Industry 4.0 Multi-agent System Based Knowledge Representation Through Blockchain

2018 ◽  
pp. 331-337
Author(s):  
Pedro Pinheiro ◽  
Ricardo Santos ◽  
Ricardo Barbosa
Keyword(s):  
Knowledge Representation ◽  
Industry 4.0 ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Digital Twins: Review and Challenges

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Maria G. Juarez ◽  
Vicente J. Botti ◽  
Adriana S. Giret
Keyword(s):  
Computer Science ◽  
Industry 4.0 ◽  
Multi Agent System ◽  
Agent System ◽  
Digital Twin ◽  
Digital Twins ◽  
Science Approach ◽  
Multi Agent ◽  
Current Operating

Abstract With the arises of Industry 4.0, numerous concepts have emerged; one of the main concepts is the digital twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature; the understanding of the concept and its functioning can be diffuse. The main goal of this paper is to provide a review of the existing literature to clarify the concept, operation, and main characteristics of DT, to introduce the most current operating, communication, and usage trends related to this technology, and to present the performance of the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.

MASPI: A Multi Agent System for Prediction in Industry 4.0 Environment

2018 ◽  
pp. 197-206
Author(s):  
Inés Sittón Candanedo ◽  
Sara Rodríguez González ◽  
Fernando De la Prieta ◽  
Angélica González Arrieta
Keyword(s):  
Industry 4.0 ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Industry 4.0: Development of a multi-agent system for dynamic value stream mapping in SMEs

2019 ◽  
Vol 52 ◽  
pp. 1-12 ◽  
Author(s):  
Zhuoyu Huang ◽  
Jiwon Kim ◽  
Alireza Sadri ◽  
Steve Dowey ◽  
Matthew S. Dargusch
Keyword(s):  
Industry 4.0 ◽  
Value Stream Mapping ◽  
Multi Agent System ◽  
Agent System ◽  
Value Stream ◽  
Multi Agent

scholarly journals Translation of Graph-based Knowledge Representation in Multi-agent System

2014 ◽  
Vol 29 ◽  
pp. 1048-1056 ◽  
Author(s):  
Leszek Kotulski ◽  
Adam Sȩdziwy ◽  
Barbara Strug
Keyword(s):  
Knowledge Representation ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Automatic Construction of Virtual Supply Chain as Multi-Agent System Using Enterprise E-Catalogues

2020 ◽  
Vol 14 (5) ◽  
pp. 713-722
Author(s):  
Tatsushi Nishi ◽  
Michiko Matsuda ◽  
Mao Hasegawa ◽  
Roghayyeh Alizadeh ◽  
Ziang Liu ◽  
...  
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Chain Model ◽  
Multi Agent System ◽  
Agent System ◽  
Automatic Construction ◽  
Enterprise Model ◽  
Enterprise Models ◽  
Multi Agent ◽  
Construction System

In Industry 4.0, a network of enterprises and factories is constructed collaboratively and dynamically according to the cyber physical system (CPS) paradigm. It is necessary to build smart supply chains according to this concept. A network of component enterprises in a supply chain would be modeled as a virtual supply chain in the cyber world. From the viewpoint of Industry 4.0, virtualizing a supply chain is the foundation for constructing a CPS for a supply chain. The virtualization of a supply chain makes it easier for companies to study their integrating and expanding opportunities. By using this CPS, comprehensive and autonomous optimization of the supply chain can be achieved. This virtual supply chain can be used to simulate the planning phase with negotiation, as well as the production phase. In this paper, instead of specific mathematical modeling for each supply chain, a general configuration method of a virtual supply chain is proposed. The configuration method of a supply chain model is proposed as a virtual supply chain using enterprise e-catalogues. A virtual supply chain is constructed as a multi-agent system, which is connections of software agents that are automatically created from each selected enterprise model in the e-catalogues. Three types of component enterprise models are provided: manufacturer model, part/material supplier model, and retailer model. Modeling templates for these three types of enterprises are prepared, and each template is a nominal model in terms of enterprise’s behavior. Specific component-enterprise models are prepared by filling the appropriate template. Each component enterprise agent is implemented using the enterprise model selected from the catalogues. Manufacturer, retailer, and supplier e-catalogues, as well as an automatic construction system of a virtual supply chain, are implemented. Methods for developing templates for the manufacturer, retailer and supplier were provided, and the construction system for specific enterprise models (as e-catalogues) is implemented as a trial.

scholarly journals Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination

2016 ◽  
Vol 101 ◽  
pp. 158-168 ◽  
Author(s):  
Shiyong Wang ◽  
Jiafu Wan ◽  
Daqiang Zhang ◽  
Di Li ◽  
Chunhua Zhang
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Smart Factory ◽  
Multi Agent System ◽  
Agent System ◽  
Self Organized ◽  
Multi Agent
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