Using applied operations research and geographical information systems to evaluate effective factors in storage service of municipal solid waste management systems

Erfani, Seyed Mohammad Hassan; Danesh, Shahnaz; Karrabi, Mohsen; Shad, Rouzbeh; Nemati, Samaneh

doi:10.1016/j.wasman.2018.08.003

Cited by 25 publications

(17 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The existing substantial literature particularly concentrates on the Vehicle Routing Problem for garbage trucks performing the service of solid waste collection. Practical aspects of application OR-based methods (the most frequently VRPs) for improving decision-making in SWM were studied using cases of different municipalities, e.g., Rio de Janeiro, Brazil [5]; Austin, Texas, USA [6]; Malaga, Spain [7]; Mashhad, Iran [8]; Cracow, Poland [9][10][11][12]; La Palma, Spain [13]; Ipoh City, Malaysia [14]; Wageningen, the Netherlands [15]; and many cities in Portugal [16].…”

Section: Introductionmentioning

confidence: 99%

Recyclables Collection Route Balancing Problem with Heterogeneous Fleet

2021

View full text Add to dashboard Cite

Nowadays, robust and efficient solid waste collection is crucial to motivate citizens to participate in the circular economy by sorting recyclable solid waste. Vocational vehicles, including garbage trucks, contribute significantly to CO2 emissions; therefore, it is strongly recommended, and in the European Union it is mandatory, to replace conventional-fuel-based garbage trucks with electric ones. For providing sustainable and energy-efficient solid waste collection with a heterogeneous fleet, in-depth mathematical computations are needed to support solving complex decision-making problems, including crew rostering and vehicle routing, because the distance and capacity of electric garbage trucks differ from conventional-fuel-based ones. However, the literature on solid waste collection using electric garbage trucks is still relatively scarce. The main contribution of this paper is developing an optimization problem for balancing travel distance assigned to each garbage truck of a heterogeneous fleet. The problem is based on specific requirements of the Municipal Solid Waste Management in Cracow, Poland, where the working time of routes is balanced and the total time of collection service can be minimized. For the problem, an MIP program was developed to generate optimal crew schedules, so that the hitherto network of segregated solid waste pickup nodes can be served using a heterogeneous fleet in which the share of electric garbage trucks is up to 30%. We study the impact of the changed composition of the fleet on modifications in crew rostering due to the shorter range of an electric vehicle compared to a conventional-fuel-based one.

show abstract

Section: Introductionmentioning

confidence: 99%

Recyclables Collection Route Balancing Problem with Heterogeneous Fleet

2021

View full text Add to dashboard Cite

show abstract

“…Aemu et al analyzed the impact of optimal bins location using GIS approaches and proposed that it has a direct impact on the overall cost, residents' convenience and satisfaction, efficient collection for waste carrier vehicles, to name a few [33]. Similar approaches are backed by Boskovic and Jovicic [34] and Erfani et al [35] to solve the case studies based on urban locations in Serbia and in Iran, respectively. A more young study has been conducted by Imran et al [36] for Jeju Island.…”

Section: Related Workmentioning

confidence: 99%

Optimal Route Recommendation for Waste Carrier Vehicles for Efficient Waste Collection: A Step Forward Towards Sustainable Cities

et al. 2020

View full text Add to dashboard Cite

The exponentially growing population, urbanization, and economic development have led to the rising generation of municipal solid waste. Municipal solid waste management is thus a significant hurdle for urban societies as it consumes a large chunk of public funds, and, when mishandled, it can lead to environmental and social hazards. Some of the prerequisites required for effective waste management are the monitoring of bins, timely collection of bins, and prioritization of those areas which produce more solid waste. In this paper, we propose an optimal route recommendation system for waste carriers vehicles to effectively collect solid waste based on the profile of a particular area. This article contributes with a multi-objective optimization approach to generate a route by minimizing the route distance and maximizing the amount of waste. Then, a family of evolutionary methods is employed to solve the proposed objective function and find the optimal route for waste carrier vehicles. The experiment is carried out on the real-world solid waste data of Jeju Island, South Korea. The data is processed to predict the behavior of people of a specified grid location in terms of waste disposal. Therefore, the recommendation system caters to the predicted waste across a set of bins inside the area, and considering the constraints such as total allowed distance and time, proposes a route that is best in terms of distance (fuel consumption) and waste collection. Different use cases are illustrated to signify the proposed system, and results indicate that it can be a step forward for the implementation of smart cities, which is the goal of Jeju Island. INDEX TERMS Waste management, route optimization, smart cities, sustainable development, green projects, Jeju Island.

show abstract

“…supply capacity, number of collection/processing facilities, network capacity etc. (Erfani et al, 2018); (ii) geographical restrictions on solid waste logistics/transportation (Das et al, 2019); (iii) alternative legislatively and technically imposed requirements for the transportation and treatment of different solid waste in a range of geographical regions (Abdel-Shafy and Mansour, 2018); (v) variant level of infrastructure and technology readiness for solid waste collection, transportation and treatment (Zabaleta and Rodic, 2015); and (iv) local and regional environmental impact of solid waste (Singh, 2019). "…”

Section: N Tsolakis Et Almentioning

confidence: 99%

Supply network configuration archetypes for the circular exploitation of solid waste

Srai

Zissis

Tsolakis

2020

IJISM

View full text Add to dashboard Cite

This research aims to use network configuration theory to propose circular supply chain archetypes for the valorisation of solid waste. The proposed network configuration archetypes are differentiated by their levels of geographic dispersion, each representing coherent clusters of waste material and supply network characteristics for the valorisation of waste streams, namely: centralised, semi-centralised and decentralised. The different types of solid waste require local (e.g. wood, organic waste), regional (e.g. glass, plastics and rubber, paper and cardboard) or pan-regional (e.g. metals and alloys) network configuration options primarily dictated by the intrinsic physico-chemical properties of the wasted material and constraints related to the processing technologies. Furthermore, the proposed network configuration archetypes dictate operational considerations, such as procurement and preprocessing options for the wasted feedstocks, along with upscale production opportunities and distribution of the value-added intermediates or end-products.

show abstract

Using applied operations research and geographical information systems to evaluate effective factors in storage service of municipal solid waste management systems

Cited by 25 publications

References 32 publications

Recyclables Collection Route Balancing Problem with Heterogeneous Fleet

Recyclables Collection Route Balancing Problem with Heterogeneous Fleet

Optimal Route Recommendation for Waste Carrier Vehicles for Efficient Waste Collection: A Step Forward Towards Sustainable Cities

Supply network configuration archetypes for the circular exploitation of solid waste

Contact Info

Product

Resources

About