Distributed mixed-integer fuzzy hierarchical programming for municipal solid waste management. Part I: System identification and methodology development

The efficient management of municipal solid waste is a major problem for large and populated cities. In many countries, the majority of municipal solid waste is landfilled or dumped owing to an inefficient waste management system. Therefore, an optimal and sustainable waste management strategy is needed. This study introduces a recycling and disposal network for sustainable utilisation of municipal solid waste. In order to optimise the network, we develop a multi-objective mixed integer linear programming model in which the economic, environmental and social dimensions of sustainability are concurrently balanced. The model is able to: select the best combination of waste treatment facilities; specify the type, location and capacity of waste treatment facilities; determine the allocation of waste to facilities; consider the transportation of waste and distribution of processed products; maximise the profit of the system; minimise the environmental footprint; maximise the social impacts of the system; and eventually generate an optimal and sustainable configuration for municipal solid waste management. The proposed methodology could be applied to any region around the world. Here, the city of Tehran, Iran, is presented as a real case study to show the applicability of the methodology.

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An Interval Mixed-Integer Semi-Infinite Programming Method for Municipal Solid Waste Management

Journal of the Air & Waste Management Association ◽

10.3155/1047-3289.59.2.236 ◽

2009 ◽

Vol 59 (2) ◽

pp. 236-246 ◽

Cited By ~ 20

Author(s):

Li He ◽

Guo H. Huang ◽

Guangming Zeng ◽

Hongwei Lu

Keyword(s):

Waste Management ◽

Municipal Solid Waste ◽

Solid Waste ◽

Solid Waste Management ◽

Programming Method ◽

Mixed Integer ◽

Municipal Solid Waste Management ◽

Infinite Programming

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Sustainable multi-trip periodic redesign-routing model for municipal solid waste collection network: The case study of Tehran

10.21203/rs.3.rs-256948/v1 ◽

2021 ◽

Author(s):

Leila Mahdavi ◽

Saeed Mansour ◽

Mohsen Sheikh Sajadieh

Keyword(s):

Waste Management ◽

Municipal Solid Waste ◽

Solid Waste ◽

Social Life ◽

Solid Waste Management ◽

Social Life Cycle Assessment ◽

Mixed Integer ◽

Municipal Solid Waste Management ◽

Transfer Stations

Abstract Daily transportation of vehicles is one of the most important challenges in municipal solid waste management systems in developing countries related to environmental aspects in different areas, financial issues, and social factors. The location of transfer stations as intermediate nodes in municipal solid waste management network affects optimal collection frequency. Here a sustainable multi-period and multi-trip mixed-integer linear programming model was developed to redesign the intermediate transfer stations and find optimal routes for vehicles and the best collection frequency for each municipal solid waste generation point. Regarding the social aspect of sustainability, an extended social life cycle assessment methodology is developed for impact assessment of redesign and routing operations. The model is applied to a real-world case study with no cooperative perspective, which could result in total cost reduction by a 66% that occurred by a 86% reduction in weekly traveled distance and a 12% decrease in routing social score.

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