Distributed MAS with Leaderless Consensus to Job-Shop Scheduler in a Virtual Smart Factory with Modular Conveyors

Sousa, Antônio de Pádua; Oliveira, André Schneider de

doi:10.1109/lars/sbr/wre51543.2020.9307149

Cited by 8 publications

(2 citation statements)

References 28 publications

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“…The distributed management paradigm is well-suited for permitting the decomposition of management problems, which may arise in the scope of extended, agile, and virtual production systems, usually characterized by higher levels of complexity associated with its underlying networked organization [7,40,43,44,46,96,102].…”

Section: Results Analysis and Discussionmentioning

confidence: 99%

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

et al. 2023

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Nowadays, global resources management intersects with collaboration and Industry 4.0 paradigms, namely for collaboratively managing cyber-physical systems. Only organizations that cooperate with their business partners, along with their suppliers and remaining stakeholders, including their clients, will be able to permit and promote the much-needed endowing of agility, effectiveness, and efficiency in their management processes. For that, suitable decision-making paradigms, along with underlying approaches, will be needed, in order to properly fulfil current companies’ decision requirements and practices. The main purpose of this paper is to show that this can be achieved by applying combined global resources management paradigms and approaches, to reach collaboration further supported by recent technology made available through Industry 4.0. In doing so, the interaction of companies and stakeholders, supported by appropriate networks, along with varying kind of other communication and problem-solving technology, will enable them to promote and reinforce interoperation to reach the best-suited management decisions, by considering each ones’ objectives and priorities, along with common goals. To this end, in this paper, a systematic literature review methodology is used to synthetize the main contributions about the relation of these domains. The study carried out and the results obtained permitted us to realize that dynamic, integrated, distributed, parallel, intelligent, predictive, and real-time-based decision paradigms are of the upmost importance currently, but are still just scarcely being combined, which is suggested though its encompassing through a proposed collaborative management framework that is recommended to be applied, either in industry or academia, to improve global resources management processes and practices.

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Section: Results Analysis and Discussionmentioning

confidence: 99%

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

et al. 2023

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“…Other examples for the application of MAS consensus are presented for smart parking that tests various negotiation strategies to reach agreement between the involved agents [197]. Applications of consensus in other platforms of a smart city such as in block chains [198] and smart grids [199], a smart factory [200], or other services provided by multi-robot rendezvous [201] are investigated in the literature. Consensus can be also applied for distributed computing where different processors need to reach the same estimation after iterative computations [21].…”

Section: Mass Applicationsmentioning

confidence: 99%

A Survey of Adaptive Multi-Agent Networks and Their Applications in Smart Cities

Nezamoddini

Gholami

2022

Smart Cities

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The world is moving toward a new connected world in which millions of intelligent processing devices communicate with each other to provide services in transportation, telecommunication, and power grids in the future’s smart cities. Distributed computing is considered one of the efficient platforms for processing and management of massive amounts of data collected by smart devices. This can be implemented by utilizing multi-agent systems (MASs) with multiple autonomous computational entities by memory and computation capabilities and the possibility of message-passing between them. These systems provide a dynamic and self-adaptive platform for managing distributed large-scale systems, such as the Internet-of-Things (IoTs). Despite, the potential applicability of MASs in smart cities, very few practical systems have been deployed using agent-oriented systems. This research surveys the existing techniques presented in the literature that can be utilized for implementing adaptive multi-agent networks in smart cities. The related literature is categorized based on the steps of designing and controlling these adaptive systems. These steps cover the techniques required to define, monitor, plan, and evaluate the performance of an autonomous MAS. At the end, the challenges and barriers for the utilization of these systems in current smart cities, and insights and directions for future research in this domain, are presented.

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Deadlock-free production using Dempster–Shafer and preset methods in predictive scheduling for multiagent controlled flexible manufacturing systems

de Sousa,

de Oliveira

2024

Applied Soft Computing

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Distributed MAS with Leaderless Consensus to Job-Shop Scheduler in a Virtual Smart Factory with Modular Conveyors

Cited by 8 publications

References 28 publications

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

A Survey of Adaptive Multi-Agent Networks and Their Applications in Smart Cities

Deadlock-free production using Dempster–Shafer and preset methods in predictive scheduling for multiagent controlled flexible manufacturing systems

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