Maximal covering location problem of smart recycling infrastructure for recyclable waste in an uncertain environment

Zhen, Wang; Duan, Yongrui; Huo, Jiazhen

doi:10.1177/0734242x20967090

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…Crucial in the selected papers is that human behaviour is involved in the application and that the work relates to one (or multiple) critical infrastructure types. For example, Wang et al discuss environmental waste, but the focus is on incentivising humans to act [34]. Regarding SQ5, in some cases, articles required an institutional licence or subscription fee.…”

Section: Search Strategymentioning

confidence: 99%

Critical Infrastructures: Reliability, Resilience and Wastage

et al. 2022

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By 2050, according to the UN medium forecast, 68.6% of the world’s population will live in cities. This growth will place a strain on critical infrastructure distribution networks, which already operate in a state that is complex and intertwined within society. In order to create a sustainable society, there needs to be a change in both societal behaviours (for example, reducing water, energy or food waste activities) and future use of smart technologies. The main challenges are that there is a limited aggregated understanding of current waste behaviours within critical infrastructure ecosystems, and a lack of technological solutions to address this. Therefore, this article reflects on theoretical and applied works concerning waste behaviours, the reliability/availability and resilience of critical infrastructures, and the use of advanced technologies for reducing waste. Articles in the Scopus digital library are considered in the investigation, with 51 papers selected by means of a systematic literature review, from which 38 strains, 86 barriers and 87 needs are identified, along with 60 methods of analysis. The focus of the work is primarily on behaviours, barriers and needs that create an excess or wastage.

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Section: Search Strategymentioning

confidence: 99%

Critical Infrastructures: Reliability, Resilience and Wastage

et al. 2022

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“…Rosni et al (2022) implemented their research in the locality of Seremban. Meanwhile, Wang et al (2021) employed an extended version of the MCLP to allocate recycling infrastructure in an uncertain environment. The aim was to ensure that a limited number of recycling infrastructure could cover a maximum number of demands.…”

Section: Introductionmentioning

confidence: 99%

Towards Sustainable City: A Covering Model for Recycling Facility Location-allocation in Nilai, Malaysia

Zaharudin,

Shuib,

Hadianti

et al. 2023

Sci. Technol. Indones

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Sustainable waste management is essential for any nation. To limit the amount of waste transported to landfills, it is critical to handle waste properly, notably by segregating recyclables from discarded waste. Waste separation at the source is critical to ensure that generated waste is not completely directed to landfill. The practice of waste separation would initiate the recycling process, which is able to reduce the amount of waste sent to the landfill. Recycling is critical to the achievement of two Sustainable Development Goals (SDGs), 11 and 12, for which Malaysian government has set the goal for recycling rates to reach 40% by 2025 in 2022, the rate has reached 33.17%. In Malaysia, recyclables are either collected on-site or sent to a designated facility. The separation at source activity is essential for developing recycling practices. Despite being the largest waste generator, public engagement, particularly at the household level, has remained low, most likely due to recycling facility availability and accessibility issues. Thus, improving public access to the facility would lead to increased recycling rates. In this study, a mixed integer linear programming model is proposed to locate recycling facilities in optimal locations that cover the most amount of waste generated by households. The capacity level is induced to ensure that the dropped-off recyclables are proportionate at the designated facility locations. Several experiments were conducted for validity purposes, and the proposed model was applied in a Malaysian urban area, namely Nilai. As a result, the proposed model was able to locate the optimal locations with the requisite capacity level while ensuring coverage for most Nilai households.

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