j.ejor.2016.03.036

Cited by 47 publications

(23 citation statements)

References 33 publications

(44 reference statements)

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“…As it is unclear whether PDK waste supply chains would require longer/shorter distance transport depending on levels of sorting (e.g., a further secondary sorting may increase the total distance traveled), we also use a 20% variation in distance for sensitivity analysis. We should note that, usually at a longer distance, multimodal transport involving a combination of truck, train, or ocean transport may be more favorable and would likely reduce overall emissions ( 27 ). For the sake of simplicity, we limited the analysis to truck transport and used conservative estimates for emissions.…”

Section: Resultsmentioning

confidence: 99%

Leveling the cost and carbon footprint of circular polymers that are chemically recycled to monomer

et al. 2021

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Mechanical recycling of polymers downgrades them such that they are unusable after a few cycles. Alternatively, chemical recycling to monomer offers a means to recover the embodied chemical feedstocks for remanufacturing. However, only a limited number of commodity polymers may be chemically recycled, and the processes remain resource intensive. We use systems analysis to quantify the costs and life-cycle carbon footprints of virgin and chemically recycled polydiketoenamines (PDKs), next-generation polymers that depolymerize under ambient conditions in strong acid. The cost of producing virgin PDK resin using unoptimized processes is ~30-fold higher than recycling them, and the cost of recycled PDK resin ($1.5 kg−1) is on par with PET and HDPE, and below that of polyurethanes. Virgin resin production is carbon intensive (86 kg CO2e kg−1), while chemical recycling emits only 2 kg CO2e kg−1. This cost and emissions disparity provides a strong incentive to recover and recycle future polymer waste.

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Section: Resultsmentioning

confidence: 99%

Leveling the cost and carbon footprint of circular polymers that are chemically recycled to monomer

et al. 2021

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“…Inghels et al [13] presented a multipurpose transportation model for designing a municipal solid waste transportation service network. In their research, they studied the possibility of using multipurpose trucks and inland water transport instead of using transport trucks to send bulk household waste from collection centers to waste processing facilities.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization Model for Integrated Municipal Solid Waste System Using Stochastic Chance-Constraint Programming under Uncertainty: A Case Study in Qazvin, Iran

Zaeimi

Rassafi

2021

Journal of Advanced Transportation

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Municipal solid waste management (MSW) is a factor that affects environmental pollution and the spread of diseases in cities. Therefore, an efficient MSW management system results in reducing the cost of environmental impact by tackling the processes of waste collection, recycling, and disposal. In this study, a biobjective optimization model is developed which aims to minimize the costs of facility location and transportation planning and the emission of environmental pollutants. Furthermore, to consider the uncertain nature of the problem, demand or the volume of the generated waste is considered as a random parameter. As a result, a stochastic mathematical programming model with probable constraints is developed. To solve and validate the model, the ε-constraint approach has been employed. Moreover, for a real-world application of the proposed model, a case study is implemented in Qazvin, Iran. Finally, various problems are solved for different levels of reliability and an efficient MSW system is designed for each of them. Results show that the proposed method was able to achieve Pareto solutions where managers can decide to choose one of them based on their priorities in comparison with the current status. Moreover, results revealed cost and emission would be reduced by increasing confidence level. Finally, a comparison is made between our proposed ε-constraint method and one of the recently used solution approaches.

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“…Just recently more attention is being given to MSWM planning problems looking beyond economic feasibility to add the sustainability perspective. A network design study by Inghels et al [20] evaluates the financial viability of using multimodal transportation to reduce the carbon emissions and social impact of MSWM. Their model evaluates the societal cost burden associated with different transportation modes, measured as the sum of disturbance effects on nearby residents.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization Model for Sustainable Waste Management Network Design

Olapiriyakul

Pannakkong

Kachapanya

et al. 2019

Journal of Advanced Transportation

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Inefficient or poorly planned waste management systems are a burden to society and economy. For example, excessively long waste transportation routes can have a negative impact on a large share of the population. This is exacerbated by the rapid urbanization happening worldwide and in developing countries. Sustainability issues should be accounted for at every stage of decision making, from strategic to daily operations. In this paper, we propose a multiobjective optimization model to design a cost-effective waste management supply chain, while considering sustainability issues such as land-use and public health impacts. The model is applied to a case study in Pathum Thani (Thailand) to provide managerial insights.

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A service network design model for multimodal municipal solid waste transport

Cited by 47 publications

References 33 publications

Leveling the cost and carbon footprint of circular polymers that are chemically recycled to monomer

Leveling the cost and carbon footprint of circular polymers that are chemically recycled to monomer

Optimization Model for Integrated Municipal Solid Waste System Using Stochastic Chance-Constraint Programming under Uncertainty: A Case Study in Qazvin, Iran

Multiobjective Optimization Model for Sustainable Waste Management Network Design

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