scholarly journals The Fabricare system: a multi-agent-based scheduling prototype

2004 ◽  
Vol 15 (2) ◽  
pp. 156-165 ◽  
Author(s):  
Paulo Sousa ◽  
Carlos Ramos ◽  
José Neves
Keyword(s):  
System A ◽  
Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2815
Author(s):  
Xiaohui Zhang ◽  
Shufeng Tang ◽  
Xinhua Liu ◽  
Reza Malekian ◽  
Zhixiong Li

This paper proposes a multi-agent-based collaborative virtual manufacturing environment (VME) to save energy consumption and improve efficiency in the manufacturing process. In order to achieve the high autonomy of the manufacturing system, a multi-agent system (MAS) is designed to build a collaborative VME. In this new VME environment, edge computing is embedded to strengthen the cyber resource utilization and system economy. Moreover, an efficient communication channel between networks is proposed. The subsequent cooperation and collaboration protocols among agents are designed to ensure flexible and process-oriented operations. Furthermore, the fuzzy resolution algorithm is employed to resolve the competition conflicts among function-similar MASs in the distributed manufacturing scenario. Lastly, a simulation and case study are performed to evaluate the performance of the proposed VME in Internet of Things (IoT)-based manufacturing. The analysis results have demonstrated the feasibility and effectiveness of the proposed VME system.


1998 ◽  
Vol 31 (15) ◽  
pp. 673-678 ◽  
Author(s):  
Erwan Tranvouez ◽  
Bernard Espinasse ◽  
Jean-Paul Chirac

Author(s):  
Álvaro Lozano Murciego ◽  
Gabriel Villarrubia González ◽  
Alberto López Barriuso ◽  
Daniel Hernández De La Iglesia ◽  
Jorge Revuelta Herrero

Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers. Furthermore a route system is developed to optimize the routes of the trucks and a mobile application has been developed to help drivers in their working days. In order to evaluate and validate the proposed system a practical case study in a real city environment is modeled using open data available and with the purpose of identifying limitations of the system.


Author(s):  
Yasuhiro Sudo ◽  
Keisuke Kasiwase ◽  
Michiko Matsuda

This study is an examination of the effect of agent-based autonomous production scheduling, using the virtual factory on multi-agent simulation system. In the autonomous manufacturing system, a production plan is generated autonomously and dynamically, using communication and negotiation between agents that correspond to factory components. As infrastructure software for agent based manufacturing, the artisoc(c) is used as multi-agent simulator system. In this virtual factory, three types of agents are equipped. Users can operate a configuration such as input new jobs, adjusting a machine setting, etc, with monitoring conditions of agents. Additionally, this simulator has capability of input and output files such as assembly process schedules and logs of practical operations. As a result, by adjustment of the agent’s behavior with factory floor detail, the assembly schedule becomes more effective. The experiment was carried out to show that local negotiations contribute to global optimization when resources in the factory are effectively distributed and shared.


2019 ◽  
pp. 1745-1763
Author(s):  
Antonio Carlos da Rocha Costa

Landscape ecology concerns the analysis, modeling and management of landscapes and their component ecosystems, mostly in view of the effects of the anthropic actions that they may suffer. As such, landscape ecology is well amenable to be supported by agent-based computational tools. In this chapter, we introduce the concept of “multi-societal agent system”, a formal architectural model for distributed multi-agent systems, and we interpret it in ecological terms, to serve as an agent-based theoretical foundation for computer-aided landscape ecology. More specifically, we introduce the “ecosystems as agent societies” and “landscapes as multi-societal agent systems” approaches to ecosystems and landscapes, together with the core elements of the agent-based architectural models that support such approaches. The elements of those architectural models are then used to formally capture the main organizational and functional aspects of ecosystems and landscapes.


Author(s):  
Antonio Carlos da Rocha Costa

Landscape ecology concerns the analysis, modeling and management of landscapes and their component ecosystems, mostly in view of the effects of the anthropic actions that they may suffer. As such, landscape ecology is well amenable to be supported by agent-based computational tools. In this chapter, we introduce the concept of “multi-societal agent system”, a formal architectural model for distributed multi-agent systems, and we interpret it in ecological terms, to serve as an agent-based theoretical foundation for computer-aided landscape ecology. More specifically, we introduce the “ecosystems as agent societies” and “landscapes as multi-societal agent systems” approaches to ecosystems and landscapes, together with the core elements of the agent-based architectural models that support such approaches. The elements of those architectural models are then used to formally capture the main organizational and functional aspects of ecosystems and landscapes.


2021 ◽  
Vol 13 (02) ◽  
pp. 1-14
Author(s):  
Muhammed Kabir Ahmed ◽  
Aliyuda Ali ◽  
Ali Ahmad Aminu ◽  
Hassan Ibrahim

Stock Market plays a vital role in the economy of every nation. Having a transparent market may boost the confidence of not only stock brokers but also that of investors. One of the major problems that make investors to shy away from the market is lack of transparency. Another Problem which affect the market regulators is the lack of a system that enable them to check for compliance easily. In this work, an agent based distributed framework is presented. The idea behind the proposed system is that having one system that will serve all the market stake holders will guaranty strict compliance to the market rules, easier to manage and difficult manipulate by the market operators. The implementation of the proposed system followed Multi-Agent Software Engineering (MaSE) Methodology. The evaluation of the system show that, the distributed system developed using Java Agent Development Framework (JADE) is capable of addressing problems of reliability, compliance and transparency.


2013 ◽  
Vol 133 (9) ◽  
pp. 1652-1657 ◽  
Author(s):  
Takeshi Nagata ◽  
Kosuke Kato ◽  
Masahiro Utatani ◽  
Yuji Ueda ◽  
Kazuya Okamoto ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document