An Ontology-Based Multi-Agent Virtual Enterprise System (omave): Part 1: Domain Model<bold>l</Bold>ing and Rule Management

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Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Taylor & Francis Ltd

Open Access Color

Green Open Access

No

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Publicly Funded

No
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Top 10%
Influence
Average
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Top 10%

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Abstract

New advancements in computers and information technologies have yielded novel ideas to create more effective virtual collaboration platforms for multiple enterprises. Virtual enterprise (VE) is a collaboration model between multiple independent business partners in a value chain and is particularly suited to small and medium-sized enterprises (SMEs). The most challenging problem in implementing VE systems is ineffcient and inFLexible data storage and management techniques for VE systems. In this research, an ontology-based multi-agent virtual enterprise (OMAVE) system is proposed to help SMEs shift from the classical trend of manufacturing part pieces to producing high-value-added, high-tech, innovative products. OMAVE targets improvement in the FLexibility of VE business processes in order to enhance integration with available enterprise resource planning (ERP) systems. The architecture of OMAVE supports the requisite FLexibility and enhances the reusability of the data and knowledge created in a VE system. In this article, a detailed description of system features along with the rule-based reasoning and decision support capabilities of OMAVE system are presented. To test and verify the functionality and operation of this system, a sample product was manufactured using OMAVE applications and tools with the contribution of three SMEs.

Description

Sadigh, Bahram Lotfi/0000-0002-3027-3734; Ozbayoglu, Ahmet/0000-0001-7998-5735; UNVER, HAKKI OZGUR/0000-0002-4632-3505; Dogdu, Erdogan/0000-0001-5987-0164

Keywords

virtual enterprise, domain ontology, multi-agent systems, OWL, semantic reasoning, Semantic Reasoning, Virtual Enterprise, Domain Ontology, Multi-Agent Systems, Owl

Fields of Science

0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Q2

Scopus Q

Q1
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OpenCitations Citation Count
16

Source

International Journal of Computer Integrated Manufacturing

Volume

30

Issue

2-3

Start Page

320

End Page

343

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Citations

CrossRef : 2

Scopus : 19

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Mendeley Readers : 87

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Google Scholar™
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OpenAlex FWCI
6.8087

Sustainable Development Goals

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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