Sustainable location and route planning with GIS for waste sorting centers, case study: Kerman, Iran

Farahbakhsh, Amin; Forghani, Mohammad Ali

doi:10.1177/0734242x18815950

Cited by 41 publications

(21 citation statements)

References 40 publications

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“…It is always the least desirable option to develop landfills in close proximity to natural reserves (Sener et al, 2010). Concomitant with higher population densities is more extensive urbanization (Farahbakhsh and Forghani, 2019). Further, the higher the GDP in a given location, the higher its economic level and the higher the added value of land will be (Aracil et al, 2018).…”

Section: Socio-economic Factorsmentioning

confidence: 99%

Site selection for municipal solid waste landfills in arid regions based on fuzzy decision-making：A Case Study in the Hexi Corridor of China

Liu

Xiao

et al. 2021

Preprint

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The rational and scientific selection of Municipal Solid Waste (MSW) landfill sites is becoming increasingly important, due to the continuous growth of MSW worldwide. Multi-source information is employed to ensure the accuracy of the evaluation criteria, including hydrogeological, morphological, environmental, climatic and socio-economic data. In the fuzzy logic environment, a Fuzzy Analytic Hierarchy Process (FAHP) and GIS spatial technique have been utilized to locate potential landfill sites. Landfill Site Selection Results (LSSR) were divided into three categories: suitable, less suitable, and unsuitable. Suitable areas were further divided into high, moderate, and low levels. We used the field investigations of 28 standardized landfill sites in the Hexi Corridor of China that comply with the China National Standard (CNS) to verify the LSSR. These sites are then ranked utilizing group fuzzy MULTIMOORA. These methods were more feasible and accurate in assessing the suitability of MSW landfills. The highlights of our methods were as follows: (1) The uncertainty of AHP expert scoring reduced by employing the fuzzy membership function, and the decision efficiency of spatial analysis improved as well. (2) Verification results showed that the main LSSR met the CNS perfectly and located suitable areas, with an accuracy of 93% (26 out of 28 sites). (3) In the highly suitable areas, 11 candidate areas were selected for the MSW landfill site construction in the Hexi Corridor. Furthermore, technical countermeasures for the standardized management of MSW landfills were proposed for the Hexi Corridor, which is critical for ecological/environmental protection.

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Section: Socio-economic Factorsmentioning

confidence: 99%

Site selection for municipal solid waste landfills in arid regions based on fuzzy decision-making：A Case Study in the Hexi Corridor of China

Liu

Xiao

et al. 2021

Preprint

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“…Furthermore, the VRP has been studied widely in the literature for various real-world applications (Mirmohammadi et al, 2017;Tirkolaee et al, 2017Tirkolaee et al, , 2019, but CARP has been almost neglected despite its effective practical aspects, particularly in USWM (Tirkolaee et al, 2018a). Moreover, some researchers have worked on the application of a Geographic Information System to construct optimal routing for USWM (Farahbakhsh and Forghani, 2019;Sanjeevi and Shahabudeen, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management

et al. 2019

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Nowadays, urban solid waste management is one of the most crucial activities in municipalities and their affiliated organizations. It includes the processes of collection, transportation and disposal. These major operations require a large amount of resources and investments, which will always be subject to limitations. In this paper, a chance-constrained programming model based on fuzzy credibility theory is proposed for the multi-trip capacitated arc routing problem to cope with the uncertain nature of waste amount generated in urban areas with the aim of total cost minimization. To deal with the complexity of the problem and solve it efficiently, a hybrid augmented ant colony optimization algorithm is developed based on an improved max–min ant system with an innovative probability function and a simulated annealing algorithm. The performance of hybrid augmented ant colony optimization is enhanced by using the Taguchi parameter design method to adjust the parameters’ values optimally. The overall efficiency of the algorithm is evaluated against other similar algorithms using well-known benchmarks. Finally, the applicability of the suggested methodology is tested on a real case study with a sensitivity analysis to evolve the managerial insights and decision aids.

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“…waste sites, disposal centers, etc.) (see, e.g., Abdelli et al, 2016; Erfani et al, 2017; Farahbakhsh and Forghani, 2019; Khan and Samadder, 2016). For example, Khan and Samadder (2016) identified the optimum routes of 22 trucks that could collect three times per day after the allocation of waste bins in Dhanbad City, India.…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy optimization approach to the capacitated node-routing problem for municipal solid waste collection with multiple tours: A case study

2019

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In many countries, municipal solid waste management is considered a very important challenge, and the most relevant costs in this field are dedicated to the collection process. Therefore, this study aimed to propose a mathematical model with multiple depots and multiple intermediate facilities to minimize fixed and variable costs of waste collection. Intermediate facilities are used in the developed countries in their waste collection network, because these facilities reduce the long-term costs of waste management and increase the quality of the waste collection process. Also, in reality, the amount of waste generated per day is not deterministic, so, to cope with the issue of uncertainty in the amount of waste, a fuzzy optimization approach was considered. Furthermore, a system where vehicles that could collect the wastes in multiple tours, with a maximum number of tours for each vehicle, was also considered. Due to the high complexity of this model, a genetic algorithm was elaborated. Further, the efficiency of the proposed algorithm was confirmed by comparison with the exact solution in small dimensions. It should be noted that the initial solution of this algorithm was obtained by a proposed heuristic algorithm. Finally, a case study on the vehicle routing of municipal solid waste was conducted in a district of Tehran, Iran. Moreover, the solutions of the model were validated by comparing the results of the proposed model and the current real-life situation. The contractors could improve vehicle routes and reduce costs by implementing the results of the proposed model, without any additional cost.

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Sustainable location and route planning with GIS for waste sorting centers, case study: Kerman, Iran

Cited by 41 publications

References 40 publications

Site selection for municipal solid waste landfills in arid regions based on fuzzy decision-making：A Case Study in the Hexi Corridor of China

Site selection for municipal solid waste landfills in arid regions based on fuzzy decision-making：A Case Study in the Hexi Corridor of China

A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management

A fuzzy optimization approach to the capacitated node-routing problem for municipal solid waste collection with multiple tours: A case study

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