Optimization model for solid waste management system network design case study

Noche, Bernd; Rhoma, Fathi A.; Chinakupt, Trin; Jawale, Mandar

doi:10.1109/iccae.2010.5451476

Cited by 14 publications

(8 citation statements)

References 33 publications

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“…The literature can offer us many studies devoted to selected aspects of waste management. When it comes to the spatial aspects, researchers have used GIS (Geographic Information Systems) to focus on optimised transport (e.g., [8][9][10]), decision systems for location of infrastructure [11], methods of such analysis [12], multi-criteria a spatial analysis [13,14], GIS network optimization models [15], as well as analysing possible locations for waste-treatment and processing installations using GIS decision models on the case study of small region including several gminas [16], assessing amounts of waste generated [17,18] and analysing flows of wastes by way of MFA (Material Flow Analyses, e.g., [19,20]). Additionally conducted were comparative analyses of systems of waste management in Poland and other EU Member States [21], analyses of amounts of wastes generated through the year in different cities of Eastern Europe [22], comparisons of the waste-management systems present in European states [23] and regional analyses on the whole-country scale and in the context of the relationship between waste management and environmental pollution [24].…”

Section: Waste Management-a Theoretical Overviewmentioning

confidence: 99%

What Solutions for Waste Management? Issues of Flows and Governance Exemplified by the Łódź Agglomeration (Poland)

Mazurek

Czapiewski

2021

Energies

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This article seeks to propose a waste-management model based on qualitative and quantitative research. Specifically, an analysis of the flow of municipal waste was carried out, with the case involved being that of the biodegradable waste generated in households of Poland’s Łódź Metropolitan Area, which is heterogeneous from the points of view of both settlement structure and land use. The analysis of flows of waste then served an evaluation of the system of waste management in the study area, while also representing an important input into a process of identification of problems and possible solutions via so-called PULL (“Peri-Urban Living Lab”) workshop methodology. Indeed, the research detailed here was participatory throughout (from the stages of problem identification through to conclusion-drawing). All of these stages to the work were kept cohesive through the use of an advanced tool allowing for both analysis of the given area and the devising of strategies by which circular economy could be developed. Specifically, GDSE (GeoDesign Decision Support Environment) programming—devised within the framework of the REPAiR Project—offered opportunities for flows of different kinds of materials and raw materials across space to be identified. It also served in the implementation of Eco-innovative solutions (EIS), as were developed jointly in cooperation with participants of the PULL workshops. The article offers a synthetic presentation of the results of different stages to the research, along with a synthesis relating to the waste-management context, with particular account taken of the development of the circular economy.

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Section: Waste Management-a Theoretical Overviewmentioning

confidence: 99%

What Solutions for Waste Management? Issues of Flows and Governance Exemplified by the Łódź Agglomeration (Poland)

Mazurek

Czapiewski

2021

Energies

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“…Operations research models have been extensively used to address regional planning decisions such as the selection of collection site locations [5,6], transfer station locations [7][8][9][10][11][12], waste processing facility locations [12][13][14][15][16], and landfill location [7,10,13,15]. Such analyses typically aim to identify the best locations for sites while minimizing cost.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To compute the cost associated with dumpsters, we next need to identify the number of services per week. Constraints (13), (14), (15), (16), and (17) are linear constraints used to model dumpster collection costs through use of a piecewiselinear representation by computing the number of weekly services for dumpsters at collection point based upon the total number of days receiving dumpster service at this point. Constraint (18) then ensures that all type dumpsters at collection point are charged for service based on this number of weekly dumpster services at collection point .…”

Section: Objective Functionmentioning

confidence: 99%

Planning Solid Waste Collection with Robust Optimization: Location-Allocation, Receptacle Type, and Service Frequency

Mehr

McGarvey

2017

Advances in Operations Research

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Consider the problem faced by a purchaser of solid waste management services, who needs to identify waste collection points, the assignment of waste generation points to waste collection points, and the type and number of receptacles utilized at each collection point. Receptacles whose collection schedule is specified in advance are charged a fixed fee according to the number of times the receptacle is serviced (emptied) per week. For other receptacles, the purchaser pays a fee comprised of a fixed service charge, plus a variable cost that is assessed on a per-ton-removed basis. We develop a mathematical programming model to minimize the costs that the purchaser pays to the waste management provider, subject to a level of service that is sufficient to collect all of the purchaser’s required waste. Examining historical data from the University of Missouri, we observed significant variability in the amount of waste serviced for nonscheduled receptacles. Because this variability has a significant impact on cost, we modified our model using robust optimization techniques to address the observed uncertainty. Our model’s highly robust solution, while slightly more expensive than the nonrobust solution in the most-optimistic scenario, significantly outperforms the nonrobust solution for all other potential scenarios.

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“…It has been a significant challenge for cities around the world [7]. Thus, in the absence of an effective and efficient solid waste management program, waste generated by urban activities, both industrial and domestic, can result in health risks and harm the environment [8]. Understanding of the waste generated, the availability of resources and the environmental conditions of a given society is essential for the development of an appropriate waste management system.…”

Section: Introductionmentioning

confidence: 99%

A Smart Waste Management Solution Geared towards Citizens

Pardini

Rodrigues

Diallo

et al. 2020

Sensors

152

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Global industry is undergoing major transformations with the genesis of a new paradigm known as the Internet of Things (IoT) with its underlying technologies. Many company leaders are investing more effort and money in transforming their services to capitalize on the benefits provided by the IoT. Thereby, the decision makers in public waste management do not want to be outdone, and it is challenging to provide an efficient and real-time waste management system. This paper proposes a solution (hardware, software, and communications) that aims to optimize waste management and include a citizen in the process. The system follows an IoT-based approach where the discarded waste from the smart bin is continuously monitored by sensors that inform the filling level of each compartment, in real-time. These data are stored and processed in an IoT middleware providing information for collection with optimized routes and generating important statistical data for monitoring the waste collection accurately in terms of resource management and the provided services for the community. Citizens can easily access information about the public waste bins through the Web or a mobile application. The creation of the real prototype of the smart container, the development of the waste management application and a real-scale experiment use case for evaluation, demonstration, and validation show that the proposed system can efficiently change the way people deal with their garbage and optimize economic and material resources.

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Optimization model for solid waste management system network design case study

Cited by 14 publications

References 33 publications

What Solutions for Waste Management? Issues of Flows and Governance Exemplified by the Łódź Agglomeration (Poland)

What Solutions for Waste Management? Issues of Flows and Governance Exemplified by the Łódź Agglomeration (Poland)

Planning Solid Waste Collection with Robust Optimization: Location-Allocation, Receptacle Type, and Service Frequency

A Smart Waste Management Solution Geared towards Citizens

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