Integration of an agent-based strategic planner in an enterprise service bus ecosystem

Ferreira, Adriano; Pereira, Arnaldo; Rodrigues, Nélson; Barbosa, José; Leitão, Paulo

doi:10.1109/indin.2015.7281929

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…The proposed approach is composed by a set of agents, each one possessing individual functionalities and knowledge, enabling the accomplishment of the production planning requirements, particularly the generation of planning scenarios and the computation of the planning itself. The agency comprises the following types of agents [14]:…”

Section: Agent-based Strategic Planning Architecturementioning

confidence: 99%

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What-if game simulation in agent-based strategic production planners

Leitão

Rodrigues

Barbosa

2015

2015 IEEE 20th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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Abstract-In the nowadays highly unstable manufacturing market, companies are faced, on a daily basis, with important strategic decisions, such as "does the company has the necessary capacity to accept a high volume order?" or "what measures need to be implemented if the product demand increases x% a year?". Decision-makers, i.e. company's managers, rely on their experience and insights supported by classical tools to take such decisions. Classical mathematical solvers or agent-based systems are typical architectural solutions to implement strategic planning tools to support decision-makers on this important task. Within the ARUM (Adaptive Production Management) project, a hybrid strategic planning tool was specified and developed, combining the optimization features of classical solvers with the flexibility and agility of agent systems. This paper briefly presents such architecture and focuses on the generation of the "what-if game" mechanism to support the generation of more intelligent and dynamic planning solutions.

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Section: Agent-based Strategic Planning Architecturementioning

confidence: 99%

“…The agent-based strategic planning tool was developed using the JADE [17] agent-based development framework (see [14] for more technical implementation details). The planning agents use the ILOG CPLEX Optimizer solver to run the optimization techniques that solves the planning problem.…”

Section: A Implementation Detailsmentioning

confidence: 99%

What-if game simulation in agent-based strategic production planners

Leitão

Rodrigues

Barbosa

2015

2015 IEEE 20th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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“…The EV refers to the degree to which an ecosystem is vulnerable, i.e., the sensitivity and self-recovery ability in relation to the adverse effects of external disturbances [63,64]. EV is a comprehensive manifestation of many factors [65], including natural factors and human activities [64][65][66][67]; it not only ensures the rational implementation of ecological restoration measures but also establishes a solid scientific foundation for sustainable development [68].…”

Section: Introductionmentioning

confidence: 99%

Identification of Priority Areas for Ecological Restoration in Coal Mining Areas with a High Groundwater Table Based on Ecological Security Pattern and Ecological Vulnerability

Du,

Hou,

Zhong

et al. 2023

Sustainability

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Resource exploitation and rapid urbanization in coal mining areas with a high groundwater table (CMA-HGT) have created double pressure on regional ecological security and increased the vulnerability of the ecological environment. Ecological restoration should be carried out to balance the relationship between economic development and ecological and environmental protection. An ecological security pattern (ESP) can identify key locations that are critical to maintaining ecosystem service stability and landscape connectivity, with territories displaying relatively high vulnerability identified as priority areas for ecological restoration. The Jining planning area (JPA), a typical representative of CMA-HGT, was taken as the study area. To construct the integrated ESP, ecological sources were identified by measuring the importance of multiple ecosystem services and landscape connectivity. Then, the ecological resistance surface was constructed, and the ecological corridors, pinch points, and barriers were determined using circuit theory. Ecological vulnerability (EV) evaluation was performed from the perspectives of natural factors and human activities. The study results showed that the spatial superposition of ESP and EV can effectively identify priority areas for ecological restoration. The ecological restoration priority areas for ecological sources, ecological corridors, and ecological pinch points were 44.56 km2, 11.7 km2, and 9.96 km2, respectively, and corresponding restoration strategies were proposed. Some valuable references were provided for the identification and restoration of priority areas for ecological restoration in CMA-HGT.

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