Technologies and decision support systems to aid solid-waste management: a systematic review

Melaré, Angelina Vitorino de Souza; González, Sahudy Montenegro; Faceli, Katti; Casadei, Vitor

doi:10.1016/j.wasman.2016.10.045

Cited by 210 publications

(60 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This section summarizes the main research contributions presented in the introduction by enumerating the major bottlenecks and challenges for each. The analysis relies on the findings of the previously conducted extensive review of existing DSM, such as (Vitorino de Souza Melaré et al 2017). It also integrates recent bibliographical references in the area of MSW modelling and prediction, management system optimization, and solution assessment.…”

Section: Expanded Literature Reviewmentioning

confidence: 99%

Integrated decision-support methodology for combined centralized-decentralized waste-to-energy management systems design

Kuznetsova

Cardin

Diao

et al. 2019

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

The rapid expansion of urban populations and concomitant increase in the generation of municipal solid waste (MSW) exert considerable pressure on the conventional centralized MSW management system and are beginning to exceed disposal capacities. To tackle this issue, the conventional centralized MSW management system is more likely to evolve toward a more decentralized system with smaller capacity waste treatment facilities that are integrated at different levels of the urban environment, e.g., buildings, districts, and municipalities. In addition, MSW can become an important urban resource to address the rising energy consumption through waste-to-energy (WTE) technologies capable of generating electricity, heat, and biogas. This shift toward the combined centralizeddecentralized waste-to-energy management system (WtEMS) requires an adapted decisionsupport methodology (DSM) that can assist decision-makers in analyzing MSW generation across large urban territories and designing optimal long-term WtEMS.The proposed integrated DSM for WtEMS planning relies on: i) an MSW segregation and prediction methodology, ii) an optimization methodology for the deployment of multi-level urban waste infrastructure combining centralized and decentralized facilities, and iii) a multicriterion sustainability framework for WtEMS assessment. The proposed DSM was tested on a case study that was located in Singapore. The proposed WtEMS not only reduced the total operational expenses by about 50%, but also increased revenues from electricity recovery by two times in comparison with the conventional MSW management system. It also allowed more optimal land use (capacity-land fragmentation was reduced by 74.8%) and reduced the size of the required transportation fleet by 15.3% in comparison with the conventional MSW system. The Global Warming Potential (GWP) was improved by about 18.7%. Sets |T|,t ∈T -Life span period of a WTF [year]|I|,i ∈ I -Number of waste generators [unit] |J|, j ∈ J -Number of candidate sites where decentralized (on-site) and centralized (offsite) treatment facilities can be installed [unit] |A|, a ∈ A -Set of technologies available for the deployment |L|, l∈ L -Possible number of units of each technology that can be deployed at each candidate site [unit] Parameters and variables q i , t -Amount of waste generated at each time step, t, by each waste generator, i [tons of waste/year] k a 0 -Unit transformation capacity of treatment facility [tons of processed waste/day] K a , j -Limitation of land space represented by the maximum number of units of technology, a, to be installed at candidate site, j [units] λ a ,r 0 -Amount of recovered resource per ton of treated waste of technology, a [Amount of recovered energy/material/ton of processed waste] − +, u t ❑ u t ❑-Additional continuous variables to determine the smaller value between the quantity of waste, q i , t , generated at WGS i at time step t is greater than or equal to the system capacity, x j ,l , t , installed at candidate site, j v t -Binary decision ...

show abstract

Section: Expanded Literature Reviewmentioning

confidence: 99%

Integrated decision-support methodology for combined centralized-decentralized waste-to-energy management systems design

Kuznetsova

Cardin

Diao

et al. 2019

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…Application of intelligent technologies has been suggested and applied in waste management. Gutierrez et al presented a waste collection solution based on intelligent trash cans, which used IoT prototypes embedded with sensors to read, collect, and transmit trash volume data over the Internet [26].Vitorino et al provided a detailed review of technologies and decision support systems to aid solid-waste management and concluded that business intelligence tools and techniques (e.g., data mining, multidimensional analysis) could be utilized for raw data transformation into meaningful and useful information that could potentially benefit decision-making concerning waste management [27]. However, potential challenges exist in practice mainly due to the cost.…”

Section: Application Of Intelligent Technologiesmentioning

confidence: 99%

“…As indicated by Vitorina et al several technologies are either high cost or in development. These include the IoT (utilizing RFID, sensors, and micro-controllers), trucks equipped with on-board computers and GPS, and GIS software and image processing technologies [27]. Public-private partnership (PPP) is suggested in this regard.…”

Section: Application Of Intelligent Technologiesmentioning

confidence: 99%

Proposal for Planning an Integrated Management of Hazardous Waste: Chemical Park, Jiangsu Province, China

et al. 2019

View full text Add to dashboard Cite

This study elucidates the current state of hazardous waste management in industrial parks with a particular focus on Jiangsu Province. The development of the Internet of Things and big data technology has encouraged the application of intelligent technologies for hazardous waste management. However, the concept of considering each chemical park as a large enterprise have been suggested to reduce potential risks from the transportation of hazardous waste, help local environmental protection departments intuitively understand the position of park administrators, and to realize cyclic utilization of hazardous waste resources. We propose integrated management of hazardous waste at the chemical park level. In this study, principles such as integrated closed management, data unification, clustering management, and intelligent technologies were introduced for hazardous waste management in chemical parks. Additionally, potential approaches, such as a unified environmental butler service, an intelligent standard box system, and system optimization scenarios, are proposed and comprehensively explained. These approaches are likely to enable informed, structured, comprehensive, and interdisciplinary management of hazardous waste not only in chemical parks but also in industrial parks in general in the future.

show abstract

“…However, it should be noted that the state of affairs in the field of DSS applications to ensure the effectiveness of business process management does not sufficiently meet the needs of the enterprise in modern conditions, and there are a number of scientific problems that require systemic solutions [9]. Among them, it can be noted: the need to develop a decision-making methodology in determining the optimal control regimes for the interaction of industrial enterprises in the EGs; the need to develop the principles of information and analytical support for DSS when optimizing the management systems of a EGs [10], the lack of common models for selecting and implementing IPs in several EGs under the direction of the managing company (MC).…”

Section: Introductionmentioning

confidence: 99%

“…The aim of the work is a systematic analysis of information processes for managing the activities of EGs, the development of DSS to increase the efficiency of the implementation in IP, as well as the optimization of teamwork (interaction) of enterprises belonging to the EGs. To achieve these goals, the main research methods used were: system analysis, automatic control theory, decision theory, structural and dynamic analysis, system modeling, numerical methods, nonlinear programming [9]. Practical values of this research are considered the applications of the developed models in the management system of joint business processes in EGs allows taking into account the change in the performance indicators of each www.ijacsa.thesai.org industrial enterprises over time of their joint work [7], [11].…”

Section: Introductionmentioning

confidence: 99%

Decision Making Systems for Managing Business Processes in Enterprises Groups

Dalain¹

2019

IJACSA

View full text Add to dashboard Cite

In the current economic realities, the forms of integration business entities through the creation of enterprise groups (EGs), reorganized from industry structures or created a new by acquiring existing companies, are becoming increasingly relevant. The economic activity of the enterprise is carried out in the conditions of economic instability and improvement of the system economic relations, which imposes fundamentally new requirements in the sphere of managing the interaction of enterprises. Under these conditions, the successful development of the enterprises and often their very existence depend both on the effective use of the management systems themselves and on the competence of the management decisions made. Consequently, for decision makers and managers of Group Policy (GP), the problem of evaluating the development of GP and promptly making sound management decisions in an unstable and rapidly changing economic environment is considered a particular relevance. One of the promising ways to solve this problem is the development of decision support systems (DSS), using scientifically based decision-making methods based on modern mathematical apparatus and computer equipment. At present, the approach to managing the development of the EGs is associated with the representation of the latter as a multi-agent system (MAS). The DSS does not replace, but complements the existing management systems in the EGs, interacting with them, and uses in its work information about the functioning of EGs units.

show abstract

Technologies and decision support systems to aid solid-waste management: a systematic review

Cited by 210 publications

References 56 publications

Integrated decision-support methodology for combined centralized-decentralized waste-to-energy management systems design

Integrated decision-support methodology for combined centralized-decentralized waste-to-energy management systems design

Proposal for Planning an Integrated Management of Hazardous Waste: Chemical Park, Jiangsu Province, China

Decision Making Systems for Managing Business Processes in Enterprises Groups

Contact Info

Product

Resources

About