Multi-Agent Based Simulation of Environmental Pollution Issues: A Review

Ghazi, Sabri; Khadir, Tarek; Dugdale, Julie

doi:10.1007/978-3-319-07767-3_2

Cited by 10 publications

(2 citation statements)

References 17 publications

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“…Por outro lado, muitas pesquisas estão sendo desenvolvidas e exploradas com o intuito de auxiliar no controle ou prevenção dos danos causados pela poluição no meio ambiente [Ghazi et al 2014]. Os Sistemas Multiagente (SMA) são técnicas que vem sendo utilizadas para simular sistemas sociais e ambientais.…”

Section: Introductionunclassified

Simulação Multiagente para Controle de Poluição na Água

Leitzke¹,

Pereira²,

Adamatti³

2019

Anais Do Encontro Nacional De Inteligência Artificial E Computacional (ENIAC 2019)

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Um dos recursos naturais mais importantes para um ecossistema é a água. Entretanto, esse recurso vem sofrendo com o impacto da poluição. Para contornar esse problema, alternativas como os Sistemas Multiagente (SMA) podem ser utilizadas. A partir dessa técnica, é possível desenvolver sistemas virtuais semelhantes a realidade, onde a ação dos agentes e suas consequências no ambiente podem ser analisadas, e os resultados de cenários futuros podem ser utilizados para prevenir possíveis problemas dentro do sistema. Neste artigo, um SMA, chamado Poluição X Drone, é apresentado em detalhes. Nesse modelo, é possível analisar o impacto da poluição no ambiente, e como tecnologias, tal como drones, podem auxiliar na diminuição e controle de poluição.

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Section: Introductionunclassified

Simulação Multiagente para Controle de Poluição na Água

Leitzke¹,

Pereira²,

Adamatti³

2019

Anais Do Encontro Nacional De Inteligência Artificial E Computacional (ENIAC 2019)

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“…Modeling sustainability with ABS has shown to be a promising strategy. It is claimed that detecting macro-behaviors aids in the comprehension of complicated physical and ecological systems [111]. The primary idea of an ABS model is to describe interactions between social-economic and ecological processes.…”

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confidence: 99%

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

Khan

Abonyi

2022

Sustainability

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At the current worrisome rate of global consumption, the linear economy model of producing goods, using them, and then disposing of them with no thought of the environmental, social, or economic consequences, is unsustainable and points to a deeply flawed manufacturing framework. Circular economy (CE) is presented as an alternative framework to address the management of emissions, scarcity of resources, and economic sustainability such that the resources are kept ‘in the loop’. In the context of manufacturing supply chains (SCs), the 6R’s of rethink, refuse, reduce, reuse, repair, and recycle have been proposed in line with the achievement of targeted net-zero emissions. In order to bring that about, the required changes in the framework for assessing the state of manufacturing SCs with regard to sustainability are indispensable. Verifiable and empirical model-based approaches such as modeling and simulation (M&S) techniques find pronounced use in realizing the ideal of CE. The simulation models find extensive use across various aspects of SCs, including analysis of the impacts, and support for optimal re-design and operation. Using the PRISMA framework to sift through published research, as gathered from SCOPUS, this review is based on 202 research papers spanning from 2015 to the present. This review provides an overview of the simulation tools being put to use in the context of sustainability in the manufacturing SCs, such that various aspects and contours of the collected research articles spanning from 2015 to the present, are highlighted. This article focuses on the three major simulation techniques in the literature, namely, Discrete Event Simulation (DES), Agent-Based Simulation (ABS), and System Dynamics (SD). With regards to their application in manufacturing SCs, each modeling technique has its pros and its cons which are evinced in case of data requirement, model magnification, model resolution, and environment interaction, among others. These limitations are remedied through use of hybrids wherein two or more than two modeling techniques are applied for the desired results. The article also indicates various open-source software solutions that are being employed in research and the industry. This article, in essence, has three objectives. First to present to the prospective researchers, the current state of research, the concerns that have been presented in the field of sustainability modeling, and how they have been resolved. Secondly, it serves as a comprehensive bibliography of peer-reviewed research published from 2015–2022 and, finally, indicating the limitations of the techniques with regards to sustainability assessment. The article also indicates the necessity of a new M&S framework and its prerequisites.

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Study of a Simulator for the Diagnosis of Wind Farm Failures and the Development of Maintenance Strategies

Sadki,

Kaddiri

2023

Lecture Notes in Networks and Systems

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Multi-Agent Based Simulation of Environmental Pollution Issues: A Review

Cited by 10 publications

References 17 publications

Simulação Multiagente para Controle de Poluição na Água

Simulação Multiagente para Controle de Poluição na Água

Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy

Study of a Simulator for the Diagnosis of Wind Farm Failures and the Development of Maintenance Strategies

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