The complexity and scope of software systems continues to grow. One approach to dealing with this growing complexity is the use of intelligent, multi-agent systems. However, due in part to its relative infancy when compared to other software paradigms, the use of multi-agent systems has yet to be used extensively in industry. One reason is the lack of industrial strength methods and tools to support multi-agent development. This paper presents the organisation-based multi-agent software engineering (O-MaSE) methodology framework, which integrates a set of concrete technologies aimed at facilitating industrial acceptance. Specifically, O-MaSE is a customisable agent-oriented methodology based on consistent, well-defined concepts supported by plug-ins to an industrial strength development environment, agentTool III.
In this work, we propose a method and its concomitant software for the identification and assessment of building-evacuation routes. First, the building floor map is represented via P-graphs, thereby facilitating the identification of the evacuation routes. Second, each route identified is transformed into a time-expanded, process-network synthesis (PNST) problem, which can be algorithmically solved by the P-graph methodology. In the proposed method, each location and passage in the building is defined by a set of attributes to be taken into account in the evacuation-route planning. Third, the evacuation routes are ranked in terms of the evacuation time computed as the minimum cost of the corresponding PNST problem. Furthermore, the evacuation routes can be ranked according to specific criteria (e.g., bottlenecks, route utilization, etc.).Resumen-Este trabajo propone un método y software para la identificación y análisis de los planes de rutas de evacuación en edificios. Inicialmente, el plano arquitectónico del edificio se representa mediante P-graphs para facilitar la identificación de las rutas de evacuación. Posteriormente, cada una de estas rutas se transforma en un problema de síntesis de redes de procesos de tiempo expandido (PNST); el cual se resuelve algorítmicamente con base en la metodología P-graph. En el método propuesto, cada ubicación y corredor en el edificio se describe por medio de un conjunto de atributos que debe considerarse en el plan de rutas de evacuación. Finalmente, las rutas de evacuación se organizan con base en el tiempo de evacuación que se calcula como el costo mínimo del correspondiente problema PNST. Además, las rutas de evacuación pueden organizarse según diferentes criterios (e.g., cuellos de botella, utilización de rutas, etc.).
production of renewable fuels and chemicals is a critical component
of global strategies to reduce greenhouse gas emissions. In this regard,
pyrolysis oil obtained from biomass comprises hundreds of chemical
compounds, thus rendering it a good precursor for manufacturing a
variety of fuel products of commercial interest. Despite the large
number of contributions describing the products’ extraction,
upgrading, and potential refining schemes, no bio-oil refinery is
currently in operation. The main challenge in building a bio-oil refinery
lies in the lack of an economically viable process configuration.
Systematic studies comparing alternative refinery concepts, or configurations,
are needed to identify the most promising configuration. To the best
of our knowledge, this study is the first to use process graph (P-graph)
methodology for the synthesis of pyrolysis oil refineries. In particular,
this work shows the effectiveness of P-graph methodology in simultaneously
calculating the profitability of various biorefinery designs by using
data reported in the literature and providing information on how the
introduction of new technologies to the database will impact the formation
of profitable biorefinery concepts. Our work demonstrates a methodology
for the addition of new unit operations to the database generated
from the literature. The addition of a centrifuge for water extraction
and a wet oxidation system for acetic acid production resulted in
the generation of 330 biorefinery configurations, seven of which have
a profitability ranging from $1,650 to $23,666/h (USD) with acetic
acid and levoglucosan as the main products, respectively. This demonstrates
that P-graph methodology is useful for discovering optimum techno-economic
scenarios that may otherwise be overlooked.
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