Calculating the costs of waste collection: A methodological proposal

Bošković, Goran; Jovičić, Nemanja; Jovanović, Saša; Šimović, Vladimir

doi:10.1177/0734242x16654980

Cited by 53 publications

(32 citation statements)

References 11 publications

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“…In 2018, the activity of waste collection, sweeping and cleaning meant a cost of 576,000,000$ ARG (around 15,700,000 US$) representing 12% of the municipal budget and so far in 2019, expenses are recorded for 737,948,232$ ARG (around 16,400,00 US$) (Municipality of Bahía Blanca, 2018). Most of the waste is taken to the landfill, without any classification or processing, which is a common practice in developing countries (Boskovic et al, 2016). The landfill, due to its intensive use and the semiarid climate of the area that hinders waste biodegradation, is almost at the limit of its capacity (Rossit et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

Application of a methodology to design a municipal waste pre-collection network in real scenarios

et al. 2020

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The design of efficient municipal solid waste (MSW) pre-collection networks can contribute to the global efficiency and sustainability of the reverse logistic chain of MSW in modern cities. With this aim, in this paper a comprehensive methodology that involves making decisions in several stages, from waste fraction classification to the final optimization of waste bins’ location, was applied in two real cases of the city of Bahía Blanca, Argentina. This city, does not have much available data about waste generation and, therefore, an important fieldwork had to be performed for applying this methodology, involving estimating population density per block and waste generation rate per inhabitant, identifying the location of commercial and institutional buildings and also estimating its generation rate, as well as performing a characterization of the MSW from similar studies in the literature and surveys performed to make decisions. The modelling of the urban characteristics was performed in a geographic information system. In the bins’ location problem, a mixed-integer optimization model was applied, seeking to minimize the investment costs, given the maximum area available and the capacity of the bins. Different scenarios were analysed, considering different collection frequencies and the maximum distance to be travelled by the user.

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Section: Methodsmentioning

confidence: 99%

Application of a methodology to design a municipal waste pre-collection network in real scenarios

et al. 2020

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“…Babaee Tirkolaee et al (2018) optimized the problem of collecting municipal waste with regard to drivers and crew working time. (Babaee Tirkolaee et al , 2018) studied savings in the cost of MSW collection; (Zsigraiova et al , 2013; Boskovic et al , 2016; Nguyen et al , 2017) studied fuel consumption for MSW collection vehicles. (Larsen et al , 2009; Zsigraiova et al , 2013; Edwards et al , 2016) applied GIS-based approaches for urban waste collection.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel mathematical model for municipal waste collection and energy generation: case study of Kermanshah city

Valizadeh

2020

MEQ

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PurposeWaste production and related environmental problems have caused urban services management many problems in collecting, transporting and disposal of waste. Since collecting and transporting waste are important parts of waste management budget, it is necessary to apply an appropriate method to reduce costs of collection. The aim of this study is to design a new model for urban waste collection vehicle routing problem with time windows and energy generating from waste.Design/methodology/approachA multiobjective model is presented with the objectives of minimizing cost of waste collection, reducing emissions from environmental pollutants and increasing income of recycles trade and energy recovery. Concerning the complexity of the model and its inability to solve large-scale problems, hyperactive genetic algorithms and multiple objective particle swarm optimization are applied.FindingsThe proposed model not only affects costs and income but also reduces the emissions of environmental pollutants. To solve the formulated model, multitarget approaches are applied on the processing site of Kermanshah city as a case study. The solutions of these algorithms and the exact method of partial constraints are compared and the outcomes are verified by numerical analysis by solving various examples in small, medium and large scales. The proposed model helps to collect urban wastes in the shortest possible time in addition to reducing the total cost, revenues from the sale of recycled materials and energy generation.Research limitations/implicationsWaste collection is related to VRP issue. Considering the environmental requirements in waste management, the concept of green supply chain is approached. This study provides a better understanding of urban waste management by examining various articles and combining economic and environmental dimensions. Waste management with a green approach and energy production from disposable waste involves many common stakeholders.Practical implicationsThis study suggests that proper waste management can generate revenue from municipal waste. Moreover, it reduces cost of collecting and emission of environmental pollutants. These findings could motivate companies to waste management with a sustainable approach.Originality/valueThe proposed model boosts the current understanding of the waste management and energy generation of waste. The paper adds additional values by unveiling some key future research directions. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research to develop new processes.

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“…As previously stated, the purpose of this research is to analyze the price drivers for the USAF's procurement of ISWM to identify the relationship between ISWM service-related price drivers, contracting-related price drivers, price and contractor performance. Past technical research regarding waste disposal has focused on solving waste management social and environmental problems (Achillas et al, 2013), cost-effective waste collection systems (Boskovic et al, 2016;Arribas et al, 2010) and alternative solid waste strategies that meet cost, energy and environmental emissions objectives (Solano et al, 2002). We focus on the procurement side of the service, specifically on category management and identifying price drivers to strategically source the service.…”

Section: Literature Reviewmentioning

confidence: 99%

Using analytics to inform category management and strategic sourcing

Landale

Apte

Rendon

et al. 2018

JDAL

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Purpose-The purpose of this paper is to show how data analytics can be used to identify areas of potential cost savings for category managers of installation-level services. Using integrated solid waste management (ISWM) as a test case, the authors also examine the impact of small business setasides on price and contractor performance. Design/methodology/approach-The authors use data analytics, specifically sequential regression, the Wilcoxon rank-sum test and ordered logistic regression to investigate the influence of service-and contracting-related variables on price and contractor performance. Findings-The authors find that service-and contracting-related variables influence price. Specifically, they identify that a service-related variable, number of containers, significantly affects price, and that two contracting-related variables, one type of small business set-aside and the number of offers received, also significantly affect price. The authors quantify the price premiums paid for using various types of small business set-asides. Research limitations/implications-Although the findings were significant, the authors believe that the robustness of the conclusions could be enhanced if the Air Force captured more data. Additional observations would increase the generalizability of the results. Practical implications-This empirical experiment demonstrates that detailed analyses are required to gain insights into services' price drivers to craft more appropriate category management strategies for installation-level services. Originality/value-This empirical study shows how historical data can be used to assess price drivers of installation-level services. It is also one of the first to quantify the impact that small business set-asides have on price.

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Calculating the costs of waste collection: A methodological proposal

Cited by 53 publications

References 11 publications

Application of a methodology to design a municipal waste pre-collection network in real scenarios

Application of a methodology to design a municipal waste pre-collection network in real scenarios

A novel mathematical model for municipal waste collection and energy generation: case study of Kermanshah city

Using analytics to inform category management and strategic sourcing

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